Pith Number
pith:75FGIQ72
pith:2025:75FGIQ725WTTGOMKFPRVLMMGL4
not attested
not anchored
not stored
refs pending
Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification
arxiv:2503.07966 v1 · 2025-03-11 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{75FGIQ725WTTGOMKFPRVLMMGL4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:28:47.612229Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff4a6443faeda733398a2be355b1865f12f71ce01e248b882dc72d4bfcca15f1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/75FGIQ725WTTGOMKFPRVLMMGL4 \
| 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: ff4a6443faeda733398a2be355b1865f12f71ce01e248b882dc72d4bfcca15f1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "74d93499e2cf2c0f5c1553ab912da8554ae2ee64dcd395be426740ec1fb3c302",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-03-11T01:45:42Z",
"title_canon_sha256": "26159406f23424c30c1754f0d3ef88ea89904d2be62990d5248658d825c2d128"
},
"schema_version": "1.0",
"source": {
"id": "2503.07966",
"kind": "arxiv",
"version": 1
}
}