pith. sign in
Pith Number

pith:H3VXKV2I

pith:2026:H3VXKV2IE2NHXEYFBNJDPBBWSY
not attested not anchored not stored refs pending

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery

Huan Xiong, Jianshu Zhang, Nanyang Ye, Qinying Gu, Xinzhe Yuan, Yuqiang Li, Zhuo Chen

arxiv:2605.17976 v1 · 2026-05-18 · cs.AI · math.OC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H3VXKV2IE2NHXEYFBNJDPBBWSY}

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 2026-05-20T00:05:09.066858Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3eeb755748269a7b93050b52378436963716f39626f7e6582305c39b8f47f8e5

Aliases

arxiv: 2605.17976 · arxiv_version: 2605.17976v1 · doi: 10.48550/arxiv.2605.17976 · pith_short_12: H3VXKV2IE2NH · pith_short_16: H3VXKV2IE2NHXEYF · pith_short_8: H3VXKV2I
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H3VXKV2IE2NHXEYFBNJDPBBWSY \
  | 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: 3eeb755748269a7b93050b52378436963716f39626f7e6582305c39b8f47f8e5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d2aab9034585c12a5c0213d0a307c0f92ddd54361abc6bd40c6ed72adbe1389e",
    "cross_cats_sorted": [
      "math.OC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-18T07:30:25Z",
    "title_canon_sha256": "fd805462c066dd61e7db5dbbcd9ba09f2cbe5ee48e99dd2dc362e9d9f93b8fb0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17976",
    "kind": "arxiv",
    "version": 1
  }
}