Pith Number
pith:B5PY7IPG
pith:2018:B5PY7IPGEJ4XMI4U5VQOB6BGFE
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A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
arxiv:1803.01575 v1 · 2018-03-05 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5PY7IPGEJ4XMI4U5VQOB6BGFE}
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 | 2026-05-18T00:22:00.210390Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f5f8fa1e62279762394ed60e0f8262924dbc9a37b083f718e9dbc1de121444d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5PY7IPGEJ4XMI4U5VQOB6BGFE \
| 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: 0f5f8fa1e62279762394ed60e0f8262924dbc9a37b083f718e9dbc1de121444d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2426824897068f293dabb254672d19cdfa182074fc5b92e021792ed25f59c644",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-03-05T09:49:55Z",
"title_canon_sha256": "f4903b50efe8fb2c8ae3265f257c01eadfa131dac7129281f1e932e606c5a06f"
},
"schema_version": "1.0",
"source": {
"id": "1803.01575",
"kind": "arxiv",
"version": 1
}
}