Pith Number
pith:IQWTTH7E
pith:2016:IQWTTH7EY7D5V6FJLAOUL4XEY2
not attested
not anchored
not stored
refs pending
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut
arxiv:1605.03012 v1 · 2016-05-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQWTTH7EY7D5V6FJLAOUL4XEY2}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T01:15:07.892142Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
442d399fe4c7c7daf8a9581d45f2e4c6971105b781524143973e2a60e3d7b671
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQWTTH7EY7D5V6FJLAOUL4XEY2 \
| 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: 442d399fe4c7c7daf8a9581d45f2e4c6971105b781524143973e2a60e3d7b671
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "afbbee6bf55c4378a068f778cc9c2ee8c7290befa444b5e6cdc13a507100b7a0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-05-10T13:42:51Z",
"title_canon_sha256": "d9f66cc9c2771b2e226431ba40f43701f34192a7658b4c792ee1d2cf06571d5d"
},
"schema_version": "1.0",
"source": {
"id": "1605.03012",
"kind": "arxiv",
"version": 1
}
}