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Self-generated prompt injections in compaction summaries

model-releasessimon-willison

Self-generated prompt injections in compaction summaries In Our framework for reporting model misalignment OpenAI provide 'six reports on unexpected or concerning model behavior we’ve observed in the

Tutorials

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Self-Supervised Learning for Robust Resonance Mass Regression in Cascade Decays

DGX agent

arXiv:2609.17726v1 Announce Type: cross Abstract: Reconstructing the mass of a heavy resonance from its decay products with missing energy is one of the central tasks that directly determine the sensi

tutorialsarxiv-cs-lg

17 Sept 2026

Semantic CSI Feedback for Beam Selection: When Task-Aware Embeddings from Sparse Pilots Outperform Full-Bandwidth Reconstruction

arXiv:2609.18368v1 Announce Type: cross Abstract: Classical CSI feedback in FDD massive MIMO transmits a compressed reconstruction of the channel, optimizing fidelity to the original signal regardless

researcharxiv-cs-ai

Semantic-ITC: A Frame-wise Indoor Mobile Laser Scanning Dataset and Benchmark for Semantic Segmentation

model-releasesarxiv-cs-cv

arXiv:2609.18493v1 Announce Type: new Abstract: Semantic labels for indoor mobile laser scanning (MLS) frames remain largely absent from current point cloud semantic segmentation benchmarks, which mai

SetPlanner: A Lightweight Plug-in Point-Set Planner for Frozen SAM

model-releasesarxiv-cs-cv

arXiv:2609.18037v1 Announce Type: new Abstract: Segment Anything Models provide reusable priors, yet they require user prompts and cannot support fully automatic instrument segmentation. Automatic pro

SFT or RL for Tool-Calling Agents? A Controlled Study Across Data, Method, and Scale

arXiv:2609.17848v1 Announce Type: new Abstract: Limited controlled evidence exists on how training data, adaptation method, and model scale jointly affect tool-calling performance in language-model ag

Sharp margin-based generalization bounds for realizable SVM

arXiv:2609.17845v1 Announce Type: cross Abstract: Let the exact homogeneous hard-margin support vector machine be trained on (m) independent observations from a Borel probability law on a real Hilbert

ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search

arXiv:2601.23232v4 Announce Type: replace-cross Abstract: In recent years, large language models (LLMs) have made rapid progress in information retrieval, yet existing research has mainly focused on t

Sim-to-Real Traffic Scene Understanding by Decoupling Semantics from Caption Generation with V-JEPA

model-releasesarxiv-cs-cv

arXiv:2609.18562v1 Announce Type: new Abstract: Track 2 of the AI City Challenge 2026 requires both visual question answering (VQA) and traffic event description generation under a challenging synthet

Similarity Pairing with Energy Mover's Distance for Self-Supervised Pre-Training at the LHC

arXiv:2609.17738v1 Announce Type: cross Abstract: Many self-supervised methods for training foundation models at the Large Hadron Collider (LHC) rely on data augmentations to encourage the model to em

Simultaneous Arrival Control for Distributed Multi-Robot Systems with Curvature and Constant-Speed Constraints

arXiv:2607.14781v2 Announce Type: replace Abstract: The simultaneous arrival of multiple mobile robots at a target point is crucial for cooperation tasks such as cooperative encirclement, disaster rel

Six days building a local assistant on a 16 GB Mac. The numbers that changed my design.

I spent the first week of September building a personal assistant over Gemma 4 in Ollama on a 16 GB M1 Pro: Node backend, React web UI, Expo phone client, two-model routing, cross-session memory, RAG

model-releasesr-ollama

Size Matters: Foundation Model for Czech HTML documents

arXiv:2609.18494v1 Announce Type: new Abstract: Creating universal, high-quality representations of web documents in high-traffic industrial environments requires models that are both performant and e

SNOMED CT Concept Recommendation from Masked Clinical Context

arXiv:2609.17855v1 Announce Type: new Abstract: Standardizing clinical language to SNOMED CT supports interoperability, analytics, and reusable phenotyping, but concept recommendation remains difficul

Social Laws for Multi-agent Coordination in Stochastic Environments

arXiv:2609.18929v1 Announce Type: cross Abstract: In multi-agent environments, coordinating agents to prevent interference and ensure robust individual performance is a critical challenge. Previous re

safetyarxiv-cs-ai

Agents

SOL-SLAM: Inverse Compositional Gauss-Newton Direct Registration for Fast Sonar-Only Local SLAM

arXiv:2609.18893v1 Announce Type: new Abstract: Autonomous underwater navigation typically relies on complex and expensive multi-modal sensor suites designed to prioritize global Simultaneous Localiza

agentsarxiv-cs-ro

Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the AC Optimal Power Flow

arXiv:2509.00341v3 Announce Type: replace-cross Abstract: Conic programs arising in physics, quantum information, machine learning, and engineering are often defined over sparse graphs. Although such

