Pith Number
pith:MSOJ5VOI
pith:2025:MSOJ5VOI3PLW5AKBQVXJKZLE2M
not attested
not anchored
not stored
refs pending
AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data
arxiv:2508.02625 v1 · 2025-08-04 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MSOJ5VOI3PLW5AKBQVXJKZLE2M}
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
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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.
Receipt and verification
| First computed | 2026-07-05T11:48:17.508503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
649c9ed5c8dbd76e8141856e956564d3250ffea4798c474aa33f4e43e4e52e95
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MSOJ5VOI3PLW5AKBQVXJKZLE2M \
| 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: 649c9ed5c8dbd76e8141856e956564d3250ffea4798c474aa33f4e43e4e52e95
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab72bbff93629e5ce1b158ac8fa68d8f01de4eefbbaa5ccb705cf57ad6411418",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-04T17:13:45Z",
"title_canon_sha256": "527a3a5fb573ff5fc436ca8f4664c27f3729c60449ba584d4d11c878f7230d1b"
},
"schema_version": "1.0",
"source": {
"id": "2508.02625",
"kind": "arxiv",
"version": 1
}
}