Pith Number
pith:Z44EBYF7
pith:2025:Z44EBYF7CDIC5GHFIY3JJHUT5S
not attested
not anchored
not stored
refs pending
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
arxiv:2503.01314 v1 · 2025-03-03 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z44EBYF7CDIC5GHFIY3JJHUT5S}
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 | 2026-07-05T10:23:04.394086Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cf3840e0bf10d02e98e54636949e93eca0aa5d390b0615edc2a7b43aae5d89e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z44EBYF7CDIC5GHFIY3JJHUT5S \
| 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: cf3840e0bf10d02e98e54636949e93eca0aa5d390b0615edc2a7b43aae5d89e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "715991521163caae61b7b58294d6e1b6bf54eab82030a529db2156e0c227c28a",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-03T08:57:49Z",
"title_canon_sha256": "3f22600e309732c90db5c8c7f955139af6b35fdb1f6113250f1f7cce602c086f"
},
"schema_version": "1.0",
"source": {
"id": "2503.01314",
"kind": "arxiv",
"version": 1
}
}