Pith Number
pith:XGUFV6G5
pith:2019:XGUFV6G5VL4CKHMUNOWALMAX6A
not attested
not anchored
not stored
refs pending
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
arxiv:1905.10835 v1 · 2019-05-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XGUFV6G5VL4CKHMUNOWALMAX6A}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-17T23:45:03.628443Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9a85af8ddaaf8251d946bac05b017f014bc8a4ec85d5b74c86a077a032d4ecd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XGUFV6G5VL4CKHMUNOWALMAX6A \
| 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: b9a85af8ddaaf8251d946bac05b017f014bc8a4ec85d5b74c86a077a032d4ecd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6f9090795fda53da2313ed9a4e123c5de3de0b821e40a7ef46136d31405744aa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-05-26T16:39:04Z",
"title_canon_sha256": "9135edf840d8c1e01c9c96361c35d9041f06b1093db06ef3d58187c08713c0c9"
},
"schema_version": "1.0",
"source": {
"id": "1905.10835",
"kind": "arxiv",
"version": 1
}
}