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pith:VFFSDMMT

pith:2021:VFFSDMMTWPDAN22HGWMMUFLYIN
not attested not anchored not stored refs pending

Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning

Hayata Yamasaki, Sho Sonoda

arxiv:2106.09028 v2 · 2021-06-16 · quant-ph · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{VFFSDMMTWPDAN22HGWMMUFLYIN}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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.

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1 paper in Pith

Receipt and verification
First computed 2026-07-05T04:31:21.830216Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a94b21b193b3c606eb473598ca15784340ab153a11867272898f001a92b86a07

Aliases

arxiv: 2106.09028 · arxiv_version: 2106.09028v2 · doi: 10.48550/arxiv.2106.09028 · pith_short_12: VFFSDMMTWPDA · pith_short_16: VFFSDMMTWPDAN22H · pith_short_8: VFFSDMMT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VFFSDMMTWPDAN22HGWMMUFLYIN \
  | 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: a94b21b193b3c606eb473598ca15784340ab153a11867272898f001a92b86a07
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "15e15b3d1d63fd0d7686b36e51c2d6469db039ca55d6297a468d3d7ca3c31840",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "quant-ph",
    "submitted_at": "2021-06-16T18:00:00Z",
    "title_canon_sha256": "35989ed33cf622f3b08ef0071e7bd0d5ac16221597a5be5de0644f9e9973e938"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2106.09028",
    "kind": "arxiv",
    "version": 2
  }
}