Pith Number
pith:XFRNPXSS
pith:2024:XFRNPXSSJLSYPUSYVGPA2PYP5W
not attested
not anchored
not stored
refs pending
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
arxiv:2409.03470 v1 · 2024-09-05 · cs.CV · cs.AI · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XFRNPXSSJLSYPUSYVGPA2PYP5W}
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 | 2026-07-05T09:03:31.848174Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b962d7de524ae587d258a99e0d3f0feda75cf090a84fe5bb1ddc5ebc521acb08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XFRNPXSSJLSYPUSYVGPA2PYP5W \
| 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: b962d7de524ae587d258a99e0d3f0feda75cf090a84fe5bb1ddc5ebc521acb08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "77feace8cc046f3fe6ba8b2085f3aa53b142bd58812a6f2e925294f0a54ebacf",
"cross_cats_sorted": [
"cs.AI",
"cs.HC",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-05T12:31:51Z",
"title_canon_sha256": "48b0f1d39770cfa6336ea235061155b9fd12eca8c9bf4685a8cd6d1b426800c6"
},
"schema_version": "1.0",
"source": {
"id": "2409.03470",
"kind": "arxiv",
"version": 1
}
}