Pith Number
pith:6CASU6QV
pith:2021:6CASU6QV6HOOD7GDU6YK2LO6U2
not attested
not anchored
not stored
refs pending
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals
arxiv:2102.04401 v1 · 2021-02-08 · cs.LG · cs.DS · math.ST · stat.ML · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6CASU6QV6HOOD7GDU6YK2LO6U2}
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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 | 2026-07-05T02:13:32.892639Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0812a7a15f1dce1fcc3a7b0ad2ddea6839ae23880c3067b036a54b36d26a461
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CASU6QV6HOOD7GDU6YK2LO6U2 \
| 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: f0812a7a15f1dce1fcc3a7b0ad2ddea6839ae23880c3067b036a54b36d26a461
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b1f69f622e4322360d22d30979e47d1b268c32432f45fb8f10e1a74b142ce62b",
"cross_cats_sorted": [
"cs.DS",
"math.ST",
"stat.ML",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-08T18:06:32Z",
"title_canon_sha256": "70eeb1e2705e0dd88de94529333eb6ffa6abdcc09505af38b66f95d2734b4086"
},
"schema_version": "1.0",
"source": {
"id": "2102.04401",
"kind": "arxiv",
"version": 1
}
}