Pith Number
pith:ZTSAZ4ML
pith:2023:ZTSAZ4ML2EQFAOUS7Q2XGBEYQY
not attested
not anchored
not stored
refs pending
Benign Overfitting in Deep Neural Networks under Lazy Training
arxiv:2305.19377 v1 · 2023-05-30 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZTSAZ4ML2EQFAOUS7Q2XGBEYQY}
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 | 2026-07-05T06:15:49.504436Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cce40cf18bd120503a92fc35730498860a2dd1e0a820c402f17f35a12bb1f066
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZTSAZ4ML2EQFAOUS7Q2XGBEYQY \
| 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: cce40cf18bd120503a92fc35730498860a2dd1e0a820c402f17f35a12bb1f066
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6be06488db84d9b70ad3002f46cd537e8de003fb22d167c82b438d84228eb32d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-30T19:37:44Z",
"title_canon_sha256": "be7dc6eb4d480b43d4248db8319343673a4f09dfe1b46969eb9b81f86d3d8804"
},
"schema_version": "1.0",
"source": {
"id": "2305.19377",
"kind": "arxiv",
"version": 1
}
}