`_bbox_to_pixels` sorts each coordinate pair after clamping. Run B returned `p007 person_1` as `[226, 417, 130, 551]`, x1 > x2, which cropped to nothing and lost that detection silently. The third GPU cycle came back with 0 degenerate boxes over 119 detections. The plan's first item cannot run as written. All 145 rows of `identity_labels` belong to chapter 8ca8249b, a different manga. Chapter 7c944dd4 has none, so `/review/identity` reports `accuracy: null`. Scoring 8ca8249b gives 7/138 on an identity run that predates every fix. The cycle also settled the coverage question. All 68 assignments landed on face-bearing detections and none on a gated one, so recall among face-bearing detections is 96%, up from 82%. Coverage is the `has_face` gate and nothing else. What is now open is precision: the lead holds 36 of 68 assignments. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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NEXT
Updated 2026-08-12 (sixth session). What the fifth session did is in HANDOFF.md, the runs are in
JOURNAL.md.
State
The chapter runs end to end. The A/V sync defect is fixed and chapter.mp4 is rebuilt: video 364.120s
against audio 364.122s at 25/1.
Job 778297bc-e7ce-439d-91b5-8a027060d17f, chapter 7c944dd4-e972-42c7-ba60-9f6939548e80, 116 panels.
Three GPU cycles ran on 2026-08-12, the last 18:07-18:13 UTC on a reset registry. The job is running and
parked at dialogue waiting. Everything from dialogue down is cleared and stale. All 9 workers are
current.
Eight changes are now proven on real panels. The fourth session contributed four. The fifth added the
roster-hint removal, merge-chain flattening and name_claims reset. This session added bbox corner
ordering. The registry after the 18:07 run holds 18 rows, 9 live and 9 carrying merged_into:
LIM SEONHO, 36 assignments, the lead, one row, named from the p010 caption.character_b112d4, 23 assignments, the woman, correct and unnamed.Seonho, still the wrong man, still named off in-panel text.
Coverage is 57%, from 50%, 61% and 70% before it, and it is now the has_face gate and nothing else. All 68
assignments landed on face-bearing detections and none on a gated one. Recall among face-bearing detections
is 68 of 71, or 96%, up from 82%. Degenerate boxes went from 1 in 117 to 0 in 119, and the merge
chain is flat with 22 assignments stamped merged_from.
The open question moved. The lead holds 36 of 68 assignments, 53%, which audit_registry.py flags as
absorbing. Nothing separates a protagonist in half the panels from an over-merge
(caveats/audit-open.md#coverage-trend).
Next
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Decide whether the lead absorbing 53% of assignments is real. It needs labels this chapter lacks. The resolver is cleared: recall among face-bearing detections is 96%. What is unmeasured is precision. The lead went from 25 of 59 to 36 of 68 as the merge count rose from 7 to 9.
The previous plan pointed at
identity_labelsand its 145 rows. Measured this session: every one of those rows belongs to chapter8ca8249b, a different manga. Chapter7c944dd4has zero labels, so/review/identityreportslabeled: 0, accuracy: null. Scoring8ca8249bgives 7/138 on an identity run that predates all eight fixes. The eval plumbing works and the ground truth is missing. Labelling7c944dd4by hand is the only path to a precision number (caveats/audit-open.md#coverage-trend). -
Order the corners inDone 2026-08-12, run and verified on a GPU. 0 degenerate boxes over 119 detections (_bbox_to_pixels.decisions/identity-bbox.md#bbox-corners-ordered). -
Detection still names from in-panel text and can hit the wrong body. p011 and p026 emit
name: "Seonho"onperson_2with the roster hint gone. That is the residue of the naming defect and the reason the glasses man is named at all (decisions/identity-bbox.md#roster-does-not-name, "not covered"). -
Decide what a back-turned character costs. This is now the whole of the coverage number.
has_facegates 40% of detections. On the 18:07 run panel 7 lost 5 of its 6 detections to the gate, and its one face-bearing detection went unassigned. Panel 7's lead is at his desk from behind.face_detectfinds one face on the whole panel at conf 0.599, and nothing else above 0.056 even at a 0.04 threshold. The gate is right and the detector is right. The lead is still unidentifiable there. Options are a body or head detector alongside the face one, or letting the tracklet carry identity across a back-turned panel. Do not lowerFACE_CONF, the sweep shows nothing to find.Smaller follow-on: nine
_audio_durcalls inworker_render.pymeasure finished clips withformat=duration. So the durations reported to the orchestrator are blind to per-clip drift. They position no filter, so invariant 9 does not cover them. Worth converting to_stream_dur. -
Fix identity, in this order. All of 2a-2d below are done and now proven on a GPU. Kept for the evidence trail.
a.
