Pith Number
pith:KPHITSEZ
pith:2018:KPHITSEZ66OWDFD7VNCZK26IDS
not attested
not anchored
not stored
refs pending
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
arxiv:1809.05831 v2 · 2018-09-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPHITSEZ66OWDFD7VNCZK26IDS}
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 | 2026-05-18T00:03:14.875751Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53ce89c899f79d61947fab45956bc81c84edab319041df3a6d351e5f0fb1383c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPHITSEZ66OWDFD7VNCZK26IDS \
| 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: 53ce89c899f79d61947fab45956bc81c84edab319041df3a6d351e5f0fb1383c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd5d7c8e69612fb04e7de80c9200498016e4c2398b4856e0e9e8caf1fabeadf7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-09-16T07:55:51Z",
"title_canon_sha256": "89f0219da23dd07ef9c9f1360dc0a51b9cea2ebca8b6780e7ccfdf5016a382eb"
},
"schema_version": "1.0",
"source": {
"id": "1809.05831",
"kind": "arxiv",
"version": 2
}
}