Pith Number
pith:LDRDAFYX
pith:2020:LDRDAFYXBJPWFKSG3QWXRISBF4
not attested
not anchored
not stored
refs pending
Improved Neural Network Monte Carlo Simulation
arxiv:2009.07819 v2 · 2020-09-16 · hep-ph · hep-ex · physics.comp-ph · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LDRDAFYXBJPWFKSG3QWXRISBF4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:12:24.730029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58e23017170a5f62aa46dc2d78a2412f2d937c4678f7f0006fd46e8b7d3ce959
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LDRDAFYXBJPWFKSG3QWXRISBF4 \
| 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: 58e23017170a5f62aa46dc2d78a2412f2d937c4678f7f0006fd46e8b7d3ce959
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "61d3e20717388d1f077bfed49cecb287b0a162669746ee8865eee2199c762de6",
"cross_cats_sorted": [
"hep-ex",
"physics.comp-ph",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ph",
"submitted_at": "2020-09-16T17:21:03Z",
"title_canon_sha256": "1a4bcc99cd8426e39dba49699ed7e38a2185c143ccf61a77252017ae13228f3b"
},
"schema_version": "1.0",
"source": {
"id": "2009.07819",
"kind": "arxiv",
"version": 2
}
}