Pith Number
pith:TN3ECZ3B
pith:2017:TN3ECZ3BCYRV4LKBPUL7R5GX3W
not attested
not anchored
not stored
refs pending
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets
arxiv:1706.08327 v3 · 2017-06-26 · stat.ME · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TN3ECZ3BCYRV4LKBPUL7R5GX3W}
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 | 2026-05-18T00:14:34.546176Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b7641676116235e2d417d17f8f4d7ddb95336286b735f868be5b21e096ee737
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TN3ECZ3BCYRV4LKBPUL7R5GX3W \
| 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: 9b7641676116235e2d417d17f8f4d7ddb95336286b735f868be5b21e096ee737
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07ca3d66a9f448bf1bd11c7010e7af9c8ae3f03692d3c51cd26c19cfcc725082",
"cross_cats_sorted": [
"stat.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2017-06-26T11:24:51Z",
"title_canon_sha256": "3cf4157daae26cdbd8231bc2976292c4ca9a3a50834e77de2e590690b40bf5f0"
},
"schema_version": "1.0",
"source": {
"id": "1706.08327",
"kind": "arxiv",
"version": 3
}
}