fix(library): make "Identify by audio" outcomes unmistakable

An empty AcoustID result read the same as a broken button. Each state now says
plainly which outcome it is — ✓ fingerprinted-but-no-match vs no-audio vs off vs
unavailable — and, in the popup, points at the manual fallback (Search, or set
the album in Details + cover in Cover art by hand). A ✓ marks the states that
actually ran, so "worked, found nothing" no longer looks like a failure.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

CHANGELOG.md

@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- **`lib/gp_autosync.py`: piecewise time-warp helpers + a working `refine_sync()`.** `auto_sync()` has always computed per-bar sync points (DTW), but consumers could only apply the scalar bar-1 `audio_offset`, so any tempo difference between the recording and the tab's authored tempo accumulated audibly over the song. New librosa-free helpers expose the full mapping: `bar_start_times(gp_path)` (per-bar score times on the same axis as the sync points — GPIF bar-resolution map for `.gp`/`.gpx`, per-tick integration for GP3/4/5), `build_warp_anchors(points, bar_starts)` (strictly-monotonic `(score, audio)` anchor pairs), `warp_time(t, anchors)` (piecewise-linear map with edge-slope extrapolation for count-ins/tails), `warp_song_times(song, warp)` (retimes a `lib.song.Song` in place: notes + sustains, chords, beats, sections, anchors, handshapes, per-phrase difficulty levels, tone changes, tempo overrides), and `gp_has_expandable_repeats(gp_path)` (detects GP3/4/5 repeat/volta/direction markup whose playback expansion the as-written sync points cannot map — callers fall back to offset-only sync). Also implements `refine_sync()`, which the editor plugin's refine-sync endpoint has imported since the snapshot but which never existed in core (the Refine button 500'd): it densifies the coarse DTW points to every Nth bar and re-times each with a local onset phase sweep (sweep radius clamped under half a beat so periodic material can't lock a full beat off; short scoring grid + median residual snap). Synthetic click-track validation: ~13ms mean / ~40ms max error from ±180ms coarse input across 117–123 BPM recordings of a 120 BPM tab. Tests: `tests/test_gp_autosync_warp.py`.
 - **Playlist shuffle.** The v3 playlist detail page gains a crossing-arrows shuffle toggle next to Play all / Play album. When on, `playQueue.start` Fisher-Yates-shuffles the queue once at start (on a copy — the stored playlist order is untouched), swapping any per-slot album arrangements in lockstep so each slot keeps its pinned arrangement. The preference is global and persists in `localStorage` (`v3PlaylistShuffle`). Tests: `tests/js/play_queue_shuffle.test.js`.
 
 ### Changed

lib/gp2rs_gpx.py

@@ -1506,6 +1506,10 @@ def convert_file(
     # Surface that to the caller rather than only the docstring: if the score
     # actually uses repeats, the produced bar count/timing will differ from the
     # equivalent .gp5. Warn once so plugin code/logs don't silently drift.
+    # NB: lib/gp_autosync.gp_has_expandable_repeats() encodes this single-pass
+    # behaviour (.gp/.gpx never expand). Implementing GPIF expansion here MUST
+    # update that helper in the same change, or the editor's per-bar sync warp
+    # would silently retime repeated sections onto the wrong bars.
     if expand_repeats and any(
         mb.find('Repeat') is not None or mb.find('AlternateEndings') is not None
         for mb in masterbars

lib/gp_autosync.py

@@ -18,8 +18,22 @@ plugin is installed; graceful ImportError otherwise with clear message).
 Public API:
     is_available()                          -> bool
     auto_sync(gp_path, audio_path, ...)    -> GpSyncData
+    refine_sync(sync, audio_path, ...)     -> GpSyncData
     estimate_audio_offset(gp_path,
                           audio_path)      -> float
+    bar_start_times(gp_path)               -> list[float]
+    gp_has_expandable_repeats(gp_path)     -> bool
+    build_warp_anchors(sync_points,
+                       bar_starts)         -> list[tuple[float, float]]
+    warp_time(t, anchors)                  -> float
+    warp_song_times(song, warp)            -> None
+
+The warp helpers (bar_start_times / build_warp_anchors / warp_time /
+warp_song_times) are librosa-free: they turn a GpSyncData produced by
+auto_sync (or extracted from a GP8 file) into a piecewise-linear
+score-time -> audio-time mapping and apply it to a lib.song.Song, so
+converted charts follow the recording's actual tempo drift instead of a
+single scalar offset.
 """
 
 from __future__ import annotations
@@ -353,15 +367,22 @@ def _synthesise_score_chroma(
     return chroma
 
 _GP345_TICKS_PER_QUARTER = 960
+# PyGuitarPro absolute ticks start at quarterTime (measure 1 begins at tick
+# 960, not 0). All tick math in this module runs on a 0-based axis (cumulative
+# measure starts), so raw beat.start values must be shifted by this origin —
+# mixing the two axes applied every mid-song tempo change a quarter note late
+# and skewed the synthesised chroma against the bar timeline.
+_GP345_TICK_ORIGIN = 960
 
 
 def _gp345_tempo_events(song) -> list[tuple[int, float]]:
     """Sorted, tick-deduplicated ``[(tick, bpm)]`` tempo events for a GP3/4/5 song.
 
     Seeds with the song's initial tempo at tick 0, then appends every
-    ``mixTableChange`` tempo. Shared by chroma synthesis and bar-time
-    computation so both use one identical tempo model (mirrors
-    ``gp2rs._build_tempo_map``).
+    ``mixTableChange`` tempo. Ticks are normalised to the 0-based axis
+    (raw ``beat.start`` minus ``_GP345_TICK_ORIGIN``). Shared by chroma
+    synthesis and bar-time computation so both use one identical tempo
+    model (mirrors ``gp2rs._build_tempo_map``).
     """
     events: list[tuple[int, float]] = [(0, float(song.tempo))]
     for track in song.tracks:
@@ -371,7 +392,10 @@ def _gp345_tempo_events(song) -> list[tuple[int, float]]:
                     if beat.effect and beat.effect.mixTableChange:
                         mtc = beat.effect.mixTableChange
                         if mtc.tempo and mtc.tempo.value > 0:
-                            events.append((beat.start, float(mtc.tempo.value)))
+                            events.append((
+                                max(0, beat.start - _GP345_TICK_ORIGIN),
+                                float(mtc.tempo.value),
+                            ))
     events.sort(key=lambda e: e[0])
     seen_ticks: set[int] = set()
     unique: list[tuple[int, float]] = []
@@ -459,8 +483,9 @@ def _synthesise_score_chroma_gp345(
                 for beat in voice.beats:
                     if not beat.notes:
                         continue
-                    beat_secs = tick_to_secs(beat.start)
-                    cur_tempo = tempo_at_tick(beat.start)
+                    beat_tick = max(0, beat.start - _GP345_TICK_ORIGIN)
+                    beat_secs = tick_to_secs(beat_tick)
+                    cur_tempo = tempo_at_tick(beat_tick)
                     dur_secs = duration_to_secs(beat.duration, cur_tempo)
 
                     for note in beat.notes:
@@ -520,6 +545,45 @@ def _dtw_align(
 
 # ── Sync point extraction from DTW path ──────────────────────────────────────
 
+def _gpif_bar_starts(root: ET.Element) -> list[float]:
+    """Score-time (seconds) at the start of each masterbar in a GPIF score.
+
+    Integrates bar durations from the bar-resolution tempo map and each
+    masterbar's time signature — the same time model _synthesise_score_chroma
+    uses, so bar times land where the bars sit in the synthesised chroma.
+    """
+    tempo_map = _get_tempo_map(root)
+    masterbars = _children(root, 'MasterBars')
+    tempo_iter = iter(tempo_map)
+    next_tb, next_bpm = next(tempo_iter, (999999, tempo_map[0][1]))
+    ct = tempo_map[0][1]
+    t_cur = 0.0
+    bar_starts: list[float] = []
+    for mb_idx, mb in enumerate(masterbars):
+        while mb_idx >= next_tb:
+            ct = next_bpm
+            next_tb, next_bpm = next(tempo_iter, (999999, ct))
+        bar_starts.append(t_cur)
+        ts = mb.findtext('Time', '4/4')
+        try:
+            n_b, d_b = [int(x) for x in ts.split('/')]
+        except ValueError:
+            n_b, d_b = 4, 4
+        t_cur += n_b * (4.0 / d_b) * (60.0 / ct)
+    return bar_starts
+
+
+def _gp345_measure_start_ticks(song) -> list[int]:
+    """Cumulative start tick of each measure in a PyGuitarPro song."""
+    starts: list[int] = []
+    cum = 0
+    for mh in song.measureHeaders:
+        starts.append(cum)
+        ts = mh.timeSignature
+        cum += int(ts.numerator * (4.0 / ts.denominator.value) * _GP345_TICKS_PER_QUARTER)
+    return starts
+
+
 def _extract_sync_points(
     wp: 'np.ndarray',
     root: ET.Element,
@@ -565,22 +629,7 @@ def _extract_sync_points(
     if bar_starts_override is not None:
         bar_starts_score = list(bar_starts_override)
     else:
-        tempo_iter = iter(tempo_map)
-        next_tb, next_bpm = next(tempo_iter, (999999, tempo_map[0][1]))
-        ct = tempo_map[0][1]
-        t_cur = 0.0
-        bar_starts_score = []
-        for mb_idx, mb in enumerate(masterbars):
-            while mb_idx >= next_tb:
-                ct = next_bpm
-                next_tb, next_bpm = next(tempo_iter, (999999, ct))
-            bar_starts_score.append(t_cur)
-            ts = mb.findtext('Time', '4/4')
-            try:
-                n_b, d_b = [int(x) for x in ts.split('/')]
-            except ValueError:
-                n_b, d_b = 4, 4
-            t_cur += n_b * (4.0 / d_b) * (60.0 / ct)
+        bar_starts_score = _gpif_bar_starts(root)
 
     # Map each sampled bar to its audio time via the DTW path
     sync_points: list[SyncPoint] = []
@@ -663,6 +712,224 @@ def _tempo_at_bar(tempo_map: list[tuple[int, float]], bar: int) -> float:
 
 # ── Audio offset estimation ───────────────────────────────────────────────────
 
+# ── Piecewise time warp (librosa-free) ───────────────────────────────────────
+#
+# auto_sync's per-bar sync points describe where each sampled bar of the tab
+# falls in the real recording. Applying only the scalar audio_offset (bar 1)
+# assumes the recording holds the authored tempo for the whole song — any
+# drift accumulates. These helpers build the full piecewise-linear
+# score-time -> audio-time mapping and apply it to a converted Song, so the
+# chart follows the recording bar by bar (Songsterr-style sync).
+
+def bar_start_times(gp_path: str) -> list[float]:
+    """Score-time (seconds) at the start of every bar of a GP file.
+
+    Uses the same tempo models as auto_sync's chroma synthesis (GPIF
+    bar-resolution map for .gp/.gpx, per-tick integration for .gp3/4/5), so
+    the returned times share an axis with auto_sync's sync points.
+
+    Raises ValueError if the file cannot be parsed, ImportError if the file
+    is GP3/4/5 and PyGuitarPro is not installed.
+    """
+    try:
+        root = _load_gpif(gp_path)
+    except _Gp345FileError:
+        import guitarpro
+        try:
+            song = guitarpro.parse(gp_path)
+        except Exception as exc:
+            raise ValueError(f"Cannot parse GP3/4/5 file {gp_path!r}: {exc}") from exc
+        tempo_events = _gp345_tempo_events(song)
+        return [
+            _gp345_tick_to_secs(tempo_events, tick)
+            for tick in _gp345_measure_start_ticks(song)
+        ]
+    return _gpif_bar_starts(root)
+
+
+def gp_has_expandable_repeats(gp_path: str) -> bool:
+    """True when converting `gp_path` expands repeats into a longer timeline
+    than the as-written score auto_sync aligned against.
+
+    gp2rs.convert_file walks the GP3/4/5 playback graph (repeat brackets,
+    voltas, D.S./D.C. directions), so a file using any of those produces an
+    as-performed timeline that auto_sync's as-written sync points cannot be
+    mapped onto. GPIF (.gp/.gpx) conversion is single-pass as-written today,
+    so those files always return False — both sides share one bar order.
+
+    Returns False when the file cannot be parsed (callers fall back to
+    offset-only sync on parse failure anyway).
+    """
+    if Path(gp_path).suffix.lower() in ('.gp', '.gpx'):
+        return False
+    try:
+        import guitarpro
+        song = guitarpro.parse(gp_path)
+    except Exception:
+        return False
+    for mh in song.measureHeaders:
+        if mh.isRepeatOpen or mh.repeatClose >= 0 or mh.repeatAlternative:
+            return True
+        # Both jump SOURCES (fromDirection: D.C., D.S., Da Coda) and jump
+        # TARGETS (direction: Segno, Coda, Fine) count — a plain Da Capo
+        # needs no target marker, so checking `direction` alone would miss
+        # it while gp2rs's playback walker still expands the jump.
+        if (getattr(mh, 'direction', None) is not None
+                or getattr(mh, 'fromDirection', None) is not None):
+            return True
+    return False
+
+
+def build_warp_anchors(
+    sync_points: list[SyncPoint],
+    bar_starts: list[float],
+) -> list[tuple[float, float]]:
+    """Turn sync points into (score_secs, audio_secs) anchor pairs.
+
+    Drops points whose bar index is out of range, points that would break
+    strict monotonicity on either axis (DTW can locally fold on noisy audio;
+    a non-monotonic anchor would make the warp non-invertible and reorder
+    notes), and points whose segment slope implies a physically implausible
+    tempo ratio (outside 0.2x-5x authored). Returns [] when fewer than 2
+    usable anchors remain — callers should fall back to scalar-offset sync
+    in that case.
+    """
+    anchors: list[tuple[float, float]] = []
+    for sp in sorted(sync_points, key=lambda p: p.bar):
+        if not 0 <= sp.bar < len(bar_starts):
+            continue
+        score_t = bar_starts[sp.bar]
+        audio_t = float(sp.time_secs)
+        if anchors and (score_t <= anchors[-1][0] + 1e-6
+                        or audio_t <= anchors[-1][1] + 1e-3):
+            continue
+        if anchors:
+            # Slope sanity gate: a segment whose audio/score tempo ratio is
+            # outside [0.2, 5] is not a performance — it's a DTW fold onto a
+            # repeated section, an abridged recording, or a run of
+            # monotonicity-clamped refine points. Keeping it would crush (or
+            # absurdly stretch) every bar in the span, which is far worse
+            # than interpolating through from the neighbouring anchors.
+            slope = (audio_t - anchors[-1][1]) / (score_t - anchors[-1][0])
+            if not 0.2 <= slope <= 5.0:
+                continue
+        anchors.append((score_t, audio_t))
+    return anchors if len(anchors) >= 2 else []
+
+
+def warp_time(t: float, anchors: list[tuple[float, float]]) -> float:
+    """Map a score-time (seconds) to audio-time via piecewise-linear anchors.
+
+    Between anchors: linear interpolation. Outside the anchor range: the
+    nearest segment's slope is extended, so a count-in before bar 1 and the
+    tail after the last sampled bar keep the local tempo ratio.
+
+    `anchors` must be the >=2-point strictly-monotonic list produced by
+    build_warp_anchors.
+    """
+    lo = 0
+    hi = len(anchors) - 1
+    if t <= anchors[0][0]:
+        seg = (anchors[0], anchors[1])
+    elif t >= anchors[hi][0]:
+        seg = (anchors[hi - 1], anchors[hi])
+    else:
+        # Binary search for the segment containing t
+        while hi - lo > 1:
+            mid = (lo + hi) // 2
+            if anchors[mid][0] <= t:
+                lo = mid
+            else:
+                hi = mid
+        seg = (anchors[lo], anchors[hi])
+    (s0, a0), (s1, a1) = seg
+    slope = (a1 - a0) / (s1 - s0)
+    return a0 + (t - s0) * slope
+
+
+def warp_song_times(song, warp) -> None:
+    """Apply a monotonic time-mapping callable to every absolute time in a
+    lib.song.Song, in place.
+
+    Covers beats, sections, song_length, and per-arrangement notes (onset +
+    sustain), chords (incl. chord notes), anchors, hand shapes, per-phrase
+    difficulty levels, tone changes, and tempo overrides. Durations (note
+    sustain, handshape span) are warped as end-start so they stretch with the
+    local tempo ratio; sub-second intra-note envelopes (bend curves, which are
+    relative to the note onset) are left untouched.
+
+    Duck-typed: accepts any object with the lib.song.Song surface.
+
+    Identity-safe: parse_arrangement shares the SAME Note/Chord/Anchor/
+    HandShape objects between the flat arrangement lists and the
+    max-difficulty phrase level, so each object is warped at most once no
+    matter how many containers reference it.
+    """
+    seen: set[int] = set()
+
+    def _once(obj) -> bool:
+        key = id(obj)
+        if key in seen:
+            return False
+        seen.add(key)
+        return True
+
+    def _warp_notes(notes):
+        for n in notes or []:
+            if not _once(n):
+                continue
+            end = warp(n.time + n.sustain)
+            n.time = warp(n.time)
+            n.sustain = max(0.0, end - n.time)
+
+    def _warp_chords(chords):
+        for c in chords or []:
+            if not _once(c):
+                continue
+            c.time = warp(c.time)
+            _warp_notes(c.notes)
+
+    def _warp_anchors(anchors):
+        for a in anchors or []:
+            if _once(a):
+                a.time = warp(a.time)
+
+    def _warp_handshapes(shapes):
+        for h in shapes or []:
+            if not _once(h):
+                continue
+            start = warp(h.start_time)
+            end = warp(h.end_time)
+            h.start_time = start
+            h.end_time = max(start, end)
+
+    song.song_length = max(0.0, warp(song.song_length))
+    for b in song.beats:
+        b.time = warp(b.time)
+    for s in song.sections:
+        s.start_time = warp(s.start_time)
+    for arr in song.arrangements:
+        _warp_notes(arr.notes)
+        _warp_chords(arr.chords)
+        _warp_anchors(arr.anchors)
+        _warp_handshapes(arr.hand_shapes)
+        for ph in arr.phrases or []:
+            ph.start_time = warp(ph.start_time)
+            ph.end_time = warp(ph.end_time)
+            for lvl in ph.levels or []:
+                _warp_notes(lvl.notes)
+                _warp_chords(lvl.chords)
+                _warp_anchors(lvl.anchors)
+                _warp_handshapes(lvl.hand_shapes)
+        if arr.tones and isinstance(arr.tones, dict):
+            for change in arr.tones.get('changes') or []:
+                if isinstance(change, dict) and isinstance(change.get('t'), (int, float)):
+                    change['t'] = warp(float(change['t']))
+        for tempo_ev in arr.tempos or []:
+            if isinstance(tempo_ev, dict) and isinstance(tempo_ev.get('time'), (int, float)):
+                tempo_ev['time'] = warp(float(tempo_ev['time']))
+
+
 def _estimate_audio_offset(
     root: ET.Element,
     audio_path: str,
@@ -932,12 +1199,7 @@ def auto_sync(
         # below line up with the chroma timeline.
         _tempo_events_gp345 = _gp345_tempo_events(_gp345x_song)
         # Convert tick events to bar events using actual measure start ticks
-        _measure_starts = []  # cumulative tick at start of each bar
-        _cum = 0
-        for _mh2 in _gp345x_song.measureHeaders:
-            _measure_starts.append(_cum)
-            _ts = _mh2.timeSignature
-            _cum += int(_ts.numerator * (4.0 / _ts.denominator.value) * _GP345_TICKS_PER_QUARTER)
+        _measure_starts = _gp345_measure_start_ticks(_gp345x_song)
 
