Pith Number
pith:J2ZGI2I7
pith:2023:J2ZGI2I7DGVP5K67PW5E6TWIZP
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How well do Large Language Models perform in Arithmetic tasks?
arxiv:2304.02015 v1 · 2023-03-16 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J2ZGI2I7DGVP5K67PW5E6TWIZP}
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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 | 2026-07-05T05:58:21.151931Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4eb264691f19aafeabdf7dba4f4ec8cbe0379872c8867d9f10848de6de3c33c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J2ZGI2I7DGVP5K67PW5E6TWIZP \
| 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: 4eb264691f19aafeabdf7dba4f4ec8cbe0379872c8867d9f10848de6de3c33c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db31b758088e5e9a3fa0f96de54eebf93899ff6fa592c4cf06a6227c633cacfc",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-03-16T09:28:15Z",
"title_canon_sha256": "0cc23cc2ccf485a8080603358ed8d08a1c81bbb24a5d918394c5a98323ada7e9"
},
"schema_version": "1.0",
"source": {
"id": "2304.02015",
"kind": "arxiv",
"version": 1
}
}