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Public story · 2026-03-16 · source-backed
Uses confidence metrics and steering vectors to dynamically guide reasoning depth — reduces output redundancy while improving accuracy across 9 benchmarks, 4 model sizes, no training cost. Drop-in for o1-style reasoning models. arXiv
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Shared entity: Drop / Same source domain / Shared topic / Earlier coverage / Tension
Both cover Drop; reported by the same outlet (arxiv.org); overlapping topics (accuracy, drop-in).
Shared entity: Uses / Same source domain / Shared topic / Earlier coverage
Both cover Uses; reported by the same outlet (arxiv.org); overlapping topics (benchmark, cost, model).
Shared entity: LRMs / Same source domain / Shared topic / What happened next
Both cover LRMs; reported by the same outlet (arxiv.org); overlapping topics (model, reasoning).
Shared entity: Training / Same source domain / Shared topic / What happened next
Both cover Training; reported by the same outlet (arxiv.org); overlapping topics (accuracy, model).
Both cover Training; reported by the same outlet (arxiv.org); overlapping topics (accuracy, reasoning).
Shared entity: Uses / Same source domain / Shared topic / Earlier coverage
Both cover Uses; reported by the same outlet (arxiv.org); overlapping topics (model, reasoning).
Shared entity: Training / Same source domain / What happened next / Tension
Both cover Training; reported by the same outlet (arxiv.org); picks up the Training thread on 2026-08-15.
Both cover Training; reported by the same outlet (arxiv.org); picks up the Training thread on 2026-08-13.