Pith Number
pith:S6MCQPFS
pith:2023:S6MCQPFSMKV5A2OBND7IQHSVUW
not attested
not anchored
not stored
refs pending
Clean Label Disentangling for Medical Image Segmentation with Noisy Labels
arxiv:2311.16580 v1 · 2023-11-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S6MCQPFSMKV5A2OBND7IQHSVUW}
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 | 2026-07-05T07:17:43.618773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9798283cb262abd069c168fe881e55a5a0efbcb431200971f470b171d1043e01
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S6MCQPFSMKV5A2OBND7IQHSVUW \
| 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: 9798283cb262abd069c168fe881e55a5a0efbcb431200971f470b171d1043e01
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "df0ca7ff1ecbba7eece84b3eb116ec02ffce877d56afbca2bb09001713b65026",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-11-28T07:54:27Z",
"title_canon_sha256": "a0aafa5c28fb331c874146a3117b30ef7648d79af72e1a9c87c3b19f187e6c11"
},
"schema_version": "1.0",
"source": {
"id": "2311.16580",
"kind": "arxiv",
"version": 1
}
}