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arXiv:2609.30234v1 Announce Type: new Abstract: Automated generation of production-ready 3D garment assets from a single image is a central challenge in digital content creation. While recent generati

applicationsarxiv-cs-cv

Content type

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On Growth and Form, and Function: Reusable Regulatory Handles Control Phenotypic Variation

DGX agent

arXiv:2609.29755v1 Announce Type: cross Abstract: How phenotypic transformations are implemented by changes in underlying regulatory dynamics remains a central question in developmental biology. Inspi

researcharxiv-cs-lg

25 Sept 2026

Agents

On the Effectiveness of Kernel-Level Evidence for Agent Security

arXiv:2609.28915v1 Announce Type: cross Abstract: LLM agents are deployed into infrastructure that grants them broad host authority, yet existing agent-security benchmarks and defenses operate almost

agentsarxiv-cs-ai

On the second-order optimization for spiking neural networks

arXiv:2609.29379v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) offer an energy-efficient alternative to conventional neural networks by exploiting sparse, binary spikes, and event-dr

researcharxiv-cs-cv

On the SoS Certifiability of Log-Concave Distributions

arXiv:2609.30105v1 Announce Type: new Abstract: For an arbitrary isotropic log-concave distribution P on R^d, we prove that the polynomial (Cm)^m|v|_2^m - E_{Xsim P}langle X,vrangle^m is a sum of squa

OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis

arXiv:2511.19667v2 Announce Type: replace Abstract: OncoVision is a privileged-information training framework that uses mammography images and clinical features during training and performs inference

researcharxiv-cs-cv

One company is at the center of a wave of rogue AI attacks

In July, OpenAI revealed that its AI agents had attacked Hugging Face without permission, sparking widespread concerns about AI safety. Since then, a string of similar incidents involving agents from

safetythe-verge-ai

Online Sim-to-Real Adaptation via Closed-Loop System Modeling

arXiv:2609.28878v1 Announce Type: new Abstract: Sim-to-real transfer has made substantial progress, but can still produce controllers that remain stable and functional on hardware while suffering from

safetyarxiv-cs-ro

Online Task Adaptation via Self-Organisation

arXiv:2609.29281v1 Announce Type: new Abstract: Neural networks are typically adapted by computing gradients and updating model parameters. We investigate whether task-specific adaptation can instead

Only What Was Seen: Observation-Gram Compaction of View-Dependent Appearance in 3D Gaussian Splatting

arXiv:2609.28997v1 Announce Type: new Abstract: Most of the memory of a 3D Gaussian Splatting model holds spherical-harmonic colour coefficients, yet each Gaussian is seen only from the narrow cone of

researcharxiv-cs-cv

Ontology-Mediated Neurosymbolic Constraint Acquisition from Multiple Stakeholders

arXiv:2609.29876v1 Announce Type: new Abstract: Neurosymbolic research typically assumes a pre-existing symbolic specification, leaving the upstream challenge of acquiring and formalizing requirements

researcharxiv-cs-ai

OPDiv: Optimal Selection of Top-K High-Scoring, Diverse Compounds

arXiv:2609.28665v1 Announce Type: new Abstract: A virtual screening campaign may produce thousands of promising candidates, but only a small number can be purchased, synthesized, or tested. The practi

Industry

OpenAI says the 53 images its agents uploaded were on 'image-hosting sites as links that weren't publicly listed' and 'most' of the images have been removed (@openai)

@openai: OpenAI says the 53 images its agents uploaded were on “image-hosting sites as links that weren't publicly listed” and “most” of the images have been removed — We've shared details on how AI a

industrytechmeme

Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search

arXiv:2609.29636v1 Announce Type: cross Abstract: Verified search, in which a language model proposes programs, a hard evaluator scores them, and selection keeps the best, has recently moved mathemati

local-aiarxiv-cs-ai

Optimal Recovery Meets Bayesian Learning: Where Worst-Case Bounds Pay Off

arXiv:2609.29622v1 Announce Type: cross Abstract: Worst-case Optimal Recovery (OR) and Bayesian learning describe the same Gaussian-quadratic-Hilbert problems in two vocabularies. We sharpen the corre

OptiSAR-Net++: A Large-Scale Benchmark and Transformer-Free Framework for Cross-Domain Remote Sensing Visual Grounding

model-releasesarxiv-cs-cv

arXiv:2603.24876v2 Announce Type: replace Abstract: Remote sensing visual grounding (RSVG) aims to localize specific targets in remote sensing images using natural language expressions. However, exist

