Pith Number
pith:CVD4CQDZ
pith:2018:CVD4CQDZVEF6HZNMZ4NERPBJ62
not attested
not anchored
not stored
refs pending
Efficient Marginalization-based MCMC Methods for Hierarchical Bayesian Inverse Problems
arxiv:1811.01091 v2 · 2018-11-02 · stat.CO · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CVD4CQDZVEF6HZNMZ4NERPBJ62}
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 | 2026-05-17T23:44:00.133519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1547c14079a90be3e5accf1a48bc29f6a992a4de19be2e5ea3b762f753ac930b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CVD4CQDZVEF6HZNMZ4NERPBJ62 \
| 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: 1547c14079a90be3e5accf1a48bc29f6a992a4de19be2e5ea3b762f753ac930b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "621684001d75948885b6bdec3055ac326b503183a55cbe0876186db9018590c5",
"cross_cats_sorted": [
"math.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2018-11-02T21:15:01Z",
"title_canon_sha256": "b63f251075361d9c0bda92763a642db3351bb024048662f149c01ee379328e35"
},
"schema_version": "1.0",
"source": {
"id": "1811.01091",
"kind": "arxiv",
"version": 2
}
}