Pith Number
pith:RS27PI6Q
pith:2026:RS27PI6QA35V2UH5FC4AXWX7U2
not attested
not anchored
not stored
refs pending
Introduction to the artificial neural network-based variational Monte Carlo method
arxiv:2603.15460 v2 · 2026-03-16 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RS27PI6QA35V2UH5FC4AXWX7U2}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-20T00:04:28.495925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8cb5f7a3d006fb5d50fd28b80bdaffa6b71ed9d81e925d2224be86fc08ec8cde
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RS27PI6QA35V2UH5FC4AXWX7U2 \
| 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: 8cb5f7a3d006fb5d50fd28b80bdaffa6b71ed9d81e925d2224be86fc08ec8cde
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3922bac5735952fcd175e34203b3f9040ae70cb3924b1cf83f2ae6e3067007ec",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2026-03-16T15:56:43Z",
"title_canon_sha256": "51114274b695620386b411e4429bd602ef5b9a288d1c06bb7be2151e15b38330"
},
"schema_version": "1.0",
"source": {
"id": "2603.15460",
"kind": "arxiv",
"version": 2
}
}