Pith Number
pith:HLFG64RO
pith:2022:HLFG64RO4IRQBKVTMEWAUZVHHJ
not attested
not anchored
not stored
refs pending
Finite Sample Complexity of Sequential Monte Carlo Estimators on Multimodal Target Distributions
arxiv:2208.06672 v1 · 2022-08-13 · stat.CO · math.PR · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HLFG64RO4IRQBKVTMEWAUZVHHJ}
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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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 | 2026-07-05T04:48:19.358802Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3aca6f722ee22300aab3612c0a66a73a451fce5916c47242228403206dac8e48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HLFG64RO4IRQBKVTMEWAUZVHHJ \
| 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: 3aca6f722ee22300aab3612c0a66a73a451fce5916c47242228403206dac8e48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc5994832d3afcd8ce1087027c5ac95396da9c69c5859a73dbd6e9ce514cd77d",
"cross_cats_sorted": [
"math.PR",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.CO",
"submitted_at": "2022-08-13T15:06:03Z",
"title_canon_sha256": "e01e04f76546c63d41b04ea9d78a863d927f82ee2f89601a45c89bb8a8498b1c"
},
"schema_version": "1.0",
"source": {
"id": "2208.06672",
"kind": "arxiv",
"version": 1
}
}