Pith Number
pith:EJQDGA65
pith:2016:EJQDGA65TY6JFR7DPCR4VSZJTJ
not attested
not anchored
not stored
refs pending
Incorporating prior knowledge in medical image segmentation: a survey
arxiv:1607.01092 v1 · 2016-07-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EJQDGA65TY6JFR7DPCR4VSZJTJ}
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 | 2026-05-18T01:11:30.170370Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
22603303dd9e3c92c7e378a3cacb299a71a59d6f040ff07437a51d9e770162d9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJQDGA65TY6JFR7DPCR4VSZJTJ \
| 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: 22603303dd9e3c92c7e378a3cacb299a71a59d6f040ff07437a51d9e770162d9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10bf3dc6c2e807202603361b4105a50098c69c573be547ebfbb808409c78d485",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-07-05T02:19:57Z",
"title_canon_sha256": "561a8ccb4e4160d000ce28098d2b91d5a1b9d7483a7e58c21ee5be9d0861f65d"
},
"schema_version": "1.0",
"source": {
"id": "1607.01092",
"kind": "arxiv",
"version": 1
}
}