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arXiv:2609.20107v1 Announce Type: new Abstract: Visuomotor policies for multi-fingered dexterous manipulation are highly sensitive to camera viewpoint shifts. To achieve view invariance, recent method

safetyarxiv-cs-ro

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AnyviewMeter: Adapting Robotic Reward Models with Camera Geometry and Multi-View Attention

DGX agent

arXiv:2609.20106v1 Announce Type: new Abstract: Robotic reward models evaluate task execution from visual observations, but their predictions can change with camera viewpoint and occlusion even when t

model-releasesarxiv-cs-cv

18 Sept 2026

Architectural Design, Not Only Model Intelligence, Governs Multi-Agent LLM Performance

arXiv:2602.03128v2 Announce Type: replace Abstract: Multi-agent LLM frameworks are data-intensive systems that govern how agents orchestrate tasks, manage state, and coordinate decisions. These archit

Are Finer Citations Always Better? Rethinking Granularity for Attributed Generation

arXiv:2604.01432v3 Announce Type: replace Abstract: Citation granularity -- whether to cite individual sentences, paragraphs, or documents -- is a critical design choice in attributed generation. Whil

researcharxiv-cs-cl

Local Ai

ArtNVG: Content-Style Separated Artistic Neighboring-View Gaussian Stylization

arXiv:2412.18783v3 Announce Type: replace Abstract: As demand from the film and gaming industries for 3D scenes with target styles grows, the importance of advanced 3D stylization techniques increases

local-aiarxiv-cs-cv

Hardware

Astronex-World 1.0: Real-Time Interactive World Model Foundation

arXiv:2609.20034v1 Announce Type: cross Abstract: We present Astronex-World 1.0, an open controllable video world-model foundation. Given a text prompt (text-to-video) or an initial observation (image

hardwarearxiv-cs-ai

AthenaZero: A low-inertia, bimanual robot for dynamic manipulation

arXiv:2609.19194v1 Announce Type: new Abstract: AthenaZero is a bimanual manipulator designed to minimize inertia without compromising control authority. By utilizing quasi-direct drive actuation and

researcharxiv-cs-ro

AUDITPLAN: Commit, Then Answer for Auditable Safety Alignment

arXiv:2609.19325v1 Announce Type: cross Abstract: Safety tuning pipelines judge only the final answer, which makes it difficult to distinguish robust refusal from two undesirable shortcuts: blanket re

augmenting large datasets to have more edge case data for training [D]

researchr-machinelearning

I have this idea I'd like feedback on. most camera footage for training, is sunny daytime, because that's what cameras record most of the time. The edge cases models actually struggles with, like nigh

Applications

AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

arXiv:2609.19873v1 Announce Type: new Abstract: Email spam and phishing attacks remain a critical security threat. Adversaries increasingly exploit large language models to craft contextually convinci

applicationsarxiv-cs-lg

Agents

AURORA: A Natural Language-Driven Agentic Framework for Understanding, Reasoning, and Orchestrating Reliable Air-Ground Co-Simulation

arXiv:2609.19527v1 Announce Type: cross Abstract: Air-ground transportation research increasingly relies on co-simulation, yet constructing scenarios remains labor-intensive and difficult to validate.

agentsarxiv-cs-ai

Agents

AutoData: Agentic Search for Pre-training Data Selection

arXiv:2609.19754v1 Announce Type: new Abstract: LLM agents have recently shown promise in automating machine learning engineering by editing model and training code under execution feedback. Data, how

agentsarxiv-cs-ai

Local Ai

Automated Goldsmith's Mark Retrieval in Silverware

arXiv:2609.20509v1 Announce Type: new Abstract: For art historians, goldsmith marks play a critical role in the identification and dating of artifacts. In practice, experts must manually compare a que

local-aiarxiv-cs-cv

Automated Gradient-Driven Parameter Sharing for Low-Resource Multilingual Speech-to-Text Translation

model-releasesarxiv-cs-cl

arXiv:2603.25836v2 Announce Type: replace Abstract: In low-resource multilingual speech-to-text translation, uniform architectural sharing across languages frequently introduces representation conflic