Settle theDone 2026-08-12, proven over all 113 detections and checked by eye on panel 7, where five of six converted boxes land on their subject (bboxcoordinate space.decisions/identity-bbox.md#bbox-is-normalized). The rerun settles the last doubt:person_1now frames the lead at his desk, not the window mullion the pre-fix box caught. b.Let identity abstain and stay abstained.Done 2026-08-12, run and verified on a GPU (decisions/identity-bbox.md#none-mints-an-anonymous-character). The resolver could always answer "none of these". The orchestrator was discarding the answer: it read onlycharacter_id, so a deliberate NONE and a hallucinated index both unassigned every crop of the tracklet. A NONE now mints an anonymous character from the crop, using the embedding/identity/resolveships beside it asemb_uri. Deployed: image rebuilt,resolve_outcomeverified inside the container. c.Separate extra from cast.Done 2026-08-12, run and verified on a GPU (decisions/identity-bbox.md#face-gates-enrollment,decisions/identity-bbox.md#extras-gate-consumers).has_facestops a faceless detection enrolling, and two more consumers now skip it:worker_scene'sactions, which is the script prompt's content and the verifier's evidence, andservice._beat, the director's "who"._present_charactersstays ungated on purpose, reasoned out in the decision. The remaining gap is that vision still emits extras into the blob, which is deliberate so the audit can see what was gated. d.Merge and split.Safety net done and now exercised. The 18:07 run merged 9 rows and stamped 22 assignmentsmerged_from:, with no chain deeper than one hop. The non-destructive path and the flattening fix are both proven on real data.A merge no longer deletes the losing row: it sets
merged_into, and stamps every repointed assignment withmethod = merged_from:<loser_id>. A wrong merge now costs a hand-written SQL walk, not a full rebaseline (caveats/audit-open.md#destructive-reconcile).Deliberately not built: the unmerge path and the split. No wrong merge has been observed since the crops were fixed, so the consumer of those records waits for one. The forward case is partly covered by 2b, because a resolver NONE now mints rather than folding a stranger into the nearest match. Splitting a character that is ALREADY over-merged still needs a re-embed pass over its detections.
Cast profiles already exist. Do not rebuild them. The user asked whether the main cast could get a profile built from reference frames and reused.
charactersalready carriesref_image_urisandembedding_uri, and every row has both populated (16 rows after the rerun, 53 before it). The mechanism was never missing. It was enrolled from the wrong crops, so it stored balloon edges and window frames. Step (a) fixed that, and the audit now reports 0 characters missing a ref crop. Three things are genuinely absent and are the smaller follow-on:- no quality gate on enrollment, so nothing checks that a reference crop holds a face at all
- nothing re-enrolls a reference set once it is written, so the wrong crops persist
The visual "is this them?" check is already built. Do not write it again.
/vision/resolveatworker_vision.py:963sends the query crop plus up to 3 labelled reference images per candidate.build_resolve_prompttells the model to judge face shape first, to treat hair and outfit as secondary, that two people sharing a hair colour are not the same, and to answer0for NONE when unsure.choice: 0becomes a new character, an out-of-range index becomesunresolved, andref_image_urisis republished asreference_image_urisatworker_identity.py:152and:161. The mechanism, the prompt and the abstain path are all correct. They are fed crops of the wrong region, which is step (a).- no human gate to name, merge or split the clusters. The user wants this as a minor adjustment on
top, not as the mechanism. The
gatestable and the review gates from [#136] are the place to hang it
The chibi at 1:35 will survive all of this. He genuinely is brown hair plus a yellow shirt, so a profile match is correct on appearance and wrong on reality. That needs item 4 below, plus requiring a real face before a crop can enroll.
-
Stop the narration inventing facts. 0:43, 2:03, 2:05 and 2:15 assert things no panel shows. The correctness verifier passed 116/116 because it checks quotes and names, never invented claims.
-
Teach vision that art inside a panel is not the scene. A chibi on a monitor became "a man holding a drink" at 1:35. A colleague pointing into the distance became "pointing towards the screen" at 1:59.
