Pith Number
pith:UITM27TN
pith:2024:UITM27TNXWLNX4GUQOPXPXCLQ3
not attested
not anchored
not stored
refs pending
GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?
arxiv:2406.09464 v1 · 2024-06-13 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UITM27TNXWLNX4GUQOPXPXCLQ3}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:31:54.419458Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a226cd7e6dbd96dbf0d4839f77dc4b86c25c387d908f522d1b4b776e996f3db0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UITM27TNXWLNX4GUQOPXPXCLQ3 \
| 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: a226cd7e6dbd96dbf0d4839f77dc4b86c25c387d908f522d1b4b776e996f3db0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "afb65712976afd19f2cd3d20decbd6507bc8df7c7fd46f890293532d4956e897",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-06-13T04:19:17Z",
"title_canon_sha256": "0cb98d7113c5b8a0720799706d5a2cd4b45653a0f417bc8fb366c774ee08e52c"
},
"schema_version": "1.0",
"source": {
"id": "2406.09464",
"kind": "arxiv",
"version": 1
}
}