Pith Number

pith:GRYQWRJ2

pith:2026:GRYQWRJ2732XXBIJ7EECZWLLYD

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Helix: A Dual-Helix Co-Evolutionary Multi-Agent System for Prompt Optimization and Question Reformulation

Kewen Zhu, Liping Yi, Qinghua Hu, Xiang Li, Zhiming Zhao

Helix jointly optimizes question reformulation and prompt instructions via a three-stage co-evolutionary multi-agent framework.

arxiv:2603.19732 v2 · 2026-03-20 · cs.MA

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Claims

C1strongest claim

We propose a unified multi-agent system (Helix) that jointly optimizes question reformulation and prompt instructions through a structured three-stage co-evolutionary framework... achieving up to 3.95% performance improvements across tasks with favorable optimization efficiency.

C2weakest assumption

That question formulation and prompt design are inherently interdependent in a manner that allows dual-track co-evolution between specialized agents to produce complementary improvements unavailable to single-sided optimization methods.

C3one line summary

Helix introduces a three-stage dual-helix co-evolutionary multi-agent framework that jointly optimizes question reformulation and prompt instructions, reporting up to 3.95% gains on 12 benchmarks versus 6 baselines.

References

34 extracted · 34 resolved · 0 Pith anchors

[1] Primary rule:Enclose key pronouns (e.g., [their]) in brackets within the provided sentence to ensure they are visually distinct and immediately identifiable

[2] Secondary rule:Apply the brackets uniformly to all instances of the pronoun in the sentence and related options to maintain consistency

[3] Table 11.Original question from the Disambiguation QA task before optimization

[4] Primary rule:Include a concise clarification in the question explicitly stating whether the path is open, closed, or subject to specific rules about near-collinear points, overlapping paths, or self-i

[5] Secondary rule:Add this clarification as a note in parentheses or as a short sentence at the end of the question, ensuring it integrates naturally without disrupting readability or overloading the que

Formal links

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Cited by

1 paper in Pith

Prompt Optimization Is a Coin Flip: Diagnosing When It Helps in Compound AI Systems

Receipt and verification

First computed	2026-05-20T00:01:40.343074Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

34710b453afef57b8509f9082cd96bc0ce5f1fdc6c065ee29248ff348b7d1a01

Aliases

arxiv: 2603.19732 · arxiv_version: 2603.19732v2 · doi: 10.48550/arxiv.2603.19732 · pith_short_12: GRYQWRJ2732X · pith_short_16: GRYQWRJ2732XXBIJ · pith_short_8: GRYQWRJ2

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GRYQWRJ2732XXBIJ7EECZWLLYD \
  | 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: 34710b453afef57b8509f9082cd96bc0ce5f1fdc6c065ee29248ff348b7d1a01

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "49bd8160e3b3ae794198737db1f7bf408c6d55b38a26f4337920402706fe8b6d",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.MA",
    "submitted_at": "2026-03-20T08:16:09Z",
    "title_canon_sha256": "f18e46796a7013cfe138ebca1526dba118f935da4831ae74669fd97b5c03d9b6"
  },
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  "source": {
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    "kind": "arxiv",
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}