Pith Number
pith:QFXFCN55
pith:2023:QFXFCN55JF77J2EYOSXGJZ7OLO
not attested
not anchored
not stored
refs pending
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
arxiv:2307.04507 v1 · 2023-07-10 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QFXFCN55JF77J2EYOSXGJZ7OLO}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:29:14.415439Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
816e5137bd497ff4e89874ae64e7ee5b8ecedd20f4ecdbc4d954594d7c5d4c08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QFXFCN55JF77J2EYOSXGJZ7OLO \
| 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: 816e5137bd497ff4e89874ae64e7ee5b8ecedd20f4ecdbc4d954594d7c5d4c08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b66b89c1f6106752f1359d6ae719e1b25d38245d7ce5a7581d717ee082883c34",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-07-10T12:01:18Z",
"title_canon_sha256": "4c18d9806439a5014a8b3fedda7bffddd16ad07b8f9adc368655c5bb7e31a093"
},
"schema_version": "1.0",
"source": {
"id": "2307.04507",
"kind": "arxiv",
"version": 1
}
}