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
arxiv:2304.12950 v2 · 2023-04-21 · quant-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{URFG3DYCTIPUYSYWMHTVMDJTLN}
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
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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 | 2026-07-05T06:04:56.151972Z |
|---|---|
| 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
· · · · ·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
}
}