         def _tick_to_bar(tick):
             """Return 0-based bar index for a given tick position."""
@@ -1024,6 +1286,216 @@ def auto_sync(
         sync_points=sync_points,
     )
 
+def refine_sync(
+    sync: GpSyncData,
+    audio_path: str,
+    bars_per_point: int = 8,
+    gp_path: str | None = None,
+    sr: int = _SR,
+    search_radius: float = 0.35,
+    phase_step: float = 0.005,
+    onset_tolerance: float = 0.05,
+) -> GpSyncData:
+    """Refine coarse DTW sync points with a per-bar onset phase sweep.
+
+    auto_sync's mid-song points inherit the DTW frame granularity (~186ms at
+    the default hop). This pass re-times a denser grid of bars — every
+    `bars_per_point`-th bar plus the first and last — by sweeping a local
+    beat grid (±`search_radius`s in `phase_step` steps) against detected
+    onsets and keeping the phase that aligns best, narrowing each kept point
+    to roughly the phase-step resolution on percussive material.
+
+    Args:
+        sync:            Coarse sync data from auto_sync (or a prior refine).
+        audio_path:      The same audio file auto_sync aligned against.
+        bars_per_point:  Refined-point density; every Nth bar gets a point.
+        gp_path:         Optional path to the GP file. When given, exact
+                         per-bar score times (bar_start_times) drive the
+                         densified grid; without it the grid is limited to
+                         a 4/4 approximation built from the points' authored
+                         tempos, and accuracy degrades on odd meters.
+        sr:              Analysis sample rate.
+        search_radius:   ±seconds around each coarse estimate to sweep.
+        phase_step:      Sweep resolution in seconds.
+        onset_tolerance: Max onset-to-click distance that counts as aligned.
+
+    Returns:
+        A new GpSyncData with the refined (and usually denser) points and a
+        recomputed audio_offset. Returns `sync` unchanged when it has no
+        usable points. Quiet bars (fewer than 4 onsets nearby) keep their
+        coarse interpolated time rather than locking onto noise.
+    """
+    if not sync.sync_points:
+        return sync
+
+    pts = sorted(sync.sync_points, key=lambda p: p.bar)
+
+    bar_starts: list[float] | None = None
+    if gp_path:
+        try:
+            bar_starts = bar_start_times(gp_path)
+        except Exception as exc:
+            _log.warning("refine_sync: bar_start_times(%s) failed (%s) — "
+                         "falling back to 4/4 tempo model", gp_path, exc)
+    if bar_starts is None:
+        # Approximate score bar starts from the points' authored tempos,
+        # assuming 4 beats per bar (all GpSyncData carries without the file).
+        max_bar = pts[-1].bar
+        bar_starts = [0.0]
+        ti = 0
+        cur_bpm = pts[0].original_tempo or 120.0
+        for b in range(1, max_bar + 1):
+            while ti + 1 < len(pts) and pts[ti + 1].bar <= b - 1:
+                ti += 1
+                cur_bpm = pts[ti].original_tempo or cur_bpm
+            bar_starts.append(bar_starts[-1] + 4 * 60.0 / max(cur_bpm, 1e-3))
+
+    anchors = build_warp_anchors(pts, bar_starts)
+    if len(anchors) < 2:
+        _log.warning("refine_sync: fewer than 2 usable anchors — returning "
+                     "input unchanged")
+        return sync
+
+    # Authored-tempo lookup via the shared bar-map scan (_tempo_at_bar) so
+    # boundary semantics can't drift from the rest of the module.
+    _orig_map = [(p.bar, p.original_tempo or 120.0) for p in pts]
+
+    def _orig_bpm_at(bar: int) -> float:
+        return max(_tempo_at_bar(_orig_map, bar), 1e-3)
+
+    n_bars = len(bar_starts)
+    step = max(1, int(bars_per_point))
+    targets = sorted(set(range(0, n_bars, step)) | {n_bars - 1})
+
+    # Deferred past the pure early-return paths above so degenerate inputs
+    # (no points, <2 anchors) resolve without librosa installed.
+    import librosa
+    import numpy as np
+
+    y, _ = librosa.load(audio_path, sr=sr, mono=True)
+    audio_dur = len(y) / sr
+    hop = 512  # ~23ms at 22050Hz — fine enough for onset timing
+    onset_frames = librosa.onset.onset_detect(
+        y=y, sr=sr, hop_length=hop, backtrack=True
+    )
+    onset_times = np.asarray(
+        librosa.frames_to_time(onset_frames, sr=sr, hop_length=hop)
+    )
+
+    refined: list[tuple[int, float]] = []
+    for b in targets:
+        score_t = bar_starts[b]
+        coarse = warp_time(score_t, anchors)
+        if coarse > audio_dur + 1.0:
+            break  # bar falls past the end of the recording
+        # Local beat period in AUDIO time: authored beat period scaled by the
+        # local warp slope (recording tempo / authored tempo around this bar).
+        slope = warp_time(score_t + 1.0, anchors) - coarse
+        slope = min(max(slope, 0.25), 4.0)
+        beat_period = (60.0 / _orig_bpm_at(b)) * slope
+
+        # Keep the scoring grid short: beat_period is estimated from the
+        # coarse anchors (a few % off), and grid drift grows linearly with
+        # distance — 16 beats at 2% error is already ~150ms of skew at the
+        # far end, which drags the sweep. 8 beats bounds that to ~beat noise.
+        grid_span = 8 * beat_period
+        # Clamp the sweep window below half a beat so the neighbouring beat
+        # is never a candidate — on periodic material (steady drums) a grid
+        # shifted by one whole beat scores identically and the sweep could
+        # lock a full beat off. DTW coarse error is ~1 analysis frame, which
+        # this window still covers at all but extreme tempos.
+        radius = min(search_radius, 0.45 * beat_period)
+        w_lo = coarse - radius - onset_tolerance
+        w_hi = coarse + radius + grid_span + onset_tolerance
+        local = onset_times[(onset_times >= w_lo) & (onset_times <= w_hi)]
+        if len(local) < 4:
+            refined.append((b, coarse))
+            continue
+
+        best_t, best_score, best_dist = coarse, -1, 0.0
+        for phase in np.arange(coarse - radius, coarse + radius + 1e-9,
+                               phase_step):
+            clicks = np.arange(phase, phase + grid_span, beat_period)
+            score = int(sum(
+                1 for t in local
+                if float(np.min(np.abs(clicks - t))) < onset_tolerance
+            ))
+            dist = abs(float(phase) - coarse)
+            # Ties break toward the coarse estimate so a flat score surface
+            # (sustained pads, sparse onsets) can't drag the point sideways.
+            if score > best_score or (score == best_score and dist < best_dist):
+                best_score, best_t, best_dist = score, float(phase), dist
+
+        # A sweep that matched almost nothing found a spurious edge
+        # alignment, not the beat grid — this happens when the true phase
+        # lies outside the (ambiguity-clamped) window, e.g. fast tempos
+        # where the DTW coarse error exceeds half a beat. Keeping the
+        # coarse estimate degrades gracefully instead of locking a
+        # fraction of a beat off.
+        if best_score < 3:
+            refined.append((b, coarse))
+            continue
+
+        # The onset-count score is flat within ±onset_tolerance of the true
+        # phase, so the sweep alone can be off by up to the tolerance. Snap
+        # inside that plateau: shift by the median residual between matched
+        # onsets and their nearest grid click. Only the first few beats
+        # count here — they are nearly insensitive to beat_period error,
+        # while far clicks would leak that error into the residuals.
+        if best_score > 0:
+            clicks = np.arange(best_t, best_t + 4 * beat_period + 1e-9,
+                               beat_period)
+            residuals = []
+            for t in local:
+                d = clicks - float(t)
+                j = int(np.argmin(np.abs(d)))
+                if abs(d[j]) < onset_tolerance:
+                    residuals.append(-float(d[j]))  # onset minus click
+            if residuals:
+                best_t += float(np.median(residuals))
+        refined.append((b, best_t))
+
+    if not refined:
+        return sync
+
+    # Enforce monotonicity: a point refined earlier than its predecessor
+    # would fold the warp. Clamp to a small positive gap.
+    mono: list[tuple[int, float]] = []
+    prev_t: float | None = None
+    for b, t in refined:
+        t = max(t, 0.0)
+        if prev_t is not None and t <= prev_t + 0.02:
+            t = prev_t + 0.02
+        mono.append((b, t))
+        prev_t = t
+
+    # Recompute per-segment modified tempos from the refined times (same
+    # formula _extract_sync_points uses; the last point carries the previous
+    # segment's tempo forward).
+    new_points: list[SyncPoint] = []
+    for i, (b, t) in enumerate(mono):
+        obpm = _orig_bpm_at(b)
+        if i + 1 < len(mono):
+            b2, t2 = mono[i + 1]
+            score_seg = bar_starts[b2] - bar_starts[b]
+            audio_seg = t2 - t
+            mod = obpm * (score_seg / audio_seg) if audio_seg > 1e-3 else obpm
+            mod = max(20.0, min(300.0, mod))
+        else:
+            mod = new_points[-1].modified_tempo if new_points else obpm
+        new_points.append(SyncPoint(
+            bar=b, time_secs=t, modified_tempo=mod, original_tempo=obpm,
+        ))
+
+    _log.info("refine_sync: %d points (was %d), audio_offset=%.3fs",
+              len(new_points), len(pts), -new_points[0].time_secs)
+    return GpSyncData(
+        audio_offset=-new_points[0].time_secs,
+        audio_asset_id=sync.audio_asset_id,
+        sync_points=new_points,
+    )
+
+
 def estimate_audio_offset(gp_path: str, audio_path: str) -> float:
     """
     Estimate the audio_offset for a GP file aligned to an audio file.

