Pith Number
pith:RSNP4MYE
pith:2018:RSNP4MYE4AI5J53G634FS7ANZN
not attested
not anchored
not stored
refs pending
Unsupervised learning for concept detection in medical images: a comparative analysis
arxiv:1805.01803 v1 · 2018-05-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RSNP4MYE4AI5J53G634FS7ANZN}
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 | 2026-05-18T00:09:59.441109Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8c9afe3304e011d4f766f6f8597c0dcb7f1b8ea3f4208c82330dc772cc39b84d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RSNP4MYE4AI5J53G634FS7ANZN \
| 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: 8c9afe3304e011d4f766f6f8597c0dcb7f1b8ea3f4208c82330dc772cc39b84d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e7d08e76efc01b444b09470285daec90970eeb71bc8d67876299e1e4313d7f4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-04T14:36:09Z",
"title_canon_sha256": "f51c4653edf2b6a1af00f8480638053d04e7f874219056db66e1e6846854ed98"
},
"schema_version": "1.0",
"source": {
"id": "1805.01803",
"kind": "arxiv",
"version": 1
}
}