Pith Number
pith:M3A4H2JB
pith:2019:M3A4H2JB2LWKZEXCS6XCHDJXIL
not attested
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not stored
refs pending
The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime
arxiv:1911.01544 v3 · 2019-11-05 · math.ST · stat.ML · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M3A4H2JB2LWKZEXCS6XCHDJXIL}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:53:29.619780Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66c1c3e921d2ecac92e297ae238d3742d548ce25046c938729b24db830b725ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M3A4H2JB2LWKZEXCS6XCHDJXIL \
| 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: 66c1c3e921d2ecac92e297ae238d3742d548ce25046c938729b24db830b725ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "419fad32944e104601e013dd045d5937851f8387c7d462770ce789f1158bd58c",
"cross_cats_sorted": [
"stat.ML",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.ST",
"submitted_at": "2019-11-05T00:15:27Z",
"title_canon_sha256": "46a77590bb6ecf0fdf9293f27751fdf3874ad8841ccfa4f6eeb8cd4a2fc1f6d7"
},
"schema_version": "1.0",
"source": {
"id": "1911.01544",
"kind": "arxiv",
"version": 3
}
}