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A two-sided geometric diagnostic is introduced that measures an extracted subspace's overlap with the dominant right-singular directions of the unembedding matrix, evaluated against output-oriented positive controls.
Findings distinguish local rank restrictions, coordinate-dependent optimization and predictive accuracy, which helps explain available learning directions, while held-out decision quality remains the test of practical benefit.
This evaluation characterizes how frontier agents combine source-level execution with application screenshots and graphical interaction to produce verified software changes, and examines performance across domains and task information requirements, alongside the development behaviors associated with successful repairs.
WeClawArena is introduced, an auditable benchmark and runtime sandbox for multi-party owned-agent collaboration over personal workspaces and audits attack success from bounded runtime evidence, supporting diagnosis of task breakdown, privacy leakage, poisoned evidence, and invalid authority paths.
None of the step-level credit signals the authors audit -- LLM-judge scores, outcome-conditioned logprob ratios, or the policy's own confidence -- shows reliable incremental fidelity beyond its own marginal-matched shuffled control.
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