Every paper checked — nothing hidden

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Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

All17,313 In brief24 More (on-topic)3,333 Not relevant13,754 Not assessed87 Older352 Could not confirm93 Blogs with no paper266 All blogs284

Paper	Topic	Relevance
X-AVDD: Cross-Attentive Audio-Visual Dataset Distillation Proposes a memory-efficient cross-attention method for distilling large paired audio-visual datasets into compact synthetic sets. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Does not address AI safety, jailbreaks, hallucination, or deployment guardrails.
Improving Semantic Coverage in AI Test & Evaluation through Generative Augmentation Uses generative models and vision-language labeling to detect and synthesize missing semantic domains in test datasets. Peer-reviewed	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on general AI evaluation test-set augmentation, not industrial inspection or manufacturing computer vision.
GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World Models Designs a global-local memory interface with multi-precision spectral encoding for consistent video world models. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies memory representations for video world models, not industrial vision or robotics inspection.
GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World Models Designs a global-local memory interface with multi-precision spectral encoding for consistent video world models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on video world model rendering and memory encoding rather than multimodal vision-language architectures.
State-Isolated Vision Mamba via Update-Tendency Routing for Underwater Image Enhancement Introduces a state-isolation routing mechanism for Vision Mamba models to enhance spatially heterogeneous underwater images. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Proposes general underwater image enhancement architecture, not industrial defect detection or factory inspection.
State-Isolated Vision Mamba via Update-Tendency Routing for Underwater Image Enhancement Introduces a state-isolation routing mechanism for Vision Mamba models to enhance spatially heterogeneous underwater images. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses solely on low-level image restoration with Vision Mamba, lacking cross-modal multimodal integration.
KVeil: First-Place Solution to ECCV 2026 LifeGenIP Challenge on Unlearnable Videos Presents perturbation techniques to protect personal video data from unauthorized identity replication by generative models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on adversarial perturbations against video generation models rather than multimodal understanding or reasoning.
KVeil: First-Place Solution to ECCV 2026 LifeGenIP Challenge on Unlearnable Videos Presents perturbation techniques to protect personal video data from unauthorized identity replication by generative models. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies facial privacy protection against video generation models, with no industrial vision application.
Gaussian Splatting with Reflections Guided by What is Seen Improves 2D Gaussian Splatting rendering of near-field reflections using observed image environment data. Peer-reviewed	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Proposes a general novel view synthesis technique, not industrial inspection or manufacturing computer vision.
Gaussian Splatting with Reflections Guided by What is Seen Improves 2D Gaussian Splatting rendering of near-field reflections using observed image environment data. Peer-reviewed	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses strictly on 3D novel view synthesis with 2D Gaussian Splatting, not multimodal models.
Neurons++: A Unified Visual-Stream Framework for Image and Video Reconstruction from fMRI with Neural-to-Visual Interpretability Reconstructs images and videos from fMRI signals using cortex-inspired serial decoding and multimodal pre-training. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on brain fMRI-to-vision reconstruction rather than general multimodal language-vision architectures.
Neurons++: A Unified Visual-Stream Framework for Image and Video Reconstruction from fMRI with Neural-to-Visual Interpretability Reconstructs images and videos from fMRI signals using cortex-inspired serial decoding and multimodal pre-training. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on brain fMRI visual decoding, not industrial computer vision applications.
Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment Evaluates shortcut learning and out-of-distribution failure in geospatial foundation models on cross-disaster damage assessment tasks. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on satellite imagery embeddings rather than multimodal text-image reasoning.
Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment Evaluates shortcut learning and out-of-distribution failure in geospatial foundation models on cross-disaster damage assessment tasks. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Evaluates geospatial foundation models on disaster datasets, not LLM evaluation and benchmarking.
Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment Evaluates shortcut learning and out-of-distribution failure in geospatial foundation models on cross-disaster damage assessment tasks. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Studies shortcut learning in remote sensing, not small model optimization.
Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment Evaluates shortcut learning and out-of-distribution failure in geospatial foundation models on cross-disaster damage assessment tasks. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies disaster damage assessment using geospatial models, not industrial inspection.
READ: Reading the Selective Scan for Faithful Video Attribution Provides an attribution method for selective state-space video models by tracing accumulated recurrence in a single forward pass. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Proposes an attribution method for selective state-space video models, not industrial vision.
READ: Reading the Selective Scan for Faithful Video Attribution Provides an attribution method for selective state-space video models by tracing accumulated recurrence in a single forward pass. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on video state-space model attribution rather than multimodal models.
Detection of extremely rare dead cells in fluorescence microscopy images Benchmarks heuristic, machine learning, and deep learning methods for identifying rare dead cells in fluorescence microscopy. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with biomedical image anomaly detection, not multimodal models.
