All entries

arXiv:2606.09294v1 Announce Type: new Abstract: Multi-camera systems are increasingly adopted in robotics and autonomous navigation for their wide field of view, flexibility, and fault tolerance. Neve

agentsarxiv-cs-cv

Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots

DGX agent

arXiv:2601.02085v3 Announce Type: replace-cross Abstract: Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, empty grasp/misgrasp, and slippage, which

researcharxiv-cs-ai

9 Jun 2026

Vision-Guided Dual-Arm Humanoid Robotic Disassembly of End-of-Life 18650 Lithium-ion Battery Packs

arXiv:2606.08152v1 Announce Type: new Abstract: The growing volume of retired lithium-ion battery packs from electric vehicles and portable electronics calls for automated disassembly that is safe, fl

tutorialsarxiv-cs-ro

Vision-Language Asymmetry in Bistable Image Captioning

arXiv:2606.08031v1 Announce Type: new Abstract: Wittgenstein's duck-rabbit poses a question for vision-language models: when a model captions an ambiguous image, where in the model is the commitment t

Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating

arXiv:2606.09167v1 Announce Type: new Abstract: Hyperspectral object tracking (HOT) leverages the rich spectral information provided by hyperspectral videos (HSVs), offering substantial potential for

tutorialsarxiv-cs-cv

Vision Language Model Helps Private Information De-Identification in Vision Data

arXiv:2606.09132v1 Announce Type: new Abstract: Visual Language Models (VLMs) have gained significant popularity due to their remarkable ability. While various methods exist to enhance privacy in text

tutorialsarxiv-cs-ai

Vision-Language Work Zone Intelligence for Safety-Critical Speed Regulation of Mixed-Autonomy Vehicles in Dynamic Environments

arXiv:2606.08860v1 Announce Type: new Abstract: Temporary work-zone speed limits are communicated through visually inconsistent signage and are often missing from digital maps, creating safety risks f

Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning

arXiv:2606.09290v1 Announce Type: new Abstract: Visual reasoning requires integrating evidence distributed across regions, attributes, and relations, making single-chain reasoning prone to early perce

Applications

Visual Prompting Meets Feature Reconstruction-Based Anomaly Detection with Dual-Teacher Supervision

arXiv:2606.09670v1 Announce Type: cross Abstract: Recent Anomaly Detection methods achieve perfect detection and segmentation scores on well-established datasets, such as MVTec. However, many of these

applicationsarxiv-cs-ai

Visual Template Inference for Data Extraction from Documents

model-releasesarxiv-cs-cv

arXiv:2501.06659v2 Announce Type: replace-cross Abstract: Many templatized documents are programmatically generated from structured data following a visual template. Such documents include invoices, t

VisualFLIP: Do Predictions Depend on Task-Critical Visual Evidence in Multimodal Reasoning?

model-releasesarxiv-cs-cv

arXiv:2606.07872v1 Announce Type: new Abstract: When a multimodal large language model answers a visual reasoning question correctly, is the prediction actually supported by the task-critical visual e

VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents

arXiv:2606.07595v1 Announce Type: cross Abstract: Vision-language agents increasingly consume screenshots, documents, and user interfaces before writing to memory, sending messages, or invoking extern

vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models

arXiv:2606.08094v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) policies are typically shipped as Python/PyTorch stacks that assume a workstation-class GPU, a mismatch for the hardware

VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation

model-releasesarxiv-cs-ro

arXiv:2606.07723v1 Announce Type: new Abstract: Open-vocabulary long-horizon manipulation requires robots to reason over flexible instructions and complex multi-object scenes while adaptively planning

Agents

Voting Protocols as Coordination Mechanisms for Role-Constrained Multi-Agent Tutoring Systems

arXiv:2606.08030v1 Announce Type: cross Abstract: Agentic tutoring systems introduce a coordination challenge: multiple agents may propose different but reasonable interventions, yet only one response

agentsarxiv-cs-ai

wait til you see what happens with SpaceX.

