Pith Number
pith:NQXHZ64K
pith:2026:NQXHZ64KN3EMYDKNRUXF646SXX
not attested
not anchored
not stored
refs pending
An LLM-Native Psychometric Instrument Does Not Predict LLM Behavior: Evidence Across 25 Models
arxiv:2606.09843 v1 · 2026-04-24 · cs.HC · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NQXHZ64KN3EMYDKNRUXF646SXX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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claim
4
Citations
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Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-06-10T00:08:28.060759Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c2e7cfb8a6ec8cc0d4d8d2e5f73d2bdcf45448f4d8b717138278b413dca8d7c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQXHZ64KN3EMYDKNRUXF646SXX \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6c2e7cfb8a6ec8cc0d4d8d2e5f73d2bdcf45448f4d8b717138278b413dca8d7c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3aa3c897e5cb3d17d94f5ba02f681bc47c80c8b9e4ec1f68febe6da3b3ba4fe",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2026-04-24T04:42:09Z",
"title_canon_sha256": "38b8b7d36225c5b25106ab53e7256dba3f017e8a1bd40d00c57474a4b6a0bc83"
},
"schema_version": "1.0",
"source": {
"id": "2606.09843",
"kind": "arxiv",
"version": 1
}
}