Pith Number
pith:BVY7HORM
pith:2023:BVY7HORMBEVNJG4XDY7ZDG3HI7
not attested
not anchored
not stored
refs pending
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
arxiv:2306.10622 v1 · 2023-06-18 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVY7HORMBEVNJG4XDY7ZDG3HI7}
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 | 2026-07-05T06:22:09.395997Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d71f3ba2c092ad49b971e3f919b6747d64bdd258d8ae83476dc4a11543c8c17
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVY7HORMBEVNJG4XDY7ZDG3HI7 \
| 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: 0d71f3ba2c092ad49b971e3f919b6747d64bdd258d8ae83476dc4a11543c8c17
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c7cf7047cc415749998cfd597b02d383a37a98ae3de9366d2458fcd16651b51",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-06-18T19:16:19Z",
"title_canon_sha256": "a952cd067f8f414b7fa9896385297a056d3ad336413cd468de26d33c7bc5a392"
},
"schema_version": "1.0",
"source": {
"id": "2306.10622",
"kind": "arxiv",
"version": 1
}
}