R12 SD-CST Complete Physical-Record Front-End v1.1 Slot Audit Result
Decision: occurrence-role confusion; admit a nonlinear local six-class pointer head as the next training-only falsifier
Claim boundary: deterministic read-only audit of already-consumed training
heldout rows. Development and confirmation access remain 0/0. This is neither
a rescore nor reasoning evidence.
1. Receipt
- exact audit source commit:
a9a8d9a06a4a16c82385ae31ce346edda0d25d2f; - endpoint SHA-256:
46697b3942fdfd2edfec06cea6cb119ad507adcdee4a99330fd06bc79e5b3e88; - sole job:
694209, H100evc23, completed cleanly in 25s; - report SHA-256:
b09122a95808e066583bc38445ac4dae3ce1df863a0fa7050b14bfc7cbe63f63.
2. Six-slot result
Minimum top-one target-span exactness across the four heldout renderers is:
| Query slot | Minimum exact |
|---|---|
| binding role 0 | 80.80% |
| binding role 1 | 99.40% |
| binding role 2 | 73.50% |
| initial occurrence 0 | 47.05% |
| initial occurrence 1 | 0% |
| initial occurrence 2 | 16.70% |
Every one of 48,000 top-one decisions lands inside one of the six true entity
occurrence spans. The other category is exactly zero for every slot and
renderer. The failure is therefore not inability to localize entity evidence.
The middle initial query exposes the dominant confusion. On declaration renderer d0 it never chooses its target; its 2,000 predictions split mainly among binding role 2 (1,082--1,106), initial occurrence 0 (591--620), and initial occurrence 2 (241). On declaration renderer d1 it reaches only 10.10--10.35%, with most errors again split across those three alternatives. Mean target probability for that slot is only 15.28--15.41%.
The other initial slots are also occurrence-sensitive: occurrence 0 ranges 47.05--64.60%, and occurrence 2 ranges 16.70--52.25% depending on declaration renderer. Binding role 1 is nearly exact, while roles 0 and 2 vary with the same declaration factor. The shared bilinear key/query geometry finds entity spans but aliases their surface roles and repeated positions.
3. Consequence
The audit rejects both an evidence-missing story and a deterministic grammar shortcut. It also does not support adding epochs to v1.1. The next distinct training-only system may load the exact successful v1 query path and physical event bus, then replace declaration dot-product queries with a model-logit-only nonlinear token classifier that emits six local occurrence logits per byte.
That head must remain local, train without state/answer/executor feedback, keep the same consumed partition/schedule/gates, preserve all successful paths, and keep the complete system strictly below 200M. A pass still authorizes only a separately committed fresh board.
4. Artifact
- local report:
train/sd_cst_complete_physical_record_bus_v1_1_audit_a9a8d9a/report.json; - committed report:
artifacts/r12/sd_cst_complete_physical_record_bus_v1_1_slot_audit_a9a8d9a.report.json; - Newton report:
/lustre/fs1/home/[redacted user]/shohin_sd_cst_complete_physical_record_bus_v1_1_audit_a9a8d9a/report.json.
Local and Newton hashes match exactly.