Pith Number
pith:JVBF2HM5
pith:2020:JVBF2HM5HDSXGTC2Q6VAF3SFSS
not attested
not anchored
not stored
refs pending
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
arxiv:2002.02561 v7 · 2020-02-07 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JVBF2HM5HDSXGTC2Q6VAF3SFSS}
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 | 2026-07-05T02:18:14.770800Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4d425d1d9d38e5734c5a87aa02ee4594a21f7cde0a67ad092bceee2c77c0d3cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JVBF2HM5HDSXGTC2Q6VAF3SFSS \
| 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: 4d425d1d9d38e5734c5a87aa02ee4594a21f7cde0a67ad092bceee2c77c0d3cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3dbf352d2425804736df6a0beed1e58ab4d396d94d10ae46bf73f32e3b594fcf",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-02-07T00:03:40Z",
"title_canon_sha256": "a3b718d7577bbe06d3c680c630960a3a4445443d0ab873cf7306c93048212ab4"
},
"schema_version": "1.0",
"source": {
"id": "2002.02561",
"kind": "arxiv",
"version": 7
}
}