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
Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability This paper introduces a video benchmark derived from competitive game records to evaluate dynamic spatiotemporal world state tracking. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Evaluates game video understanding, not industrial visual inspection.
Disentangling Task-Relevant Latent Dynamics for Reward Modeling This paper proposes a latent dynamics model to learn dense robotic manipulation rewards from videos without confounding visual distractors. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic manipulation rewards, not manufacturing inspection.
Disentangling Task-Relevant Latent Dynamics for Reward Modeling This paper proposes a latent dynamics model to learn dense robotic manipulation rewards from videos without confounding visual distractors. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on reinforcement learning reward modeling from video, not multimodal models.
Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins This paper presents a semantic edge-to-cloud communication method to reduce transmission bandwidth for real-time urban traffic digital twins. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on edge-cloud network communications, not multimodal model architectures.
Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins This paper presents a semantic edge-to-cloud communication method to reduce transmission bandwidth for real-time urban traffic digital twins. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses urban traffic digital twins, not industrial visual inspection.
ClothCode: Generative Modeling for Garment State Estimation and Dynamics Prediction This paper presents a discrete generative transformer framework for garment state estimation and dynamics prediction in robotic manipulation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic garment manipulation, not industrial inspection.
ClothCode: Generative Modeling for Garment State Estimation and Dynamics Prediction This paper presents a discrete generative transformer framework for garment state estimation and dynamics prediction in robotic manipulation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on garment state estimation and dynamics, not multimodal models.
Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry This paper evaluates category name matching versus pairwise geometry metrics for candidate retrieval in context-constrained 3D vision-language models. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies context retrieval for 3D VLMs, not model compression.
Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry This paper evaluates category name matching versus pairwise geometry metrics for candidate retrieval in context-constrained 3D vision-language models. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Focuses on candidate retrieval efficiency, not safety or guardrails.
Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry This paper evaluates category name matching versus pairwise geometry metrics for candidate retrieval in context-constrained 3D vision-language models. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Studies 3D grounding candidate retrieval rather than general LLM evaluation.
Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry This paper evaluates category name matching versus pairwise geometry metrics for candidate retrieval in context-constrained 3D vision-language models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D scene grounding, not manufacturing or industrial inspection.
Agreement versus Softmax under Spatial Disambiguation This paper evaluates calibration differences between object-level softmax and agreement metrics when resolving ambiguous 3D referring queries. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D referring metric calibration rather than LLM evaluation.
Agreement versus Softmax under Spatial Disambiguation This paper evaluates calibration differences between object-level softmax and agreement metrics when resolving ambiguous 3D referring queries. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses 3D visual grounding calibration, not industrial defect detection.
Agreement versus Softmax under Spatial Disambiguation This paper evaluates calibration differences between object-level softmax and agreement metrics when resolving ambiguous 3D referring queries. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Studies metric calibration in 3D referring, not AI safety or jailbreaks.
Agreement versus Softmax under Spatial Disambiguation This paper evaluates calibration differences between object-level softmax and agreement metrics when resolving ambiguous 3D referring queries. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Examines metric calibration in 3D referring, not model efficiency.
SliderEdit++: Improved Slider Trajectories in Instruction-Based Image Editing This paper introduces a benchmark and a trajectory regularization method for continuous, fine-grained control in instruction-based image editing. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on image editing trajectory regularization, not multimodal reasoning.
SliderEdit++: Improved Slider Trajectories in Instruction-Based Image Editing This paper introduces a benchmark and a trajectory regularization method for continuous, fine-grained control in instruction-based image editing. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies instruction-based image editing sliders, not industrial defect detection.
Image Diffusion Models Are Good 3D Human Motion Generators This paper adapts image diffusion transformers to generate 3D human motion from text using joint-time representations. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D human motion generation, not industrial inspection.
Image Diffusion Models Are Good 3D Human Motion Generators This paper adapts image diffusion transformers to generate 3D human motion from text using joint-time representations. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D skeletal motion diffusion from text, not multimodal reasoning.
BigCell: Generating Gigapixel Whole-Slide Images This paper presents a flow-matching transformer pipeline to generate full gigapixel histopathology whole-slide images. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Addresses large-scale histopathology generation, not small or efficient model compression.
BigCell: Generating Gigapixel Whole-Slide Images This paper presents a flow-matching transformer pipeline to generate full gigapixel histopathology whole-slide images. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical image generation rather than deployment safety or jailbreaks.
