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Decode CGINIT gallery registry

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gamer147
2026-07-23 19:06:21 -04:00
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docs/phase-a-slice-plan.md
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@@ -2855,3 +2855,30 @@ and the generated profile has collapsed from 242 pseudo-fields to the two true c
**Next:** audit CGINIT's large numeric output. Determine whether its apparent 1,304-field surface is a
legitimate gallery/resource matrix or another ownership artifact before assigning any new semantics.
## Data-semantics sidebar: CGINIT gallery registry (2026-07-23)
CGINIT's former 379-record/1,304-field numeric output was an ownership error. The script contains 3,941
static writes forming 851 sparse gallery-image rows, ids 1..855 with four gaps, inside a reserved
2,000-row layout. Every row has a full-size gallery image, a thumbnail sheet id, a thumbnail slot id,
and a variant ordinal; 537 rows additionally carry the optional preview used by SAVE and SELSTAGE.
The dedicated schema classifies every write and reduces the generated profile to these five real fields.
CGMODE proves the presentation model. INIT2 configures four sheets with `SO026A.AGF` through
`SO026D.AGF`; each resource is a 6-by-5 atlas of thirty 126-by-95 thumbnail cells. CGMODE compacts the
enabled sheets, groups gallery records by their one-based sheet and slot, and orders the full-size images
behind a slot by the one-based variant ordinal (1..23 in shipped data). It tests each primary image's
unlock state, reports unlocked and total variants per thumbnail, and displays the selected full-size
asset. SAVE and SELSTAGE independently scan the same primary image column and use the optional second
asset when it is a 112-by-84 preview, otherwise falling back to a captured frame.
The generated rows join all primary, preview, and sheet asset ids to SYS4INI-derived filenames while
retaining the raw `0x62cd1/2/{0,1}`, `0x63c71`, `0x64441`, and `0x64c11` keys. The curated global
registry names those arrays plus CGMODE's ten-cell configured sheet-resource vector. Regressions cover
the complete write accounting, sparse id range, four atlases, optional previews, representative image
joins, and raw-to-semantic field projection.
**Next:** profile the remaining generic/footer INIT outputs by evidence density. MPINIT is structurally
regular but still semantically shallow; the smaller CTINIT/CVINIT/AFINIT families may offer faster
reader-proven joins. Rank them by malformed field count and direct-consumer coverage before choosing the
next dedicated schema.