Pith Number
pith:ANZ5MMKM
pith:2018:ANZ5MMKMYHKESC3KKVDHZRW5AR
not attested
not anchored
not stored
refs pending
Factorised spatial representation learning: application in semi-supervised myocardial segmentation
arxiv:1803.07031 v2 · 2018-03-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ANZ5MMKMYHKESC3KKVDHZRW5AR}
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 | 2026-07-05T00:55:54.647624Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0373d6314cc1d4490b6a55467cc6dd0464c6d3bf211e353b2b18c4d6f5eea28b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ANZ5MMKMYHKESC3KKVDHZRW5AR \
| 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: 0373d6314cc1d4490b6a55467cc6dd0464c6d3bf211e353b2b18c4d6f5eea28b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a17432cbb0e5c1d69d4cdb0146131e2357d06bc3c547847bd15d30fb5a78b5cd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-19T16:44:00Z",
"title_canon_sha256": "e68d1143c05e592b688cb3094f9be11cb64a5a6a7212cc79f6a29423ba7fce0e"
},
"schema_version": "1.0",
"source": {
"id": "1803.07031",
"kind": "arxiv",
"version": 2
}
}