lib/mb_match.py

@@ -144,12 +144,31 @@ def _duration_int(v):
         return None
 
 
+def cand_artist_sim(song: dict, cand: dict) -> float:
+    """Best artist similarity between the song's reference artist and the
+    candidate's PRIMARY name OR any of its `artist_aliases` (romanized/alternate
+    names). MusicBrainz stores many artists under a non-Latin primary name
+    (大橋純子) with the romanized form ("Junko Ohashi") only as an alias, so a
+    reference typed/derived in romaji scores 0 against the primary but 1.0
+    against the alias. The caller (server) attaches `artist_aliases` only for
+    promising near-misses, so this is a plain max when they're present and the
+    original single comparison when they're not."""
+    best = similarity(song.get("artist"), cand.get("artist"), artist=True)
+    for alias in cand.get("artist_aliases") or []:
+        if best >= 1.0:
+            break
+        s = similarity(song.get("artist"), alias, artist=True)
+        if s > best:
+            best = s
+    return best
+
+
 def score_candidate(song: dict, cand: dict) -> float:
     """Combined confidence that MusicBrainz candidate `cand` is the song the
     chart transcribes. 0.5*artist + 0.5*title, plus small year/duration
     corroboration bonuses, capped at 1.0. Missing fields score 0 on their
     half — classify() separately refuses to auto-match without both."""
-    artist_sim = similarity(song.get("artist"), cand.get("artist"), artist=True)
+    artist_sim = cand_artist_sim(song, cand)
     title_sim = similarity(song.get("title"), cand.get("title"))
     score = 0.5 * artist_sim + 0.5 * title_sim
     sy, cy = _year_int(song.get("year")), _year_int(cand.get("year"))
@@ -180,7 +199,7 @@ def classify(song: dict, cand: dict, score: float, auto_min: float | None = None
     """
     if auto_min is None:
         auto_min = AUTO_MIN
-    artist_sim = similarity(song.get("artist"), cand.get("artist"), artist=True)
+    artist_sim = cand_artist_sim(song, cand)
     title_sim = similarity(song.get("title"), cand.get("title"))
     if (score >= auto_min and artist_sim >= AUTO_ARTIST_MIN
             and title_sim >= AUTO_TITLE_MIN):

server.py

@@ -199,6 +199,7 @@ _DEMO_BLOCKED: list[tuple[str, re.Pattern]] = [
     ("DELETE", re.compile(r"^/api/audio-effects/active-mapping$")),
     ("POST",   re.compile(r"^/api/song/.*/meta$")),
     ("POST",   re.compile(r"^/api/song/.*/art/upload$")),
+    ("PUT",    re.compile(r"^/api/song/.+/overrides$")),
     ("GET",    re.compile(r"^/api/plugins/updates$")),
     ("POST",   re.compile(r"^/api/plugins/[^/]+/update$")),
     ("POST",   re.compile(r"^/api/plugins/editor/save$")),
@@ -555,7 +556,13 @@ def next_library_cursor(sort: str, last_song: dict | None) -> str | None:
     key = "mtime" if col == "mtime" else col
     if key not in last_song or "filename" not in last_song:
         return None
-    return _encode_cursor([last_song[key], last_song["filename"]])
+    # A title display-override (Fix-metadata popup) replaces last_song["title"]
+    # for the card, but the keyset seek runs on the RAW title column — resume
+    # from the raw value query_page stashed (present only when the last row's
+    # title was overridden), so paging never skips/dupes.
+    val = (last_song["_sort_title"] if (key == "title" and "_sort_title" in last_song)
+           else last_song[key])
+    return _encode_cursor([val, last_song["filename"]])
 
 
 # Song-level "mastered" threshold — best accuracy across a song's arrangements
@@ -667,6 +674,26 @@ class MetadataDB:
             )
         """)
         self.conn.execute("CREATE INDEX IF NOT EXISTS idx_song_tags_tag ON song_tags(tag COLLATE NOCASE)")
+        # Per-field metadata OVERRIDES + LOCKS (the Fix-metadata popup). A
+        # reversible DISPLAY overlay, never written to the pack: `value` is the
+        # user's corrected value for a catalog field (title/artist/album/year/
+        # genre), `locked=1` pins the field so a metadata refresh / auto-match
+        # never changes what's shown for it (Plex-style field lock). Effective
+        # display value = override → matched-MusicBrainz → pack → derived.
+        # Filename-keyed → purged with the song on delete_song, NEVER on a
+        # rescan (delete_missing), so an edit survives re-import like every other
+        # local layer.
+        self.conn.execute("""
+            CREATE TABLE IF NOT EXISTS song_field_override (
+                filename TEXT NOT NULL,
+                field TEXT NOT NULL,        -- title|artist|album|year|genre
+                value TEXT,                 -- corrected value (NULL = lock only, no override)
+                locked INTEGER NOT NULL DEFAULT 0,
+                updated_at TEXT,
+                PRIMARY KEY (filename, field)
+            )
+        """)
+        self.conn.execute("CREATE INDEX IF NOT EXISTS idx_field_override_fn ON song_field_override(filename)")
         # Artist-name aliases (P4): "ACDC" → "AC/DC", "the beatles" → "The Beatles".
         # A CANONICALIZATION OVERRIDE applied AT DISPLAY only — the scanner-derived
         # `songs.artist` and the feedpak files are never rewritten (a rescan can't
@@ -1168,6 +1195,88 @@ class MetadataDB:
             self.conn.commit()
         return self.get_song_user_meta(filename)
 
+    # ── Per-field metadata overrides + locks (Fix-metadata popup) ─────────────
+    def get_song_overrides(self, filename: str) -> dict:
+        """{field: {"value": str|None, "locked": bool}} for one song."""
+        rows = self.conn.execute(
+            "SELECT field, value, locked FROM song_field_override WHERE filename = ?",
+            (filename,)).fetchall()
+        return {r[0]: {"value": r[1], "locked": bool(r[2])} for r in rows}
+
+    def set_song_override(self, filename: str, field: str, *,
+                          value="__keep__", locked="__keep__") -> dict:
+        """Partial upsert of one field's override value and/or lock. Pass a
+        value/locked to set it or leave the sentinel to keep the current one. A
+        row with neither a value nor a lock is dropped (no empty shell). Returns
+        the song's full override map."""
+        with self._lock:
+            cur = self.conn.execute(
+                "SELECT value, locked FROM song_field_override WHERE filename = ? AND field = ?",
+                (filename, field)).fetchone()
+            new_val = (cur[0] if cur else None) if value == "__keep__" else value
+            new_lock = (bool(cur[1]) if cur else False) if locked == "__keep__" else bool(locked)
+            new_val = (new_val or "").strip() or None
+            if new_val is None and not new_lock:
+                self.conn.execute(
+                    "DELETE FROM song_field_override WHERE filename = ? AND field = ?",
+                    (filename, field))
+            else:
+                self.conn.execute(
+                    "INSERT INTO song_field_override (filename, field, value, locked, updated_at) "
+                    "VALUES (?, ?, ?, ?, datetime('now')) "
+                    "ON CONFLICT(filename, field) DO UPDATE SET "
+                    "value = excluded.value, locked = excluded.locked, updated_at = excluded.updated_at",
+                    (filename, field, new_val, 1 if new_lock else 0))
+            self.conn.commit()
+        return self.get_song_overrides(filename)
+
+    def locked_fields(self, filename: str) -> set:
+        """The catalog fields the user LOCKED for a song (Fix-metadata popup).
+        An automatic match must never (re)canonicalize these, and gap-fill must
+        never write them to the file. Locked read (the enrichment worker calls
+        it), minimal projection."""
+        with self._lock:
+            return {r[0] for r in self.conn.execute(
+                "SELECT field FROM song_field_override WHERE filename = ? AND locked = 1",
+                (filename,)).fetchall()}
+
+    def clear_song_override(self, filename: str, field: str) -> dict:
+        """Remove a field's override + lock entirely (revert to the resolved
+        pack/matched value)."""
+        with self._lock:
+            self.conn.execute(
+                "DELETE FROM song_field_override WHERE filename = ? AND field = ?",
+                (filename, field))
+            self.conn.commit()
+        return self.get_song_overrides(filename)
+
+    def overrides_map(self, filenames) -> dict:
+        """{filename: {field: {value, locked}}} for a batch — feeds the grid's
+        effective-value resolution (display slice). Chunked under SQLite's
+        variable limit."""
+        fns = list(filenames)
+        out: dict = {}
+        for i in range(0, len(fns), 400):
+            chunk = fns[i:i + 400]
+            if not chunk:
+                break
+            q = ("SELECT filename, field, value, locked FROM song_field_override "
+                 "WHERE filename IN (%s)" % ",".join("?" * len(chunk)))
+            for fn, field, value, locked in self.conn.execute(q, chunk).fetchall():
+                out.setdefault(fn, {})[field] = {"value": value, "locked": bool(locked)}
+        return out
+
+    def pack_fields(self, filename: str) -> dict:
+        """The stored (pack) values for the overridable catalog fields — the
+        Fix-metadata popup shows these behind each override as the 'revert to
+        pack' reference + the Yours/Pack provenance. Empty strings for a missing
+        song so the popup always has a value to render."""
+        keys = ("title", "artist", "album", "year", "genre")
+        row = self.conn.execute(
+            "SELECT title, artist, album, year, genre FROM songs WHERE filename = ?",
+            (filename,)).fetchone()
+        return {k: ((row[i] or "") if row else "") for i, k in enumerate(keys)}
+
     def set_song_tags(self, filename: str, tags) -> list:
         """Replace ALL of a song's tags with the given set (each normalized;
         blanks + case-dupes dropped). Full-replace so the whole personal-meta
@@ -1232,6 +1341,7 @@ class MetadataDB:
         INSIDE the caller's `meta_db._lock` — must not re-acquire the lock."""
         self.conn.execute("DELETE FROM song_user_meta WHERE filename = ?", (filename,))
         self.conn.execute("DELETE FROM song_tags WHERE filename = ?", (filename,))
+        self.conn.execute("DELETE FROM song_field_override WHERE filename = ?", (filename,))
 
     def batch_user_meta(self, filenames, *, set_difficulty="__keep__",
                         add_tags=None, remove_tags=None) -> int:
@@ -3038,6 +3148,22 @@ class MetadataDB:
                     out[fn] = st
         return out
 
+    def _unmatched_set(self, filenames) -> set:
+        """The subset of `filenames` whose enrichment landed in the 'failed'
+        (no-match) state — feeds the grid's persistent per-card "no match" badge,
+        so the misses stay visible at rest (the batch tile only shows while a
+        refresh runs). Chunked set membership, like favorite_set."""
+        fns = list(filenames)
+        out: set = set()
+        for i in range(0, len(fns), 400):
+            chunk = fns[i:i + 400]
+            if not chunk:
+                break
+            q = ("SELECT filename FROM song_enrichment WHERE match_state = 'failed' "
+                 "AND filename IN (%s)" % ",".join("?" * len(chunk)))
+            out.update(r[0] for r in self.conn.execute(q, chunk).fetchall())
+        return out
+
     def enrichment_song_row(self, filename: str) -> dict | None:
         """The identity fields the matcher/scorer keys on, for one song."""
         row = self.conn.execute(
@@ -4042,6 +4168,20 @@ class MetadataDB:
         fns = [s["filename"] for s in songs]
         udm = self.user_meta_map(fns)
         tgm = self.tags_map(fns)
+        # Enrichment "no match" (failed) set for the page, so a card can show a
+        # persistent "no match" badge — the Refresh-Metadata batch's transient
+        # per-tile state only paints while a pass runs. Cheap set membership like
+        # favs/estd, so the misses stay visible at rest.
+        um = self._unmatched_set(fns)
+        # Per-song display OVERRIDES (Fix-metadata popup, slice 3). "Grid shows
+        # only overrides": the effective cell is the user's override else the
+        # pack value — a matched MusicBrainz canon NEVER silently re-titles a
+        # card (canon lives in the Details drawer + art). Overlaid in Python
+        # over the visible window, keyset-safe exactly like the P4 alias re-label
+        # below: the seek still runs on the raw column (the one overridable
+        # keyset column, title, stashes its raw value for the cursor — see
+        # _sort_title / next_library_cursor).
+        omap = self.overrides_map(fns)
         # Canonical artist at display (P4): re-label the card's artist through the
         # alias override so "ACDC" reads as "AC/DC". Display-only — the row's sort
         # position (raw artist) is untouched, so a card can show a canonical name
@@ -4051,8 +4191,21 @@ class MetadataDB:
         for s in songs:
             s["user_difficulty"] = udm.get(s["filename"])
             s["tags"] = tgm.get(s["filename"], [])
+            s["unmatched"] = s["filename"] in um
             if amap:
                 s["artist"] = amap.get((s.get("artist") or "").lower(), s.get("artist"))
+            # Override wins over the pack AND the alias re-label — it's the user's
+            # explicit per-song choice. Only a non-empty override VALUE replaces a
+            # cell; a lock-only row (value None) leaves the displayed value alone.
+            ov = omap.get(s["filename"])
+            if ov:
+                for field in ("title", "artist", "album", "year"):
+                    cell = ov.get(field)
+                    val = cell.get("value") if cell else None
+                    if val:
+                        if field == "title":
+                            s["_sort_title"] = s["title"]   # raw title, for the keyset cursor
+                        s[field] = val
         # Grouped rows carry the ⚑ N (chart_count) + the work_key from the
         # materialized read-model, so the card can render the "N charts" chip and
         # address the Charts drawer (GET /api/work/{work_key}/charts) without a
@@ -6544,6 +6697,78 @@ _MBID_RE = re.compile(r"^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f
 _ISRC_RE = re.compile(r"^[A-Z]{2}[A-Z0-9]{3}[0-9]{7}$")
 
 
+# ── Alias-aware scoring ───────────────────────────────────────────────────────
+# MusicBrainz stores many artists under a non-Latin PRIMARY name (大橋純子) with
+# the romanized form ("Junko Ohashi") only as an ALIAS. A recording search
+# returns the primary name in its artist-credit, never the aliases — so scoring
+# a romanized reference against the primary gives 0 and the match can't confirm.
+# We fetch the artist's aliases (one throttled lookup, process-cached) and hand
+# them to the scorer, but ONLY for a promising near-miss (title already agrees,
+# artist doesn't) so a normal pass spends no extra requests.
+_ALIAS_ENRICH_MAX = 3          # cap alias lookups per song/search (each is ≤1/s)
+_artist_alias_cache: dict[str, list[str]] = {}
+
+
+def _mb_artist_aliases(artist_id: str) -> list[str]:
+    """Romanized/alternate names for a MusicBrainz artist, process-cached (an
+    artist recurs across a whole discography, so a library of one artist costs
+    ONE lookup). Returns [] for an unknown/aliasless artist. Raises
+    EnrichTransportError on a network failure so the caller pauses the pass
+    (nothing is cached on failure → retried next pass)."""
+    aid = str(artist_id or "")
+    if aid in _artist_alias_cache:
+        return _artist_alias_cache[aid]
+    if not _MBID_RE.match(aid):
+        return []
+    body = _mb_http_get(f"artist/{aid}", {"inc": "aliases"})
+    names: list[str] = []
+    if body:
+        sort_name = str(body.get("sort-name") or "").strip()
+        if sort_name:
+            names.append(sort_name)          # often the romanized form for JP artists
+        for al in body.get("aliases") or []:
+            if isinstance(al, dict) and al.get("name"):
+                names.append(str(al["name"]))
+    seen: set[str] = set()
+    out: list[str] = []
+    for n in names:
+        k = n.casefold()
+        if k and k not in seen:
+            seen.add(k)
+            out.append(n)
+    out = out[:12]
+    _artist_alias_cache[aid] = out
+    return out
+
+
+def _alias_enrich(ref: dict, cands: list[dict]) -> None:
+    """Attach `artist_aliases` in place to candidates that look like the
+    non-Latin-primary case — title agrees with the reference but the primary
+    artist doesn't — so the scorer can confirm them via a romanized alias.
+    Bounded by _ALIAS_ENRICH_MAX + the process cache; a no-op when the
+    reference has no artist or nothing is aliasable."""
+    ref_artist = (ref.get("artist") or "").strip()
+    if not ref_artist:
+        return
+    spent = 0
+    for c in cands:
+        if spent >= _ALIAS_ENRICH_MAX:
+            break
+        if not isinstance(c, dict) or c.get("artist_aliases") is not None:
+            continue
+        aid = c.get("artist_id")
+        if not aid:
+            continue
+        # Only spend a lookup on a promising near-miss: the title already
+        # matches, but the primary artist doesn't (that's the alias signature).
+        if mb_match.similarity(ref.get("title"), c.get("title")) < mb_match.AUTO_TITLE_MIN:
+            continue
+        if mb_match.similarity(ref_artist, c.get("artist"), artist=True) >= mb_match.AUTO_ARTIST_MIN:
+            continue
+        c["artist_aliases"] = _mb_artist_aliases(aid)   # cached; attach [] to avoid refetch
+        spent += 1
+
+
 def _manifest_exact_ids(filename: str) -> dict:
     """Optional `mbid`/`isrc` from the pack manifest — the spec's additive
     identity keys. Feature-detected: packs published before that spec
@@ -6892,6 +7117,34 @@ def _artist_title_from_filename(filename: str) -> dict | None:
     return {"artist": artist, "title": title}
 
