Pith Number
pith:LSHP7UPD
pith:2026:LSHP7UPDSXWN4A4KSGS6DYBH5U
not attested
not anchored
not stored
refs pending
PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks
arxiv:2607.20045 v1 · 2026-07-22 · quant-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LSHP7UPDSXWN4A4KSGS6DYBH5U}
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 | 2026-07-23T01:24:57.165777Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c8effd1e395ecde038a91a5e1e027ed3c34297560a5a7d7e15ef5c1f8fb5af2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LSHP7UPDSXWN4A4KSGS6DYBH5U \
| 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: 5c8effd1e395ecde038a91a5e1e027ed3c34297560a5a7d7e15ef5c1f8fb5af2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "94a65e6418722d261676d75346aba0e3434d4256192362d4b7bd9b489bb716ae",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2026-07-22T11:39:09Z",
"title_canon_sha256": "f5ff78193a947c6cc7e1966d5f0d17a0ffbd93d8f922e9b9f6014929a8984719"
},
"schema_version": "1.0",
"source": {
"id": "2607.20045",
"kind": "arxiv",
"version": 1
}
}