Pith Number
pith:BW2B63UL
pith:2021:BW2B63ULI6Z27GIZQYFRRFSXCG
not attested
not anchored
not stored
refs pending
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks
arxiv:2104.10705 v1 · 2021-04-21 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BW2B63ULI6Z27GIZQYFRRFSXCG}
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 | 2026-07-05T02:34:13.607941Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0db41f6e8b47b3af9919860b18965711a323c48eee605a8741563a93a7db6419
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BW2B63ULI6Z27GIZQYFRRFSXCG \
| 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: 0db41f6e8b47b3af9919860b18965711a323c48eee605a8741563a93a7db6419
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ba2dbe31f178593f30360159eb237f956dfbfd9df219b65388536c416d37a964",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-04-21T18:06:26Z",
"title_canon_sha256": "c8a9a2bfc298202f4bc7758d102854fd15a8ddbe0ef0aac2bf61cb3f84d5ac1c"
},
"schema_version": "1.0",
"source": {
"id": "2104.10705",
"kind": "arxiv",
"version": 1
}
}