Pith Number
pith:ZZJRS35Z
pith:2018:ZZJRS35Z2G4XGGQDV2LK63XWLW
not attested
not anchored
not stored
refs pending
Variational Monte Carlo - Bridging Concepts of Machine Learning and High Dimensional Partial Differential Equations
arxiv:1810.01348 v1 · 2018-10-02 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZZJRS35Z2G4XGGQDV2LK63XWLW}
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 | 2026-06-04T20:13:27.796681Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce53196fb9d1b9731a03ae96af6ef65d8aabbe1543f5a2369608b4756bb06d4b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZZJRS35Z2G4XGGQDV2LK63XWLW \
| 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: ce53196fb9d1b9731a03ae96af6ef65d8aabbe1543f5a2369608b4756bb06d4b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "744d0286955c739ae5ff368fcef9d9f67ced08450d082bbbc74d73053334cdb8",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2018-10-02T16:17:34Z",
"title_canon_sha256": "3b879881e4edbc3fee3fdfc4445b26df154d195dd2c4644903ac5aa6e5b9a6d7"
},
"schema_version": "1.0",
"source": {
"id": "1810.01348",
"kind": "arxiv",
"version": 1
}
}