Gary Marcus, a prominent AI researcher and critic, posted a teaser statement on X about upcoming SpaceX developments, likely referring to significant announcements or milestones in the company's space

safetygary-marcus--x

WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis

arXiv:2606.08670v1 Announce Type: new Abstract: Large and demographically balanced datasets are essential for reliable neuroimaging biomarkers. Full-resolution 3D brain MRI synthesis can support data

We encourage developers to share their builds with us and give feedback to shape future iterations. Let’s shape the future of sovereign AI t…

We encourage developers to share their builds with us and give feedback to shape future iterations. Let’s shape the future of sovereign AI together. Download: https://huggingface.co/CohereLabs/North-M

model-releasescohere--x

Industry

We must stop harbouring those who wish to decapitate children. A vast number of people need to be removed from our country - when I say vast…

We must stop harbouring those who wish to decapitate children. A vast number of people need to be removed from our country - when I say vast, I mean it. Millions and millions need to leave or be made

industryelon-musk--x

We talk a lot about how important it is to set up self-verification loops. Especially in the age of powerful models that can run for long pe…

model-releasesboris-cherny--x

We talk a lot about how important it is to set up self-verification loops. Especially in the age of powerful models that can run for long periods of time, self-verification is a key ingredient that en

We trained language models that compress massive contexts into tiny latent representations. Latent Context Language Models (LCLMs) outperfor…

We trained language models that compress massive contexts into tiny latent representations. Latent Context Language Models (LCLMs) outperform existing KV cache compression methods on the latency/accur

researchyann-lecun--x

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

arXiv:2602.08222v2 Announce Type: replace Abstract: As post-training optimization becomes central to improving large language models, we observe a persistent saturation bottleneck: once models grow hi

tutorialsarxiv-cs-ai

WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces

arXiv:2606.09426v1 Announce Type: new Abstract: Computer-use agents (CUAs) increasingly operate in runtimes that combine visual desktop control, command-line execution, code editing, browsers, and ext

Web Agents Should Use Typed Actions Instead of Click-Based Browsing

arXiv:2602.17245v2 Announce Type: replace Abstract: This position paper argues that building a reliable agentic Web requires shifting from low-level interaction primitives to typed actions supported b

safetyarxiv-cs-ai

Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity

arXiv:2602.05869v2 Announce Type: replace-cross Abstract: We introduce Wedge Sampling, a new non-adaptive sampling scheme for low-rank tensor completion. We study recovery of an order-k low-rank tenso

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds

arXiv:2606.09820v1 Announce Type: cross Abstract: We generalize the universal approximation theorem for functional input neural networks (FNN) to differentiable maps by including the approximation of

We're getting Fable 5 before GTA 6

model-releasesjerry-liu--x

This post humorously suggests that Fable 5 will release before Grand Theft Auto 6, likely commenting on the extended development timelines of both highly anticipated games. The statement reflects comm

We're hosting Claude Fable 5 Build Day in San Francisco on June 13. Point Fable 5 at a problem worth solving and build a solution with Claud…

We're hosting Claude Fable 5 Build Day in San Francisco on June 13. Point Fable 5 at a problem worth solving and build a solution with Claude Code. The Anthropic team will be in the room, with a chanc

model-releasesthariq--x

Industry

we're starting to send out invites for the our first Midjourney hardware launch and i feel like im missing some important mutuals. poke me i…

we're starting to send out invites for the our first Midjourney hardware launch and i feel like im missing some important mutuals. poke me if you haven't gotten an invite and think you should. we have

industrydavid-holz--x

We've got 13 days to burn as much tokens as humanly possible on Claude Max plans Before they revert to API based billing 💀

model-releasesjerry-liu--x

We've got 13 days to burn as much tokens as humanly possible on Claude Max plans Before they revert to API based billing 💀 Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for gen

Tools

We've reset 5-hour and weekly rate limits for all users. Enjoy Fable 5!

