Pith Number
pith:FODSE3QE
pith:2022:FODSE3QEHQUANZPLLTN6JAXT4Q
not attested
not anchored
not stored
refs pending
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
arxiv:2210.07936 v1 · 2022-10-14 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FODSE3QEHQUANZPLLTN6JAXT4Q}
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 | 2026-07-05T05:06:42.588452Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b87226e043c2806e5eb5cdbe482f3e431884189f482a8d7f0592a8de477710f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FODSE3QEHQUANZPLLTN6JAXT4Q \
| 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: 2b87226e043c2806e5eb5cdbe482f3e431884189f482a8d7f0592a8de477710f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3134005cb8bc9065118a014d28156f9e70d914f1eb3abfa1a20754c23f05fd8e",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-10-14T16:34:05Z",
"title_canon_sha256": "8221ea6cca82fee6b348e5abff2316c909ace3f15eb23ddac15894a97cb6b39f"
},
"schema_version": "1.0",
"source": {
"id": "2210.07936",
"kind": "arxiv",
"version": 1
}
}