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Pith Number

pith:URFG3DYC

pith:2023:URFG3DYCTIPUYSYWMHTVMDJTLN
not attested not anchored not stored refs pending

Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training

Koustubh Phalak, Swaroop Ghosh

arxiv:2304.12950 v2 · 2023-04-21 · quant-ph · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{URFG3DYCTIPUYSYWMHTVMDJTLN}

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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.
Receipt and verification
First computed 2026-07-05T06:04:56.151972Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a44a6d8f029a1f4c4b1661e7560d335b60d7dda7db78ca7112bf10817e6a195e

Aliases

arxiv: 2304.12950 · arxiv_version: 2304.12950v2 · doi: 10.48550/arxiv.2304.12950 · pith_short_12: URFG3DYCTIPU · pith_short_16: URFG3DYCTIPUYSYW · pith_short_8: URFG3DYC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/URFG3DYCTIPUYSYWMHTVMDJTLN \
  | 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: a44a6d8f029a1f4c4b1661e7560d335b60d7dda7db78ca7112bf10817e6a195e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a4ceac1967ce610e5c994e5004f945539b89b87c33a7d6d6f77b4e0a636994fa",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "quant-ph",
    "submitted_at": "2023-04-21T14:38:14Z",
    "title_canon_sha256": "9b6d83ce02a5f5ae9155459e7c3023efefdf7a815a4f6eb898a7bfc5723cb477"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2304.12950",
    "kind": "arxiv",
    "version": 2
  }
}