Claims Browser

Behavior-aware verification with explicit attribution enables more reliable and sample-efficient harness evolution under constrained interaction budgets

"These results demonstrate that behavior-aware verification with explicit attribution enables more reliable and sample-efficient harness evolution under constrained interaction budgets."

Same-rollout relative calibration is a practical way to distinguish revisit-specific consistency from generic temporal stability in video world models

"these results support same-rollout relative calibration as a practical way to distinguish revisit-specific consistency from generic temporal stability."

A proper world model should reproduce not just a single plausible trajectory but the full distribution of possible behaviors under the same initial conditions

"a world model should reproduce not only a plausible trajectory, but also the distribution of possible behaviors under the same initial observation and action"

Action preferences are useful for tracking agentic misalignment during reasoning

"These findings suggest that action preferences are useful for tracking agentic misalignment during reasoning."

ES should be positioned as a distinct reasoning post-training paradigm rather than a less effective, memory-efficient alternative to GRPO

"These findings position ES as a distinct reasoning post-training paradigm rather than a less effective, memory-efficient alternative to GRPO."

A shift towards standardised, physics-aware orchestrators that connect tools across the EDA flow is needed for more reliable hardware design

"motivating a shift towards a standardised, physics-aware orchestrator that connects tools and agents across the EDA flow for more reliable and accessible hardware design."

Progress in vision generative AI has been driven by output quality, with hardware evolving reactively to accommodate growing model demands

"progress in vision generative AI has been driven by output quality, with hardware evolving reactively to accommodate growing model demands"

Vision generative models are equally needed in applications that operate under strict hardware constraints at the edge, including autonomous vehicles, agricultural sensors, and mobile devices

"vision generative models are equally needed in applications that operate under strict hardware constraints at the edge, including autonomous vehicles, agricultural sensors, and mobile devices"

Machine learning provides value as a profit-scored correction to standard advice rather than as a replacement for it

"Machine learning therefore pays as a profit scored correction to standard advice, not as its replacement."

There is a need for longitudinal mental health agents that selectively retrieve history, ground temporal evidence, and reason over interpretable behavioral features

"BALMS highlights the need for longitudinal mental health agents that selectively retrieve history, ground temporal evidence, and reason over interpretable behavioral features."

Retrieval-based systems that are silent by default and only flag high-risk matches are more appropriate than predictive systems in high-volume clinical settings due to alert fatigue concerns

"The system is retrieval-based rather than predictive, and is silent by default, raising a flag only for high-risk matches a design grounded in the alert-fatigue literature."

Head importance scoring can improve efficiency and reduce redundancy in transformer architectures

"The proposed importance score can improve efficiency and redundancy within transformer architectures."

The high latency of LLM calls inverts a classical constraint in adaptive query processing where online learners had to stay lightweight

"The latency window inverts a design constraint of classical adaptive query processing, where online learners had to stay lightweight to avoid dominating the predicates they optimize."

Transition realization is a consequential architectural choice in latent World Action Models

"These results establish transition realization as a consequential architectural choice in latent WAMs."

Agentic data generation must maintain consistency among environments, tasks, interactions, and success signals while producing experience that is useful rather than merely abundant

"Agentic data generation must maintain consistency among environments, tasks, interactions, and success signals while producing experience that is useful rather than merely abundant."

The central challenge in agentic data generation is not simply to generate more data, but to continually allocate valid, informative, and non-redundant experience as agents and environments evolve

"the central challenge is not simply to generate more data, but to continually allocate valid, informative, and non-redundant experience as agents and environments evolve."

SCIT contributes a cache-level diagnostic and a competence-gated carrier map rather than a universal latent-tail claim, showing that mechanism behavior is checkpoint-specific.

"SCIT therefore contributes a cache-level diagnostic, a checkpoint-specific GPT-2 arithmetic mechanism, and a competence-gated carrier map rather than a universal latent-tail claim."

Development of frontier models is commonly perceived to be exclusive to a small number of heavily funded players, creating information, economic and power asymmetry

"The development of frontier models is commonly perceived to be the exclusive remit of a small number of heavily funded players, creating an information, economic and power asymmetry between developers and the diverse user base of modern AI"