Pith Number
pith:5OXEOLR2
pith:2019:5OXEOLR2WAL67RH4PEGLTJ7WNC
not attested
not anchored
not stored
refs pending
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
arxiv:1904.10030 v1 · 2019-04-22 · eess.IV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5OXEOLR2WAL67RH4PEGLTJ7WNC}
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 | 2026-05-17T23:47:55.238409Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ebae472e3ab017efc4fc790cb9a7f668a8f29bbf9c9258d704810d0e9d7ecf5b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5OXEOLR2WAL67RH4PEGLTJ7WNC \
| 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: ebae472e3ab017efc4fc790cb9a7f668a8f29bbf9c9258d704810d0e9d7ecf5b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "acc033be11b849adb381c89417d88266a7f6a539ffa582317b3182c6d6562c9b",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-04-22T18:55:05Z",
"title_canon_sha256": "fb91cb0f470362c91f223cf64892671fa7fc4ae078abeaac3f1dbc5c8ccadb11"
},
"schema_version": "1.0",
"source": {
"id": "1904.10030",
"kind": "arxiv",
"version": 1
}
}