BigCell: Generating Gigapixel Whole-Slide Images This paper presents a flow-matching transformer pipeline to generate full gigapixel histopathology whole-slide images. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative vision transformers for pathology, not multimodal interaction.
BigCell: Generating Gigapixel Whole-Slide Images This paper presents a flow-matching transformer pipeline to generate full gigapixel histopathology whole-slide images. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Deals with gigapixel histopathology imaging, not manufacturing inspection.
BigCell: Generating Gigapixel Whole-Slide Images This paper presents a flow-matching transformer pipeline to generate full gigapixel histopathology whole-slide images. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative image modeling rather than LLM evaluation benchmarks.
Thinking with Images without Coordinates This paper introduces a method for multimodal models to reason over images using token-level latent regions instead of bounding-box coordinates. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies visual reasoning in VLMs, not industrial inspection.
TGSR: Text-Grounded Diffusion for Faithful Image Super-Resolution This paper presents a test-time diffusion method that suppresses text hallucinations during image super-resolution by selectively generating text. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on super-resolution text hallucination, not industrial defect detection.
TGSR: Text-Grounded Diffusion for Faithful Image Super-Resolution This paper presents a test-time diffusion method that suppresses text hallucinations during image super-resolution by selectively generating text. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses diffusion image super-resolution, not multimodal reasoning or vision-language models.
Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques This paper develops an immersion-based recurrent network approach for trajectory tracking and navigation on curved geometric manifolds. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on theoretical manifold navigation, not industrial visual inspection.
Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques This paper develops an immersion-based recurrent network approach for trajectory tracking and navigation on curved geometric manifolds. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on recurrent models on geometric manifolds, not multimodal vision-language.
Real-Time Traffic Density Estimation: A Hybrid Computer Vision and Predictive Machine Learning Pipeline This paper benchmarks a pipeline combining real-time object detection with recurrent neural networks to forecast short-term traffic density. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on traffic density estimation, not manufacturing or industrial inspection.
Real-Time Traffic Density Estimation: A Hybrid Computer Vision and Predictive Machine Learning Pipeline This paper benchmarks a pipeline combining real-time object detection with recurrent neural networks to forecast short-term traffic density. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with vehicle detection and time-series estimation without multimodal models.
Learning Transferable World-Action Models from Task-Paired Human Videos This paper proposes pretraining world-action models by predicting future actions and frames across paired human demonstration videos. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Robot world-action modeling from human video, not industrial inspection or defect detection.
Learning Transferable World-Action Models from Task-Paired Human Videos This paper proposes pretraining world-action models by predicting future actions and frames across paired human demonstration videos. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on visual world-action models for robotics, not multimodal vision-language models.
VisualCoding: Learning Executable Skills for Reliable Visual Reasoning This paper introduces a framework that acquires and directly executes reusable visual programs to improve multimodal reasoning agent reliability. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Visual program acquisition for reasoning benchmarks, not industrial visual inspection.
Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data This paper studies transformer architectural choices for handling missing modalities and longitudinal observations in multimodal healthcare datasets. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Healthcare multimodal clinical data, not industrial visual inspection or defect detection.
Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data This paper studies transformer architectural choices for handling missing modalities and longitudinal observations in multimodal healthcare datasets. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Analyzes tabular healthcare data architectures, not LLM benchmarks or evaluation.
Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data This paper studies transformer architectural choices for handling missing modalities and longitudinal observations in multimodal healthcare datasets. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Investigates tokenization for missing data, not small or efficient model serving.
Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data This paper studies transformer architectural choices for handling missing modalities and longitudinal observations in multimodal healthcare datasets. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Studies multimodal data fusion, not AI safety, guardrails, or jailbreaks.
FreeCHROMA: Generative Chroma Keying from Unaligned Background References This paper introduces a parameter-efficient diffusion method to composite video foregrounds into unaligned background reference scenes. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on video background compositing and generation, not multimodal models.
FreeCHROMA: Generative Chroma Keying from Unaligned Background References This paper introduces a parameter-efficient diffusion method to composite video foregrounds into unaligned background reference scenes. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Video chroma keying for film production, not industrial defect detection.
Multi-modal Representation Fusion for Long-term Microsurgical Anastomosis Trajectory Anticipation This paper proposes a cross-modal representation fusion method to predict long-term tool trajectories during microsurgical anastomosis procedures. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Microsurgical trajectory anticipation, not industrial inspection or manufacturing quality control.
Multi-modal Representation Fusion for Long-term Microsurgical Anastomosis Trajectory Anticipation This paper proposes a cross-modal representation fusion method to predict long-term tool trajectories during microsurgical anastomosis procedures. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Fuses surgical video and motion trajectories, not multimodal vision-language models.
