Pith Number
pith:7OVQLHQ7
pith:2026:7OVQLHQ7AQPIS5NCXHNSIWLXGG
not attested
not anchored
not stored
refs pending
Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
arxiv:2605.17833 v1 · 2026-05-18 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7OVQLHQ7AQPIS5NCXHNSIWLXGG}
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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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 | 2026-05-20T00:05:00.735773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fbab059e1f041e8975a2b9db245977318aef06dda9f7c20d9ef5ee59be784624
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7OVQLHQ7AQPIS5NCXHNSIWLXGG \
| 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: fbab059e1f041e8975a2b9db245977318aef06dda9f7c20d9ef5ee59be784624
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e4b7c5c6e8b54f3501e3cf151f9ac4b3139648bae0684004b1bdfc98949b537",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-18T04:12:14Z",
"title_canon_sha256": "89914860336a3ce9d05a24c2ce68a80d9ab4e5b89c7ca7e630c6e94d61845688"
},
"schema_version": "1.0",
"source": {
"id": "2605.17833",
"kind": "arxiv",
"version": 1
}
}