Pith Number
pith:4CXX3IMH
pith:2024:4CXX3IMHC5ATMZMOEVLRAHTLSE
not attested
not anchored
not stored
refs pending
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
arxiv:2412.04749 v1 · 2024-12-06 · cs.CV · cs.LG · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4CXX3IMHC5ATMZMOEVLRAHTLSE}
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 | 2026-07-05T09:45:23.206998Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e0af7da187174136658e2557101e6b913c8c35030f82a4523cb43077072a1e78
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4CXX3IMHC5ATMZMOEVLRAHTLSE \
| 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: e0af7da187174136658e2557101e6b913c8c35030f82a4523cb43077072a1e78
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1609488d02494829628ba6e44881ed86c14326716f0c36f99ed482b0ae9e162",
"cross_cats_sorted": [
"cs.LG",
"q-bio.QM"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-06T03:25:01Z",
"title_canon_sha256": "de8c4782437179b5dc1ee3e1da3365962614fbc977356246fff5ee4d07907815"
},
"schema_version": "1.0",
"source": {
"id": "2412.04749",
"kind": "arxiv",
"version": 1
}
}