Pith Number
pith:FSWINRFK
pith:2022:FSWINRFKH4FMINPNJ7PN6Z6EWF
not attested
not anchored
not stored
refs pending
An effective introduction to the Markov Chain Monte Carlo method
arxiv:2204.10145 v1 · 2022-04-21 · physics.comp-ph · physics.ed-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FSWINRFKH4FMINPNJ7PN6Z6EWF}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:33:26.920300Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cac86c4aa3f0ac435ed4fdedf67c4b14be38bf0b36f6dc8e832b3313e507cfa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FSWINRFKH4FMINPNJ7PN6Z6EWF \
| 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: 2cac86c4aa3f0ac435ed4fdedf67c4b14be38bf0b36f6dc8e832b3313e507cfa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "66d8476cb986ec1fdee23fc891684fefa214ac92c1199ed969340a4f4b9cf860",
"cross_cats_sorted": [
"physics.ed-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2022-04-21T14:50:42Z",
"title_canon_sha256": "370bc95abcbf3d0e65dc8af0138ee08c60ccf0c9682612e91dd4ceb8010b2d32"
},
"schema_version": "1.0",
"source": {
"id": "2204.10145",
"kind": "arxiv",
"version": 1
}
}