Pith Number
pith:OONDO3LD
pith:2018:OONDO3LDKKPEF3WCIZEAS66FT6
not attested
not anchored
not stored
refs pending
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks
arxiv:1812.01464 v2 · 2018-12-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OONDO3LDKKPEF3WCIZEAS66FT6}
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 | 2026-05-17T23:51:55.774398Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
739a376d63529e42eec24648097bc59fa16d2e8ec2f7dec791cd8f8ba6f3e6a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OONDO3LDKKPEF3WCIZEAS66FT6 \
| 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: 739a376d63529e42eec24648097bc59fa16d2e8ec2f7dec791cd8f8ba6f3e6a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "16f39d2b859840fad0bcdb11dbaa57551042995a22c6b9b804a252d727cf6da9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-04T14:49:39Z",
"title_canon_sha256": "c46f979b2d0decb7286f2272d46d69c5d0bec17b97e9578317de529c48dc1b46"
},
"schema_version": "1.0",
"source": {
"id": "1812.01464",
"kind": "arxiv",
"version": 2
}
}