Pith Number
pith:R2WNIJ55
pith:2025:R2WNIJ55SKKEWB2I34HI6NPKWT
not attested
not anchored
not stored
refs pending
Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models
arxiv:2508.17675 v3 · 2025-08-25 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R2WNIJ55SKKEWB2I34HI6NPKWT}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
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 | 2026-07-05T12:06:18.671293Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8eacd427bd92944b0748df0e8f35eab4d57746110f5882d74f8d8ff6494beb58
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R2WNIJ55SKKEWB2I34HI6NPKWT \
| 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: 8eacd427bd92944b0748df0e8f35eab4d57746110f5882d74f8d8ff6494beb58
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f726f6e7cdf09ca791aa90e96dbcfb6370cfa4874abd8e2dada233226f9a61c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-25T05:14:15Z",
"title_canon_sha256": "e552614003badd830703a9435de426f998f33995f8c71bb9f55b50f8e6efe4ff"
},
"schema_version": "1.0",
"source": {
"id": "2508.17675",
"kind": "arxiv",
"version": 3
}
}