Pith Number
pith:3JMIMX6S
pith:2023:3JMIMX6SFNS6GJJRNGJGIP7KIP
not attested
not anchored
not stored
refs pending
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects
arxiv:2311.02332 v5 · 2023-11-04 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3JMIMX6SFNS6GJJRNGJGIP7KIP}
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
· sign in to
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 | 2026-07-05T07:35:40.737750Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da58865fd22b65e325316992643fea43e7a3d46d8415280c59884ed7d2e94bea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3JMIMX6SFNS6GJJRNGJGIP7KIP \
| 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: da58865fd22b65e325316992643fea43e7a3d46d8415280c59884ed7d2e94bea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a51410256f949ba58548dc80bd53c5ce3c00c9562a912b6f869aba85c09a1b4",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-04T05:42:51Z",
"title_canon_sha256": "1a1d7811d687a729201f0cad2455c21780b1da4050f317ce6ce6dbe37a016a38"
},
"schema_version": "1.0",
"source": {
"id": "2311.02332",
"kind": "arxiv",
"version": 5
}
}