Pith Number

pith:UHXFDEJW

pith:2026:UHXFDEJWIC2UDGHU4WG4TOBCL2

not attested not anchored not stored refs pending

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution

Dongxin Guo, Jikun Wu, Siu Ming Yiu

Evolving compact prompt embeddings inside frozen large language models produces more diverse outputs than standard methods.

arxiv:2605.09781 v2 · 2026-05-10 · cs.NE · cs.AI · cs.CL · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{UHXFDEJWIC2UDGHU4WG4TOBCL2}

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.

Claims

C1strongest claim

On HumanEval (164 problems), MBPP, and creative writing benchmarks, QD-LLM achieves 46.4% higher coverage and 41.4% higher QD-Score than QDAIF (p<0.001, 30 runs, Vargha-Delaney A=0.94).

C2weakest assumption

That hybrid semantic-plus-explicit behavior descriptors remain sufficiently independent (NMI = 0.08 ± 0.02) to support the formal coverage bounds of Theorem 1 and that prompt embeddings of ~32K parameters can reliably steer 70B+ frozen LLMs across the tested domains.

C3one line summary

QD-LLM evolves prompt embeddings via neuroevolution in a quality-diversity framework, delivering 46% higher coverage and 41% higher QD-score than prior methods on coding and writing benchmarks.

Receipt and verification

First computed	2026-06-23T01:12:08.168300Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a1ee51913640b54198f4e58dc9b8225ebc9cc008f8a78a4579883a3cfeae8003

Aliases

arxiv: 2605.09781 · arxiv_version: 2605.09781v2 · doi: 10.48550/arxiv.2605.09781 · pith_short_12: UHXFDEJWIC2U · pith_short_16: UHXFDEJWIC2UDGHU · pith_short_8: UHXFDEJW

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/UHXFDEJWIC2UDGHU4WG4TOBCL2 \
  | 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: a1ee51913640b54198f4e58dc9b8225ebc9cc008f8a78a4579883a3cfeae8003

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "217074b293386fa91854a82f0b7692a482d477bf22e4e3dde7079bd30490fa69",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2026-05-10T22:00:15Z",
    "title_canon_sha256": "e9dc7ee6fa6dcd19345458b189f00241e0bab47d5c04212ea8c44fb2f527aa93"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.09781",
    "kind": "arxiv",
    "version": 2
  }
}