DSR-Net: Learning Dynamic Skeletal Relations for 3D Human Pose Estimation This paper proposes a framework that learns dynamic skeletal joint relationships and temporal interactions for 3D human pose estimation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D skeletal pose estimation from vision, not multimodal models.
DSR-Net: Learning Dynamic Skeletal Relations for 3D Human Pose Estimation This paper proposes a framework that learns dynamic skeletal joint relationships and temporal interactions for 3D human pose estimation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Human 3D pose estimation, not industrial inspection or defect detection.
Spatiotemporal Recognition of Abdominal Wall Layers During Optical Trocar Entry This paper evaluates spatial and temporal modeling methods to improve multi-class tissue recognition during surgical optical trocar insertion. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Surgical tissue recognition, not manufacturing or industrial quality control.
Spatiotemporal Recognition of Abdominal Wall Layers During Optical Trocar Entry This paper evaluates spatial and temporal modeling methods to improve multi-class tissue recognition during surgical optical trocar insertion. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Applies spatiotemporal computer vision to medical videos, not multimodal models.
TartanMatch: Towards Universal Dense Correspondence Across Modalities This paper presents a unified model for dense visual correspondence across 25 pairs of multi-modal sensor inputs. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Focuses on cross-modal correspondence, not AI safety, alignment, or guardrails.
TartanMatch: Towards Universal Dense Correspondence Across Modalities This paper presents a unified model for dense visual correspondence across 25 pairs of multi-modal sensor inputs. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant A cross-sensor matching model, not a small language model or model compression technique.
TartanMatch: Towards Universal Dense Correspondence Across Modalities This paper presents a unified model for dense visual correspondence across 25 pairs of multi-modal sensor inputs. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Universal robotic sensor correspondence, not industrial visual inspection or defect detection.
TartanMatch: Towards Universal Dense Correspondence Across Modalities This paper presents a unified model for dense visual correspondence across 25 pairs of multi-modal sensor inputs. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Proposes a cross-modal correspondence model, not an LLM evaluation benchmark.
We Have Been Interpreting Diffusion Transformer Backbone Behaviors Wrong This paper analyzes intermediate layer activations in diffusion transformer backbones to explain why layer performance follows an inverted-U curve. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Diffusion transformer analysis, not industrial visual inspection or defect detection.
We Have Been Interpreting Diffusion Transformer Backbone Behaviors Wrong This paper analyzes intermediate layer activations in diffusion transformer backbones to explain why layer performance follows an inverted-U curve. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Analyzes internal layer representations of diffusion vision models, not multimodal models.
InfraWorld: Motion-Aware World Modeling for Roadside 4D Occupancy Forecasting Proposes a world model combining dense bird's-eye-view representations and motion queries for roadside dynamic occupancy forecasting. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with 3D/4D spatial occupancy forecasting, not multimodal vision-language models.
InfraWorld: Motion-Aware World Modeling for Roadside 4D Occupancy Forecasting Proposes a world model combining dense bird's-eye-view representations and motion queries for roadside dynamic occupancy forecasting. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Autonomous driving roadside occupancy forecasting, not manufacturing defect detection.
Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation Introduces an adversarial training method to make few-step autoregressive video models robust against accumulated rollout errors. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with generative video modeling, not multimodal models.
Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation Introduces an adversarial training method to make few-step autoregressive video models robust against accumulated rollout errors. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Autoregressive video generation robustness, not industrial visual inspection or defect detection.
FrameFold: Response-Guided KV Cache Consolidation for Autoregressive Long Video Generation Proposes a training-free KV cache consolidation technique guided by historical queries to manage memory in long video generation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Video generation KV cache consolidation, not industrial visual inspection or defect detection.
FrameFold: Response-Guided KV Cache Consolidation for Autoregressive Long Video Generation Proposes a training-free KV cache consolidation technique guided by historical queries to manage memory in long video generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses purely on video generation KV cache optimization, not cross-modal understanding.
Remembering What Matters for Long-Horizon Robotic World Models Develops a context-scheduling method that preserves anchor frames and evicts stale history in long-horizon robotic world models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic video world models and context scheduling, not multimodal reasoning.
Remembering What Matters for Long-Horizon Robotic World Models Develops a context-scheduling method that preserves anchor frames and evicts stale history in long-horizon robotic world models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Robotic world models, not industrial visual inspection or defect detection.

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