Pith Number
pith:JKTNM3U7
pith:2019:JKTNM3U7TPZMPA7P3MU4YLA7UT
not attested
not anchored
not stored
refs pending
Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks
arxiv:1908.04250 v3 · 2019-08-12 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JKTNM3U7TPZMPA7P3MU4YLA7UT}
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 | 2026-07-05T01:02:03.600138Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4aa6d66e9f9bf2c783efdb29cc2c1fa4ea1531a33844dc409205969f581e84ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JKTNM3U7TPZMPA7P3MU4YLA7UT \
| 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: 4aa6d66e9f9bf2c783efdb29cc2c1fa4ea1531a33844dc409205969f581e84ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "565f07fbb16cca60cf19fac508818f4e01b873e774076785a3b264bea21cd175",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-08-12T16:58:50Z",
"title_canon_sha256": "b99cedab4d21fa607c314154e04ea8b5b468617452c75c993b8cdbd540645c53"
},
"schema_version": "1.0",
"source": {
"id": "1908.04250",
"kind": "arxiv",
"version": 3
}
}