Pith Number
pith:BEGVUAQL
pith:2016:BEGVUAQLTPAL2KRSXIM5KJIIKJ
not attested
not anchored
not stored
refs pending
Random matrices meet machine learning: a large dimensional analysis of LS-SVM
arxiv:1609.02020 v2 · 2016-09-07 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BEGVUAQLTPAL2KRSXIM5KJIIKJ}
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 | 2026-05-18T01:04:55.352087Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
090d5a020b9bc0bd2a32ba19d525085270743d9b896c57f6912634e21f12d492
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BEGVUAQLTPAL2KRSXIM5KJIIKJ \
| 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: 090d5a020b9bc0bd2a32ba19d525085270743d9b896c57f6912634e21f12d492
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f8d326f40f687bc6111d968840782315b6350ccfacf989d30e1160b3983ff10",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-09-07T15:39:24Z",
"title_canon_sha256": "a3313b5fe4c02c2598409d22cc5707fbb708587ac4d8444a555a350d6c646ea1"
},
"schema_version": "1.0",
"source": {
"id": "1609.02020",
"kind": "arxiv",
"version": 2
}
}