Verification Tree Architecture proposed to address bug report flooding from AI-generated submissions in software ecosystems

A position paper introduces the Verification Tree Architecture, a framework designed to manage high-volume bug reports generated by Large Language Models and Autonomous Coding Agents, which have reduced the marginal cost of bug report creation to near zero.

The system reframes bug reports as probabilistic states within a hierarchical lineage graph rather than isolated text entries, interprets duplicate discoveries as Confidence Reinforcement Signals, repositions AI from truth verification to Attention Router, and includes Time-based Natural Filtering to allow hallucination-driven reports to decay passively.

Key technical components include the VerificationNode schema, a Confidence Score accumulation formula with environment diversity weighting, Reputation-Based Reporter Tiers resistant to Sybil attacks, Variant Branching Dynamics, and Collapse Mechanics for attention saturation management.

The paper is framed as a conceptual proposal intended for open-source maintainers, platform engineers, and AI tooling developers addressing structural challenges in automated bug reporting.