Pith Number
pith:HMQBSTCR
pith:2021:HMQBSTCR7TSGIRSA6NAIHOGJZA
not attested
not anchored
not stored
refs pending
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
arxiv:2107.04055 v1 · 2021-07-08 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HMQBSTCR7TSGIRSA6NAIHOGJZA}
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 | 2026-07-05T02:56:29.239758Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b20194c51fce4644640f34083b8c9c808fb7154169a4b61fecbff3522c2d4a8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HMQBSTCR7TSGIRSA6NAIHOGJZA \
| 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: 3b20194c51fce4644640f34083b8c9c808fb7154169a4b61fecbff3522c2d4a8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c4e344eae0c1952a9424140caeb9c420b76f575539c3a702ea4264afdf30a9e4",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-07-08T18:10:07Z",
"title_canon_sha256": "f6f0ac11568fdfa08916d2c1532ecefc8c37004e29b2f830ef0b16ec30c66a75"
},
"schema_version": "1.0",
"source": {
"id": "2107.04055",
"kind": "arxiv",
"version": 1
}
}