Pith Number
pith:OLDR2TML
pith:2021:OLDR2TMLOA4YM6PHVW6UKTNCMK
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refs pending
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
arxiv:2111.00528 v2 · 2021-10-31 · eess.IV · cs.AI · cs.CV · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OLDR2TMLOA4YM6PHVW6UKTNCMK}
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Record completeness
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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 | 2026-07-05T05:12:09.312368Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72c71d4d8b70398679e7adbd454da2628c416c10d6c610639671b589df5a3e4f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OLDR2TMLOA4YM6PHVW6UKTNCMK \
| 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: 72c71d4d8b70398679e7adbd454da2628c416c10d6c610639671b589df5a3e4f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c0e539a115610a8aeb3ae1d3a75156f83f9dab42b018ded0f5b18ea6428b230f",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-10-31T16:02:02Z",
"title_canon_sha256": "e106b078a5303f95dba837507d5bbddf671e23132f76ca6b1bb49126fa4a34d0"
},
"schema_version": "1.0",
"source": {
"id": "2111.00528",
"kind": "arxiv",
"version": 2
}
}