Automated Membership Inference Attacks (AutoMIA): Discovering MIA Signal Computations using LLM Agents

arXiv:2603.19375v2 Announce Type: replace-cross Abstract: Membership inference attacks (MIAs), which enable adversaries to determine whether specific data points were part of a model's training datase

researcharxiv-cs-lg

AVTrace: Diagnosing Audio-Visual Temporal Reasoning in Omni Models

arXiv:2609.19991v1 Announce Type: cross Abstract: Omni models can describe video content, but can they locate events in time, preserve event order, and judge audio-visual synchronization? We introduce

b11029

vulkan: raise the hoisted row-id limit for mul_mat_id from 256 to 1024 experts (#28501) vulkan: raise the hoisted row-id limit for mul_mat_id to 512 experts The expert-count shader (count_experts.comp

b11030

ci : bump android-actions/setup-android to 4.0.4 (#29065) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48395907 macOS/iOS: macOS Apple Silicon (arm64) ma

b11033

cmake : fix build when GGML_CPU=OFF and GGML_CUDA=ON (#29026) fix: build fails when GGML_CPU=OFF and GGML_CUDA=ON fix: eol in examples/convert-llama2c-to-ggml/CMakeLists.txt file Website: https://llam

b11034

vocab : add ufakzeka pre-tokenizer (#29033) vocab : add ufakzeka pre-tokenizer vocab : move ufakzeka to the models list and regenerate the hash mapping Website: https://llama.app Attestations: https:/

b11035

vulkan: add IQ3_S MMQ matmul kernels (#28822) vulkan: add IQ3_S MMQ matmul kernels Make block_a_to_shmem do 2-byte loads (110 bytes is divisible by 2) Align the check, IQ3_S is also using K tile size

b11036

ggml : handle graph buffer reservation failure (#26070) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48431150 macOS/iOS: macOS Apple Silicon (arm64) macO

b11037

ggml-webgpu: fix supports_op condition for GET_ROWS (#28978) fix get_rows vec4 handling Add src strides checking to vec4_aligned of get_rows and the new test case. Website: https://llama.app Attestati

b11039

Model-Saver: Write the SWA pattern, 15 more architectures roundtrip (#29042) llama: read the SWA pattern as a period or a per-layer array Add llama_model_base::load_swa_pattern(), which reads sliding_

b11040

ggml : check for allocation failures to prevent crashes (#28149) ggml : check for allocation failures to prevent crashes wording Website: https://llama.app Attestations: https://github.com/ggml-org/ll

b11042

opencl: add bin kernel kernel_gemm_noshuffle_q6_k_f32_32b_trans_ila_a8_bin (#28678) opencl: add A8 Q6_K non-MoE binary kernel opencl: fix layout compatibility Website: https://llama.app Attestations:

b11043

hexagon: HMX flash-attention head_dim padding (support DK=DV=72) (#26539) Allow HMX flash-attention to run with head_dim not a multiple of 64 (e.g. SigLIP head_dim=72), by operating on DK/DV rounded u

b11044

hexagon: im2col update (#29103) ggml-hexagon: accept 1D and padded IM2COL ops ggml-hexagon: make pure-DDR IM2COL kernel is_2D-aware ggml-hexagon: extend IM2COL DMA patch-embed fast path to 1D ggml-hex

b11045

hexagon: add ROLL op support (#29105) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48565469 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (a

b11046

opencl: add support for bin kernel flash_attn_f32_f16_bin (#29046) opencl: add flash_attn_f32_f16_bin opencl: guarded prefill fa Website: https://llama.app Attestations: https://github.com/ggml-org/ll

Bayesian Continuum Robot Dynamics and State Estimation

arXiv:2609.20605v1 Announce Type: new Abstract: Recent factor graph approaches to continuum robot state estimation have been successful for quasi-static applications and spatiotemporal estimation usin

researcharxiv-cs-ro

Tutorials

Bayesian Optimization with Rich Auxiliary Information via LLMs

arXiv:2609.19437v1 Announce Type: new Abstract: Bayesian Optimization (BO) is widely used for optimizing expensive black-box functions, yet many real-world optimization problems contain substantially

tutorialsarxiv-cs-lg

Applications

Before the Arrest: Benchmarking LLMs on Criminal Profiling from Incomplete Evidence

arXiv:2609.19965v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly applied to legal and criminal justice tasks, yet existing work focuses almost exclusively on post-arrest s

applicationsarxiv-cs-cl

Before the Warning Comes Too Late: Incremental Phone-Scam Detection from Speech

model-releasesarxiv-cs-cl

arXiv:2609.20223v1 Announce Type: new Abstract: We study weakly supervised incremental telecom fraud detection from raw telephone audio, where training provides only conversation-level labels and pred

