arXiv:2603.25802v1 Announce Type: new Abstract: Computational pathology relies on effective representation learning to support cancer research and precision medicine. Although self-supervised learning has driven major progress at the patch and whole-slide image levels, representation learning at the single-cell level remains comparatively underexplored, despite its importance for characterizing cell types and cellular phenotypes. We introduce LEMON (Learning Embeddings from Morphology Of Nuclei), a self-supervised foundation model for scalable single-cell image representation learning. Trained on millions of cell images from […]

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arXiv:2601.15330v1 Announce Type: new Abstract: Large Language Models (LLMs) in multi-turn conversations often suffer from a “lost-in-conversation” phenomenon, where they struggle to recover from early incorrect assumptions, particularly when users provide ambiguous initial instructions. We find that standard post-training techniques like Reinforcement Learning with Verifiable Rewards (RLVR) exacerbate this issue by rewarding confident, direct answers, thereby inducing overconfidence and discouraging the model from seeking clarification. To address this, we propose Illocution-Calibrated Policy Optimization (ICPO), a novel training framework […]

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Reliable agentic AI requires not only accurate reasoning and adaptive control, but also mechanisms that preserve reliability over time. While recent work has introduced system-level evaluation frameworks (e.g., HB-Eval) and real-time control architectures (e.g., Adapt-Plan), the question of how reliability is retained across an agent’s operational lifespan remains largely unaddressed. Existing memory mechanisms typically store experiences based on recency or salience, inadvertently allowing low-quality behaviors to accumulate and degrade long-term performance.This paper introduces Evaluation-Driven Memory (EDM), a persistence […]

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Claude’s new constitution Late last year Richard Weiss found something interesting while poking around with the just-released Claude Opus 4.5: he was able to talk the model into regurgitating a document which was not part of the system prompt but appeared instead to be baked in during training, and which described Claude’s core values at great length. He called this leak the soul document, and Amanda Askell from Anthropic quickly confirmed that it was indeed part of Claude’s […]

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This work presents a lightweight super-resolution (LiteSR) neural network for depth and intensity images acquired from a consumer-grade single-photon avalanche diode (SPAD) array with a 48×32 spatial resolution. The proposed framework reconstructs high-resolution (HR) images of size 256×256. Both synthetic and real datasets are used for performance evaluation. Extensive quantitative metrics demonstrate high reconstruction fidelity on synthetic datasets, while experiments on real indoor and outdoor measurements further confirm the robustness of the proposed approach. Moreover, the SPAD sensor […]

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There is a quiet shift happening in software development. For decades, the most valuable skill for a developer was the ability to write code efficiently and correctly. Entire careers were built around mastering frameworks, memorizing patterns, and becoming faster at turning requirements into working software. But the rise of AI coding agents is changing that equation. Today, machines are becoming exceptionally good at the one thing developers spent years mastering: churning out code. Tools like OpenAI’s ChatGPT and […]

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arXiv:2603.23666v1 Announce Type: new Abstract: Origami-inspired robots offer rapid, accessible design and manufacture with diverse functionalities. In particular, origami robots without conventional electronics have the unique advantage of functioning in extreme environments such as ones with high radiation or large magnetic fields. However, the absence of sophisticated control systems limits these robots to simple autonomous behaviors. In our previous studies, we developed a printable, electronics-free, and self-sustained oscillator that generates simple complementary square-wave signals. Our study presents a […]

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The previous post looked at tightly clustered primes. This post looks at the opposite, large gaps between primes. Riecoin is a cryptocurrency that uses finding prime clusters as its proof of work task. Gapcoin uses finding prime gaps as its proof of work task. There’s some nuance to defining prime gaps. It’s trivial to produce a gap of any size. For example, [n! + 2, n! + n] is an interval of length n − 1 that contains no […]

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