-
layerswrites nothing and reportscompleted 116/116, so no clip has parallax and a still holds for 28s from 2:24 (caveats/audit-open.md#layers-writes-nothing). -
Clear the stale job error. The completed job still carries
error: "partial: 112/116 completed"(caveats/audit-open.md#stale-job-error). -
Balloon-to-speaker geometry via the unused
det/segheads (caveats/speaker-attribution.md#tail-is-not-geometry) is now behind item 5. With no name to attach, geometry buys nothing. -
Resolve a speaker answer across the whole dialogue window, not just the answering panel. The last 3 unresolved refs describe a neighbouring panel in the same 8-panel call.
-
Start Phase 2 from
ROADMAP.md. Set SQLitebusy_timeoutbefore any concurrency work (caveats/audit-open.md#sqlite-locking).
Lesson worth keeping
Every metric recorded before this session said the pipeline was fine or nearly fine. script 116/116,
"9 named speech lines", layers 116/116, assemble 1/1. Watching two and a half minutes of output
found a 20% sync failure, a cast that is 84% anonymous, invented narration, and a stage that writes
nothing while reporting success. Stage counters measure whether code ran. They say nothing about whether
the result is correct. Watch the output before trusting a number.
Running the pieces
./start_workers.sh # session_manager + 9 workers, each a uvicorn in a tmux window
tmux attach -t manga-workers # per-worker logs
.venv/bin/python worker_render.py # self-check, runs real ffmpeg, about 4 minutes
Read the state, or clear a stage and resume:
/usr/bin/ssh kami@192.168.1.104 "curl -s 'http://127.0.0.1:9090/job/status?job_id=778297bc-e7ce-439d-91b5-8a027060d17f'"
/usr/bin/ssh kami@192.168.1.104 "curl -s -X POST http://127.0.0.1:9090/stage/clear -H 'Content-Type: application/json' -d '{\"job_id\":\"778297bc-e7ce-439d-91b5-8a027060d17f\",\"stage\":\"<stage>\"}'"
/usr/bin/ssh kami@192.168.1.104 "curl -s -X POST 'http://127.0.0.1:9090/job/resume?job_id=778297bc-e7ce-439d-91b5-8a027060d17f'"
Traps: tmux respawn-window -k does NOT re-run the window's command, it drops to a bare shell and the
worker stays down. Restart one worker by re-sending the send-keys line from start_workers.sh, and
confirm with /health plus ./check_stale.sh. docker compose up --build orchestrator recreates the
container, which drops any docker cp'd script such as audit_registry.py.
Plain ssh is the kitty ssh kitten and refuses non-interactive stdin, so use /usr/bin/ssh.
mc aliases on homesrv are homesrv and mio. local returns Access Denied and rfs is the empty
rustfs. cp is aliased to cp -i and hangs on overwrite, so use /usr/bin/cp -f.
Re-fixing assembly needs the real clips, which the session scratchpad no longer holds:
/usr/bin/ssh kami@192.168.1.104 'P=homesrv/video/ef105a86-4b7e-4ac4-b45c-b7d83b8f5b5e/7c944dd4-e972-42c7-ba60-9f6939548e80; mc cp -q -r $P/clips/ /tmp/rclips/; cd /tmp/rclips && tar cf - .' | tar xf - -C clips/
Storage and viewer, tasks #116/#117
[#117] is done. stowage serves the manga buckets. It was never a MinIO problem: the container had been
dead since 2026-07-19 on an arm64 digest pin.
[#116] is closer but not cut over. Artifacts split one bucket per class
(decisions/storage-layout.md#bucket-per-artifact), and both MinIO and rustfs hold all six buckets.
rustfs on 127.0.0.1:9010/9011 is still empty and nothing is repointed, so MinIO serves every read
and write. Remaining: mc mirror the live buckets, verify counts and sizes, then decide on cutover
(decisions/storage-layout.md#rustfs-staged).
Two containers on homesrv had been dead for two weeks and now run. manga-fetch is the one
/job/create needs. manga-web is what manga.kvmx.ru proxies to on 8083. Nothing watches them, and
nothing watches the workers.
Open questions
Four Phase 1 items have no Vikunja task, because writing to the tracker was not asked for: the speaker
contract fix, the verifier rules, the tracklet constraints, and the flag resolution path. Only [#203]
existed and is closed by decisions/audit-phase1.md#unlocked-model-load.
Three audit items are deliberately not done and are recorded as caveats rather than silently dropped: honest stage clearing, ComfyUI under the session mutex, and reversible identity merges. Each needs a design decision, not a patch.
Carried over from the reconstruction: .venv needs the ROCm torch wheel reinstalled, and dots.tts/,
legacy/, RESUME_SPEC.md, pipeline-design-notes.md, spec-v2.md are unrecoverable.