 
+# A per-song LOCK (Fix-metadata popup) → the candidate display keys it
+# suppresses on an AUTOMATIC match. Identity keys (recording/release/artist ids,
+# isrc) are deliberately absent: a locked DISPLAY field still gets matched for
+# art + future re-match, it just isn't re-canonicalized behind the user's back.
+_LOCK_FIELD_TO_CAND = {
+    "artist": ("artist", "artist_sort"),
+    "title": ("title",),
+    "album": ("album",),
+    "year": ("year",),
+    "genre": ("genres",),
+}
+
+
+def _compose_lock_filter(base_filter, locked_fields):
+    """Wrap the pass's global per-field apply-filter with a per-song filter that
+    also strips the song's LOCKED display fields, so an automatic match never
+    re-canonicalizes a field the user pinned. Returns base_filter unchanged when
+    the song has no relevant lock (the common path)."""
+    blocked = {ck for f in locked_fields for ck in _LOCK_FIELD_TO_CAND.get(f, ())}
+    if not blocked:
+        return base_filter
+
+    def lock_filter(cand):
+        c = base_filter(cand) if base_filter else cand
+        return {k: v for k, v in c.items() if k not in blocked}
+    return lock_filter
+
+
 def _enrich_one(row: dict, auto_min: float | None = None, field_filter=None,
                 apply_mask: str = "") -> None:
     """The matcher (P8; replaces P7's no-op). Precedence per design §5:
@@ -6917,6 +7170,14 @@ def _enrich_one(row: dict, auto_min: float | None = None, field_filter=None,
     siblings. Network errors raise EnrichTransportError so the pass pauses
     instead of burning attempts while offline."""
     fn, chash = row["filename"], row["content_hash"]
+    # Respect per-song field LOCKS (Fix-metadata popup): an automatic match must
+    # not re-canonicalize a field the user pinned. Compose the lock filter onto
+    # the pass's global apply-filter — both the cache-copy and text-match auto
+    # paths run their candidate through it. (Review/manual picks bypass the
+    # filter, so confirming a match in the modal is an explicit override.)
+    locked = meta_db.locked_fields(fn)
+    if locked:
+        field_filter = _compose_lock_filter(field_filter, locked)
 
     cached = meta_db.enrichment_cache_lookup(chash, exclude_filename=fn)
     if cached:
@@ -6956,7 +7217,13 @@ def _enrich_one(row: dict, auto_min: float | None = None, field_filter=None,
                                            cand=field_filter(cands[0]) if field_filter else cands[0])
             return
 
-    ranked = mb_match.rank_candidates(ref, _mb_search_recordings(ref.get("artist"), ref.get("title")))
+    cands = _mb_search_recordings(ref.get("artist"), ref.get("title"))
+    # Alias-enrich promising near-misses (title agrees, primary artist doesn't)
+    # so a non-Latin-primary artist can confirm via its romanized alias, then
+    # rank once with the aliases in hand. `ref` carries any filename-derived
+    # artist seed, so alias scoring runs against the searched identity.
+    _alias_enrich(ref, cands)
+    ranked = mb_match.rank_candidates(ref, cands)
     best = ranked[0] if ranked else None
     tier = mb_match.classify(ref, best, best["score"], auto_min=auto_min) if best else "none"
     if tier == "auto":
@@ -7851,6 +8118,13 @@ def api_enrichment_search(artist: str = "", title: str = "", limit: int = 8,
     if duration and duration > 0 and not ref.get("duration"):
         ref = dict(ref)
         ref["duration"] = duration
+    # Alias-enrich so a non-Latin-primary artist (大橋純子) ranks by its
+    # romanized alias against the typed query ("Junko Ohashi") instead of
+    # sinking to the bottom with a 0 artist score.
+    try:
+        _alias_enrich(ref, cands)
+    except EnrichTransportError:
+        pass   # aliases are a ranking nicety here; fall back to primary-name scoring
     return {"candidates": mb_match.rank_candidates(ref, cands)}
 
 
@@ -8589,6 +8863,10 @@ async def list_library(q: str = "", page: int = 0, size: int = 24, sort: str = "
     # The cursor to resume after this page (effective sort folds in dir=desc).
     next_cursor = (next_library_cursor(_effective_keyset_sort(sort, dir), songs[-1])
                    if (is_local and songs) else None)
+    # Drop the private raw-title stash query_page attached for the cursor — it's
+    # an internal keyset detail, not part of the card payload.
+    for s in songs:
+        s.pop("_sort_title", None)
     return {"songs": songs, "total": total, "page": page, "size": size,
             "next_cursor": next_cursor}
 
@@ -8927,6 +9205,60 @@ def put_song_user_meta(filename: str, data: dict):
     return meta_db.get_song_user_meta(key)
 
 
+# Catalog fields the Fix-metadata popup may override/lock — the intersection of
+# "displayable identity" and "safe to correct locally". Guitar/practice facts
+# and personal fields are never overrides.
+_OVERRIDE_FIELDS = frozenset({"title", "artist", "album", "year", "genre"})
+
+
+@app.get("/api/song/{filename:path}/overrides")
+def get_song_overrides(filename: str):
+    """Per-field metadata overrides + locks for one song (Fix-metadata popup):
+    {"overrides": {field: {"value": str|null, "locked": bool}},
+     "pack": {field: str}}. `pack` is the stored value each override sits on top
+    of — the popup's Details tab renders it as the revert-to-pack reference and
+    the Yours/Pack provenance."""
+    key = meta_db._canonical_song_filename(filename)
+    return {"overrides": meta_db.get_song_overrides(key),
+            "pack": meta_db.pack_fields(key)}
+
+
+@app.put("/api/song/{filename:path}/overrides")
+def put_song_overrides(filename: str, data: dict):
+    """Set/clear per-field overrides + locks. Body:
+    `{"overrides": {field: {"value": str|null, "locked": bool}}}`. Only catalog
+    fields (title/artist/album/year/genre) are accepted. A field left with no
+    value and unlocked is removed. Returns the merged override map.
+
+    Clearing rides this PUT (send value:null, locked:false) rather than a DELETE
+    sub-route, because `DELETE /api/song/{filename:path}` already owns every
+    DELETE under /api/song and would shadow it (same reason as tags)."""
+    ov = (data or {}).get("overrides")
+    if not isinstance(ov, dict) or not ov:
+        return JSONResponse({"error": "overrides must be a non-empty object"}, 400)
+    bad = sorted(f for f in ov if f not in _OVERRIDE_FIELDS)
+    if bad:
+        return JSONResponse({"error": "unknown field(s): " + ", ".join(bad)}, 400)
+    key = meta_db._canonical_song_filename(filename)
+    for field, spec in ov.items():
+        if not isinstance(spec, dict):
+            return JSONResponse({"error": f"'{field}' must be an object with value/locked"}, 400)
+        kwargs: dict = {}
+        if "value" in spec:
+            v = spec["value"]
+            if v is None:
+                kwargs["value"] = None
+            elif isinstance(v, (str, int, float)) and not isinstance(v, bool):
+                kwargs["value"] = str(v).strip()[:500]
+            else:
+                return JSONResponse({"error": f"'{field}' value must be a string or null"}, 400)
+        if "locked" in spec:
+            kwargs["locked"] = bool(spec["locked"])
+        if kwargs:
+            meta_db.set_song_override(key, field, **kwargs)
+    return {"overrides": meta_db.get_song_overrides(key)}
+
+
 @app.post("/api/songs/user-meta/batch")
 def batch_song_user_meta(data: dict):
     """Bulk personal-meta edit over a selection — one request instead of N×2
@@ -12095,15 +12427,21 @@ def _gap_fill_proposals(cache_key: str, resolved) -> tuple[dict, str]:
         manifest = sloppak_mod.load_manifest(resolved) or {}
     except Exception:
         return {}, "not-sloppak"
+    # A LOCKED field (Fix-metadata popup) is never gap-filled — the user pinned
+    # it away from the matched value, so writing that value to the file would
+    # be exactly the clobber the lock exists to prevent. (The lock field name is
+    # `genre`; the manifest/gap-fill key is `genres`.)
+    locked = meta_db.locked_fields(cache_key)
     out = {}
     album = (row.get("canon_album") or "").strip()
-    if album and _gap_fill_manifest_absent(manifest, "album"):
+    if album and "album" not in locked and _gap_fill_manifest_absent(manifest, "album"):
         out["album"] = album
     year = (row.get("canon_year") or "").strip()
-    if year.isdigit() and int(year) and _gap_fill_manifest_absent(manifest, "year"):
+    if (year.isdigit() and int(year) and "year" not in locked
+            and _gap_fill_manifest_absent(manifest, "year")):
         out["year"] = int(year)
     genres = [str(g) for g in (row.get("genres") or []) if isinstance(g, str) and g.strip()]
-    if genres and _gap_fill_manifest_absent(manifest, "genres"):
+    if genres and "genre" not in locked and _gap_fill_manifest_absent(manifest, "genres"):
         out["genres"] = genres
     # Identity keys (feedpak spec 1.14.0) — written in canonical form only.
     mbid = (row.get("mb_recording_id") or "").strip().lower()

static/v3/match-review.js

@@ -131,7 +131,8 @@
     let _queue = [];
     let _idx = 0;
     let _lastFocus = null;
-    let _single = false;   // Fix-match mode: one song, no queue navigation
+    let _single = false;   // Fix-metadata mode: one song, no queue navigation
+    let _tab = 'details';  // active tab in single mode: details | cover | match
 
     function ensureModal() {
         let m = document.getElementById('v3-match-modal');
@@ -180,14 +181,17 @@
         loadQueue();
     }
 
-    // Fix-match (R2): the same modal for ONE song — the escape hatch for a
-    // wrong (or missing) match, reachable from the card's ⋮ / right-click
-    // menu. No stored candidates are required: the search panel opens
-    // pre-filled, and a pick pins the match exactly like the review flow.
+    // Fix metadata (R2 → popup slice 4): the tabbed per-song editor for ONE
+    // song, reachable from the card's ⋮ / right-click menu. Three tabs —
+    // Details (type + lock the displayed fields), Cover art (launch the picker),
+    // Match (pin a MusicBrainz identity). Opens on Details: for the obscure /
+    // blank-artist packs this exists to fix, typing the right title is the tool,
+    // and Match is the escape hatch when text search can surface a record.
     function fixMatch(song) {
         if (!song || !song.filename) return;
         _lastFocus = document.activeElement;
         _single = true;
+        _tab = 'details';
         _queue = [{
             filename: song.filename, title: song.title || song.filename,
             artist: song.artist || '', album: song.album || '',
@@ -198,10 +202,7 @@
         const m = ensureModal();
         m.classList.remove('hidden');
         document.getElementById('v3-match-overlay')?.classList.remove('hidden');
-        renderCurrent();
-        // Straight to the point: the search panel is why this mode exists.
-        document.getElementById('v3-match-panel')
-            ?.querySelector('[data-mr-search-toggle]')?.click();
+        renderCurrent();   // _single ⇒ renderTabbed()
     }
 
     function closeModal() {
@@ -214,7 +215,7 @@
     }
 
     function nav(step) {
-        if (!_queue.length) return;
+        if (_single || !_queue.length) return;   // single mode has no queue to page
         _idx = Math.min(Math.max(_idx + step, 0), _queue.length - 1);
         renderCurrent();
     }
@@ -305,17 +306,16 @@
             '</button>';
     }
 
