Pith Number
pith:P5FKNP4P
pith:2017:P5FKNP4P2ZJR2NTAESIBYWXJLM
not attested
not anchored
not stored
refs pending
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images
arxiv:1706.03702 v1 · 2017-06-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P5FKNP4P2ZJR2NTAESIBYWXJLM}
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 | 2026-05-18T00:24:04.387635Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f4aa6bf8fd6531d366024901c5ae95b15510f0297f9295b37d88ce3c5971c51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5FKNP4P2ZJR2NTAESIBYWXJLM \
| 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: 7f4aa6bf8fd6531d366024901c5ae95b15510f0297f9295b37d88ce3c5971c51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f5191f10deb4099749882383b5eff1ecad50e23f79a48488803ea0c3c3dbab1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-06-12T15:54:35Z",
"title_canon_sha256": "1048e96239863d23f7bf878cba95640fb4c738759731c70af539001fd1721b51"
},
"schema_version": "1.0",
"source": {
"id": "1706.03702",
"kind": "arxiv",
"version": 1
}
}