Pith Number
pith:DMFMA7YY
pith:2021:DMFMA7YY32DIYBP5X7XNA3M354
not attested
not anchored
not stored
refs pending
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
arxiv:2112.05900 v1 · 2021-12-11 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMFMA7YY32DIYBP5X7XNA3M354}
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
✓
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 | 2026-07-05T03:40:08.007997Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b0ac07f18de868c05fdbfeed06d9bef3493b2fec4fed25d3febe0bb361bb376
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMFMA7YY32DIYBP5X7XNA3M354 \
| 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: 1b0ac07f18de868c05fdbfeed06d9bef3493b2fec4fed25d3febe0bb361bb376
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af738eb332bc83aed6fbdd8ca540bb5f48f250c8ce24fabdac4bb900e7cf596d",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-12-11T02:03:30Z",
"title_canon_sha256": "6cfbd81e61866c4600066ec0d4b898b89dcaa01a3e563d902633dfb37f02f91f"
},
"schema_version": "1.0",
"source": {
"id": "2112.05900",
"kind": "arxiv",
"version": 1
}
}