Pith Number
pith:PP7SLJTQ
pith:2014:PP7SLJTQSM325DE5XVBRZYN3C3
not attested
not anchored
not stored
refs pending
MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization
arxiv:1410.4470 v2 · 2014-10-16 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PP7SLJTQSM325DE5XVBRZYN3C3}
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 | 2026-05-18T02:39:55.281375Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7bff25a6709337ae8c9dbd431ce1bb16e2ad0bf1d39553a23871a4b1baa2c957
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PP7SLJTQSM325DE5XVBRZYN3C3 \
| 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: 7bff25a6709337ae8c9dbd431ce1bb16e2ad0bf1d39553a23871a4b1baa2c957
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "737b550a5f907be0516050216e7c88939d99838e7e86396918da8eb11b4c4b1b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2014-10-16T15:51:50Z",
"title_canon_sha256": "26e39ca808ea0763dbcaf8c139f63fbe53c6f304c9230b18cf51bdc858de86c7"
},
"schema_version": "1.0",
"source": {
"id": "1410.4470",
"kind": "arxiv",
"version": 2
}
}