Beyond Depth and Width: The Information-Slack Dilemma in Streaming Test-Time Compute

The paper discusses how the same computational task can require different reasoning strategies depending on the order in which evidence arrives, introducing the concept of an "information‑slack dilemma." It argues that early computation may be useful only if its benefits outweigh the costs of later verification, invalidation, and recovery, and proposes a research agenda focused on selective recovery and predictive policies. The authors emphasize evaluating these approaches by separating early‑execution effects, deployment value versus full‑input alternatives, and the added value of predictive policies while considering shared‑resource costs.

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