Pith Number
pith:P5THBJ7S
pith:2025:P5THBJ7SSPCT5YXGWVV5RPFSQW
not attested
not anchored
not stored
refs pending
Enhancing Signal Proportion Estimation Through Leveraging Arbitrary Covariance Structures
arxiv:2507.11922 v2 · 2025-07-16 · math.ST · stat.ME · stat.ML · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P5THBJ7SSPCT5YXGWVV5RPFSQW}
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 | 2026-05-17T23:39:01.204908Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f6670a7f293c53ee2e6b56bd8bcb285b44f524cdbda46c0987893e9f0f3acde
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5THBJ7SSPCT5YXGWVV5RPFSQW \
| 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: 7f6670a7f293c53ee2e6b56bd8bcb285b44f524cdbda46c0987893e9f0f3acde
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "936e798f287e5d76abcccd82b279b12d3d055074e476c7832780d26a1f52d017",
"cross_cats_sorted": [
"stat.ME",
"stat.ML",
"stat.TH"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.ST",
"submitted_at": "2025-07-16T05:37:42Z",
"title_canon_sha256": "cff749d7327a65ec3d306c9e4af51fb02102e9d674ca93f9f28d860c04ffa42c"
},
"schema_version": "1.0",
"source": {
"id": "2507.11922",
"kind": "arxiv",
"version": 2
}
}