-    function renderCurrent() {
-        const panel = document.getElementById('v3-match-panel');
-        if (!panel) return;
-        if (!_queue.length) { renderDone(); return; }
-        _idx = Math.min(_idx, _queue.length - 1);
-        const song = _queue[_idx];
-        if (song._sel == null) song._sel = 0;
+    // The middle content shared by the queue-review render and the single-song
+    // popup's Match tab: the chart being matched, its candidate list, and the
+    // "search instead" panel. Header + footer differ per surface. When there
+    // are no stored candidates (a manual fix), the search panel opens pre-filled
+    // — searching IS the point in that case.
+    function reviewBodyHtml(song) {
         const sub = [song.artist, song.album, song.year, fmtDur(song.duration)].filter(Boolean).join(' · ');
-
-        panel.innerHTML = headerHtml() +
-            '<div class="p-5 space-y-4 overflow-y-auto v3-scroll">' +
+        const noCands = !(song.candidates || []).length;
+        const prefill = noCands ? [song.artist, song.title].filter(Boolean).join(' – ') : '';
+        return '<div class="p-5 space-y-4 overflow-y-auto v3-scroll min-h-0">' +
             // The chart being matched
             '<div class="flex items-start gap-3">' +
             '<img data-mr-art src="' + esc(artUrl(song)) + '" alt="" loading="lazy" class="w-16 h-16 rounded-lg object-cover bg-fb-card shrink-0">' +
@@ -325,25 +325,27 @@
             '<div class="text-xs text-fb-textDim/70 truncate" title="' + esc(song.filename) + '">' + esc(song.filename) + '</div>' +
             missingChips(song) +
             '</div></div>' +
-            // Candidates (Fix-match mode arrives with none — the search panel
-            // is its whole point, so the empty header is suppressed).
-            ((song.candidates || []).length
-                ? '<div class="space-y-1" role="radiogroup" aria-label="Candidates">' +
+            (noCands
+                ? ''
+                : '<div class="space-y-1" role="radiogroup" aria-label="Candidates">' +
                 '<div class="text-xs font-semibold uppercase tracking-wider text-fb-textDim">Candidates (MusicBrainz)</div>' +
                 song.candidates.map((c, i) => candRowHtml(song, c, i, i === song._sel)).join('') +
-                '</div>'
-                : '') +
-            // Search-instead panel
-            '<div data-mr-search-panel class="hidden space-y-2">' +
+                '</div>') +
+            // Search panel — hidden when candidates exist (a "Search instead…"
+            // toggle reveals it); open + pre-filled when there are none.
+            '<div data-mr-search-panel class="' + (noCands ? '' : 'hidden') + ' space-y-2">' +
             '<div class="flex gap-2">' +
-            '<input data-mr-search-input type="text" class="flex-1 bg-gray-800/50 border border-gray-700 rounded-md px-2 py-1 text-sm text-fb-text outline-none focus:border-fb-primary" placeholder="Artist – Title">' +
+            '<input data-mr-search-input type="text" value="' + esc(prefill) + '" class="flex-1 bg-gray-800/50 border border-gray-700 rounded-md px-2 py-1 text-sm text-fb-text outline-none focus:border-fb-primary" placeholder="Artist – Title">' +
             '<button data-mr-search-go class="text-sm text-fb-primary hover:text-fb-primaryHi border border-fb-primary/40 rounded-md px-3">Search</button></div>' +
             '<div data-mr-search-results class="space-y-1"></div></div>' +
-            '</div>' +
-            // Footer actions. Fix-match mode drops Skip (no queue) and the
-            // accept button when there is nothing to accept — search-result
-            // rows carry their own pick action.
-            '<div class="flex items-center justify-between gap-3 p-5 pt-3 border-t border-fb-border/40 shrink-0">' +
+            '</div>';
+    }
+
+    // Footer actions. Single mode drops Skip / Not-a-match (no queue); the
+    // accept button only shows when there is a stored candidate to accept —
+    // search-result rows carry their own pick action.
+    function footerHtml(song) {
+        return '<div class="flex items-center justify-between gap-3 p-5 pt-3 border-t border-fb-border/40 shrink-0">' +
             '<div class="flex items-center gap-3">' +
             (_single ? '' : '<button data-mr-reject class="text-sm text-fb-textDim hover:text-fb-text">Not a match</button>') +
             '<button data-mr-search-toggle class="text-sm text-fb-textDim hover:text-fb-text">Search instead…</button>' +
@@ -352,57 +354,252 @@
             (_single ? '' : '<button data-mr-skip class="text-sm text-fb-textDim hover:text-fb-text px-3 py-2">Skip</button>') +
             ((song.candidates || []).length ? '<button data-mr-accept class="bg-fb-primary hover:bg-fb-primaryHi text-white px-4 py-2 rounded-md text-sm">Use selected</button>' : '') +
             '</div></div>';
-
-        wireCurrent(panel, song);
     }
 
-    function wireCurrent(panel, song) {
+    function renderCurrent() {
+        const panel = document.getElementById('v3-match-panel');
+        if (!panel) return;
+        if (_single) { renderTabbed(); return; }   // popup: the tabbed shell
+        if (!_queue.length) { renderDone(); return; }
+        _idx = Math.min(_idx, _queue.length - 1);
+        const song = _queue[_idx];
+        if (song._sel == null) song._sel = 0;
+        panel.innerHTML = headerHtml() + reviewBodyHtml(song) + footerHtml(song);
         panel.querySelector('[data-mr-close]')?.addEventListener('click', closeModal);
         panel.querySelector('[data-mr-prev]')?.addEventListener('click', () => nav(-1));
         panel.querySelector('[data-mr-next]')?.addEventListener('click', () => nav(1));
         panel.querySelector('[data-mr-skip]')?.addEventListener('click', () => nav(1));
+        wireReviewBody(panel, song);
+    }
+
+    // Candidate / search / accept-reject wiring shared by the queue render and
+    // the popup's Match tab. Scoped to `root` so the tabbed shell can wire just
+    // its tab body — its close + tab chrome live in the header (wired once by
+    // renderTabbed), so wiring here must NOT touch close/prev/next/skip.
+    function wireReviewBody(root, song) {
         // Art failure → flag + re-render once so the "cover art" chip shows.
-        const img = panel.querySelector('[data-mr-art]');
+        const img = root.querySelector('[data-mr-art]');
         if (img) img.onerror = () => {
             img.style.visibility = 'hidden';
             if (!song._artMissing) { song._artMissing = true; renderCurrent(); }
         };
-        panel.querySelectorAll('[data-mr-cand]').forEach((btn) => {
+        root.querySelectorAll('[data-mr-cand]').forEach((btn) => {
             btn.addEventListener('click', () => {
                 song._sel = Number(btn.getAttribute('data-mr-cand'));
                 renderCurrent();
             });
         });
-        panel.querySelector('[data-mr-accept]')?.addEventListener('click', async () => {
+        root.querySelector('[data-mr-accept]')?.addEventListener('click', async () => {
             const cand = (song.candidates || [])[song._sel || 0];
             if (!cand) return;
             await post('/api/enrichment/review/' + enc(song.filename) + '/accept',
                 { recording_id: cand.recording_id });
             settle(song);
         });
-        panel.querySelector('[data-mr-reject]')?.addEventListener('click', async () => {
+        root.querySelector('[data-mr-reject]')?.addEventListener('click', async () => {
             await post('/api/enrichment/review/' + enc(song.filename) + '/reject');
             settle(song);
         });
-        const sp = panel.querySelector('[data-mr-search-panel]');
-        const input = panel.querySelector('[data-mr-search-input]');
-        panel.querySelector('[data-mr-search-toggle]')?.addEventListener('click', () => {
+        const sp = root.querySelector('[data-mr-search-panel]');
+        const input = root.querySelector('[data-mr-search-input]');
+        root.querySelector('[data-mr-search-toggle]')?.addEventListener('click', () => {
             sp?.classList.toggle('hidden');
             if (sp && !sp.classList.contains('hidden') && input && !input.value) {
                 input.value = [song.artist, song.title].filter(Boolean).join(' – ');
                 input.focus();
             }
         });
-        const go = () => runSearch(panel, song);
-        panel.querySelector('[data-mr-search-go]')?.addEventListener('click', go);
+        const go = () => runSearch(root, song);
+        root.querySelector('[data-mr-search-go]')?.addEventListener('click', go);
         input?.addEventListener('keydown', (e) => { if (e.key === 'Enter') { e.preventDefault(); go(); } });
-        panel.querySelector('[data-mr-identify]')?.addEventListener('click', () => runIdentify(panel, song));
+        // Identify-by-audio (AcoustID, #759) renders its hits into the same
+        // search-results area — scope to `root` (the tab body / panel), not the
+        // out-of-scope `panel` the pre-refactor #759 wiring referenced.
+        root.querySelector('[data-mr-identify]')?.addEventListener('click', () => runIdentify(root, song));
+    }
+
+    // ── Tabbed single-song popup (slice 4) ───────────────────────────────────
+    // Header + tab bar, then the active tab's body. The queue-review render
+    // above is untouched; this is only reached in _single mode.
+    function tabHeaderHtml() {
+        const tab = (id, label) =>
+            '<button data-mr-tab="' + id + '" role="tab" aria-selected="' + (_tab === id ? 'true' : 'false') + '" ' +
+            'class="px-3 py-2 text-sm -mb-px border-b-2 ' + (_tab === id
+                ? 'border-fb-primary text-fb-text'
+                : 'border-transparent text-fb-textDim hover:text-fb-text') + '">' + label + '</button>';
+        return '<div class="flex items-center justify-between gap-3 px-5 pt-4 shrink-0">' +
+            '<h3 class="text-lg font-semibold text-fb-text">Fix metadata</h3>' +
+            '<button data-mr-close class="text-fb-textDim hover:text-fb-text" aria-label="Close">✕</button></div>' +
+            '<div role="tablist" class="flex gap-1 px-4 border-b border-fb-border/40 shrink-0">' +
+            tab('details', 'Details') + tab('cover', 'Cover art') + tab('match', 'Match') + '</div>';
+    }
+
+    function renderTabbed() {
+        const panel = document.getElementById('v3-match-panel');
+        if (!panel) return;
+        const song = _queue[0];
+        if (!song) { closeModal(); return; }
+        panel.innerHTML = tabHeaderHtml() +
+            '<div data-mr-tabbody role="tabpanel" class="flex flex-col min-h-0 flex-1 overflow-hidden"></div>';
+        panel.querySelector('[data-mr-close]')?.addEventListener('click', closeModal);
+        panel.querySelectorAll('[data-mr-tab]').forEach((b) => b.addEventListener('click', () => {
+            const t = b.getAttribute('data-mr-tab');
+            if (t !== _tab) { _tab = t; renderTabbed(); }
+        }));
+        const body = panel.querySelector('[data-mr-tabbody]');
+        if (_tab === 'details') { renderDetailsTab(body, song); }
+        else if (_tab === 'cover') { renderCoverTab(body, song); }
+        else {
+            body.innerHTML = reviewBodyHtml(song) + footerHtml(song);
+            wireReviewBody(body, song);
+            if (!(song.candidates || []).length) body.querySelector('[data-mr-search-input]')?.focus();
+        }
+    }
+
+    // Details tab: type + lock the DISPLAYED fields. Values ride the reversible
+    // override store (GET/PUT /api/song/{fn}/overrides) — never the pack file.
+    // Each field sits on its pack value: editing above the pack makes it an
+    // override ("Yours"); a lock pins it so an auto-match can't recanonicalize
+    // it; revert (↺) drops back to the pack value.
+    const DETAIL_FIELDS = [['title', 'Title'], ['artist', 'Artist'], ['album', 'Album'], ['year', 'Year']];
+
+    async function renderDetailsTab(body, song) {
+        body.innerHTML = '<div class="p-5"><p class="text-sm text-fb-textDim">Loading…</p></div>';
+        let data = { overrides: {}, pack: {} };
+        try {
+            const r = await fetch('/api/song/' + enc(song.filename) + '/overrides');
+            if (r.ok) data = await r.json();
+        } catch (_) { /* offline — fall back to the empty baseline */ }
+        if (!_single || _tab !== 'details') return;   // tab/modal changed while fetching
+        const pack = data.pack || {};
+        const ov = data.overrides || {};
+        const st = {};
+        for (const [f] of DETAIL_FIELDS) {
+            const o = ov[f] || {};
+            st[f] = {
+                pack: pack[f] || '',
+                value: (o.value != null ? o.value : (pack[f] || '')),
+                locked: !!o.locked,
+            };
+        }
+        song._detailsState = st;
+        paintDetails(body, song);
+    }
+
+    function paintDetails(body, song) {
+        const st = song._detailsState;
+        const row = ([f, label]) => {
+            const s = st[f];
+            const isYours = !!(String(s.value).trim() && String(s.value).trim() !== String(s.pack).trim());
+            return '<div class="space-y-1">' +
+                '<div class="flex items-center justify-between">' +
+                '<label class="text-xs font-semibold uppercase tracking-wider text-fb-textDim">' + esc(label) + '</label>' +
+                (isYours
+                    ? '<span class="text-[0.625rem] px-1.5 py-0.5 rounded bg-fb-primary/15 text-fb-primary">Yours</span>'
+                    : '<span class="text-[0.625rem] px-1.5 py-0.5 rounded bg-fb-card text-fb-textDim">Pack</span>') +
+                '</div>' +
+                '<div class="flex items-center gap-2">' +
+                '<input data-df-input="' + f + '" type="text" value="' + esc(s.value) + '" ' +
+                'class="flex-1 bg-gray-800/50 border border-gray-700 rounded-md px-2 py-1.5 text-sm text-fb-text outline-none focus:border-fb-primary" ' +
+                'placeholder="' + esc(s.pack || label) + '">' +
+                '<button data-df-lock="' + f + '" type="button" aria-pressed="' + (s.locked ? 'true' : 'false') + '" ' +
+                'title="' + (s.locked ? 'Locked — auto-match won’t change this field' : 'Lock this field against auto-match') + '" ' +
+                'class="px-2 py-1.5 rounded-md border ' + (s.locked ? 'border-fb-primary text-fb-primary bg-fb-primary/10' : 'border-fb-border/50 text-fb-textDim hover:text-fb-text') + '">' +
+                (s.locked ? '🔒' : '🔓') + '</button>' +
+                '<button data-df-revert="' + f + '" type="button" title="Revert to the pack value" ' +
+                'class="px-2 py-1.5 rounded-md border border-fb-border/50 text-fb-textDim hover:text-fb-text">↺</button>' +
+                '</div></div>';
+        };
+        body.innerHTML =
+            '<div class="p-5 space-y-4 overflow-y-auto v3-scroll min-h-0">' +
+            '<div class="flex items-start gap-3">' +
+            '<img src="' + esc(artUrl(song)) + '" alt="" onerror="this.style.visibility=\'hidden\'" class="w-14 h-14 rounded-lg object-cover bg-fb-card shrink-0">' +
+            '<p class="text-xs text-fb-textDim pt-1">Your edits show in the library right away and are never written to the song files. Use <span class="text-fb-text">Match</span> to pull info from MusicBrainz, or lock a field to keep it.</p>' +
+            '</div>' +
+            DETAIL_FIELDS.map(row).join('') +
+            '<p data-df-status class="text-xs h-4"></p>' +
+            '</div>' +
+            '<div class="flex items-center justify-end gap-2 p-5 pt-3 border-t border-fb-border/40 shrink-0">' +
+            '<button data-df-save class="bg-fb-primary hover:bg-fb-primaryHi text-white px-4 py-2 rounded-md text-sm">Save</button>' +
+            '</div>';
+        body.querySelectorAll('[data-df-input]').forEach((inp) => {
+            inp.addEventListener('input', () => { st[inp.getAttribute('data-df-input')].value = inp.value; });
+        });
+        body.querySelectorAll('[data-df-lock]').forEach((b) => {
+            b.addEventListener('click', () => { const f = b.getAttribute('data-df-lock'); st[f].locked = !st[f].locked; paintDetails(body, song); });
+        });
+        body.querySelectorAll('[data-df-revert]').forEach((b) => {
+            b.addEventListener('click', () => { const f = b.getAttribute('data-df-revert'); st[f].value = st[f].pack || ''; st[f].locked = false; paintDetails(body, song); });
+        });
+        body.querySelector('[data-df-save]')?.addEventListener('click', () => saveDetails(body, song));
+    }
+
+    async function saveDetails(body, song) {
+        const st = song._detailsState;
+        const overrides = {};
+        for (const [f] of DETAIL_FIELDS) {
+            const v = String(st[f].value || '').trim();
+            const p = String(st[f].pack || '').trim();
+            // Only store a value that differs from the pack; equal / blank clears
+            // the override (the server drops a value-less, unlocked row).
+            overrides[f] = { value: (v && v !== p) ? v : null, locked: !!st[f].locked };
+        }
+        const status = body.querySelector('[data-df-status]');
+        const saveBtn = body.querySelector('[data-df-save]');
+        if (saveBtn) saveBtn.disabled = true;
+        let ok = false;
+        try {
+            const r = await fetch('/api/song/' + enc(song.filename) + '/overrides', {
+                method: 'PUT',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify({ overrides }),
+            });
+            ok = r.ok;
+        } catch (_) { ok = false; }
+        if (saveBtn) saveBtn.disabled = false;
+        if (!ok) {
+            if (status) { status.className = 'text-xs h-4 text-fb-accent'; status.textContent = 'Could not save — try again.'; }
+            return;
+        }
+        // Reflect the new effective values on the in-memory song (keeps the Match
+        // tab header consistent) and repaint the library so the card shows them —
+        // the grid reloads on library:changed (slice 3 overlay does the rest).
+        for (const [f] of DETAIL_FIELDS) {
+            const v = String(st[f].value || '').trim(); const p = String(st[f].pack || '').trim();
+            song[f] = (v && v !== p) ? v : (st[f].pack || '');
+        }
+        try { window.feedBack?.emit('library:changed', { reason: 'override' }); } catch (_) { }
+        if (status) { status.className = 'text-xs h-4 text-fb-good'; status.textContent = 'Saved.'; }
+    }
+
+    // Cover-art tab: the current art + a button that hands off to the shared
+    // cover picker (image-picker.js, its own z-[200] modal). A pick there
+    // refreshes every <img> for this song's art — including this thumbnail — so
+    // there's nothing to wire back.
+    function renderCoverTab(body, song) {
+        body.innerHTML =
+            '<div class="p-5 space-y-4 overflow-y-auto v3-scroll min-h-0 flex flex-col items-center text-center">' +
+            '<img src="' + esc(artUrl(song)) + '" alt="" onerror="this.style.visibility=\'hidden\'" class="w-40 h-40 rounded-xl object-cover bg-fb-card">' +
+            '<p class="text-sm text-fb-textDim max-w-sm">Choose from the Cover Art Archive, paste an image link, or upload your own. Your song files are never changed.</p>' +
+            '<button data-cover-open class="bg-fb-primary hover:bg-fb-primaryHi text-white px-4 py-2 rounded-md text-sm">Choose cover art…</button>' +
+            '</div>';
+        body.querySelector('[data-cover-open]')?.addEventListener('click', () => {
+            if (window.__fbOpenImagePicker) {
+                window.__fbOpenImagePicker({ filename: song.filename, title: song.title || song.filename });
+            }
+        });
     }
 
