Pith Number
pith:ZZDL2QSS
pith:2019:ZZDL2QSS4P6L2BDL5XIHYY4KZR
not attested
not anchored
not stored
refs pending
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
arxiv:1908.05376 v1 · 2019-08-15 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZZDL2QSS4P6L2BDL5XIHYY4KZR}
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.
Cited by
Receipt and verification
| First computed | 2026-07-04T23:56:50.936931Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce46bd4252e3fcbd046bedd07c638acc4f196b4bde04ad14aed713a7cc7e6518
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZZDL2QSS4P6L2BDL5XIHYY4KZR \
| 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: ce46bd4252e3fcbd046bedd07c638acc4f196b4bde04ad14aed713a7cc7e6518
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02c24cdc624afba15aa776256d0ea19bf9fa99ad90dd14433f65894d5f5ecd34",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-08-15T00:06:23Z",
"title_canon_sha256": "bcaf3fc564ea934d0da07baa4aff2f651ab01ee7af6d16d7d321b7746c8016e5"
},
"schema_version": "1.0",
"source": {
"id": "1908.05376",
"kind": "arxiv",
"version": 1
}
}