Detection of extremely rare dead cells in fluorescence microscopy images Benchmarks heuristic, machine learning, and deep learning methods for identifying rare dead cells in fluorescence microscopy. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on biological fluorescence microscopy for dead cell screening, not industrial settings.
SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models Proposes a simulation-grounded framework rendering real-world 3DGS scenes to supervise autonomous driving world action models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on driving trajectory optimization with simulation, not multimodal language-vision integration.
Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning Presents a unified plug-and-play posterior sampling framework combining diffusion and flow models via exact Gaussian conditioning. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Focuses on inverse problem solvers rather than LLM safety, red-teaming, or guardrails.
Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning Presents a unified plug-and-play posterior sampling framework combining diffusion and flow models via exact Gaussian conditioning. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on mathematical posterior sampling for linear inverse problems, not industrial vision.
Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning Presents a unified plug-and-play posterior sampling framework combining diffusion and flow models via exact Gaussian conditioning. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Presents a sampling method for inverse problems, not LLM benchmark evaluation.
Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning Presents a unified plug-and-play posterior sampling framework combining diffusion and flow models via exact Gaussian conditioning. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Studies trajectory priors for diffusion models, not model compression or efficient serving.
Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning Presents a unified plug-and-play posterior sampling framework combining diffusion and flow models via exact Gaussian conditioning. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with sampling algorithms for diffusion models rather than multimodal reasoning.
Dream to Remember: Continual Steering of Generalist Robot Policies with World Models Uses a frozen world model to continually steer generalist robot policies onto new tasks without catastrophic forgetting. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on robot control policy steering rather than multimodal understanding.
Dream to Remember: Continual Steering of Generalist Robot Policies with World Models Uses a frozen world model to continually steer generalist robot policies onto new tasks without catastrophic forgetting. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Focuses on continual robot policy steering rather than evaluating general LLM benchmarks.
Dream to Remember: Continual Steering of Generalist Robot Policies with World Models Uses a frozen world model to continually steer generalist robot policies onto new tasks without catastrophic forgetting. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Addresses policy steering via world models, not small model distillation or quantization.
Dream to Remember: Continual Steering of Generalist Robot Policies with World Models Uses a frozen world model to continually steer generalist robot policies onto new tasks without catastrophic forgetting. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Investigates continual reinforcement learning for robotics, not AI safety guardrails or reliability.
Event-based Action Recognition by Pre-Training on Multi-Frame Representations Pre-trains vision transformers on multi-frame event camera data using masked auto-encoding for action recognition. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on general action recognition using event cameras, not industrial inspection or manufacturing.
Event-based Action Recognition by Pre-Training on Multi-Frame Representations Pre-trains vision transformers on multi-frame event camera data using masked auto-encoding for action recognition. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Applies masked autoencoding to event-camera video representations, not multimodal models.
Revisiting the Task of Building Damage Assessment by Satellite Imaging Reviews satellite-based building damage assessment across data, evaluation protocols, and method formulations. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Examines satellite computer vision benchmarks rather than multimodal text-vision interaction.
Revisiting the Task of Building Damage Assessment by Satellite Imaging Reviews satellite-based building damage assessment across data, evaluation protocols, and method formulations. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Surveys building damage assessment via satellite imagery for disaster response, not industrial applications.
LapMerge: Differentiable Exact-Budget Token Merging in Linear Time Introduces a differentiable token merging operator running in linear time with an exact sequence output budget. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Proposes a general token merging operator for sequence models, not industrial vision.
Make It Flow: Animating Water in 3D Gaussian Splatting Scenes Animates flowing water in static 3D Gaussian Splatting scenes using 2D optical flow lifted into a 3D Eulerian motion field. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on animating water in 3D Gaussian Splatting for novel view synthesis.
Make It Flow: Animating Water in 3D Gaussian Splatting Scenes Animates flowing water in static 3D Gaussian Splatting scenes using 2D optical flow lifted into a 3D Eulerian motion field. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with graphics rendering and 3D visual animation rather than multimodal understanding.
Tracking the Invisible: Self-Supervised Wheel Track Detection with Thermal-RGB Fusion Uses self-supervised thermal-RGB fusion to detect drivable wheel tracks on snow-covered roads for autonomous vehicles. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with RGB-thermal fusion for tracking, not broad multimodal vision-language reasoning.
Beyond the Snowflakes: Disentangling Weather Effects from Confounding Meta-Factors in LiDAR Object Detection Analyzes LiDAR object detection in snow to separate atmospheric noise from performance gains caused by increased point reflections. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Analyzes LiDAR object detection robustness rather than multimodal vision-language integration.
Where to Look Matters: Rethinking Sub-Volume Sampling in 3D Medical Self-supervised Learning Replaces random crop sampling in 3D medical self-supervised learning with a guided probe bank based on anatomical priors. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on 3D medical imaging self-supervised learning, outside industrial inspection and manufacturing.
