Pith Number
pith:7BMDA7JE
pith:2018:7BMDA7JEOHC2N3E6XSEN4NJJDF
not attested
not anchored
not stored
refs pending
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation
arxiv:1807.07464 v1 · 2018-07-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7BMDA7JEOHC2N3E6XSEN4NJJDF}
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 | 2026-05-18T00:10:20.093261Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f858307d2471c5a6ec9ebc88de35291979838a65da5c412d3b3ee16c5b71c700
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7BMDA7JEOHC2N3E6XSEN4NJJDF \
| 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: f858307d2471c5a6ec9ebc88de35291979838a65da5c412d3b3ee16c5b71c700
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d14d421314aee3fc9adcca13fbd3b7a320bd59767564d5831f1c0ab8e5e0f2a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-19T14:37:43Z",
"title_canon_sha256": "65aee323d96efbebe4f5b1f73c176499e2b209d5ea0f3349023b34b2fffbce2b"
},
"schema_version": "1.0",
"source": {
"id": "1807.07464",
"kind": "arxiv",
"version": 1
}
}