Pith Number
pith:RLCWNHWC
pith:2019:RLCWNHWCDB7YI7325IOLRAJ6MX
not attested
not anchored
not stored
refs pending
Adaptative significance levels in linear regression models with known variance
arxiv:1906.04222 v1 · 2019-06-10 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RLCWNHWCDB7YI7325IOLRAJ6MX}
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 | 2026-05-17T23:43:39.885457Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8ac5669ec2187f847f7aea1cb8813e65cf7f6b83582e0d6881e0f3df0ad0d4c5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RLCWNHWCDB7YI7325IOLRAJ6MX \
| 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: 8ac5669ec2187f847f7aea1cb8813e65cf7f6b83582e0d6881e0f3df0ad0d4c5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ec494d6906061a62b68b1c0fac72fbc5c76b6c25c3437138e213b713afe8bf3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2019-06-10T18:38:39Z",
"title_canon_sha256": "30c6f7c0566f9045108e5b2158e6bcdcc9bb322bc4f92b95d023defa5ba3af52"
},
"schema_version": "1.0",
"source": {
"id": "1906.04222",
"kind": "arxiv",
"version": 1
}
}