Pith Number
pith:SV2QRH2Q
pith:2024:SV2QRH2QQOJ422YLMT4FF7DFOB
not attested
not anchored
not stored
refs pending
Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?
arxiv:2401.10444 v1 · 2024-01-19 · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SV2QRH2QQOJ422YLMT4FF7DFOB}
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 | 2026-07-05T07:35:26.235215Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9575089f508393cd6b0b64f852fc6570726f7cb772161b34f76fe7fe1d012ce6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SV2QRH2QQOJ422YLMT4FF7DFOB \
| 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: 9575089f508393cd6b0b64f852fc6570726f7cb772161b34f76fe7fe1d012ce6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a2eeea93889698cba71b780df88395b5fe52940ad34c6e242caee62a6c337f1",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-01-19T01:14:45Z",
"title_canon_sha256": "f5b9a893ca0a23f6e7b98eac6f318cd6835ecea05f21d3aa327f8657d265680d"
},
"schema_version": "1.0",
"source": {
"id": "2401.10444",
"kind": "arxiv",
"version": 1
}
}