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AI agents keep long-term memory, much of which comes from web pages and tool results. Agent harnesses, the software that runs the model, do not record who may act on this memory, so an instruction hidden in a fetched page can be treated as the user's own instruction. We propose ClawMMU, a protection layer that labels e...
Tests play two roles in automated program repair (APR): they are the evidence that accepts a patch, and they are repository artifacts that may themselves need repair. Benchmarks resolve the tension by making evaluator-owned tests immutable; deployment cannot, because tests legitimately evolve with the code they check....
This work reconstructs a coupled-fact graph as reconstructing a coupled-fact graph: at each edit, a required fact comes from recent context or parametric memory, and the facts covered by neither form coherence debt.
Large language models (LLMs) can implement row-level semantic transformations over tabular data, but a general-purpose model reserves the same accelerator resources even when every row uses one fixed prompt. IOLM-DB compiles that recurring prompt–column pair into an operator sized to the work it actually does. It sampl...
The irreversibility budget is proposed, a cumulative account of residual value-at-risk that a trusted runtime maintains for each principal across agents, workflows, and tenants.
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