Pith Number
pith:L27KUDDZ
pith:2020:L27KUDDZTY6ZBMBQHO4ITT2ZK2
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not stored
refs pending
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools
arxiv:2009.03184 v1 · 2020-09-04 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L27KUDDZTY6ZBMBQHO4ITT2ZK2}
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
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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 | 2026-07-05T01:33:29.941833Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ebeaa0c799e3d90b0303bb889cf59568b1332efbdbc152b3405fffb7c2096cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L27KUDDZTY6ZBMBQHO4ITT2ZK2 \
| 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: 5ebeaa0c799e3d90b0303bb889cf59568b1332efbdbc152b3405fffb7c2096cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98c0419d59ad0702c3c83ea7a3db84dafb2139376c9ef6e1c969ec6b29492a43",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-09-04T00:50:27Z",
"title_canon_sha256": "c3a02b3d2b7f7e2a855e81449ab62771b8afc52c23b077476e2a2efa4c71733a"
},
"schema_version": "1.0",
"source": {
"id": "2009.03184",
"kind": "arxiv",
"version": 1
}
}