Pith Number
pith:2NFFP3IK
pith:2024:2NFFP3IKB34VCJE4ZSWCGHQ2KL
not attested
not anchored
not stored
refs pending
Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models
arxiv:2402.01067 v1 · 2024-02-01 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2NFFP3IKB34VCJE4ZSWCGHQ2KL}
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 | 2026-07-05T07:40:30.218773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d34a57ed0a0ef951249cccac231e1a52fda6a58f8a5ce1f8f12d32fd55c3b986
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2NFFP3IKB34VCJE4ZSWCGHQ2KL \
| 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: d34a57ed0a0ef951249cccac231e1a52fda6a58f8a5ce1f8f12d32fd55c3b986
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41435a410ac5df4b21f6bd436b7210554d66d55627787e1316650d0bbd82de1c",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-02-01T23:53:12Z",
"title_canon_sha256": "db6b7800dac4e7d01d41fc93cd3372925d526088f6a60e412489a1ba619ec807"
},
"schema_version": "1.0",
"source": {
"id": "2402.01067",
"kind": "arxiv",
"version": 1
}
}