Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing | Signal Canvas | ScienceToStartup

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Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing

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Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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Agent Handoff

Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing

Canonical ID coverage-guided-multi-agent-harness-generation-for-java-library-fuzzing | Route /signal-canvas/coverage-guided-multi-agent-harness-generation-for-java-library-fuzzing

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/coverage-guided-multi-agent-harness-generation-for-java-library-fuzzing

MCP example

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  "arguments": {
    "mode": "paper",
    "paper_ref": "coverage-guided-multi-agent-harness-generation-for-java-library-fuzzing",
    "query_text": "Summarize Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing"
  }
}

source_context

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  "query": "Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing",
  "normalized_query": "2603.08616",
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  "paper_ref": "coverage-guided-multi-agent-harness-generation-for-java-library-fuzzing",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Paper mode· single-doc scopescope: coverage-guided-multi-agent-harness-generation-for-java-library-fuzzing

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Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
We present a multi-agent architecture that automates fuzz harness generation for Java libraries through specialized LLM-powered agents. Five ReAct agents decompose the workflow into research, synthesis, compilation repair, coverage analysis, and refinement.
Implicationpartial
Explicitly stated in abstract with clear description of agent roles
Verificationpartial
partial
Evidencepartial
Our generated harnesses achieve a median 26% improvement over OSS-Fuzz baselines
Implicationpartial
Directly stated in abstract with specific numeric result
Verificationpartial
partial
Evidencepartial
outperform Jazzer AutoFuzz by 5% in package-scope coverage
Implicationpartial
Directly stated in abstract with specific numeric comparison
Verificationpartial
partial
Evidencepartial
we introduce method-targeted coverage that tracks coverage only during target method execution to isolate target behavior
Implicationpartial
Explicitly stated as a technical innovation in the abstract
Verificationpartial
partial
Evidencepartial
Generation costs average $3.20 and 10 minutes per harness, making the approach practical for continuous fuzzing workflows
Implicationpartial
Directly stated with specific cost and time metrics
Verificationpartial
partial
Evidencepartial
During a 12-hour fuzzing campaign, our generated harnesses discovered 3 bugs in projects that are already integrated into OSS-Fuzz
Implicationpartial
Directly stated with specific bug discovery results
Verificationpartial
partial
Evidencepartial
Manual harness creation is time-consuming and requires deep understanding of API semantics, initialization sequences, and exception handling contracts
Implicationpartial
Directly stated as motivation for the work
Verificationpartial
partial
Evidencepartial
agent-guided termination that examines uncovered source code to distinguish productive refinement opportunities from diminishing returns
Implicationpartial
Explicitly stated as a technical innovation in the abstract
Verificationpartial
partial

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