Pith Number
pith:B5E63NMU
pith:2026:B5E63NMUJXXY7UWJAUOXEIB7EE
not attested
not anchored
not stored
refs pending
Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
arxiv:2606.06772 v1 · 2026-06-04 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5E63NMUJXXY7UWJAUOXEIB7EE}
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 | 2026-06-08T01:04:27.544149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f49edb5944def8fd2c9051d72203f210b3fe515dbc48a50abc08f4607ca6b18
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5E63NMUJXXY7UWJAUOXEIB7EE \
| 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: 0f49edb5944def8fd2c9051d72203f210b3fe515dbc48a50abc08f4607ca6b18
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6a992db1bab891c498fc593856479a4b3baf0a9a3f3a41638441e635d08d5e1",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-06-04T23:31:52Z",
"title_canon_sha256": "e7bb9a83c2a9f7497fcdf9509871b11645cc5b4ab906e74a0025da53f257e625"
},
"schema_version": "1.0",
"source": {
"id": "2606.06772",
"kind": "arxiv",
"version": 1
}
}