model cascades

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papersTODAY 04:00 UTC

Paper proposes residual-completion method for stateful handoffs between AI agents

A new arXiv preprint addresses the problem of transferring control between tool-using AI models without discarding work already done. The authors frame it as commitment-constrained residual completion, where a handoff must carry over accepted decisions, effects already produced, and outstanding obligations rather than restarting the task. The approach targets routing and cascade setups that cut costs by passing control between models.

agents/arxiv/tool-use/model-routing

papersSEP 12 04:00 UTC

Calibration-Aware Uncertainty Cascades for Heterogeneous Model Collaboration

A new arXiv preprint proposes a routing method for combining multiple models that uses calibration-aware uncertainty estimates to decide when to escalate a query to a larger, more expensive model. The approach aims to avoid the rigidity of trained routers, which are tied to fixed cost or accuracy trade-offs, while still balancing predictive quality against inference cost. The work targets heterogeneous model collaboration settings where different models offer complementary strengths.

research/model-routing/uncertainty/inference-cost