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This paper addresses the important security challenge posed by agentic browsers, which integrate autonomous AI agents capable of performing web tasks via natural language instructions
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This paper investigates the security risks that arise when large language model (LLM) agents have the capability to execute privileged system actions, focusing on the OpenClaw self-hosted multi-age…
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This paper addresses a critical failure mode in generative latent dynamics models used for robotic control and planning — local insensitivity to control inputs
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SCDP integrates a multi-scale ResNet-18 image encoder to capture both coarse scene context and fine-grained local details, and samples point-wise visual features aligned with evolving end-effector …
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This paper addresses the challenge of representing heterogeneous patient care trajectories in routine healthcare data where patients differ in diagnostic, treatment sequences, timing, and event doc…
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This paper addresses the high computational and energy cost of Proof-of-Work (PoW) blockchain consensus by focusing on accelerating Proof-of-Space (PoSp) plot generation, a more energy-efficient al…
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This paper addresses the challenge of understanding the analytic structure of Friedmann-Robertson-Walker (FRW) cosmological wavefunction integrals at arbitrary loop order in conformally-coupled sca…
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This paper presents a comprehensive catalogue of large-scale cosmic structures—voids and knots (superclusters)—in the local Universe out to redshift z=0.1, using the updated peculiar velocity datas…
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This paper addresses the fundamental challenge in detecting Earth-analog exoplanets through extreme-precision radial velocity (EPRV) measurements — the contamination of stellar spectra by complex sp…
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AgentBeats addresses the fragmented and brittle state of evaluating increasingly diverse agent systems (e.g., coding, web, UI agents) by introducing Agentified Agent Assessment (AAA), a standardize…
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Agents-K1 addresses a critical gap in current large language model (LLM)-based research agents by focusing on scientific knowledge orchestration rather than only agent orchestration
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This paper addresses the challenge of automating the design of high-performing quantum circuits, a process historically reliant on human expert intuition and iterative manual refinement
