Pith Number
pith:ZV57YGUX
pith:2018:ZV57YGUXAHTCZTZ644YHET25E5
not attested
not anchored
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refs pending
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches
arxiv:1811.03447 v1 · 2018-11-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZV57YGUXAHTCZTZ644YHET25E5}
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 | 2026-05-18T00:01:16.165950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd7bfc1a9701e62ccf3ee730724f5d274d0c878719b66a0c5a12ab661eae4edf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZV57YGUXAHTCZTZ644YHET25E5 \
| 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: cd7bfc1a9701e62ccf3ee730724f5d274d0c878719b66a0c5a12ab661eae4edf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca5f066d3adb1954325879afe61d9c27cefee6f2bae8adda87ecb78ce34e4248",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-08T14:34:43Z",
"title_canon_sha256": "86e61e9e28a9b7e0130b67d99717fdb4627eb7d73cfd999b4418162804d4ab0c"
},
"schema_version": "1.0",
"source": {
"id": "1811.03447",
"kind": "arxiv",
"version": 1
}
}