     // Silent-on-success: the chart just leaves the queue and the next one
     // renders; the last one renders the done state. No toasts, no sounds.
     function settle(song) {
-        if (_single) { closeModal(); return; }   // Fix-match: done means done
+        if (_single) {
+            // Popup Match tab: a pinned identity can change the art/canon — nudge
+            // the grid to repaint (silent otherwise, like the queue flow).
+            try { window.feedBack?.emit('library:changed', { reason: 'match' }); } catch (_) { }
+            closeModal();
+            return;
+        }
         const i = _queue.indexOf(song);
         if (i >= 0) _queue.splice(i, 1);
         if (_idx >= _queue.length) _idx = Math.max(0, _queue.length - 1);
@@ -464,25 +661,31 @@
             status = r.status;
             body = await r.json().catch(() => null);
         } catch (_) { /* falls through to the no-results line */ }
-        // Honest states — never a fake hit.
+        // Honest states — never a fake hit. Each says plainly WHICH outcome this
+        // is, so an empty result reads as "it ran, found nothing" (not "broken")
+        // and points at the manual fallback when there's nothing to pick.
+        const note = (html) => { out.innerHTML = '<p class="text-xs text-fb-textDim leading-relaxed">' + html + '</p>'; };
+        const manual = _single
+            ? ' Try <b class="text-fb-text">Search</b>, or just set the album in <b class="text-fb-text">Details</b> and the cover in <b class="text-fb-text">Cover art</b> by hand.'
+            : ' Try <b class="text-fb-text">Search instead</b>.';
         if (status === 412 || (body && body.needs_setup)) {
-            out.innerHTML = '<p class="text-xs text-fb-textDim">Audio identification is off — enable AcoustID and add a free API key to use it.</p>';
+            note('Audio identification is <b class="text-fb-text">off</b>. Turn it on and add a free AcoustID API key in Settings → Library to use it.');
             return;
         }
         if (status === 404) {
-            out.innerHTML = "<p class=\"text-xs text-fb-textDim\">No full-mix audio to fingerprint for this song.</p>";
+            note('This pack has <b class="text-fb-text">no full mix to fingerprint</b> (it\'s chart-only or stems-only).' + manual);
             return;
         }
         if (status === 503) {
-            out.innerHTML = '<p class="text-xs text-fb-textDim">Audio identification is unavailable right now — try again.</p>';
+            note('Could not run the fingerprint right now — the audio tool or network is unavailable. Try again in a moment.');
             return;
         }
         const cands = (body && body.candidates) || [];
         if (!cands.length) {
-            out.innerHTML = '<p class="text-xs text-fb-textDim">No fingerprint match — try text search.</p>';
+            note('<span class="text-fb-good">✓ Fingerprinted the audio</span> — but AcoustID has <b class="text-fb-text">no match</b> for this exact recording (common for obscure or import tracks).' + manual);
             return;
         }
-        out.innerHTML = '<div class="text-xs font-semibold uppercase tracking-wider text-fb-textDim mb-1">Fingerprint matches (AcoustID)</div>' +
+        out.innerHTML = '<div class="text-xs font-semibold uppercase tracking-wider text-fb-good mb-1">✓ Fingerprint matches (AcoustID)</div>' +
             cands.map((c, i) => candRowHtml(song, c, i, false)).join('');
         out.querySelectorAll('[data-mr-cand]').forEach((btn) => {
             btn.addEventListener('click', async () => {

static/v3/songs.js

@@ -498,21 +498,32 @@
     // to before (keeps the windowed grid's height math untouched). Honest state
     // transitions, NOT a fake per-song %: a match is binary (design §11).
     const _metaTile = {};   // fn -> 'queued' | 'working' | 'done' | 'nochange'
-    function enrichBadge(fn) {
-        const st = _metaTile[fn];
+    // Cards whose enrichment landed 'failed' (from the grid payload) — tracked so
+    // the PERSISTENT "no match" badge survives a batch tile clearing (a
+    // _patchCardEnrich with no flag falls back to this instead of wiping it).
+    // Populated as cards render (enrichBadge is called per card with the flag).
+    const _unmatched = new Set();
+    function enrichBadge(fn, unmatched) {
+        if (unmatched !== undefined) { if (unmatched) _unmatched.add(fn); else _unmatched.delete(fn); }
+        // A live batch tile wins over the resting no-match marker (they never
+        // coexist — the batch clears its tiles when it finishes).
+        const st = _metaTile[fn] || (_unmatched.has(fn) ? 'nomatch' : null);
         if (!st) return '';
         const M = {
-            queued:   ['bg-black/60 text-fb-textDim', '• Queued'],
-            working:  ['bg-fb-primary text-white', '⟳ Matching…'],
-            done:     ['bg-fb-good/90 text-black', '✓ Updated'],
-            nochange: ['bg-black/60 text-fb-textDim', '— No match'],
+            queued:   ['bg-black/60 text-fb-textDim', '• Queued', ''],
+            working:  ['bg-fb-primary text-white', '⟳ Matching…', ''],
+            done:     ['bg-fb-good/90 text-black', '✓ Updated', ''],
+            nochange: ['bg-black/60 text-fb-textDim', '— No match', ''],
+            // Resting indicator: subtle, so a mostly-unmatched library isn't a
+            // wall of loud badges; points at the manual fix.
+            nomatch:  ['bg-black/60 text-fb-textDim', 'No match', 'No metadata match found — right-click to fix it by hand'],
         };
         const conf = M[st] || M.queued;
         // top-10 clears the tuning chip (top-2) in both normal and select mode;
         // z-20 sits it above the art. Non-interactive so it never eats a click.
         return '<span class="v3-meta-tile absolute top-10 left-2 z-20 ' + conf[0] +
-            ' text-[0.5625rem] font-bold px-1.5 py-0.5 rounded-sm leading-tight pointer-events-none">' +
-            conf[1] + '</span>';
+            ' text-[0.5625rem] font-bold px-1.5 py-0.5 rounded-sm leading-tight pointer-events-none"' +
+            (conf[2] ? ' title="' + conf[2] + '"' : '') + '>' + conf[1] + '</span>';
     }
 
     // After a song is scored, the badge for that card is stale until the next
@@ -870,7 +881,7 @@
         return '<div class="group relative" data-fn="' + esc(key) + '" data-letter="' + esc(songBucket(song)) + '" data-library-song="' + esc(songId(song)) + '" data-library-provider="' + esc(state.provider) + '">' +
             '<div class="relative aspect-square rounded-lg overflow-hidden bg-fb-card cursor-pointer' + selRing + '" data-v3-play>' +
             '<img src="' + esc(artUrl(shown)) + '" alt="" loading="lazy" decoding="async" class="w-full h-full object-cover transition-transform duration-300 group-hover:scale-105" onerror="this.style.visibility=\'hidden\'">' +
-            tuning + checkbox + accuracyBadge(key) + fmtBadge(shown) + personalBadges(song) + enrichBadge(key) + overlay +
+            tuning + checkbox + accuracyBadge(key) + fmtBadge(shown) + personalBadges(song) + enrichBadge(key, song.unmatched) + overlay +
             '<div class="absolute top-2 right-2 flex gap-1 opacity-0 group-hover:opacity-100 transition">' +
             inlineBtns +
             '<button data-fav data-fav-idle="text-white" title="Favorite" aria-label="Favorite" aria-pressed="' + (fav ? 'true' : 'false') + '" class="w-7 h-7 rounded-full bg-black/50 hover:bg-black/70 flex items-center justify-center text-sm ' + (fav ? 'text-fb-accent' : 'text-white') + '">' + (fav ? '♥' : '♡') + '</button>' +
@@ -938,7 +949,7 @@
             // address the local DB / filesystem). Both openers (⋮ and
             // right-click) share this list, so parity is structural.
             ...(state.provider === 'local' && song.filename ? [
-                { id: '__fixmatch', label: 'Fix match…' },
+                { id: '__fixmatch', label: 'Fix metadata…' },
                 { id: '__cover', label: 'Change cover…' },
                 { id: '__refreshmeta', label: 'Refresh metadata' },
                 { id: '__getinfo', label: 'Get info…' },
@@ -3489,6 +3500,7 @@
             '<button id="v3-songs-select" class="' + ctrl + (state.selectMode ? ' bg-fb-primary text-white' : '') + '">Select</button>' +
             '<button id="v3-songs-refresh" title="Refresh library (scan for new songs)" class="' + ctrl + '">⟳ Refresh</button>' +
             '<button id="v3-songs-refresh-meta" title="Refresh metadata for the songs shown (re-match titles, artwork &amp; more)" class="' + ctrl + '">🏷 Metadata</button>' +
+            '<button id="v3-songs-unmatched" title="Show only songs with no metadata match" class="' + ctrl + ((state.filters.match || []).includes('unmatched') ? ' bg-fb-primary text-white' : '') + '">Unmatched</button>' +
             '<button id="v3-songs-upload" class="' + ctrl + '">Upload</button>' +
             '</div></div></div>' +
             // Practice-aware library home: a repertoire progress meter + a
@@ -3559,6 +3571,7 @@
         // Refresh Metadata: local-only, so hide it for remote providers. The
         // button doubles as its own Stop while a pass runs (see onMetaBtnClick).
         byId('v3-songs-refresh-meta')?.addEventListener('click', onMetaBtnClick);
+        byId('v3-songs-unmatched')?.addEventListener('click', toggleUnmatchedFilter);
         _updateMetaBtnVisibility();
         // Reflect a scan already in progress (Settings button or a background
         // pass) on the Refresh button, so its state isn't just tied to clicks here.
@@ -3808,8 +3821,24 @@
     let _metaRunning = false;
 
     function _updateMetaBtnVisibility() {
+        const local = state.provider === 'local';   // enrichment + its filter are local-only
         const btn = document.getElementById('v3-songs-refresh-meta');
-        if (btn) btn.style.display = (state.provider === 'local') ? '' : 'none';
+        if (btn) btn.style.display = local ? '' : 'none';
+        const um = document.getElementById('v3-songs-unmatched');
+        if (um) um.style.display = local ? '' : 'none';
+    }
+
+    // Quick "Show unmatched" — the same filter as the drawer's Match → Unmatched,
+    // one click from the toolbar so the no-match pile is reachable right after a
+    // batch. Toggles the button + re-queries the grid.
+    function toggleUnmatchedFilter() {
+        const m = state.filters.match || (state.filters.match = []);
+        const i = m.indexOf('unmatched');
+        const on = i < 0;
+        if (on) m.push('unmatched'); else m.splice(i, 1);
+        const btn = document.getElementById('v3-songs-unmatched');
+        if (btn) { btn.classList.toggle('bg-fb-primary', on); btn.classList.toggle('text-white', on); }
+        reload();
     }
 
     // The local filenames the grid is currently SHOWING (data-fn is the local
@@ -3838,6 +3867,18 @@
     function _clearMetaTiles() {
         Object.keys(_metaTile).forEach((fn) => { delete _metaTile[fn]; });
         document.querySelectorAll('.v3-meta-tile').forEach((el) => el.remove());
+        // The persistent "No match" badge derives from _unmatched (not _metaTile),
+        // yet shares the .v3-meta-tile class — so the blanket remove above strips it.
+        // Repaint the resting indicator on any rendered card so a metadata rescan's
+        // tile-clear doesn't silently drop it until the next scroll/re-render.
+        _unmatched.forEach((fn) => {
+            const sel = (window.CSS && CSS.escape) ? CSS.escape(fn) : fn;
+            document.querySelectorAll('[data-fn="' + sel + '"] [data-v3-play]').forEach((play) => {
+                if (play.querySelector('.v3-meta-tile')) return;
+                const html = enrichBadge(fn);
+                if (html) play.insertAdjacentHTML('beforeend', html);
+            });
+        });
     }
 
