Pith Number
pith:EY7KNLTC
pith:2026:EY7KNLTC7XRQ4IOCHT7T7AZKNL
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refs pending
Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization
arxiv:2606.26009 v1 · 2026-06-24 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EY7KNLTC7XRQ4IOCHT7T7AZKNL}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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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 | 2026-06-25T01:18:45.723180Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
263ea6ae62fde30e21c23cff3f832a6aeae59db2a132b3935e7d98f23ad80cea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EY7KNLTC7XRQ4IOCHT7T7AZKNL \
| 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: 263ea6ae62fde30e21c23cff3f832a6aeae59db2a132b3935e7d98f23ad80cea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a7f8595bfb9de88babea34737eeb24b043a43c037e7cd5fb8a59ceafe2765cd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-24T16:29:54Z",
"title_canon_sha256": "0dc2104ed362e2f4dabe557c94591d22c6d64098d499408453fbf769f6fed7d7"
},
"schema_version": "1.0",
"source": {
"id": "2606.26009",
"kind": "arxiv",
"version": 1
}
}