Pith Number
pith:HM5INLNF
pith:2017:HM5INLNFOJOQ6YEU6GFSZN2IOK
not attested
not anchored
not stored
refs pending
Fast semi-supervised discriminant analysis for binary classification of large data-sets
arxiv:1709.04794 v2 · 2017-09-14 · cs.AI · cs.NA · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HM5INLNFOJOQ6YEU6GFSZN2IOK}
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
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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 | 2026-05-17T23:53:11.991130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b3a86ada5725d0f6094f18b2cb74872a9a65c527b6f671ef8c4c335b316665c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HM5INLNFOJOQ6YEU6GFSZN2IOK \
| 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: 3b3a86ada5725d0f6094f18b2cb74872a9a65c527b6f671ef8c4c335b316665c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02cff339f40924305e651e4fa4146fa68edc257b58714d4ef64b77be7490fcd9",
"cross_cats_sorted": [
"cs.NA",
"cs.PF"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-09-14T13:53:49Z",
"title_canon_sha256": "419ea266ce600360ed95189a87b7bbffb174ed190068372dc68fbb0625d8ff3f"
},
"schema_version": "1.0",
"source": {
"id": "1709.04794",
"kind": "arxiv",
"version": 2
}
}