Safety

Behavioral Coherence: A Method for Sensitive-Domain LLM Evaluation

arXiv:2512.13142v5 Announce Type: replace Abstract: People use LLMs for reproductive-health questions, including abortion-related support. A response can sound supportive while answers reinforce harmf

safetyarxiv-cs-ai

Benchmarking LLM Compliance with China AI Generated Content Regulations

model-releasesarxiv-cs-cl

arXiv:2609.19989v1 Announce Type: new Abstract: The widespread adoption of LLMs has led to escalating content compliance risks. Prior works have contributed to addressing these risks in the English co

Hardware

Benchmarking LLM Inference at Scale with AIPerf

NVIDIA AIPerf is a benchmarking framework that supersedes GenAI‑Perf with a multiprocess architecture, eliminating client‑side bottlenecks during high‑concurrency LLM testing. It supports more than 15

hardwarenvidia-developer

Benchmarking MLLMs via Cognitive Expected Scene Graph for Safety-Critical Visual Negation Understanding

model-releasesarxiv-cs-cv

arXiv:2609.19767v1 Announce Type: new Abstract: True machine intelligence requires transcending passive pixel registration to master top-down functional reasoning over absent information via visual ne

Beyond Depth Truncation: Controlled Evaluation of Depth Utilization in Recursive Language Models

arXiv:2609.19934v1 Announce Type: new Abstract: Depth-recurrent language models iteratively apply a small layer stack, decoupling per-token compute from distinct parameter count. To determine whether

Beyond Flattened Tokens: Structure-Preserving EEG Decoding with Reusable TriDim Blocks

model-releasesarxiv-cs-lg

arXiv:2609.19842v1 Announce Type: new Abstract: Effective EEG decoding requires representations that preserve organization among channels, local waveform dynamics, and long-range temporal context. Exi

Beyond Patch Removal: Persistent Adversarial Effects in Vision-Language-Action Policies

arXiv:2609.19669v1 Announce Type: new Abstract: Adversarial patches to Vision-Language-Action (VLA) policies can cause both immediate action corruption and persistent state effects that remain after t

researcharxiv-cs-cv

Beyond PINNs: A Unified Gauss--Newton and Petrov--Galerkin Framework for Neural and Hybrid PDE Solvers

arXiv:2609.20641v1 Announce Type: cross Abstract: Physics-informed neural networks and finite element methods provide two different paradigms for the numerical approximation of partial differential eq

researcharxiv-cs-lg

Beyond the Foreground: FOV-Aware Polyp Image Synthesis via Lesion-Guided Adaptive Mucosal Context Propagation

model-releasesarxiv-cs-cv

arXiv:2609.19966v1 Announce Type: new Abstract: Synthetic image and mask pairs can alleviate scarce colonoscopy annotations, but realistic synthesis requires preserving the supplied lesion while gener

Big fan of how @LangChain is doing these insta-webinars The news is a few days old, @typesafeai is integrated and documented with example co…

model-releasesharrison-chase--x

Big fan of how @LangChain is doing these insta-webinars The news is a few days old, @typesafeai is integrated and documented with example code in LangChains Docs 👇 And they are doing a webinar on the

BINDER: A Latent Variable Model for Probabilistic Medical Image Registration

arXiv:2609.19875v1 Announce Type: new Abstract: We propose a new probabilistic model for general-purpose medical image registration that builds upon the mutual information registration criterion. It c

researcharxiv-cs-cv

Applications

BinoGen: Scaling egocentric binocular data for embodied visual perception and learning

arXiv:2609.19881v1 Announce Type: new Abstract: Embodied visual perception relies on temporally coherent visual experience accumulated through continuous engagement with the environment. However, coll

applicationsarxiv-cs-cv

BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research

arXiv:2609.19180v1 Announce Type: new Abstract: Language models face unique challenges in analyzing interdisciplinary scientific research literature. In biophysics research, faithful answers require g

Local Ai

Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training

arXiv:2609.19242v1 Announce Type: new Abstract: Block diffusion language models (BDLMs) combine autoregressive dependencies across blocks with parallel denoising within blocks, but long-context traini

local-aiarxiv-cs-lg