Pith Number
pith:6MRS27PX
pith:2016:6MRS27PX5XK6BF5V4NFHN4CAWR
not attested
not anchored
not stored
refs pending
Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming
arxiv:1612.02161 v2 · 2016-12-07 · cs.AI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6MRS27PX5XK6BF5V4NFHN4CAWR}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:44:57.587441Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3232d7df7edd5e097b5e34a76f040b47a199bcb7b96e2ab72c418414c49cac3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6MRS27PX5XK6BF5V4NFHN4CAWR \
| 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: f3232d7df7edd5e097b5e34a76f040b47a199bcb7b96e2ab72c418414c49cac3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1af22ac25db429e50182a90e49a906029f28924c13b60b140e96ea85452ab76d",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-12-07T09:29:58Z",
"title_canon_sha256": "39b60c6e9b51e19e942a2d126ed27f9b46c6e7c6d62e768e9dd2250a91e362a9"
},
"schema_version": "1.0",
"source": {
"id": "1612.02161",
"kind": "arxiv",
"version": 2
}
}