Pith Number
pith:4CSKQDW4
pith:2018:4CSKQDW4EXYU7466DLRLGQD66F
not attested
not anchored
not stored
refs pending
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
arxiv:1808.00273 v1 · 2018-08-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4CSKQDW4EXYU7466DLRLGQD66F}
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
· 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 | 2026-05-18T00:09:06.638665Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e0a4a80edc25f14ff3de1ae2b3407ef161ad58cc09a5855c666340178015bc65
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4CSKQDW4EXYU7466DLRLGQD66F \
| 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: e0a4a80edc25f14ff3de1ae2b3407ef161ad58cc09a5855c666340178015bc65
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0abfdd87cdabd9d903ab83afb8ee39825248020ee1426c0d2930a8d4343d4c68",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-08-01T11:20:54Z",
"title_canon_sha256": "4e9396ee3951a3297ff30d521d824e4f7450510603fd43a29798afc5d7f777c8"
},
"schema_version": "1.0",
"source": {
"id": "1808.00273",
"kind": "arxiv",
"version": 1
}
}