AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper studies a focused question: whether a small amount of targeted supervision can improve a tool agent’s choice of immediate recovery actions under controlled failures, and introduces Mini Recovery Tuning, a deterministic benchmark and training protocol for evaluating this question.
Permuting complete weight vectors between samples quantifies the same role-state dependence while preserving their empirical distribution in Persistent Tri-State Message Passing, which combines persistent additive, subtractive, and inactive roles with weights computed from each sample's endpoint states.
STAR is presented, a structure-aware adaptive retrieval framework for RAG that treats this mismatch as a problem of diagnosing evidence sufficiency and benefits from a control signal that preserves structurally distinct insufficiency patterns rather than collapsing them into a single scalar confidence estimate.
Following psychotherapy-grounded RAG systems such as coTherapist, a compact and controllable guideline corpus comprising coping-strategy, psychoeducational, and safety resources is constructed and operationalized using three draft-conditioned utility dimensions: psychoeducational need, coping need, and response specifi...
This work provides theoretical guarantees for the selective blocking rule by deriving the signed-versus-blocked decision boundary, separating signed-matrix effects from nonnegative block-operator spectral arguments, and showing when adaptive blocking preserves class-dependent components.
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