Pith Number
pith:FMMCNCHH
pith:2024:FMMCNCHH7HRWUTUCGJ5YZXA65H
not attested
not anchored
not stored
refs pending
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records
arxiv:2412.10955 v1 · 2024-12-14 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FMMCNCHH7HRWUTUCGJ5YZXA65H}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:49:24.989962Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b182688e7f9e36a4e82327b8cdc1ee9f072dc025b93b4c5b9ffd852d3999f9d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FMMCNCHH7HRWUTUCGJ5YZXA65H \
| 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: 2b182688e7f9e36a4e82327b8cdc1ee9f072dc025b93b4c5b9ffd852d3999f9d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5561ffdc6c3bf830726c682a3f06488dba9657d088744ec85f5205397c6acb85",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-14T20:18:16Z",
"title_canon_sha256": "d7dc44dfe7b15f6621c151292f7dbb01d771ce6c47a8bfcfe342ceab16256576"
},
"schema_version": "1.0",
"source": {
"id": "2412.10955",
"kind": "arxiv",
"version": 1
}
}