Industry

Sources: Emulate, a month-old UK AI startup founded by former Google DeepMind researchers, is in advanced talks to raise as much as 700M at a 3.7B valuation (Financial Times)

Financial Times: Sources: Emulate, a month-old UK AI startup founded by former Google DeepMind researchers, is in advanced talks to raise as much as 700M at a 3.7B valuation — Researchers leaving Big

industrytechmeme

Industry

Sources: SpaceX has discussed buying customer and operational information from troubled or defunct startups as a more affordable data source for AI training (Carmen Arroyo/Bloomberg)

Carmen Arroyo / Bloomberg: Sources: SpaceX has discussed buying customer and operational information from troubled or defunct startups as a more affordable data source for AI training — Elon Musk's Sp

industrytechmeme

Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance

arXiv:2602.17772v3 Announce Type: replace-cross Abstract: Electroencephalography (EEG)-based P300 brain-computer interfaces (BCIs) enable communication without physical movement by detecting stimulus-

Spatially Adaptive Noise Injection

arXiv:2609.18466v1 Announce Type: new Abstract: Diffusion samplers reverse a learned noising process using either stochastic (DDPM) or deterministic (DDIM) updates, which represent endpoints of a sing

SPROUT: The Open-Source Soft Growing Robot for Search and Rescue

arXiv:2609.17781v1 Announce Type: new Abstract: Soft robotic systems have long been theorized as ideal candidates for use in search and rescue operations; however, there have been significant barriers

Stability-Constrained Approximation in Spline KANs: Exact Layer Balancing and Budget-Compatible Saturation

arXiv:2609.17619v1 Announce Type: cross Abstract: Deep spline superposition networks face a tension between approximation order and stability across depth. We study approximation under a hard layerwis

Stable Filters for Generative Modeling of Graph Signals

arXiv:2609.18759v1 Announce Type: cross Abstract: Generating signals on graphs requires permutation-equivariant models that exhibit stability with respect to relative structural perturbations. While r

StableEval Arena: A Cost-Aware Agentic Benchmark for Stablecoin Price Stability Prediction

arXiv:2609.18949v1 Announce Type: cross Abstract: We introduce StableEval Arena, a cost-aware benchmark framework for evaluating agentic AI systems on stablecoin peg-risk prediction. StableEval Arena

Stealthy in Semantics, Antagonistic in Space: Attacking Visible-Infrared Object Detectors via Object-Level Misalignment

arXiv:2609.18133v1 Announce Type: new Abstract: Visible-infrared object detectors are used for robust perception under challenging illumination and weather conditions. Current physical attacks apply c

safetyarxiv-cs-cv

STRADAViT: Self-Supervised Domain Adaptation of Vision Transformer Backbones for Radio Astronomy

arXiv:2603.29660v4 Announce Type: replace-cross Abstract: Next-generation radio astronomy surveys are delivering millions of resolved sources, yet scalable morphology analysis remains difficult across

researcharxiv-cs-cv

STRETCH the Boundaries: A Unified Self-Taught Framework for Progressive LLM Evolution

arXiv:2609.18642v1 Announce Type: new Abstract: Large language models (LLMs) often suffer from capability stagnation in self-improvement training because fixed difficulty levels fail to adapt to their

Local Ai

StrucPhysVideo: Learning Physical Dynamics from Structured Captions and Robot Actions

arXiv:2609.18430v1 Announce Type: new Abstract: Modeling physical dynamics, including how objects move, interact, and change state, is central to video world models for embodied AI. We present StrucPh

local-aiarxiv-cs-cv

Structural Inference under Hidden Agents

model-releasesarxiv-cs-lg

arXiv:2609.18045v1 Announce Type: new Abstract: Recovering latent interaction structures from multi-agent dynamics is important for understanding and predicting interacting systems. Trajectory-based s

Local Ai

Structure is not mechanism: high-gain gated-FFN rows across text and genomic foundation models

arXiv:2609.17599v1 Announce Type: cross Abstract: A small number of unusually high-gain parameters can exert disproportionate effects in transformer language models, but whether analogous structures r

local-aiarxiv-cs-ai

Structured Claim-Level Discourse Representations for Dense Health Narratives

arXiv:2609.18905v1 Announce Type: new Abstract: Health discourse in social media videos often contains densely entangled claims spanning multiple thematic aspects, stances, evidential frames, and rhet

