Pith Number
pith:JYQP6YP3
pith:2022:JYQP6YP3XY4LQCPE5ABP4PJRXQ
not attested
not anchored
not stored
refs pending
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
arxiv:2203.10611 v1 · 2022-03-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JYQP6YP3XY4LQCPE5ABP4PJRXQ}
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 | 2026-07-05T04:06:55.064332Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e20ff61fbbe38b809e4e802fe3d31bc1619ef863da7a8f52c3ddba114a22b0a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JYQP6YP3XY4LQCPE5ABP4PJRXQ \
| 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: 4e20ff61fbbe38b809e4e802fe3d31bc1619ef863da7a8f52c3ddba114a22b0a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "85bfcf379521e5647ad7e881fb203f179e45b2d2ddb1ac5575a1cdfac7b5fc36",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-03-20T17:57:26Z",
"title_canon_sha256": "cbf09507efa84ead864cb5b079c5e7df531aa03fae265879f39d2a24904ae975"
},
"schema_version": "1.0",
"source": {
"id": "2203.10611",
"kind": "arxiv",
"version": 1
}
}