Pith Number
pith:4SUGYVN4
pith:2026:4SUGYVN4YZXWZJO2DLW3NXKA27
not attested
not anchored
not stored
refs pending
Efficient training of photonic quantum generative models
arxiv:2603.08793 v2 · 2026-03-09 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4SUGYVN4YZXWZJO2DLW3NXKA27}
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.
Cited by
Receipt and verification
| First computed | 2026-07-07T02:17:20.294143Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4a86c55bcc66f6ca5da1aedb6dd40d7c7d7479a036b05307ae1ace4b5e412bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4SUGYVN4YZXWZJO2DLW3NXKA27 \
| 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: e4a86c55bcc66f6ca5da1aedb6dd40d7c7d7479a036b05307ae1ace4b5e412bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "04e1c207ad24e9bdbfc517684db10504857e5bffc7328ec6c7900447ac844046",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2026-03-09T18:00:11Z",
"title_canon_sha256": "5715fdff57da089a0f5ed9872f1a307025e1075d471ff8ffd5909c8408922732"
},
"schema_version": "1.0",
"source": {
"id": "2603.08793",
"kind": "arxiv",
"version": 2
}
}