Pith Number

pith:HHS44OWK

pith:2024:HHS44OWKH7OAQIYELJBRGPSHCU

not attested not anchored not stored refs pending

Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure

Eytan Bakshy, Jihao Andreas Lin, Maximilian Balandat, Sebastian Ament

arxiv:2410.09239 v1 · 2024-10-11 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{HHS44OWKH7OAQIYELJBRGPSHCU}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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.

Cited by

1 paper in Pith

Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process

Receipt and verification

First computed	2026-07-05T09:19:36.234701Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

39e5ce3aca3fdc0823045a43133e47150a3f7263aebb5a5755c0721a29f5d24a

Aliases

arxiv: 2410.09239 · arxiv_version: 2410.09239v1 · doi: 10.48550/arxiv.2410.09239 · pith_short_12: HHS44OWKH7OA · pith_short_16: HHS44OWKH7OAQIYE · pith_short_8: HHS44OWK

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HHS44OWKH7OAQIYELJBRGPSHCU \
  | 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: 39e5ce3aca3fdc0823045a43133e47150a3f7263aebb5a5755c0721a29f5d24a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bf8246f4ceacc334f8bd344576a380d3f7a6660f1930920ef8b5ea32a2835975",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-10-11T20:24:33Z",
    "title_canon_sha256": "a948edd73bda04f1d32db704e0ffc76c3403144afce4431618d17a1dfa51cd45"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.09239",
    "kind": "arxiv",
    "version": 1
  }
}