Pith Number
pith:2DH4FYI3
pith:2023:2DH4FYI3WBXCKPWYGARWC6XWK6
not attested
not anchored
not stored
refs pending
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
arxiv:2307.08214 v1 · 2023-07-17 · physics.comp-ph · cs.LG · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2DH4FYI3WBXCKPWYGARWC6XWK6}
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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 | 2026-07-05T06:31:21.714659Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0cfc2e11bb06e253ed83023617af6578c4327c55440f335d07ed92fc36fb04c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2DH4FYI3WBXCKPWYGARWC6XWK6 \
| 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: d0cfc2e11bb06e253ed83023617af6578c4327c55440f335d07ed92fc36fb04c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "120ad3717479f5679276faf2941aa130193013ecbedea79b4f40184585954d28",
"cross_cats_sorted": [
"cs.LG",
"physics.chem-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2023-07-17T03:14:32Z",
"title_canon_sha256": "46e9ce53018a640c680805fe79c5d153df041c40c296d928afaa6b0f91615a59"
},
"schema_version": "1.0",
"source": {
"id": "2307.08214",
"kind": "arxiv",
"version": 1
}
}