Pith. sign in
Pith Number

pith:Q32JWNSI

pith:2022:Q32JWNSIPJK5W67CZRFPH5C6ON
not attested not anchored not stored refs pending

$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

Artur Souza, Carl Hvarfner, Danny Stoll, Frank Hutter, Luigi Nardi, Marius Lindauer

arxiv:2204.11051 v1 · 2022-04-23 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q32JWNSIPJK5W67CZRFPH5C6ON}

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.

Cited by

2 papers in Pith

Receipt and verification
First computed 2026-07-05T04:17:06.683141Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

86f49b36487a55db7be2cc4af3f45e7370c116ffde12792d7e7b409a525b83ec

Aliases

arxiv: 2204.11051 · arxiv_version: 2204.11051v1 · doi: 10.48550/arxiv.2204.11051 · pith_short_12: Q32JWNSIPJK5 · pith_short_16: Q32JWNSIPJK5W67C · pith_short_8: Q32JWNSI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q32JWNSIPJK5W67CZRFPH5C6ON \
  | 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: 86f49b36487a55db7be2cc4af3f45e7370c116ffde12792d7e7b409a525b83ec
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2c9c9e57cfd5c8b165e94c3b96e7a50bc4ab4e6c64e33a8ea105d59485450af0",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-04-23T11:07:13Z",
    "title_canon_sha256": "c1e66bef1ab43598f9c08c298bd3aef051e9face42a5ef23ceb16659c7db80c1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2204.11051",
    "kind": "arxiv",
    "version": 1
  }
}