Pith Number
pith:EJX337OA
pith:2025:EJX337OAHRVGZWMEA2ZIGCNFA7
not attested
not anchored
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refs pending
Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
arxiv:2504.07273 v1 · 2025-04-09 · quant-ph · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EJX337OAHRVGZWMEA2ZIGCNFA7}
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Record completeness
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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 | 2026-07-05T10:47:06.150054Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
226fbdfdc03c6a6cd98406b28309a507cfb392ea6e30d16943214704ab8c6d73
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJX337OAHRVGZWMEA2ZIGCNFA7 \
| 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: 226fbdfdc03c6a6cd98406b28309a507cfb392ea6e30d16943214704ab8c6d73
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "24cb68672008e094a2d42708b9c7d4bfc9ca93489824a43b67c266bec5a1d000",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2025-04-09T21:00:41Z",
"title_canon_sha256": "5be91128ba3fd508957efc703403acf32d26ac832d903f45083380edf859a902"
},
"schema_version": "1.0",
"source": {
"id": "2504.07273",
"kind": "arxiv",
"version": 1
}
}