Pith Number
pith:5HFVHJSQ
pith:2026:5HFVHJSQDON365I55NEN3XXYDM
not attested
not anchored
not stored
refs pending
What is your Prior Worth? Effective Sample Size and Sample Size Planning for Gaussian Graphical Models
arxiv:2606.22687 v1 · 2026-06-21 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5HFVHJSQDON365I55NEN3XXYDM}
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 | 2026-06-23T02:13:44.858872Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9cb53a6501b9bbf751deb48dddef81b01f5372c4c1d13044c42b0a201fbace2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5HFVHJSQDON365I55NEN3XXYDM \
| 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: e9cb53a6501b9bbf751deb48dddef81b01f5372c4c1d13044c42b0a201fbace2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "054b9e454a5f7d7ced7dc57b1dd5450c774c04af4e3dea55034b59f8ffef2fcf",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2026-06-21T22:05:19Z",
"title_canon_sha256": "6cac1afe0f4cbd1f73c02754f7d92e7f391edb7887a2e0c809cc8a58e81c822b"
},
"schema_version": "1.0",
"source": {
"id": "2606.22687",
"kind": "arxiv",
"version": 1
}
}