Pith Number
pith:55BLN5O7
pith:2016:55BLN5O7DERHDANU2T6E24J22U
not attested
not anchored
not stored
refs pending
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
arxiv:1610.02177 v1 · 2016-10-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{55BLN5O7DERHDANU2T6E24J22U}
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 | 2026-05-18T00:50:29.092093Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef42b6f5df19227181b4d4fc4d713ad50c746f1cc55b2b953772d0bfb58e8531
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/55BLN5O7DERHDANU2T6E24J22U \
| 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: ef42b6f5df19227181b4d4fc4d713ad50c746f1cc55b2b953772d0bfb58e8531
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e36e2e7b159a1a0b9ae97e4026d96c39a17082369e8f3cd6b23e0189bc150d3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-10-07T08:23:32Z",
"title_canon_sha256": "b9141acdab8336dd88ae6b9a4046153972f2ab419fc1b52be62fb32e2a5d312f"
},
"schema_version": "1.0",
"source": {
"id": "1610.02177",
"kind": "arxiv",
"version": 1
}
}