Pith Number
pith:OKJ6VTNH
pith:2014:OKJ6VTNHOXW44XH3LHYTDXWVFV
not attested
not anchored
not stored
refs pending
Learning rates for the risk of kernel based quantile regression estimators in additive models
arxiv:1405.3379 v1 · 2014-05-14 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OKJ6VTNHOXW44XH3LHYTDXWVFV}
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 | 2026-05-18T02:51:56.197684Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7293eacda775edce5cfb59f131ded52d710f8b3db0b3d06483b96f7967411667
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OKJ6VTNHOXW44XH3LHYTDXWVFV \
| 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: 7293eacda775edce5cfb59f131ded52d710f8b3db0b3d06483b96f7967411667
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa52a40314d798cb0273dd38076c91cf62cd5ee85c9071b6dae9c83072c2a328",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2014-05-14T06:50:08Z",
"title_canon_sha256": "29dc21cdbf5e804914c44150176009f36b488a463426bb3ebf830efa5bf9f051"
},
"schema_version": "1.0",
"source": {
"id": "1405.3379",
"kind": "arxiv",
"version": 1
}
}