Pith Number
pith:YGATCL3L
pith:2011:YGATCL3LSRHVHCAW7LTB62YZOI
not attested
not anchored
not stored
refs pending
Using Supervised Learning to Improve Monte Carlo Integral Estimation
arxiv:1108.4879 v1 · 2011-08-24 · stat.ML · cs.CE · cs.NA · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YGATCL3LSRHVHCAW7LTB62YZOI}
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
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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 | 2026-05-18T04:14:46.584821Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c181312f6b944f538816fae61f6b197205afa447c97b8f95bf550a343756de73
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YGATCL3LSRHVHCAW7LTB62YZOI \
| 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: c181312f6b944f538816fae61f6b197205afa447c97b8f95bf550a343756de73
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53d8ddc7bddd5780be8762a517f95031126b5c881122424400f6bfa8d40c0936",
"cross_cats_sorted": [
"cs.CE",
"cs.NA",
"stat.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2011-08-24T16:22:55Z",
"title_canon_sha256": "df2f7e6a4b3b9922ffed334fd42f24305d63868e0a01123c220aa8864744637b"
},
"schema_version": "1.0",
"source": {
"id": "1108.4879",
"kind": "arxiv",
"version": 1
}
}