Anthropic has reset rate limits for Claude API users, increasing both the 5-hour and weekly usage caps to allow greater access. This change was announced to coincide with the release of Fable 5, sugge

toolsthariq--x

Agents

What are loops, and how do you build one? A 'loop' is the repeated process where some event or input kicks off an action. For example: 1. CI…

What are loops, and how do you build one? A 'loop' is the repeated process where some event or input kicks off an action. For example: 1. CI fails -> you fix it 2. CI fails again -> you fix it 3. CI p

agentsharrison-chase--x

What Codex unlocks for Notion

OpenAI's Codex model enables Notion to add AI-powered capabilities to its workspace platform, allowing users to automate tasks and generate content through natural language commands. This integration

model-releasesopenai

what constitutes reasoning in AI is a critical debate. i hope that @dwarkesh_sp will respond.

what constitutes reasoning in AI is a critical debate. i hope that @dwarkesh_sp will respond. what does this even mean, @dwarkesh_sp, “the real deal”? is it even a falsifiable conjecture? what’s the e

safetygary-marcus--x

what does this even mean, @dwarkesh_sp, “the real deal”? is it even a falsifiable conjecture? what’s the evidence? and if you can agree that…

what does this even mean, @dwarkesh_sp, “the real deal”? is it even a falsifiable conjecture? what’s the evidence? and if you can agree that “If you ask an LLM a question it can't answer, sometimes it

safetygary-marcus--x

Hardware

What EU regulations does to AI

EU regulations, particularly the AI Act, establish comprehensive compliance requirements for AI systems including risk-based classification, transparency obligations, and restrictions on high-risk app

hardwaredylan-patel--x

What it feels like to work with Mythos

model-releasesethan-mollick

This article by Ethan Mollick describes the user experience and practical workflow of working with Mythos, an AI system. It likely covers the system's capabilities, interface, strengths, limitations,

What Makes a Desired Graph for Relational Deep Learning?

arXiv:2606.08491v1 Announce Type: new Abstract: Relational deep learning (RDL) converts relational databases (RDBs) into heterogeneous graphs, but graphs derived directly from database schemas are oft

safetyarxiv-cs-ai

What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction

arXiv:2606.07687v1 Announce Type: cross Abstract: Video world models are increasingly used to provide predictive visual representations, yet it remains unclear which pretraining signals induce action-

researcharxiv-cs-ai

What neurosurgeons need to see: synthetic intra-operative MRI from ultrasound for brain-shift compensation in brain tumour surgery

arXiv:2606.07658v1 Announce Type: new Abstract: Maximal safe resection is the primary objective in glioma surgery. Neuronavigation guidance is progressively degraded by brain shift after dural opening

researcharxiv-cs-cv

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks

arXiv:2606.09700v1 Announce Type: cross Abstract: Large language model (LLM)-powered content moderation systems have become a critical defense against harmful online content. However, these systems pr

Industry

What We Learned Hiring 33 Engineers in Two Weeks

DigitalOcean shares insights from rapidly scaling their engineering team by hiring 33 engineers in a two-week period, likely covering recruitment strategies, interview processes, and lessons learned f

industrydigitalocean

What's the Point? Spatial Grammar & Index Resolution for Sign Language Processing

arXiv:2606.08056v1 Announce Type: cross Abstract: Sign language models are predominantly trained with gloss-sequence or text supervision, thereby under-modeling non-lexical and productive construction

researcharxiv-cs-ai

When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic

arXiv:2606.08390v1 Announce Type: new Abstract: When a neural time-series model reports that one variable modulates another's effect on a target, is the discovered interaction a property of the data o

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective

arXiv:2606.08044v1 Announce Type: cross Abstract: Large Language Model (LLM) safety has often been evaluated at the behavior level, which provides limited evidence of internal robustness, as these eva

When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents

arXiv:2602.08235v2 Announce Type: replace-cross Abstract: Although computer-use agents (CUAs) hold significant potential to automate increasingly complex OS workflows, they can demonstrate unsafe unin

When Do Local Score Models Extrapolate Across Size? A Diagnostic Theory and Benchmark

model-releasesarxiv-cs-lg

arXiv:2606.09705v1 Announce Type: new Abstract: Scientific generative modeling often requires size transfer, where models trained on small systems are evaluated on larger ones. While translation-invar

When Does Delegation Beat Majority? A Delegation-Based Aggregator for Multi-Sample LLM Inference

arXiv:2606.08098v1 Announce Type: new Abstract: Majority voting over sampled answers is the dominant unsupervised aggregator for multi-sample LLM inference. We show that piping the signals every sampl

researcharxiv-cs-ai