Pith Number
pith:MSV7N4MJ
pith:2025:MSV7N4MJGFP3FVE2T4L3DW2P4M
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A Spatial-Sign based Direct Approach for High Dimensional Sparse Quadratic Discriminant Analysis
arxiv:2504.11187 v1 · 2025-04-15 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MSV7N4MJGFP3FVE2T4L3DW2P4M}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:49:30.470673Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
64abf6f189315fb2d49a9f17b1db4fe30d5f0c9fd209b36e44ad9d85e4bbe8b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MSV7N4MJGFP3FVE2T4L3DW2P4M \
| 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: 64abf6f189315fb2d49a9f17b1db4fe30d5f0c9fd209b36e44ad9d85e4bbe8b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "291f606b035f6317ad54f513b45249cee0a2c7e8ca1153709ce26035c684ea34",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-04-15T13:42:41Z",
"title_canon_sha256": "ec20b47325dfd856561907944b0e391c27dbc0088c1fcff1b7728f2fe6bcd03f"
},
"schema_version": "1.0",
"source": {
"id": "2504.11187",
"kind": "arxiv",
"version": 1
}
}