Pith Number
pith:6DIJID6Y
pith:2024:6DIJID6YXDWE5W6YO2FI2TZX5G
not attested
not anchored
not stored
refs pending
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
arxiv:2412.14474 v1 · 2024-12-19 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6DIJID6YXDWE5W6YO2FI2TZX5G}
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 | 2026-07-05T09:51:47.818138Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0d0940fd8b8ec4edbd8768a8d4f37e9a65a53ad865d34a02ae0197d58cbd6cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6DIJID6YXDWE5W6YO2FI2TZX5G \
| 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: f0d0940fd8b8ec4edbd8768a8d4f37e9a65a53ad865d34a02ae0197d58cbd6cb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3198bda99a118860917681604faacea6c78662bc6b99d19108516645f8fc805",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-19T02:47:39Z",
"title_canon_sha256": "fa1ba59e6b48ac0502b8b9c7638271463c652de83dc7f739ab566bcc81781b86"
},
"schema_version": "1.0",
"source": {
"id": "2412.14474",
"kind": "arxiv",
"version": 1
}
}