Pith Number
pith:5HIY3IMO
pith:2018:5HIY3IMODJ7A3C6LQYOMEAYYEG
not attested
not anchored
not stored
refs pending
Correction of AI systems by linear discriminants: Probabilistic foundations
arxiv:1811.05321 v1 · 2018-11-11 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5HIY3IMODJ7A3C6LQYOMEAYYEG}
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 | 2026-05-17T23:52:26.972597Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9d18da18e1a7e0d8bcb861cc2031821ab155ad893cd1a9b228a0139c7df84c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5HIY3IMODJ7A3C6LQYOMEAYYEG \
| 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: e9d18da18e1a7e0d8bcb861cc2031821ab155ad893cd1a9b228a0139c7df84c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0aae446dabd7e63c2c64fc03180307acb29a73cb1ca274f7f97bc87ce13db83b",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-11-11T13:11:13Z",
"title_canon_sha256": "f5b7dacf0b51817506339d5d4a10b489465a1eb34fe6f42a0201727dfcb51ff7"
},
"schema_version": "1.0",
"source": {
"id": "1811.05321",
"kind": "arxiv",
"version": 1
}
}