Pith Number
pith:444NKONJ
pith:2025:444NKONJL3WJPYH2GDALK3Z7HZ
not attested
not anchored
not stored
refs pending
How to Select Datapoints for Efficient Human Evaluation of NLG Models?
arxiv:2501.18251 v2 · 2025-01-30 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{444NKONJL3WJPYH2GDALK3Z7HZ}
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
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claim
4
Citations
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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 | 2026-07-05T11:13:19.478077Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e738d539a95eec97e0fa30c0b56f3f3e6ea29564cbe94a69e82bb607d4bfb51a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/444NKONJL3WJPYH2GDALK3Z7HZ \
| 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: e738d539a95eec97e0fa30c0b56f3f3e6ea29564cbe94a69e82bb607d4bfb51a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d99ad40245013590189c04426309ddf4f55374d32887ae904f307357884ca25e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-30T10:33:26Z",
"title_canon_sha256": "a9b5f9ea6fbb0a9b7ac39b199a70c7f61cf9c076322b4c7a41ac4f55a11a45c0"
},
"schema_version": "1.0",
"source": {
"id": "2501.18251",
"kind": "arxiv",
"version": 2
}
}