Pith Number
pith:HH2OXD5X
pith:2026:HH2OXD5XWTYSMEB7TY2ZR5APXZ
not attested
not anchored
not stored
refs pending
Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study
arxiv:2607.21866 v1 · 2026-07-23 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HH2OXD5XWTYSMEB7TY2ZR5APXZ}
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.
Receipt and verification
| First computed | 2026-07-27T00:20:25.049434Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39f4eb8fb7b4f126103f9e3598f40fbe5841bf5556f0fe1d82b68b1e79b0ea2b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HH2OXD5XWTYSMEB7TY2ZR5APXZ \
| 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: 39f4eb8fb7b4f126103f9e3598f40fbe5841bf5556f0fe1d82b68b1e79b0ea2b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c7c9f9a47476069256701260e38ef3b0b1e3f7d8c5f36ad9e253427177ce0a9",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-23T23:45:09Z",
"title_canon_sha256": "1c2aea9672584d36e3a6cfba5c7ca0dbf01473e388315487dab26092e6b042a0"
},
"schema_version": "1.0",
"source": {
"id": "2607.21866",
"kind": "arxiv",
"version": 1
}
}