Pith Number
pith:VJM24G4M
pith:2018:VJM24G4MEQSOL64YZJE7U6LT75
not attested
not anchored
not stored
refs pending
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
arxiv:1805.10720 v4 · 2018-05-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJM24G4MEQSOL64YZJE7U6LT75}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-17T23:52:07.620827Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa59ae1b8c2424e5fb98ca49fa7973ff5efa9803d3b0f4dabea59567c8895ad3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJM24G4MEQSOL64YZJE7U6LT75 \
| 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: aa59ae1b8c2424e5fb98ca49fa7973ff5efa9803d3b0f4dabea59567c8895ad3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fcaf33625eb535fa43ec57fa9d887d39f664216a95762ec099973f9532c0395c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-28T00:28:56Z",
"title_canon_sha256": "179e42e8290a7da7ced112fd4ae0c57d2bc9c1225fa56112199b77bc34347f0e"
},
"schema_version": "1.0",
"source": {
"id": "1805.10720",
"kind": "arxiv",
"version": 4
}
}