 

tests/test_field_overrides.py

@@ -0,0 +1,232 @@
+"""Tests for the per-field metadata override + lock store (Fix-metadata popup).
+
+A reversible DISPLAY overlay, never written to the pack: filename-keyed, so it
+survives a rescan (never purged by delete_missing) and is dropped only with the
+song (delete_song). Locks pin a field against a later auto-match.
+"""
+
+import importlib
+import sys
+
+import pytest
+from fastapi.testclient import TestClient
+
+
+@pytest.fixture()
+def server(tmp_path, monkeypatch, isolate_logging):
+    monkeypatch.setenv("CONFIG_DIR", str(tmp_path))
+    monkeypatch.setenv("FEEDBACK_SKIP_STARTUP_TASKS", "1")
+    sys.modules.pop("server", None)
+    srv = importlib.import_module("server")
+    try:
+        yield srv
+    finally:
+        conn = getattr(getattr(srv, "meta_db", None), "conn", None)
+        if conn is not None:
+            getattr(sys.modules.get("server"), "_join_background_db_threads", lambda: None)()
+            conn.close()
+        sys.modules.pop("server", None)
+
+
+@pytest.fixture()
+def client(server):
+    return TestClient(server.app)
+
+
+def _put(server, fn, **meta):
+    base = {"title": "Song", "artist": "Artist", "album": "", "duration": 100,
+            "arrangements": [{"name": "Lead", "index": 0}]}
+    base.update(meta)
+    server.meta_db.put(fn, 0, 0, base)
+
+
+# ── store semantics ───────────────────────────────────────────────────────────
+
+def test_set_get_and_partial_upsert(server):
+    db = server.meta_db
+    assert db.get_song_overrides("a.archive") == {}
+    db.set_song_override("a.archive", "artist", value="AC/DC")
+    assert db.get_song_overrides("a.archive") == {"artist": {"value": "AC/DC", "locked": False}}
+    # partial: lock without touching the value
+    db.set_song_override("a.archive", "artist", locked=True)
+    assert db.get_song_overrides("a.archive")["artist"] == {"value": "AC/DC", "locked": True}
+    # partial: change the value, keep the lock
+    db.set_song_override("a.archive", "artist", value="AC/DC (fixed)")
+    assert db.get_song_overrides("a.archive")["artist"] == {"value": "AC/DC (fixed)", "locked": True}
+
+
+def test_lock_only_row_persists_without_a_value(server):
+    db = server.meta_db
+    db.set_song_override("a.archive", "year", locked=True)
+    # a pure lock (no override value) is a valid, kept row
+    assert db.get_song_overrides("a.archive") == {"year": {"value": None, "locked": True}}
+
+
+def test_empty_and_unlocked_drops_the_row(server):
+    db = server.meta_db
+    db.set_song_override("a.archive", "album", value="X", locked=True)
+    db.set_song_override("a.archive", "album", value="", locked=False)
+    assert db.get_song_overrides("a.archive") == {}          # no empty shell
+
+
+def test_clear_one_field_leaves_others(server):
+    db = server.meta_db
+    db.set_song_override("a.archive", "title", value="T")
+    db.set_song_override("a.archive", "artist", value="A")
+    db.clear_song_override("a.archive", "title")
+    assert set(db.get_song_overrides("a.archive")) == {"artist"}
+
+
+# ── lifecycle: rescan survival vs explicit delete ─────────────────────────────
+
+def test_rescan_never_purges_overrides_delete_does(server):
+    _put(server, "a.archive")
+    server.meta_db.set_song_override("a.archive", "artist", value="AC/DC", locked=True)
+    server.meta_db.delete_missing(set())                     # file vanished from a scan
+    assert server.meta_db.get_song_overrides("a.archive")["artist"]["value"] == "AC/DC"
+    server.meta_db.purge_song_user_data("a.archive")         # the delete_song purge
+    assert server.meta_db.get_song_overrides("a.archive") == {}
+
+
+def test_overrides_map_batches(server):
+    db = server.meta_db
+    db.set_song_override("a.archive", "artist", value="A")
+    db.set_song_override("b.archive", "title", value="B", locked=True)
+    m = db.overrides_map(["a.archive", "b.archive", "missing.archive"])
+    assert m["a.archive"]["artist"]["value"] == "A"
+    assert m["b.archive"]["title"] == {"value": "B", "locked": True}
+    assert "missing.archive" not in m
+    assert db.overrides_map([]) == {}
+
+
+# ── API ───────────────────────────────────────────────────────────────────────
+
+def test_api_put_get_and_clear(client, server):
+    _put(server, "a.archive")
+    r = client.put("/api/song/a.archive/overrides",
+                   json={"overrides": {"artist": {"value": "AC/DC", "locked": True},
+                                       "year": {"value": "1979"}}})
+    assert r.status_code == 200
+    ov = r.json()["overrides"]
+    assert ov["artist"] == {"value": "AC/DC", "locked": True}
+    assert ov["year"] == {"value": "1979", "locked": False}
+    assert client.get("/api/song/a.archive/overrides").json()["overrides"]["artist"]["value"] == "AC/DC"
+    # clear via PUT (value null + unlocked) — DELETE is shadowed by /api/song/{path}
+    client.put("/api/song/a.archive/overrides",
+               json={"overrides": {"artist": {"value": None, "locked": False}}})
+    assert "artist" not in client.get("/api/song/a.archive/overrides").json()["overrides"]
+
+
+def test_api_get_returns_pack_values(client, server):
+    _put(server, "a.archive", title="Pack Title", artist="Pack Artist",
+         album="Pack Album", year="1988")
+    server.meta_db.set_song_override("a.archive", "title", value="Fixed Title")
+    body = client.get("/api/song/a.archive/overrides").json()
+    # the override rides "overrides"; the pack baseline rides "pack" (all 5 fields)
+    assert body["overrides"]["title"]["value"] == "Fixed Title"
+    assert body["pack"] == {"title": "Pack Title", "artist": "Pack Artist",
+                            "album": "Pack Album", "year": "1988", "genre": ""}
+    # a song with no row still gets an all-empty pack (popup always has values)
+    assert client.get("/api/song/ghost.archive/overrides").json()["pack"]["title"] == ""
+
+
+def test_api_rejects_unknown_field(client, server):
+    _put(server, "a.archive")
+    r = client.put("/api/song/a.archive/overrides",
+                   json={"overrides": {"tuning": {"value": "Drop D"}}})
+    assert r.status_code == 400
+    assert "unknown field" in r.json()["error"]
+
+
+# ── lock enforcement (slice 2) ────────────────────────────────────────────────
+
+def test_locked_fields_reader(server):
+    db = server.meta_db
+    db.set_song_override("a.archive", "artist", value="X", locked=True)
+    db.set_song_override("a.archive", "title", value="Y")            # override, not locked
+    db.set_song_override("a.archive", "year", locked=True)           # lock only
+    assert db.locked_fields("a.archive") == {"artist", "year"}
+
+
+def test_compose_lock_filter_strips_locked_cand_keys(server):
+    f = server._compose_lock_filter(None, {"artist", "year"})
+    cand = {"recording_id": "r", "artist": "X", "artist_sort": "X", "title": "T",
+            "year": "1990", "album": "A", "genres": ["rock"]}
+    out = f(cand)
+    # locked display keys stripped (artist maps to artist + artist_sort)…
+    assert not ({"artist", "artist_sort", "year"} & set(out))
+    # …identity + unlocked display fields survive
+    assert out["recording_id"] == "r" and out["title"] == "T" and out["album"] == "A"
+    # no locks → base filter returned unchanged (zero-copy common path)
+    assert server._compose_lock_filter(None, set()) is None
+
+
+# ── display overlay in the grid (slice 3) ─────────────────────────────────────
+# "Grid shows only overrides": the effective cell is the user's override else the
+# pack value. Display-only + keyset-safe — the seek stays on the raw column.
+
+def _grid(server, **kw):
+    songs, _ = server.meta_db.query_page(**kw)
+    return {s["filename"]: s for s in songs}
+
+
+def test_grid_shows_override_value_over_pack(server):
+    _put(server, "a.archive", title="Wrong Title", artist="Wrong",
+         album="Pack Album", year="1999")
+    server.meta_db.set_song_override("a.archive", "title", value="Right Title")
+    server.meta_db.set_song_override("a.archive", "artist", value="Right Artist")
+    server.meta_db.set_song_override("a.archive", "year", value="1979")
+    s = _grid(server)["a.archive"]
+    assert s["title"] == "Right Title"
+    assert s["artist"] == "Right Artist"
+    assert s["year"] == "1979"
+    assert s["album"] == "Pack Album"            # no override → pack value shows
+    assert s["_sort_title"] == "Wrong Title"     # raw title stashed for the cursor
+
+
+def test_grid_ignores_lock_only_override(server):
+    _put(server, "a.archive", title="Pack Title")
+    server.meta_db.set_song_override("a.archive", "title", locked=True)   # lock, no value
+    s = _grid(server)["a.archive"]
+    assert s["title"] == "Pack Title"            # a lock without a value never retitles
+    assert "_sort_title" not in s                # …and stashes nothing
+
+
+def test_override_beats_alias_relabel_for_artist(server):
+    _put(server, "a.archive", artist="ACDC")
+    server.meta_db.set_artist_alias("ACDC", "AC/DC")                 # P4 alias
+    assert _grid(server)["a.archive"]["artist"] == "AC/DC"          # alias applies alone
+    server.meta_db.set_song_override("a.archive", "artist", value="AC-DC (mine)")
+    assert _grid(server)["a.archive"]["artist"] == "AC-DC (mine)"   # override wins over alias
+
+
+def test_route_strips_private_sort_title(client, server):
+    _put(server, "a.archive", title="Pack")
+    server.meta_db.set_song_override("a.archive", "title", value="Shown")
+    row = next(s for s in client.get("/api/library?sort=title").json()["songs"]
+               if s["filename"] == "a.archive")
+    assert row["title"] == "Shown"
+    assert "_sort_title" not in row              # private keyset stash never leaks to the client
+
+
+def test_title_keyset_paging_is_complete_with_overrides(client, server):
+    # Raw titles A/B/C → title-sort order is A, B, C on the RAW column.
+    _put(server, "b.archive", title="B")
+    _put(server, "a.archive", title="A")
+    _put(server, "c.archive", title="C")
+    # Overrides that would reshuffle the order IF the cursor wrongly used the
+    # displayed value — the seek must stay on the raw title, so paging still
+    # covers every row exactly once (no skip/dupe).
+    server.meta_db.set_song_override("a.archive", "title", value="ZZZ")
+    server.meta_db.set_song_override("c.archive", "title", value="AAA")
+    seen, cursor = [], None
+    for _ in range(10):
+        url = "/api/library?sort=title&size=1" + (f"&after={cursor}" if cursor else "")
+        data = client.get(url).json()
+        if not data["songs"]:
+            break
+        seen.append(data["songs"][0]["filename"])
+        cursor = data["next_cursor"]
+        if not cursor:
+            break
+    assert sorted(seen) == ["a.archive", "b.archive", "c.archive"]   # each exactly once

tests/test_gap_fill.py

@@ -110,6 +110,19 @@ def test_preview_excludes_author_set_keys(server, client):
     assert {"genres", "mbid", "isrc"} <= got
 
 
+def test_preview_excludes_locked_fields(server, client):
+    """A field LOCKED in the Fix-metadata popup is never gap-filled — writing
+    the matched value would be exactly the clobber the lock prevents — even
+    though the match has a value and the manifest lacks it."""
+    make_dir_sloppak(server, "a.sloppak")
+    seed_match(server, "a.sloppak")
+    server.meta_db.set_song_override("a.sloppak", "album", locked=True)
+    server.meta_db.set_song_override("a.sloppak", "year", locked=True)
+    got = {m["key"] for m in client.get("/api/song/a.sloppak/gap-fill").json()["missing"]}
+    assert "album" not in got and "year" not in got
+    assert {"genres", "mbid", "isrc"} <= got        # unlocked keys still offered
+
+
 def test_preview_excludes_present_but_empty_keys(server, client):
     """Gap-fill is append-only, so a present-but-empty value (album: '',
     year: 0) is NOT a gap the writer can fill — appending would duplicate the

