Pith Number
pith:HIWLTN6V
pith:2026:HIWLTN6VCSXY5RLAXJMH4DSOP5
not attested
not anchored
not stored
refs pending
Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI
arxiv:2601.20503 v2 · 2026-01-28 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HIWLTN6VCSXY5RLAXJMH4DSOP5}
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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 | 2026-06-09T02:08:37.710721Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a2cb9b7d514af8ec560ba587e0e4e7f74af56b88eec5135658ba6d2b5d202d3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HIWLTN6VCSXY5RLAXJMH4DSOP5 \
| 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: 3a2cb9b7d514af8ec560ba587e0e4e7f74af56b88eec5135658ba6d2b5d202d3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "75763a97cb3dad6ac72997e74c4538cf5cebf6f995bd9814c62ef3a6d98d064b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-01-28T11:27:13Z",
"title_canon_sha256": "fd491a304fa3f4069cfb8821c4f8e94f5498ea1f4817eff8546013899d150113"
},
"schema_version": "1.0",
"source": {
"id": "2601.20503",
"kind": "arxiv",
"version": 2
}
}