Pith Number
pith:626HGBL2
pith:2018:626HGBL2W4RBWMMOS3B7MOTOTQ
not attested
not anchored
not stored
refs pending
High-dimensional Linear Discriminant Analysis: Optimality, Adaptive Algorithm, and Missing Data
arxiv:1804.03018 v1 · 2018-04-09 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{626HGBL2W4RBWMMOS3B7MOTOTQ}
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 | 2026-05-18T00:18:57.658038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f6bc73057ab7221b318e96c3f63a6e9c293c32e03ddfded31d6fd0189d1c7f1e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/626HGBL2W4RBWMMOS3B7MOTOTQ \
| 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: f6bc73057ab7221b318e96c3f63a6e9c293c32e03ddfded31d6fd0189d1c7f1e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1bf8c3801d35839bf1bfcb37aeb1c53e2d53ad429cebb75d64e2283259839510",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2018-04-09T14:23:07Z",
"title_canon_sha256": "e8f3970dcb5c11007dbb43e679666979fbeec84d514d27cc4d4ed6d5edc7e664"
},
"schema_version": "1.0",
"source": {
"id": "1804.03018",
"kind": "arxiv",
"version": 1
}
}