pith. sign in
Pith Number

pith:RGFVYETQ

pith:2022:RGFVYETQMUVT5KDOUY7K77MNND
not attested not anchored not stored refs pending

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator

Frank Hutter, Masaki Onishi, Noor Awad, Shuhei Watanabe

arxiv:2212.06751 v5 · 2022-12-13 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RGFVYETQMUVT5KDOUY7K77MNND}

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 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.
Receipt and verification
First computed 2026-06-02T02:04:03.548284Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

898b5c1270652b3ea86ea63eaffd8d68f877f243b32470d93cfda5d97655cd84

Aliases

arxiv: 2212.06751 · arxiv_version: 2212.06751v5 · doi: 10.48550/arxiv.2212.06751 · pith_short_12: RGFVYETQMUVT · pith_short_16: RGFVYETQMUVT5KDO · pith_short_8: RGFVYETQ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RGFVYETQMUVT5KDOUY7K77MNND \
  | 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: 898b5c1270652b3ea86ea63eaffd8d68f877f243b32470d93cfda5d97655cd84
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "933515ef0b1dd58c372b3fae86e7a582236285437e843fd9e1185e1a5b28c0f7",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-12-13T17:33:02Z",
    "title_canon_sha256": "9505155d81f227ff2363a5c81e4c30f70049548be518a2d2218934dbcb9e8576"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2212.06751",
    "kind": "arxiv",
    "version": 5
  }
}