movie_manifest::parse now reads BASE_INFO's positional field keys (the game's
own cutscene ids, stage*100 + slot) and follows each to its record, instead of
scraping the string pool. The pool stores each distinct string once, so a
REPEAT reference produced no token and read as "no binding".
That single cause explains every wrong cell: 13 later references to
VOICE_D_450..454, two to SUBTITLE_hokyu_LS_s11A.tbl, and MS01A's share of
pwterop_s01a.prt. All 18 hokyu movies are bound, not five.
Counts, verified independently by me against the disc before recording:
104 cutscene SLOTS binding 101 distinct MOVIES; 99 slots / 96 movies with a
voice track, 99 / 96 with a subtitle, 22 / 22 with a telop. The docs' old
94 / 83 / 21 are exactly the counts of DISTINCT POOL STRINGS -- not wrong
measurements, measurements of the wrong thing. Three denominators were being
conflated; the new test pins all three.
Two assertions in movie_manifest_disc.rs were false and are corrected:
hokyu_DS_s13A binds VOICE_D_452 and resolves to eng\etc\VOICE_D_452.slb. The
in-game verdict that rejected that value tested an INFERENCE from a shared
demo id, on a decoder that discards 85-87% of banks in this class -- see
voice-bank-leading-region.md, committed earlier today.
The ~104 script ids are no longer open: they are literal positional keys,
each naming its record, and all 104 resolve. The old "counts differ by three,
positional pairing does not work" has a concrete cause -- three resupply
movies are bound by TWO slots each.
Also corrected: the naming convention has 3 subtitle exceptions (s24A/s27A
borrow s11A's track) and 18 voice exceptions, not one and five.
The legacy scraper is kept as a fallback for blobs with no record table, so
the synthetic unit fixtures still exercise it.
Artifacts: examples/movie_map_csv.rs regenerates the CSV, now slot-keyed
(104 rows; the movie-keyed version silently dropped one slot of each
duplicate). Disc tests green.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PMRJjbxLqZtsb5Vb7KunPE
fedb31a5f9