pith. sign in
Pith Number

pith:KESRXSFO

pith:2019:KESRXSFOX5ZZUEASOQBZW4RCIW
not attested not anchored not stored refs pending

Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning

Andrew Gordon Wilson, Jian Wu, Peter I. Frazier, Saul Toscano-Palmerin

arxiv:1903.04703 v1 · 2019-03-12 · cs.LG · math.OC · stat.ME · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KESRXSFOX5ZZUEASOQBZW4RCIW}

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 2026-05-17T23:51:28.902723Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

51251bc8aebf739a101274039b7222459e71d70500446f9a5697bf101ccda7d8

Aliases

arxiv: 1903.04703 · arxiv_version: 1903.04703v1 · doi: 10.48550/arxiv.1903.04703 · pith_short_12: KESRXSFOX5ZZ · pith_short_16: KESRXSFOX5ZZUEAS · pith_short_8: KESRXSFO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KESRXSFOX5ZZUEASOQBZW4RCIW \
  | 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: 51251bc8aebf739a101274039b7222459e71d70500446f9a5697bf101ccda7d8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "117196b45fc1bafe1dc9d6135c0f5d230b3bb634fb66979270fc81fea3396380",
    "cross_cats_sorted": [
      "math.OC",
      "stat.ME",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-03-12T02:14:04Z",
    "title_canon_sha256": "950315b165f2966abe49d3c9c382bbdc3ed8d972f54ce6808dceea43c09bec46"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1903.04703",
    "kind": "arxiv",
    "version": 1
  }
}