tests/test_gp_autosync_warp.py

@@ -0,0 +1,284 @@
+"""Tests for the librosa-free piecewise time-warp helpers in lib/gp_autosync.py
+(bar_start_times / build_warp_anchors / warp_time / warp_song_times /
+gp_has_expandable_repeats) plus refine_sync's pure fallbacks.
+
+Fixture-free, matching tests/test_gp_audio_sync.py: every test drives a pure
+helper with hand-built inputs (in-memory GPIF zips, synthetic sync points,
+hand-rolled Song objects). The librosa-backed sweep inside refine_sync needs
+real audio and is covered by manual validation in the PR.
+"""
+
+import io
+import zipfile
+import xml.etree.ElementTree as ET
+
+import pytest
+
+import gp_autosync as ga
+from gp8_audio_sync import GpSyncData, SyncPoint
+from song import (
+    Anchor,
+    Arrangement,
+    Beat,
+    Chord,
+    HandShape,
+    Note,
+    Phrase,
+    PhraseLevel,
+    Section,
+    Song,
+)
+
+
+# ── helpers ───────────────────────────────────────────────────────────────────
+
+def _gpif_zip(gpif_xml: str) -> bytes:
+    """Build an in-memory .gp container holding the given score.gpif."""
+    buf = io.BytesIO()
+    with zipfile.ZipFile(buf, "w") as zf:
+        zf.writestr("Content/score.gpif", gpif_xml)
+    return buf.getvalue()
+
+
+def _gpif(tempo_autos: list[tuple[int, float]], bar_sigs: list[str]) -> str:
+    autos = "".join(
+        f"<Automation><Type>Tempo</Type><Bar>{bar}</Bar>"
+        f"<Value>{bpm} 2</Value></Automation>"
+        for bar, bpm in tempo_autos
+    )
+    bars = "".join(f"<MasterBar><Time>{sig}</Time></MasterBar>" for sig in bar_sigs)
+    return (
+        "<GPIF><MasterTrack><Automations>"
+        f"{autos}</Automations></MasterTrack>"
+        f"<MasterBars>{bars}</MasterBars></GPIF>"
+    )
+
+
+def _sp(bar, t, mod=120.0, orig=120.0):
+    return SyncPoint(bar=bar, time_secs=t, modified_tempo=mod, original_tempo=orig)
+
+
+# ── bar_start_times ───────────────────────────────────────────────────────────
+
+def test_bar_start_times_constant_tempo(tmp_path):
+    # 120 BPM, 4/4 → every bar is exactly 2s
+    gp = tmp_path / "song.gp"
+    gp.write_bytes(_gpif_zip(_gpif([(0, 120.0)], ["4/4"] * 4)))
+    assert ga.bar_start_times(str(gp)) == pytest.approx([0.0, 2.0, 4.0, 6.0])
+
+
+def test_bar_start_times_tempo_change_and_meter(tmp_path):
+    # Bar 0-1 at 120 (4/4 → 2s each), bar 2 switches to 60 in 3/4 (3s)
+    gp = tmp_path / "song.gp"
+    gp.write_bytes(
+        _gpif_zip(_gpif([(0, 120.0), (2, 60.0)], ["4/4", "4/4", "3/4", "3/4"]))
+    )
+    assert ga.bar_start_times(str(gp)) == pytest.approx([0.0, 2.0, 4.0, 7.0])
+
+
+# ── build_warp_anchors ────────────────────────────────────────────────────────
+
+def test_build_warp_anchors_maps_bars_to_score_time():
+    bar_starts = [0.0, 2.0, 4.0, 6.0]
+    points = [_sp(0, 1.0), _sp(2, 5.4)]
+    assert ga.build_warp_anchors(points, bar_starts) == [(0.0, 1.0), (4.0, 5.4)]
+
+
+def test_build_warp_anchors_drops_nonmonotonic_and_out_of_range():
+    bar_starts = [0.0, 2.0, 4.0, 6.0]
+    points = [
+        _sp(0, 1.0),
+        _sp(1, 0.5),   # audio time goes backwards — dropped
+        _sp(2, 5.4),
+        _sp(99, 9.9),  # bar out of range — dropped
+    ]
+    assert ga.build_warp_anchors(points, bar_starts) == [(0.0, 1.0), (4.0, 5.4)]
+
+
+def test_build_warp_anchors_drops_implausible_slopes():
+    # 2s score bars. A DTW fold (or a run of monotonicity-clamped refine
+    # points) can produce a near-flat audio segment — slope far below the
+    # 0.2x plausibility floor — which would crush every bar in the span.
+    bar_starts = [float(2 * b) for b in range(11)]
+    points = [
+        _sp(0, 1.0),
+        _sp(4, 9.0),    # slope 1.0 — kept
+        _sp(8, 9.1),    # slope 0.0125 over 8s of score — dropped
+        _sp(10, 21.0),  # slope 1.0 vs the last KEPT anchor — kept
+    ]
+    assert ga.build_warp_anchors(points, bar_starts) == [
+        (0.0, 1.0), (8.0, 9.0), (20.0, 21.0)
+    ]
+
+
+def test_build_warp_anchors_requires_two_points():
+    assert ga.build_warp_anchors([_sp(0, 1.0)], [0.0, 2.0]) == []
+    assert ga.build_warp_anchors([], [0.0, 2.0]) == []
+
+
+# ── warp_time ─────────────────────────────────────────────────────────────────
+
+def test_warp_time_interpolates_between_anchors():
+    anchors = [(0.0, 1.0), (10.0, 21.0)]  # slope 2, offset 1
+    assert ga.warp_time(0.0, anchors) == pytest.approx(1.0)
+    assert ga.warp_time(5.0, anchors) == pytest.approx(11.0)
+    assert ga.warp_time(10.0, anchors) == pytest.approx(21.0)
+
+
+def test_warp_time_piecewise_segments():
+    # First half plays at authored speed, second half at half speed
+    anchors = [(0.0, 0.0), (10.0, 10.0), (20.0, 30.0)]
+    assert ga.warp_time(5.0, anchors) == pytest.approx(5.0)
+    assert ga.warp_time(15.0, anchors) == pytest.approx(20.0)
+
+
+def test_warp_time_extrapolates_with_edge_slopes():
+    anchors = [(10.0, 20.0), (20.0, 40.0)]  # slope 2
+    assert ga.warp_time(5.0, anchors) == pytest.approx(10.0)   # before first
+    assert ga.warp_time(25.0, anchors) == pytest.approx(50.0)  # after last
+
+
+def test_warp_time_preserves_order():
+    anchors = [(0.0, 0.5), (4.0, 4.1), (8.0, 9.3), (12.0, 12.9)]
+    times = [i * 0.37 for i in range(40)]
+    warped = [ga.warp_time(t, anchors) for t in times]
+    assert warped == sorted(warped)
+
+
+# ── warp_song_times ───────────────────────────────────────────────────────────
+
+def _shifted_double(t):
+    return 2.0 * t + 1.0
+
+
+def test_warp_song_times_covers_all_time_fields():
+    song = Song(
+        song_length=100.0,
+        beats=[Beat(time=0.0, measure=1), Beat(time=1.0, measure=-1)],
+        sections=[Section(name="verse", number=1, start_time=10.0)],
+        arrangements=[
+            Arrangement(
+                name="Lead",
+                notes=[Note(time=2.0, string=0, fret=3, sustain=1.0)],
+                chords=[
+                    Chord(
+                        time=4.0,
+                        chord_id=0,
+                        notes=[Note(time=4.0, string=1, fret=2, sustain=0.5)],
+                    )
+                ],
+                anchors=[Anchor(time=6.0, fret=3)],
+                hand_shapes=[HandShape(chord_id=0, start_time=4.0, end_time=5.0)],
+                phrases=[
+                    Phrase(
+                        start_time=0.0,
+                        end_time=8.0,
+                        max_difficulty=0,
+                        levels=[
+                            PhraseLevel(
+                                difficulty=0,
+                                notes=[Note(time=3.0, string=0, fret=0, sustain=2.0)],
+                            )
+                        ],
+                    )
+                ],
+                tones={"base": "clean", "changes": [{"t": 7.0, "name": "lead"}]},
+                tempos=[{"time": 0.0, "bpm": 120.0}],
+            )
+        ],
+    )
+
+    ga.warp_song_times(song, _shifted_double)
+
+    assert song.song_length == pytest.approx(201.0)
+    assert [b.time for b in song.beats] == pytest.approx([1.0, 3.0])
+    assert song.sections[0].start_time == pytest.approx(21.0)
+
+    arr = song.arrangements[0]
+    n = arr.notes[0]
+    assert n.time == pytest.approx(5.0)
+    assert n.sustain == pytest.approx(2.0)  # (2+1)*2+1 - 5
+    ch = arr.chords[0]
+    assert ch.time == pytest.approx(9.0)
+    assert ch.notes[0].time == pytest.approx(9.0)
+    assert ch.notes[0].sustain == pytest.approx(1.0)
+    assert arr.anchors[0].time == pytest.approx(13.0)
+    hs = arr.hand_shapes[0]
+    assert (hs.start_time, hs.end_time) == (pytest.approx(9.0), pytest.approx(11.0))
+    ph = arr.phrases[0]
+    assert (ph.start_time, ph.end_time) == (pytest.approx(1.0), pytest.approx(17.0))
+    assert ph.levels[0].notes[0].time == pytest.approx(7.0)
+    assert ph.levels[0].notes[0].sustain == pytest.approx(4.0)
+    assert arr.tones["changes"][0]["t"] == pytest.approx(15.0)
+    assert arr.tempos[0]["time"] == pytest.approx(1.0)
+
+
+def test_warp_song_times_clamps_negative_sustain():
+    # A non-monotonic warp callable must not produce negative sustains
+    song = Song(arrangements=[
+        Arrangement(name="Lead",
+                    notes=[Note(time=1.0, string=0, fret=0, sustain=1.0)])
+    ])
+    ga.warp_song_times(song, lambda t: 5.0 - t)  # decreasing map
+    assert song.arrangements[0].notes[0].sustain == 0.0
+
+
+# ── gp_has_expandable_repeats ─────────────────────────────────────────────────
+
+def test_gpif_files_never_expand_repeats(tmp_path):
+    # GPIF conversion is single-pass as-written, so .gp/.gpx are always False
+    gp = tmp_path / "song.gp"
+    gp.write_bytes(_gpif_zip(_gpif([(0, 120.0)], ["4/4"])))
+    assert ga.gp_has_expandable_repeats(str(gp)) is False
+
+
+def test_gp345_unparseable_returns_false(tmp_path):
+    bad = tmp_path / "song.gp5"
+    bad.write_bytes(b"not a real gp5 file")
+    assert ga.gp_has_expandable_repeats(str(bad)) is False
+
+
+def test_gp345_repeats_detected(tmp_path):
+    guitarpro = pytest.importorskip("guitarpro")
+    song = guitarpro.models.Song()
+    track = guitarpro.models.Track(song)
+    song.tracks = [track]
+    # Bar 2 of 3 opens a repeat
+    for _ in range(2):
+        header = guitarpro.models.MeasureHeader()
+        song.addMeasureHeader(header)
+    song.measureHeaders[1].isRepeatOpen = True
+    for header in song.measureHeaders:
+        track.measures.append(guitarpro.models.Measure(track, header))
+    path = tmp_path / "repeat.gp5"
+    guitarpro.write(song, str(path))
+    assert ga.gp_has_expandable_repeats(str(path)) is True
+
+
+def test_gp345_plain_song_no_repeats(tmp_path):
+    guitarpro = pytest.importorskip("guitarpro")
+    song = guitarpro.models.Song()
+    track = guitarpro.models.Track(song)
+    song.tracks = [track]
+    for _ in range(2):
+        header = guitarpro.models.MeasureHeader()
+        song.addMeasureHeader(header)
+    for header in song.measureHeaders:
+        track.measures.append(guitarpro.models.Measure(track, header))
+    path = tmp_path / "plain.gp5"
+    guitarpro.write(song, str(path))
+    assert ga.gp_has_expandable_repeats(str(path)) is False
+
+
+# ── refine_sync pure fallbacks ────────────────────────────────────────────────
+
+def test_refine_sync_empty_points_returns_input():
+    sync = GpSyncData(audio_offset=0.0, audio_asset_id="", sync_points=[])
+    assert ga.refine_sync(sync, "/nonexistent.ogg") is sync
+
+
+def test_refine_sync_single_point_returns_input():
+    # One point → fewer than 2 warp anchors → unchanged, no audio load
+    sync = GpSyncData(audio_offset=-1.0, audio_asset_id="",
+                      sync_points=[_sp(0, 1.0)])
+    assert ga.refine_sync(sync, "/nonexistent.ogg") is sync

tests/test_library_filters.py

@@ -614,3 +614,16 @@ def test_artist_filter_is_case_insensitive(client, seeded):
     data = _get(client, artist="a band")
     assert data["total"] == 1
     assert data["songs"][0]["filename"] == "a.archive"
+
+
+def test_unmatched_flag_and_quick_filter(server_mod, client):
+    # A per-card "no match" badge needs the row to carry the enrichment state.
+    _put(server_mod, filename="a.archive", title="Matched", artist="A")
+    _put(server_mod, filename="b.archive", title="Missed", artist="B")
+    server_mod.meta_db.apply_enrichment_match("b.archive", "h", "failed")   # no-match
+    rows = {s["filename"]: s for s in server_mod.meta_db.query_page()[0]}
+    assert rows["b.archive"]["unmatched"] is True
+    assert rows["a.archive"]["unmatched"] is False
+    # The "Unmatched" quick-filter (match=unmatched) returns only the failed song.
+    fns = [s["filename"] for s in client.get("/api/library?match=unmatched").json()["songs"]]
+    assert fns == ["b.archive"]

tests/test_mb_enrichment.py

@@ -134,6 +134,73 @@ def test_search_does_not_retry_when_strict_hits(server, monkeypatch):
     assert len(calls) == 1
 
 
+# ── alias-aware scoring (non-Latin-primary artists) ──────────────────────────
+
+_AID = "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"
+
+
+def test_artist_aliases_fetched_and_cached(server, monkeypatch):
+    calls = []
+
+    def fake(path, params):
+        calls.append(path)
+        return {"sort-name": "Ohashi, Junko",
+                "aliases": [{"name": "Junko Ohashi"}, {"name": "大橋 純子"}]}
+
+    monkeypatch.setattr(server, "_mb_http_get", fake)
+    names = server._mb_artist_aliases(_AID)
+    assert "Junko Ohashi" in names and "Ohashi, Junko" in names
+    server._mb_artist_aliases(_AID)          # cached → no second request
+    assert len(calls) == 1
+
+
+def test_artist_aliases_rejects_bad_id(server, monkeypatch):
+    def boom(path, params):
+        raise AssertionError("must not fetch for a non-UUID id")
+
+    monkeypatch.setattr(server, "_mb_http_get", boom)
+    assert server._mb_artist_aliases("not-a-uuid") == []
+
+
+def test_enrich_auto_matches_japanese_primary_via_alias(server, monkeypatch):
+    # A pack whose (romanized) artist MB stores under a Japanese primary name.
+    _put(server, "x.sloppak", title="Telephone Number", artist="Junko Ohashi")
+
+    def _routed(path, params):
+        if path.startswith("artist/"):                      # alias lookup
+            return {"sort-name": "Ohashi, Junko",
+                    "aliases": [{"name": "Junko Ohashi"}]}
+        q = params.get("query", "")
+        if q.startswith("recording:"):                      # strict phrase → nothing
+            return {"recordings": []}
+        return {"recordings": [mb_doc(rid="rec-jp", title="Telephone Number",
+                                      artist="大橋純子", artist_id=_AID)]}   # loose hit
+
+    monkeypatch.setattr(server, "_mb_http_get", _routed)
+    monkeypatch.setattr(server, "_enrich_network_enabled", lambda: True)
+    server._background_enrich()
+    row = server.meta_db.get_enrichment("x.sloppak")
+    # The romanized alias lifts the artist over the auto floor → auto-confirmed.
+    assert row["match_state"] == "matched"
+    assert row["mb_recording_id"] == "rec-jp"
+
+
+# ── per-song field locks respected by the auto-matcher ───────────────────────
+
+def test_locked_field_not_canonicalized_by_auto_match(server, monkeypatch):
+    _put(server, "x.sloppak")                       # title "Thunderstruck (v2)", artist "ACDC"
+    server.meta_db.set_song_override("x.sloppak", "artist", locked=True)
+    monkeypatch.setattr(server, "_mb_http_get",
+                        lambda path, params: {"recordings": [mb_doc()]})
+    monkeypatch.setattr(server, "_enrich_network_enabled", lambda: True)
+    server._background_enrich()
+    row = server.meta_db.get_enrichment("x.sloppak")
+    assert row["match_state"] == "matched"          # still matches (identity applies)…
+    assert row["canon_artist"] is None              # …but the LOCKED artist isn't canonicalized
+    assert row["canon_title"] == "Thunderstruck"    # unlocked display fields still apply
+    assert row["mb_recording_id"]                   # identity keys still stored (art needs them)
+
+
 # ── offline safety (the pytest-never-hits-network contract) ──────────────────
 
 def test_offline_default_skips_matching(server, monkeypatch):

tests/test_mb_match.py

@@ -216,6 +216,27 @@ def test_build_recording_query_loose_keeps_live_for_live_charts():
     assert loose == "(highway to hell) AND (ac dc)"
 
 
+# ── alias-aware artist scoring ────────────────────────────────────────────────
+
+def test_cand_artist_sim_uses_aliases():
+    song = {"artist": "Junko Ohashi", "title": "Telephone Number"}
+    # primary is the Japanese name → romanized reference scores 0…
+    assert m.cand_artist_sim(song, {"artist": "大橋純子"}) == 0.0
+    # …but a romanized alias confirms it
+    assert m.cand_artist_sim(
+        song, {"artist": "大橋純子", "artist_aliases": ["Ohashi Junko", "Junko Ohashi"]}) == 1.0
+
+
+def test_alias_lifts_candidate_to_auto():
+    song = {"artist": "Junko Ohashi", "title": "Telephone Number"}
+    jp = {"artist": "大橋純子", "title": "Telephone Number"}
+    # Without the alias: title matches but the artist floor fails → never auto.
+    assert m.classify(song, jp, m.score_candidate(song, jp)) != "auto"
+    # With the romanized alias attached: artist clears the floor → auto.
+    jp_alias = dict(jp, artist_aliases=["Junko Ohashi"])
+    assert m.classify(song, jp_alias, m.score_candidate(song, jp_alias)) == "auto"
+
+
 # ── MusicBrainz response parsing ──────────────────────────────────────────────
 
 MB_DOC = {