Pith Number
pith:3I5Z3DVQ
pith:2022:3I5Z3DVQ3SNPDWEMSKKTY4SM3H
not attested
not anchored
not stored
refs pending
Cellular Segmentation and Composition in Routine Histology Images using Deep Learning
arxiv:2203.02510 v1 · 2022-03-04 · q-bio.QM · cs.CV · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3I5Z3DVQ3SNPDWEMSKKTY4SM3H}
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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 | 2026-07-05T04:02:24.189998Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da3b9d8eb0dc9af1d88c92953c724cd9f58d7a503ca02ab4d1d55218cf5b483b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3I5Z3DVQ3SNPDWEMSKKTY4SM3H \
| 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: da3b9d8eb0dc9af1d88c92953c724cd9f58d7a503ca02ab4d1d55218cf5b483b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1e994238bfc37d48e1715855cc765eeab1af10a0792e08ef2f06cdb0f8c08d75",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2022-03-04T15:03:53Z",
"title_canon_sha256": "fb3607e518748eedc48bf6727ce8ca5f28b9b22ed71f7d8d76305106571313c5"
},
"schema_version": "1.0",
"source": {
"id": "2203.02510",
"kind": "arxiv",
"version": 1
}
}