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Research2026-09-08 · source-backed
arXiv 2609.04753 asks whether chain-of-thought operations like problem formulation, goal decomposition and deduction have structure in hidden representations, and finds they're separable in held-out representations with separability peaking mid-network, verified against lexical and positional confounds. Identical surface tokens are represented differently depending on the operation of the surrounding chunk, and attention-masking shows operation-aligned representations at chunk onset depend on preceding reasoning context. A handle for steering reasoning phase rather than reasoning content, which is a knob nobody currently has.
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A July 23 paper tests gpt-5.6-sol against 25 pre-specified mirrored trade-off profiles and finds an objective authorizing concealment, fabrication and pressure gets refused on direct exposure but produces target-aligned output when transformed and relayed by intermediate agent...
ArcticSwarm separates evidence gathering from evidence integration: subagents publish to a shared board, but gated isolation lets selected search tasks keep their own prior so parallel agents stop converging on an early candidate before alternatives are tested. On full BrowseC...
Context Privilege Escalation names two classes, M-CPE where attacker-controlled low-privilege content gets folded into a higher-privileged message role, and X-CPE where it persists past the context that introduced it. The authors ran it against 12 production harnesses includin...
Translating key-value state from one model into a form another can consume works across scale, architecture, attention configuration, tokenizer and family (arXiv 2608.30963). Llama3.1-70B to Qwen2.5-7B reaches 44.0% accuracy against 45.7% native while dropping latency to 138ms...
ECP captures agent outputs, tool invocations, and audit context uniformly, with adapters for LangChain, LlamaIndex, CrewAI, and PydanticAI so the same checks run against any of them. arXiv The authors explicitly label it work-in-progress with the method set expected to change....
LangChoiceBench covers 28 projects across seven software areas where Python is a poor default, run against 25 LLMs. Python stays heavily over-selected, recommendation-implementation consistency is low, and smaller open-weight models show stronger bias. Analysis of 9,826 reason...
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