• 2026-06-24The Two Arrows of Pain: Mechanisms of Pain Related to Meditation and Mental States of Aversion and Identification · Valentina Nicolardi et al.Buddhist psychology has a metaphor known as the "two arrows": the first arrow is physical pain itself, the second arrow is one's mental reaction to that pain (resisting it, identifying with it, feelin…
• 2026-06-24Pain Catastrophizing: A Critical Review · Phillip Quartana et al.When someone facing pain begins to ruminate on it, feels it's unbearable, and feels completely helpless — this isn't just "weakness of character." It's a cognitive process with a clear structure, that…
• 2026-06-24The n-of-1 Clinical Trial: The Ultimate Strategy for Individualizing Medicine? · Elizabeth Lillie et al.The gold standard of medical clinical trials is to recruit hundreds or thousands of people, run a randomized controlled trial, and arrive at a conclusion about "what works for most people." But "works…
• 2026-06-24Letting Go of the "Unwell Self" in Chronic and Life-Challenging Conditions · Chloe Wells et al.When a person is diagnosed with a chronic illness, their identity often reorganizes around it — "patient" becomes a central label, while dimensions like "friend," "parent," or "someone with interests"…
• 2026-06-24If LLMs Have Human-Like Attributes, Then So Does Age of Empires II · Adrian de WynterIf a large language model (LLM) is considered to have "human-like attributes" — emotion, self-awareness, moral judgment — then, in principle, any sufficiently powerful "substrate" could exhibit the sa…
• 2026-06-24The Effects of AI Anthropomorphism on Trust and Responsibility · Victoria Oldemburgo de Mello et al.When an AI assistant introduces itself by name, expresses concern, and remembers what you said earlier, you trust it more — that's the intuition. This paper quantifies that effect across two studies, …
• 2026-06-21SkillComposer: Inference-Time Adaptive Evolution of Agent Skills for LLMs · Qi ZhangThis paper explores how an LLM-driven agent can autonomously construct, optimize, and distill reusable "Agent Skills" at inference time [Abstract]. Traditional skill-extraction methods typically rely …
• 2026-06-21G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems · Guibin ZhangThis paper targets the missing self-adaptive and self-evolving capacity in LLM-driven multi-agent systems (MAS), arguing that the root bottleneck is the lack of a memory mechanism designed specificall…
• 2026-06-14Neural Population Dynamics of Human Working Memory: Memory Is Not Storage, It Is TransformationThis is a bioRxiv preprint by Hsin-Hung Li and Clayton E. Curtis (Department of Psychology and Center for Neural Science, New York University), studying how working memory representations evolve over …
• 2026-06-14Deficient Executive Control in Transformer Attention: The Stroop Test Reveals What LLMs Cannot DoThis is a bioRxiv preprint by Suketu Patel, Hongbin Wang, and Jin Fan (Queens College, CUNY / Texas A&M University College of Medicine). The paper uses psychology's classic conflict test — the Stroop …
• 2026-06-10Microglia Function in Central Nervous System Development and Plasticity · Dorothy P. SchaferDorothy P. Schafer and Beth Stevens systematically synthesize the physiological functions of microglia in CNS development and plasticity. Long misunderstood as mere responders in pathological states, …
• 2026-06-09A New Perspective on Synaptic Pruning · Soyon HongThis paper delves into the role and mechanisms of microglia-mediated synaptic pruning under physiological and pathological conditions. The authors Soyon Hong, Lasse Dissing-Olesen, and Beth Stevens pr…
• 2026-06-09Active Forgetting and Neuropsychiatric Diseases · Jacob A. BerryIn this Expert Review, Jacob A. Berry, Dana C. Guhle, and Ronald L. Davis comprehensively elucidate the neurobiological mechanisms of "active forgetting" and their relationship with neuropsychiatric d…
• 2026-06-06Action-Level Mental Model Dataset for Agent Collaboration · Jiaju ChenThis paper introduces ALMANAC, the first dataset of Action-Level Mental Model Annotations for human-agent collaboration. Although Large Language Model (LLM) agents possess multi-step reasoning and pla…
• 2026-06-06Agent Memory: System Characterization and Implications for Long-Horizon Workloads · Yasmine OmriThis paper presents the first system-level characterization of Agent Memory Systems for Large Language Models (LLMs). As LLM agents are increasingly deployed in long-horizon tasks requiring continuous…
• 2026-06-06The Era of Experience: Reinforcement Learning Beyond Human Data · David SilverThis paper is written by David Silver and Richard S. Sutton (the text is a preprint of a chapter in the forthcoming book Designing an Intelligence to be published by MIT Press). The paper explores how…

This is one source-grounded reading, not a replacement for the original. Every point is anchored to its source, so you can check it yourself — and corrections are welcome.

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