Pith Number
pith:5IOZXLY4
pith:2025:5IOZXLY4AEK7MYVVRVG35JOJXY
not attested
not anchored
not stored
refs pending
Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator
arxiv:2504.21812 v3 · 2025-04-30 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5IOZXLY4AEK7MYVVRVG35JOJXY}
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 | 2026-07-05T11:31:45.062230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea1d9baf1c0115f662b58d4dbea5c9be245a1d8790b0adfc360200494e16bd44
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5IOZXLY4AEK7MYVVRVG35JOJXY \
| 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: ea1d9baf1c0115f662b58d4dbea5c9be245a1d8790b0adfc360200494e16bd44
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "961b1983b82a6f83081d3ac15ccbf05a70c27509767865aefd86d6dd87cea363",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-04-30T17:15:55Z",
"title_canon_sha256": "5af3956c8ebd6464802622d0e2cd3f8d28d1a6c82b530e3cac536cc32836751e"
},
"schema_version": "1.0",
"source": {
"id": "2504.21812",
"kind": "arxiv",
"version": 3
}
}