Pith Number
pith:HIDZGW3Z
pith:2011:HIDZGW3Z6DXTDTTY5ZDAWQQK4I
not attested
not anchored
not stored
refs pending
Asymptotically Independent Markov Sampling: a new MCMC scheme for Bayesian Inference
arxiv:1110.1880 v1 · 2011-10-09 · stat.CO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HIDZGW3Z6DXTDTTY5ZDAWQQK4I}
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 | 2026-05-18T04:11:19.420245Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a07935b79f0ef31ce78ee460b420ae216a458d46d607ae0105e6c5e348b2506
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HIDZGW3Z6DXTDTTY5ZDAWQQK4I \
| 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: 3a07935b79f0ef31ce78ee460b420ae216a458d46d607ae0105e6c5e348b2506
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4411405315281d9e5254b14cfe0cb2a549186e30ca69fc615de367ddad50e586",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2011-10-09T20:00:33Z",
"title_canon_sha256": "647feace3be7ab2671c12e0cbb4e82850b536807d81a670d659876425b0fc7c4"
},
"schema_version": "1.0",
"source": {
"id": "1110.1880",
"kind": "arxiv",
"version": 1
}
}