Pith Number
pith:BBDXMLEQ
pith:2025:BBDXMLEQBFVT564VZKK77JMBSP
not attested
not anchored
not stored
refs pending
Statistical Management of the False Discovery Rate in Medical Instance Segmentation Based on Conformal Risk Control
arxiv:2504.04482 v2 · 2025-04-06 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BBDXMLEQBFVT564VZKK77JMBSP}
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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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:54:45.857749Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0847762c90096b3efb95ca95ffa58193dff0c5c89cb5572b07aba62aaece9e21
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BBDXMLEQBFVT564VZKK77JMBSP \
| 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: 0847762c90096b3efb95ca95ffa58193dff0c5c89cb5572b07aba62aaece9e21
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6f9242120b9923b03e7a20b2f09376e251503bd9b5f184308f2f5f495762a851",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-06T13:31:19Z",
"title_canon_sha256": "155cb0a2ac392280bb77a899ca64d616d7fdd05a6c6ea15d37aa9373364eb544"
},
"schema_version": "1.0",
"source": {
"id": "2504.04482",
"kind": "arxiv",
"version": 2
}
}