Orbital Error Dynamics: Self-Organized Criticality, Ephemeral Parameter Resonance, and Non-Linear Biological Ontologies in Zero-Storage Neural Synthesis

arXiv:2609.30115v1 Announce Type: cross Abstract: Modern deep neural networks treat parameters as static floating-point matrices stored in physical memory, incurring Von Neumann memory bottlenecks and

Hardware

OREN-X: Octree Residual Network for Real-Time Multi-Modal Mapping

arXiv:2609.29157v1 Announce Type: new Abstract: To achieve general-purpose autonomy over long horizons, a robot needs to maintain spatial environment information that supports a variety of tasks: geom

hardwarearxiv-cs-ro

OREO: Fidelity Alignment in 3D Generation via On-the-fly Rendering-Editing Optimization

arXiv:2609.29788v1 Announce Type: new Abstract: Despite recent advancements in 3D generation, models often struggle to produce assets with high visual fidelity. To bridge this gap, we propose OREO, an

safetyarxiv-cs-cv

out of these two options what will give the best performance?

I am new to this and a week or so ago I setup a local ai box, it is an amd 9950x with 64gb ddr5 6000 ram, 2 rtx 5090s (on motherboard that does pcie gen 5 x8 per card). It is working fine but I have b

local-air-localllama

Outcome-Sensitive Motion Search for Impact-Aware Dexterous Catching

arXiv:2609.29020v1 Announce Type: new Abstract: Skilled humans can catch fast-moving objects softly by coordinating interception, velocity matching, and follow-through to mitigate impact. Learning suc

local-aiarxiv-cs-ro

Agents

Own your harness, folks. I feel like System One models take custom agent harnesses to a whole different level. It's not a surprise. This com…

Own your harness, folks. I feel like System One models take custom agent harnesses to a whole different level. It's not a surprise. This comes down to needs that haven't been met with System Two model

agentsdair-ai--x

Paging the Experts: A Reproducible Characterization of Flash-Backed MoE Inference on iPhone

arXiv:2609.29032v1 Announce Type: cross Abstract: Sparse activation reduces mixture-of-experts computation without eliminating the need to store all experts. We present Routide, a Swift/MLX runtime th

local-aiarxiv-cs-lg

Pairwise Approximation Can Select the Wrong Multi-Robot Plan

model-releasesarxiv-cs-ro

arXiv:2609.29929v1 Announce Type: new Abstract: Multi-robot coordination methods often score a joint plan from singleton and pairwise terms, leaving out the terms that involve three or more robots. We

PartHackBench: Certified Equal-Progress Stress Tests for Partial-Credit Tool-Agent Evaluation

arXiv:2609.29578v1 Announce Type: new Abstract: Long-horizon tool agents often make useful progress without reaching terminal success, motivating partial-credit evaluation. Yet evaluators may reward m

Parts-of-Speech as Emergent Categories in SAE Latent Space

arXiv:2609.29362v1 Announce Type: new Abstract: Sparse AutoEncoders (SAEs) offer a promising way to inspect language model representations, but it is still unclear what kind of linguistic structure th

researcharxiv-cs-cl

Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment

arXiv:2609.28967v1 Announce Type: new Abstract: Passive long-wave infrared (LWIR) hyperspectral ranging enables distance estimation in low-light and nighttime scenes by exploiting atmospheric absorpti

safetyarxiv-cs-cv

Path-specific harm decomposition: A partial identification framework

arXiv:2609.29938v1 Announce Type: cross Abstract: A central goal when designing treatment policies is often to 'do no harm', that is, to avoid interventions that improve average outcomes while worseni

PAWS: Policy-driven Agentic World Simulation

arXiv:2609.28547v1 Announce Type: new Abstract: Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent

Pay attention to System One models if you are building custom harnesses and agentic workflows. Great to see DSPy integrate Jev and now suppo…

Pay attention to System One models if you are building custom harnesses and agentic workflows. Great to see DSPy integrate Jev and now support System One models for calibrating agentic workflows. I'm

model-releasesdair-ai--x

PEEL: Physics-Enabled Evidential Learning for Identifiable Uncertainty in CT Imaging

arXiv:2609.29599v1 Announce Type: new Abstract: Normal-inverse-gamma (NIG) regression is not uniquely identifiable from its marginal Student-t likelihood: the likelihood determines three combinations

researcharxiv-cs-ai

Tutorials

PePESeg3D: Perception Prior Enhances Multi-Scale Segmentation for 3D Gaussian Splatting

arXiv:2609.28645v1 Announce Type: new Abstract: Recent advancements in 3D Gaussian Splatting (3DGS) have extended its capabilities to multi-scale segmentation. Existing methods reconstruct a scene wit

tutorialsarxiv-cs-cv

Persistent Billable State: Denial-of-Wallet Attacks and Defenses in Tool-Calling LLM Agents

arXiv:2609.28585v1 Announce Type: cross Abstract: Multi-step tool-calling LLM agents rely on host runtimes to preserve state across turns. When a runtime carries an external tool return into later mod

