Pith Number
pith:ZNXBUIQC
pith:2025:ZNXBUIQCQCAQVJHC62KOROYXE5
not attested
not anchored
not stored
refs pending
What should an AI assessor optimise for?
arxiv:2502.00365 v1 · 2025-02-01 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZNXBUIQCQCAQVJHC62KOROYXE5}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:08:32.738909Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cb6e1a220280810aa4e2f694e8bb17277c57c53ea3def532469be6ed66633000
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZNXBUIQCQCAQVJHC62KOROYXE5 \
| 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: cb6e1a220280810aa4e2f694e8bb17277c57c53ea3def532469be6ed66633000
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eede433b77385e32f6b80b273fcaaf73468828af65100b3ca213f10136db0b69",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-01T08:41:57Z",
"title_canon_sha256": "48b0357b8e0f6cc941a98e83a4fab8ea34008a8e2e0ca390aada5de24ee2c0aa"
},
"schema_version": "1.0",
"source": {
"id": "2502.00365",
"kind": "arxiv",
"version": 1
}
}