Pith Number
pith:PKSYNNR3
pith:2024:PKSYNNR3NWA73JKFVSY4CMLXHL
not attested
not anchored
not stored
refs pending
Multi-Layer Kernel Machines: Fast and Optimal Nonparametric Regression with Uncertainty Quantification
arxiv:2403.09907 v1 · 2024-03-14 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PKSYNNR3NWA73JKFVSY4CMLXHL}
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 | 2026-07-05T07:56:26.994662Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7aa586b63b6d81fda545acb1c131773ac6fe4c340f3d9d8b0d6a72f8f9cd6c3f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PKSYNNR3NWA73JKFVSY4CMLXHL \
| 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: 7aa586b63b6d81fda545acb1c131773ac6fe4c340f3d9d8b0d6a72f8f9cd6c3f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95d5ec49d2279ea17d3952f3318295b66d9e9ae75e12f3a3744861fd7f6b3ca2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2024-03-14T22:40:50Z",
"title_canon_sha256": "d6458b73810dab6e0c8e0dc502cad89e4f65a4cb3af3de82fc7a53e8816067d0"
},
"schema_version": "1.0",
"source": {
"id": "2403.09907",
"kind": "arxiv",
"version": 1
}
}