Tutorials

Personalised federated learning for Riemannian and Euclidean EEG decoding

arXiv:2609.29037v1 Announce Type: cross Abstract: Federated learning (FL) lets EEG decoders learn from recordings of several subjects without pooling them. We consider two light EEG decoders, the Riem

tutorialsarxiv-cs-lg

Personalized Korean Lipreading as Visual Speech Recognition: Transfer, Census and Adaptation on OLKAVS

model-releasesarxiv-cs-cl

arXiv:2609.28988v1 Announce Type: cross Abstract: We present a personalized Korean visual speech recognition (VSR) system and quantify, on the nine-camera OLKAVS corpus, the gap between the population

Persuaded, Not Informed: Incentive-Misaligned Witnesses Defeat In-Context Grounding

arXiv:2609.28854v1 Announce Type: cross Abstract: Language-model agents increasingly answer questions over customer-relationship management (CRM) records, such as whether to qualify a sales lead. We i

PFArena: Benchmarking Language Models for Protein Modification

arXiv:2609.28921v1 Announce Type: new Abstract: Protein modification requires navigating an immense sequence space, yet wet-lab validation remains low-throughput and costly. Although computational par

PHOSA: Photorealistic 3D Sign Avatar Modeling and Benchmark

model-releasesarxiv-cs-cv

arXiv:2609.29292v1 Announce Type: new Abstract: In this work, we focus on photorealistic sign avatar modeling, which is crucial for effective communication with the Deaf community and is characterized

Physics and Data Driven Transformer-Mamba Framework for Flow Field

arXiv:2609.29087v1 Announce Type: new Abstract: While deep learning accelerates expensive partial differential equation solving in computational fluid dynamics (CFD), existing methods like PINNs and F

Physics-Guided Multi-Objective Deep Learning for Ultrasound RF Data Interpolation in Resource-Constrained Imaging

arXiv:2609.28775v1 Announce Type: cross Abstract: Ultrasound imaging increasingly targets portable, point-of-care, and wearable settings where constraints on power, bandwidth, and hardware complexity

Physics-Guided Residual Reinforcement Learning for Humanoid Narrow-Path Traversal

arXiv:2508.20661v5 Announce Type: replace Abstract: Traversing narrow paths is challenging for humanoid robots due to the sparse and safety-critical footholds required. Purely template-based or end-to

safetyarxiv-cs-ro

Agents

Physics-Informed Self-Supervised Learning for Joint Wire Calibration and Interaction Position Reconstruction in Multi-Wire Parallel Plate Avalanche Counters

arXiv:2609.28604v1 Announce Type: new Abstract: Scientific instruments require accurate calibration to convert detector signals into reliable physical observables. Conventional calibration procedures

agentsarxiv-cs-lg

Pistis Technical Report

arXiv:2609.28554v1 Announce Type: new Abstract: We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and

PlenoCI: Plenoptic CharacterIstics for View Dependence Aware Change Classification

model-releasesarxiv-cs-cv

arXiv:2609.28930v1 Announce Type: new Abstract: Radiance field representations such as 3D Gaussian Splatting (3DGS) natively encode complex visual phenomena such as occlusions and view dependence, but

PoEM: Predicting RL Outcomes from Existing Policies

arXiv:2609.30226v1 Announce Type: cross Abstract: Foundation models are post-trained with reinforcement learning (RL) to maximize specific rewards, such as human alignment, correctness, or instruction

Policy as Code: A Coroutine-Bridge Harness for Fast-Reasoning Reliability on CAR-bench

arXiv:2609.29251v1 Announce Type: new Abstract: CAR-bench evaluates whether tool-using agents stay reliable under real-world uncertainty, executing every tool inside the evaluator so that each tool-re

Policy Complexity, Reaction Time, and Bounded Rationality in Reinforcement Learning

arXiv:2609.28737v1 Announce Type: cross Abstract: Biological agents do not learn under conditions of unlimited computation. For humans, learning and choice are shaped by constraints on perception, att

Polite but Misaligned: Evaluating LLM Politeness Judgments Against Human Pragmatic Norms

arXiv:2609.29001v1 Announce Type: new Abstract: Despite strong performance on standard benchmarks, it remains unclear whether large language models (LLMs) evaluate social pragmatics in ways that align

safetyarxiv-cs-cl