Pith Number
pith:GDPCM6HD
pith:2025:GDPCM6HDBW65B65AJVP62TVJAN
not attested
not anchored
not stored
refs pending
Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI
arxiv:2501.02287 v1 · 2025-01-04 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GDPCM6HDBW65B65AJVP62TVJAN}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:57:05.370110Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30de2678e30dbdd0fba04d5fed4ea90360da260861dd8fe882b6cebea39d6de0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GDPCM6HDBW65B65AJVP62TVJAN \
| 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: 30de2678e30dbdd0fba04d5fed4ea90360da260861dd8fe882b6cebea39d6de0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f2ed4e7f8f4d04138c37bcc97c86e6cf458a3d99aa67c42e2e45390584ec7f43",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-01-04T13:38:06Z",
"title_canon_sha256": "0116c9222d1d77690e06dafa41b929a23225d3f2d59ace01d1691e537e7d5a20"
},
"schema_version": "1.0",
"source": {
"id": "2501.02287",
"kind": "arxiv",
"version": 1
}
}