Where to Look Matters: Rethinking Sub-Volume Sampling in 3D Medical Self-supervised Learning Replaces random crop sampling in 3D medical self-supervised learning with a guided probe bank based on anatomical priors. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Investigates medical image volume sampling rather than multimodal cross-domain models.
Can machines reason non-verbally? Introduces a generate-verify-optimize pipeline to enable non-verbal visual reasoning in machine learning systems. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies general non-verbal visual reasoning in LLMs, not industrial inspection or automation.
Chronos Policy: Learning Robot Policies on Physical Time Formulates robot action diffusion policies that condition directly on physical timestamps using time-aware rotary positional embeddings. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on robot temporal policy learning rather than multimodal vision-language reasoning.
Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text Feedback Improves multimodal diffusion transformer generation by suppressing image-to-text feedback loops during iterative denoising. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies text-to-image diffusion models, not industrial inspection or robotics perception.
Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text Feedback Improves multimodal diffusion transformer generation by suppressing image-to-text feedback loops during iterative denoising. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Investigates internal image-to-text feedback in text-to-image generative models, not multimodal tasks.
InstantFusion: A Shared Latent Interface for Heterogeneous Image Generators Introduces a shared latent interface enabling handoff and translation of denoising trajectories across heterogeneous image diffusion models. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Proposes a latent interface for generative diffusion models, not industrial vision applications.
InstantFusion: A Shared Latent Interface for Heterogeneous Image Generators Introduces a shared latent interface enabling handoff and translation of denoising trajectories across heterogeneous image diffusion models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on image generation latent spaces rather than multimodal cross-domain understanding.
Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark Presents a multi-agent generation pipeline and benchmark for creating physically grounded, articulated 3D digital assets. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with 3D articulated object generation rather than multimodal vision-language reasoning.
Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark Presents a multi-agent generation pipeline and benchmark for creating physically grounded, articulated 3D digital assets. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on 3D asset generation and simulation fidelity rather than industrial computer vision tasks.
Local Sensitivity in Exponential Selection: Failure Modes and Valid Calibrations Formulates valid calibrations to safely replace global sensitivity with local sensitivity in differential privacy exponential mechanisms. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Pure differential privacy theoretical calibration for exponential selection, not AI deployment safety.
Secure Aggregate Encryption with Identity-Based Authentication for Multi-Vendor FPGA Cloud Deployment Proposes a cryptographic framework uniting aggregate authorization, identity-based authentication, and bitstream encryption for cloud FPGAs. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Covers cryptographic bitstream protection for cloud FPGAs, unrelated to AI safety.
SoK: Privacy-Preserving Order Matching Systematizes 22 protocol families for privacy-preserving order matching across traditional financial markets and decentralized exchanges. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Surveys privacy protocols for financial order matching, unrelated to AI systems or safety.
Organizational Context for the Enterprise Security Brain Formalizes the organizational context gap in enterprise security and outlines challenges in connecting human policies to machine state. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Focuses on enterprise cybersecurity architecture and knowledge models, not LLM reliability or safety.
Moving Target Defense in SDN-enabled EV Charging Network Introduces a moving target defense to detect and mitigate low-rate denial-of-service attacks in software-defined EV charging networks. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Deals with network security for EV charging infrastructure, completely unrelated to AI model safety.
HPQ-AKE: A Provably Secure Sign-Less Hybrid Authenticated Key Exchange Protocol for Bandwidth-Constrained IoT and Edge Networks Designs a sign-less hybrid authenticated key exchange using ML-KEM and RSA to secure constrained IoT devices against quantum threats. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Presents a post-quantum cryptographic key exchange protocol, unrelated to AI safety or reliability.
Protecting CPU AI On Edge TEEs: WebAssembly's Promise and Practical Challenges Implements encrypted WebAssembly execution on Arm TrustZone to protect proprietary AI models on edge hardware. Preprint	LLMs for code via arxiv · 12 Oct, 16:28	Not relevant Focuses on TEE/WebAssembly runtime security for edge models, not LLM-assisted software engineering.
Could LLM Watermark Detection be Public? Evaluates public LLM watermark detectors and introduces a split-key mechanism combining public detection with private verification. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Focuses on watermarking security against tampering, not model efficiency, pruning, or quantization.
Could LLM Watermark Detection be Public? Evaluates public LLM watermark detectors and introduces a split-key mechanism combining public detection with private verification. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Proposes public watermarking mechanisms, not a broader benchmark or evaluation framework for LLMs.
Poster: A Preliminary Study of LLM Distillation Inference Presents a hypothesis testing framework using shadow models to audit whether a language model was distilled from a proprietary teacher. Peer-reviewed	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Focuses on detecting distillation attacks via hypothesis tests rather than general model evaluation methods.
Verification with Transfer: Exact Information Frontiers and Their Price in Calls Establishes information bounds and query complexity frontiers for verifying answers when transferring hints from related source tasks. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Analyzes abstract verification query complexity, not model compression or efficient LLM inference.

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