8af6a3f5d5
Walks every IDXD object on the disc (7 750 objects, 190 782 records,
2 757 039 field entries, zero parse failures) and separates the field keys
that carry no name in the pool from those that do.
The headline correction: the "504 fields disc-wide that are hash-keyed with
no name" is a count of field ENTRIES. It is 42 distinct keys x 6 language
copies of one object x 2 records (FILE and OFFSET) = 504. The brute-force
target was never 504 names.
7 094 distinct keys are never named anywhere. 7 052 of them are not hashes
at all: they are author-assigned element ids, equal to the field's own index
in 1 404 924 of 1 485 577 cases and hand-numbered with gaps elsewhere.
Refuted directly rather than assumed -- tag_hash("BGM_001") is 0xC662435B
while the key of the field valued "BGM_001.slb" is 0x000003E9.
The split is measured, not stipulated: every key that DOES carry a name and
has a zero checksum byte sits at 0x0002677C or above, the ordinal band tops
out at 0x2198, and not one key falls in the gap between.
tag_hash reproduces 1 271 462 / 1 271 462 named field keys disc-wide
(`idxd_unnamed_keys.py selftest`), which is the gate everything else rests on.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PMRJjbxLqZtsb5Vb7KunPE