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Related Articles from SNS
SODA-CitrON: Static Object Data Association by Clustering Multi-Modal Sensor Detections Online
arXiv:2602.22243v3 Announce Type: replace Abstract: The online fusion and tracking of static objects from heterogeneous sensor detections is a fundamental problem in robotics, autonomous systems, and environmental mapping. Although classical data association approaches such as JPDA are well suited for dynamic targets, they are less effective for static objects observed intermittently and with heterogeneous uncertainties, where motion models provide minimal discriminative power with respect...
Collective Asperity Dynamics and the Origin of Static Friction
arXiv:2510.14769v2 Announce Type: replace-cross Abstract: Solid interfaces resist sliding up to a threshold shear force, called static friction, beyond which they start moving and their resistance drops to the kinetic friction. Static friction at rough interfaces has long been described empirically using system-specific coefficients tabulated in engineering handbooks. Here, through nanometer-resolution sliding experiments, we show that it is set by a friction overshoot during the onset of...
PeAR: A Static Binary Rewriting Framework for Binary-Only Fuzzing
arXiv:2606.02126v1 Announce Type: new Abstract: Binary-only fuzzing is a key technique for finding bugs in close-source software. Without access to source code, the fuzzer must rely on static or dynamic binary instrumentation for coverage guidance. In practice, most fuzzers favor dynamic binary instrumentation (DBI), accepting runtime overhead to avoid the perceived accuracy and soundness challenges associated with static binary instrumentation (SBI).
AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
arXiv:2606.09682v1 Announce Type: new Abstract: AutoMegaKernel (AMK) compiles a HuggingFace Llama-family model into a single persistent cooperative CUDA kernel that runs the whole forward pass in one launch, with no per-model hand-written CUDA. The contribution is the system, not raw speed. A frozen schedule-IR validator statically certifies deadlock-freedom and race-freedom via static graph checks (not a mechanized proof), so an unsafe agent-proposed schedule is rejected before launch:...
Trajectory-Aware Node Contributions and the Limits of Static Controllability
arXiv:2606.03067v1 Announce Type: cross Abstract: A recurring data mining task in complex networks is to determine how individual nodes contribute to system behavior. Existing approaches rely on either static-graph centralities or control-theoretic quantities such as controllability Gramians, which assume linear, time-invariant dynamics. Estimated systems, however, are typically nonlinear and time-varying.
Trajectory-Aware Node Contributions and the Limits of Static Controllability
Announce Type: replace-cross Abstract: A recurring data mining task in complex networks is to determine how individual nodes contribute to system behavior. Existing approaches rely on either static-graph centralities or control-theoretic quantities such as controllability Gramians, which assume linear, time-invariant dynamics. Estimated systems, however, are typically nonlinear and time-varying.
Static Effective Hamiltonians for Molecular Systems through RPA-based downfolding
arXiv:2606.07287v1 Announce Type: new Abstract: Green's function-based downfolding methods construct effective Hamiltonians of reduced dimension that capture dynamical correlations of an electronic environment through effective potentials acting on the active space only. Using methods based on the constrained random phase approximation (cRPA) and moment RPA (mRPA), we construct static effective Hamiltonians that include screening through the environment.
LMM-IR: Large-Scale Netlist-Aware Multimodal Framework for Static IR-Drop Prediction
arXiv:2511.12581v2 Announce Type: replace Abstract: Static IR drop analysis is a fundamental and critical task in the field of chip design. Nevertheless, this process can be quite time-consuming, potentially requiring several hours. Moreover, addressing IR drop violations frequently demands iterative analysis, thereby causing the computational burden.
Anomalous Enhancement of Yield Strength due to Static Friction
arXiv:2511.06807v2 Announce Type: replace-cross Abstract: Friction is fundamental to mechanical stability across scales, from geological faults and architectural structures to granular materials and animal feet. We study the mechanical stability of a minimal friction-stabilized structure composed of three cylindrical particles arranged in a triangular stack on a floor under gravity. We analyze the yield force, defined as the threshold compressive force applied quasi-statically from above at...
Beyond Static Priors: Dynamic Neural Guidance for Large-Scale Ant Colony Optimization
arXiv:2606.04039v1 Announce Type: new Abstract: Neural-guided Ant Colony Optimization (ACO) suffers from a fundamental training-inference misalignment: policies are typically trained to generate static priors (e.g., heatmaps), yet deployed to guide iterative, long-horizon search processes. In this paper, we present DyNACO, a novel framework that achieves dynamic neural guidance by periodically observing the pheromone distribution and the incumbent solution. To make DyNACO tractable at scale,...