Pith Number
pith:B2GVBZZV
pith:2017:B2GVBZZVBDRDUJIQZ275W6J2MC
not attested
not anchored
not stored
refs pending
Adaptive Multilevel Monte Carlo Approximation of Distribution Functions
arxiv:1706.06869 v1 · 2017-06-21 · math.PR · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B2GVBZZVBDRDUJIQZ275W6J2MC}
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 | 2026-05-18T00:41:56.693484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e8d50e73508e23a2510cebfdb793a60985fa91329b6239a304f39b7a5834a88
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B2GVBZZVBDRDUJIQZ275W6J2MC \
| 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: 0e8d50e73508e23a2510cebfdb793a60985fa91329b6239a304f39b7a5834a88
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1431000f5a2034cfe5cce9829db3cc9d260eecd777bfb38115ef4a3f2e462d80",
"cross_cats_sorted": [
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.PR",
"submitted_at": "2017-06-21T12:46:47Z",
"title_canon_sha256": "323bd5d14a74e82dadff36d2482fecbc1799ae0003eb1ecec94b750fe0a1822b"
},
"schema_version": "1.0",
"source": {
"id": "1706.06869",
"kind": "arxiv",
"version": 1
}
}