Pith Number

pith:UOCCUIPS

pith:2023:UOCCUIPSMVXXIPQ7UISK4AJVFP

not attested not anchored not stored refs pending

Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces

Xinran Han, Zhou Fan, Zi Wang

arxiv:2309.16597 v2 · 2023-09-28 · cs.LG · cs.AI · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{UOCCUIPSMVXXIPQ7UISK4AJVFP}

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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

Monte Carlo Tree Search based Space Transfer for Black-box Optimization

Receipt and verification

First computed	2026-07-05T07:44:56.566114Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a3842a21f2656f743e1fa224ae01352bdadf889326fe3a73bbcca695d649ba1e

Aliases

arxiv: 2309.16597 · arxiv_version: 2309.16597v2 · doi: 10.48550/arxiv.2309.16597 · pith_short_12: UOCCUIPSMVXX · pith_short_16: UOCCUIPSMVXXIPQ7 · pith_short_8: UOCCUIPS

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/UOCCUIPSMVXXIPQ7UISK4AJVFP \
  | 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: a3842a21f2656f743e1fa224ae01352bdadf889326fe3a73bbcca695d649ba1e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "acff1f4414cb0ccbf4b047fb00e7c2014660f2d5c33a59b4e39add5b031118fe",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-09-28T17:01:43Z",
    "title_canon_sha256": "ef5d6ec695cb1e5302699ff95a16d4349b00ea89200754f785b38b724ba7a348"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.16597",
    "kind": "arxiv",
    "version": 2
  }
}