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CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone D

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2 SIGNALSFIRST DETECTED 2 April 2026
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23 Mar
Stepwise: Neuro-Symbolic Proof Search for Automated Systems Verification

arXiv:2603.19715v1 Announce Type: new Abstract: Formal verification via interactive theorem proving is increasingly used to ensure the correctness of critical systems, yet

REPORT · HOW · ArXiv CS.AIOPEN STORY
28 Sept
FTB Graph: Determining and Validating First-token Broadcasters and Language-Identity Head Circuits in Multilingual Language Models

arXiv:2609.30954v1 Announce Type: new Abstract: Large language models operating in multilingual contexts must resolve target response languages early in generation, yet the causal

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 May
Generative Recursive Reasoning

arXiv:2605.19376v1 Announce Type: new Abstract: How should future neural reasoning systems implement extended computation? Recursive Reasoning Models (RRMs) offer a promising

REPORT · HOW · ArXiv CS.AIOPEN STORY
13 May
Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers

arXiv:2605.11556v1 Announce Type: new Abstract: Solving complex long-horizon tasks requires strong planning and reasoning capabilities. Although datasets with explicit

REPORT · WHAT · ArXiv CS.AIOPEN STORY
26 Mar
Scaling Attention via Feature Sparsity

arXiv:2603.22300v1 Announce Type: cross Abstract: Scaling Transformers to ultra-long contexts is bottlenecked by the $O(n^2 d)$ cost of self-attention. Existing methods reduce

REPORT · WHERE · ArXiv CS.AIOPEN STORY
17 Jun
Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers

arXiv:2606.18206v1 Announce Type: new Abstract: Looped architectures provide an inductive bias toward learning step-by-step procedures for tasks that require compositional

REPORT · WHAT · ArXiv CS.AIOPEN STORY
13 Apr
SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks

arXiv:2604.08865v1 Announce Type: new Abstract: Proximal Policy Optimization (PPO) is central to aligning Large Language Models (LLMs) in reasoning tasks with verifiable rewards.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
15 Aug
On the Expressive Power of Transformers

arXiv:2608.12671v1 Announce Type: new Abstract: Multi-layer transformers form the critical component of essentially all large language models (LLMs) in use today. Because of their

REPORT · WHEN · ArXiv CS.AIOPEN STORY
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