Pith Number
pith:YZZRL5L5
pith:2018:YZZRL5L5IRNLPH4PWR2YX2DWT5
not attested
not anchored
not stored
refs pending
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
arxiv:1806.07131 v1 · 2018-06-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YZZRL5L5IRNLPH4PWR2YX2DWT5}
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 | 2026-05-18T00:12:51.760769Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c67315f57d445ab79f8fb4758be8769f743cefb8eeb552807db7d126eab55a6c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YZZRL5L5IRNLPH4PWR2YX2DWT5 \
| 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: c67315f57d445ab79f8fb4758be8769f743cefb8eeb552807db7d126eab55a6c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6b1e57020cb4ff599fbe9ca6fa3ec8c2bc0391414e05e67e5954291b620ed7f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-06-19T09:43:55Z",
"title_canon_sha256": "169c248ffce844c55ef44a4a3078ba560aef55c6f7771dc4596a069a2e075911"
},
"schema_version": "1.0",
"source": {
"id": "1806.07131",
"kind": "arxiv",
"version": 1
}
}