Pith Number
pith:B5J5HKAJ
pith:2026:B5J5HKAJCUSAZ3QDXRCFBMM5NX
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Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis
arxiv:2602.11973 v2 · 2026-02-12 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5J5HKAJCUSAZ3QDXRCFBMM5NX}
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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.
Receipt and verification
| First computed | 2026-06-23T02:13:21.081865Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f53d3a80915240cee03bc4450b19d6dfcfd39f6e192d844cd06b402799293fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5J5HKAJCUSAZ3QDXRCFBMM5NX \
| 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: 0f53d3a80915240cee03bc4450b19d6dfcfd39f6e192d844cd06b402799293fe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e9bfbb57fa23ae9ebe613b61a7b51ff9e235555dbe6ad89ce2827d687c00648",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-02-12T14:03:41Z",
"title_canon_sha256": "b9cdab932595bb72516f8aab950fc0ed0edb43600f06be188a3d4331c6c22b00"
},
"schema_version": "1.0",
"source": {
"id": "2602.11973",
"kind": "arxiv",
"version": 2
}
}