STUNet-Fusion: Spatiotemporal Needle-Tip Localization in Ultrasound Video via Multi-Channel Motion Fusion

arXiv:2609.18546v1 Announce Type: new Abstract: Needle-tip localization in ultrasound remains challenging because the needle may appear weak, discontinuous, or partially invisible, while imaging artif

researcharxiv-cs-cv

Suppressed, Not Erased: A Representational Trace of Edited Facts Survives Even Weight-Free Knowledge Editing

arXiv:2609.18985v1 Announce Type: new Abstract: Knowledge-editing benchmarks certify local correctness, whether an edited model produces the new fact on near-edit prompts but not how much of the origi

SurgRAW: Multi-Agent Workflow with Chain of Thought Reasoning for Robotic Surgical Video Analysis

arXiv:2503.10265v3 Announce Type: replace Abstract: Robotic-assisted surgery (RAS) is central to modern surgery, driving the need for intelligent systems with accurate scene understanding. Most existi

Industry

Survey: in a first, Democrats are more concerned than Republicans about AI's growing role in daily life, at 56% to 49%; 75% of Democrats worry about job losses (Pew Research Center)

Pew Research Center: Survey: in a first, Democrats are more concerned than Republicans about AI's growing role in daily life, at 56% to 49%; 75% of Democrats worry about job losses — For the first tim

industrytechmeme

SVMemAgent: A Streaming Video Memory Agent for Query-Agnostic Online Frame Selection

arXiv:2609.18540v1 Announce Type: new Abstract: Most keyframe selection studies focus on offline settings, assuming access to the full video and query in advance. In contrast, real-world streaming sce

safetyarxiv-cs-cv

Switchable-Polarity Electropermanent Magnet: Reconfigurable Magnetic Fields for Scalable Fluidic Control

arXiv:2603.24811v2 Announce Type: replace Abstract: Scalable control of pneumatic and fluidic networks remains fundamentally constrained by architectures that require continuous power input, dense ext

Symbolic Temporal Supervision of LLM Agents Using Contracts

arXiv:2609.18128v1 Announce Type: new Abstract: Large language model (LLM) agents augmented by tools can automate complex, multi-step tasks, such as web navigation, code generation, and workflow orche

safetyarxiv-cs-ai

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why

arXiv:2603.28917v3 Announce Type: replace-cross Abstract: This work uncovers variational principles behind symmetrizing the Bregman divergences induced by generic mirror maps over the cone of positive

Symmetry without a manifold: intrinsic dimension on orbits

arXiv:2609.17926v1 Announce Type: new Abstract: The standard geometric derivation of neural scaling exponents takes the intrinsic dimension of a data manifold as its input. On modular addition in Z_p

Applications

Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder

arXiv:2609.17808v1 Announce Type: cross Abstract: The increasing adoption of electric vehicles (EVs) is expected to place significant additional demand on residential distribution networks, creating a

applicationsarxiv-cs-lg

T-SANDHI: Tone Sandhi-aware Adaptive Network with Decoupled Hybrid Injection for Low-resource Taiwanese Hokkien Speech Recognition

arXiv:2609.18194v1 Announce Type: new Abstract: In Taiwanese Hokkien automatic speech recognition (ASR), prior studies often treat tone sandhi as a major challenge under the assumption that models fai

Hardware

TabICLv2: A better, faster, scalable, and open tabular foundation model

arXiv:2602.11139v2 Announce Type: replace Abstract: Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstr

hardwarearxiv-cs-lg

TabPFN-3.5: Technical Report

arXiv:2609.17895v1 Announce Type: new Abstract: We introduce TabPFN-3.5, our new flagship Tabular Foundation Model. It significantly outperforms its predecessor, TabPFN-3, and all existing baselines a

Tabular Deep Learning vs Classical Machine Learning for Urban Land Cover Classification

arXiv:2609.19010v1 Announce Type: cross Abstract: Urban Land Cover (ULC) classification plays a crucial role in urban planning, environmental monitoring, and sustainable development. We study this tas

TacBPM: A Tactile-conditioned Behavior Prior Model for Dexterous Reorientation

arXiv:2609.18174v1 Announce Type: new Abstract: Dexterous in-hand manipulation requires policies that coordinate high-DoF hand joints through intermittent, contact-rich interaction. Beyond target-orie

Tutorials

TACTICS: Taxonomy-Aware Intelligent Corpus Sampling for Machine Translation

arXiv:2609.17956v1 Announce Type: new Abstract: Large-scale machine-translation (MT) systems are typically evaluated on random samples from a corpus whose distributional composition is an artifact of

tutorialsarxiv-cs-cl