Pith Number
pith:6WI6KHNS
pith:2021:6WI6KHNSRQQDSASY2DIZ62WHRM
not attested
not anchored
not stored
refs pending
Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images
arxiv:2102.06535 v1 · 2021-02-08 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6WI6KHNSRQQDSASY2DIZ62WHRM}
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 | 2026-07-05T04:03:44.704705Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f591e51db28c20390258d0d19f6ac78b2bd87e8d3fbf03ced2bc8a84811d31b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6WI6KHNSRQQDSASY2DIZ62WHRM \
| 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: f591e51db28c20390258d0d19f6ac78b2bd87e8d3fbf03ced2bc8a84811d31b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f5caeba63a70907b357cbdcdecce241b21a17a755e6b81781151fd9dfe21b48",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-02-08T18:22:53Z",
"title_canon_sha256": "cf1977c61201471dd55aa628dec31178f0e81509149a61caa53ebdaa0fb3ef85"
},
"schema_version": "1.0",
"source": {
"id": "2102.06535",
"kind": "arxiv",
"version": 1
}
}