Pith Number
pith:5FQEZDOR
pith:2026:5FQEZDORCNZDOSO4OMBAMU3RWR
not attested
not anchored
not stored
refs pending
Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition
arxiv:2607.26179 v1 · 2026-07-28 · q-bio.NC · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5FQEZDORCNZDOSO4OMBAMU3RWR}
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 | 2026-07-30T00:08:38.847708Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
e9604c8dd113723749dc7302065371b46e087319f06f430bd0cacecdda0c884e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5FQEZDORCNZDOSO4OMBAMU3RWR \
| 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: e9604c8dd113723749dc7302065371b46e087319f06f430bd0cacecdda0c884e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d3449c26b5bde979ba830e920d059acad411eb34cb6272d299f69d5fae68d8fd",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2026-07-28T18:37:48Z",
"title_canon_sha256": "3cc4516cb976280eaf10bc6edcbe01cebfaff844f0124d2135c96ec41ee48345"
},
"schema_version": "1.0",
"source": {
"id": "2607.26179",
"kind": "arxiv",
"version": 1
}
}