Pith Number
pith:WJUMT2TF
pith:2019:WJUMT2TFHLZLKGN2PCOYPTST6K
not attested
not anchored
not stored
refs pending
A Superpixel Segmentation Based Technique for Multiple Sclerosis Lesion Detection
arxiv:1907.03109 v1 · 2019-07-06 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WJUMT2TFHLZLKGN2PCOYPTST6K}
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 | 2026-05-17T23:41:18.917544Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b268c9ea653af2b519ba789d87ce53f2b51f8f0eef8e2f057d0e03bc4d02914c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WJUMT2TFHLZLKGN2PCOYPTST6K \
| 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: b268c9ea653af2b519ba789d87ce53f2b51f8f0eef8e2f057d0e03bc4d02914c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28eccb4dd1e3e6fdc13564905972d94bcf2f04525876702d52ab874b707b266f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-07-06T10:26:16Z",
"title_canon_sha256": "28eccb4dd1e3e6fdc13564905972d94bcf2f04525876702d52ab874b707b266f"
},
"schema_version": "1.0",
"source": {
"id": "1907.03109",
"kind": "arxiv",
"version": 1
}
}