Pith Number
pith:NMDWWMRE
pith:2025:NMDWWMRE7J4FD773B7NT2MLO6E
not attested
not anchored
not stored
refs pending
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
arxiv:2504.14452 v2 · 2025-04-20 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NMDWWMRE7J4FD773B7NT2MLO6E}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:39:10.867350Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b076b3224fa7851fffb0fdb3d316ef1245fb1636b3bc1544a4468a761c92b6a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NMDWWMRE7J4FD773B7NT2MLO6E \
| 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: 6b076b3224fa7851fffb0fdb3d316ef1245fb1636b3bc1544a4468a761c92b6a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5a6ddeac678d70ba9b30eb86a5117328c583cc506f5721483dd93116ed59d33f",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-04-20T01:59:46Z",
"title_canon_sha256": "869a3db16d037c3270788d289d2171648dca9a1010c58ef1d436e47cba9ecc12"
},
"schema_version": "1.0",
"source": {
"id": "2504.14452",
"kind": "arxiv",
"version": 2
}
}