Pith Number
pith:Q663T3TE
pith:2017:Q663T3TEGNK5LF4BKZABDSYE6A
not attested
not anchored
not stored
refs pending
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
arxiv:1703.01622 v2 · 2017-03-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q663T3TEGNK5LF4BKZABDSYE6A}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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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 | 2026-05-18T00:34:41.830223Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
87bdb9ee643355d59781564011cb04f01382192cf5caae7417f4ea1d2cace679
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q663T3TEGNK5LF4BKZABDSYE6A \
| 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: 87bdb9ee643355d59781564011cb04f01382192cf5caae7417f4ea1d2cace679
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d336e8a0b501850171676f7efc42723be96b27651a224a86aa5d176192b6beda",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-05T16:48:01Z",
"title_canon_sha256": "e2b2a2fb599f6acb55aa665be7adfc0c2c6242e33f852ff28c7900f72a5bde45"
},
"schema_version": "1.0",
"source": {
"id": "1703.01622",
"kind": "arxiv",
"version": 2
}
}