Pith Number
pith:PUPDHDHA
pith:2024:PUPDHDHAFJNNMUE7ADDXYX7LLI
not attested
not anchored
not stored
refs pending
Are Large Language Models Good Statisticians?
arxiv:2406.07815 v2 · 2024-06-12 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PUPDHDHAFJNNMUE7ADDXYX7LLI}
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
✓
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 | 2026-07-05T09:18:27.081215Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7d1e338ce02a5ad6509f00c77c5feb5a279cc76dcbb45711d4f1b73055bea7f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PUPDHDHAFJNNMUE7ADDXYX7LLI \
| 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: 7d1e338ce02a5ad6509f00c77c5feb5a279cc76dcbb45711d4f1b73055bea7f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb5d600859fa9ea8e7dcf477dbd7c2a692575166deb52b52a7d7da398650b735",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-06-12T02:23:51Z",
"title_canon_sha256": "ad03e16a86c8ff6666960baddf67636bc27041c14b5f6e073f72c5edd63fc6b3"
},
"schema_version": "1.0",
"source": {
"id": "2406.07815",
"kind": "arxiv",
"version": 2
}
}