Pith Number
pith:IQ7BFIVI
pith:2026:IQ7BFIVIJ5MYIRG2MRCFAPVKU7
not attested
not anchored
not stored
refs pending
The Cognitive Categorical Transformer: Category-Theoretic Inductive Biases for Language Modeling
arxiv:2605.28864 v1 · 2026-05-22 · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQ7BFIVIJ5MYIRG2MRCFAPVKU7}
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
3
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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 | 2026-05-29T00:04:14.643965Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
443e12a2a84f598444da6444503eaaa7ee9ef1fbc6fc0955ca05f97f1786a7d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQ7BFIVIJ5MYIRG2MRCFAPVKU7 \
| 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: 443e12a2a84f598444da6444503eaaa7ee9ef1fbc6fc0955ca05f97f1786a7d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4edba65bed6748d7abf75abb637cc2e5b973e2f06eae240668accf0cb4d80243",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-22T00:56:20Z",
"title_canon_sha256": "6361782ef7e99a8a24071c84bfacd39f2c472f551a084c54e006810ad83e51d4"
},
"schema_version": "1.0",
"source": {
"id": "2605.28864",
"kind": "arxiv",
"version": 1
}
}