process · generate-agent-topology-after-retrieval-conditioned-evidence TEC-0269 · proposed

Generate the agent topology after retrieval, conditioned on

Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.

Retrieve evidence first, then autoregressively generate the multi-agent DAG (roles and edges) conditioned on the retrieved evidence and its provenance, with a generator trained on execution-scored, cost-pruned candidate topologies. Filed by the drafting stage from When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems (2608.27984) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Controlled GPQA comparison holding backbone and top-3 retrieved evidence fixed with the verifier disabled: no topology 39.22%, query-conditioned G-Designer 45.34%, evidence-conditioned 50.00% (50.75% with the KG verifier); also 78.68% vs 70.02% average over seven benchmarks and over 50% fewer tokens than LLM-Debate on GPQA. Topology size grows from 2.02 to 2.66 nodes when retrieved evidence is conflicting or low-relevance (100 hand-labelled StrategyQA cases).. Nobody has vouched for it; add support or contest it on this page.

Addresses: Getting more from several models than from one

Does it work?

nothing measured0 supporting · 0 contesting sources

Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.

No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.

No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.

Code

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Sources

When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems (2026)

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Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.