Pith Number
pith:BXDPYRLD
pith:2022:BXDPYRLDPWZZIB2BGQUQSNMCDD
not attested
not anchored
not stored
refs pending
Quantum Annealing for Neural Network optimization problems: a new approach via Tensor Network simulations
arxiv:2208.14468 v3 · 2022-08-30 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BXDPYRLDPWZZIB2BGQUQSNMCDD}
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 | 2026-07-05T06:10:19.147004Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dc6fc45637db3940741342909358218c3257ac597e827e5a0c86f49a6c4e59f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BXDPYRLDPWZZIB2BGQUQSNMCDD \
| 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: 0dc6fc45637db3940741342909358218c3257ac597e827e5a0c86f49a6c4e59f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe1742ea1f540b4e557c33205d686497cb36b12f7fb6f739329a0607dd3f378a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2022-08-30T18:00:14Z",
"title_canon_sha256": "17ad800dba257a53ef5ea0d9c00e31fe2509a4f2dfd08586b7c811fb074d5de2"
},
"schema_version": "1.0",
"source": {
"id": "2208.14468",
"kind": "arxiv",
"version": 3
}
}