Pith Number
pith:F7BFWG2N
pith:2021:F7BFWG2N45WRLP2AZGV3K2R64V
not attested
not anchored
not stored
refs pending
Does Preprocessing Help Training Over-parameterized Neural Networks?
arxiv:2110.04622 v1 · 2021-10-09 · cs.LG · cs.DS · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F7BFWG2N45WRLP2AZGV3K2R64V}
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.
Receipt and verification
| First computed | 2026-07-05T03:21:19.391209Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2fc25b1b4de76d15bf40c9abb56a3ee552562eeff4f9c1df3ecde2abfcbd31d9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F7BFWG2N45WRLP2AZGV3K2R64V \
| 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: 2fc25b1b4de76d15bf40c9abb56a3ee552562eeff4f9c1df3ecde2abfcbd31d9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f22a8a3b72262d366b9fba8f1380a58b74bbb00f70a4696c2a20fd5766350884",
"cross_cats_sorted": [
"cs.DS",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-10-09T18:16:23Z",
"title_canon_sha256": "f881ea4fee2beba01233be7ac841ac16b281a63019efa31e949caacc72903c38"
},
"schema_version": "1.0",
"source": {
"id": "2110.04622",
"kind": "arxiv",
"version": 1
}
}