Pith Number
pith:HJURTVKH
pith:2018:HJURTVKHTSULQHMX4LXC72JXOR
not attested
not anchored
not stored
refs pending
Deep learning and its application to medical image segmentation
arxiv:1803.08691 v1 · 2018-03-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HJURTVKHTSULQHMX4LXC72JXOR}
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 | 2026-05-18T00:19:02.100697Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a6919d5479ca8b81d97e2ee2fe9377472cc0604db97a54a795c6b00e5d882cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJURTVKHTSULQHMX4LXC72JXOR \
| 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: 3a6919d5479ca8b81d97e2ee2fe9377472cc0604db97a54a795c6b00e5d882cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d6337f76298f6ad42e278b08e141e1719e805cc57aa65c87f8b3546c2d3f86d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-23T08:55:10Z",
"title_canon_sha256": "8d0d08794b00f86873e6393847725ab2bae03ff07ffeed1e3b65d8728e08b233"
},
"schema_version": "1.0",
"source": {
"id": "1803.08691",
"kind": "arxiv",
"version": 1
}
}