Pith Number
pith:EMBJ4JYN
pith:2023:EMBJ4JYNGFNPKF6N3FFMBXXATS
not attested
not anchored
not stored
refs pending
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
arxiv:2301.12004 v1 · 2023-01-27 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EMBJ4JYNGFNPKF6N3FFMBXXATS}
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
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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 | 2026-07-05T05:36:34.137521Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23029e270d315af517cdd94ac0dee09c9fae5293ea64a958ac85a68d3032a9f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EMBJ4JYNGFNPKF6N3FFMBXXATS \
| 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: 23029e270d315af517cdd94ac0dee09c9fae5293ea64a958ac85a68d3032a9f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5bb74b5c53a2c171229b843175072213b3bf78e6fbf23517a81b9cbe42b2480e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-01-27T22:02:27Z",
"title_canon_sha256": "7df66264bbec951ee37a61e7f326e08e9272a4391e6b0d78b63697b7e3c66b55"
},
"schema_version": "1.0",
"source": {
"id": "2301.12004",
"kind": "arxiv",
"version": 1
}
}