{"total":30,"rows":[{"id":"2506.23918","title":"Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers","created":"2025-06-30","cited_by_count":199,"area":"lr"},{"id":"2503.18942","title":"Video-T1: Test-Time Scaling for Video Generation","created":"2025-03-24","cited_by_count":40,"area":"lr"},{"id":"2505.17618","title":"Scaling Image and Video Generation via Test-Time Evolutionary Search","created":"2025-05-23","cited_by_count":40,"area":"lr"},{"id":"2504.03641","title":"MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models","created":"2025-04-04","cited_by_count":24,"area":"lr"},{"id":"2511.13704","title":"TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models","created":"2025-11-17","cited_by_count":19,"area":"lr"},{"id":"2511.13853","title":"Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark","created":"2025-11-17","cited_by_count":19,"area":"lr"},{"id":"2603.16870","title":"Demystifying Video Reasoning","created":"2026-03-17","cited_by_count":14,"area":"lr"},{"id":"2512.02622","title":"RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence","created":"2025-12-02","cited_by_count":13,"area":"lr"},{"id":"2511.22134","title":"DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action","created":"2025-11-27","cited_by_count":12,"area":"lr"},{"id":"2512.14691","title":"MMGR: Multi-Modal Generative Reasoning Benchmark and Evaluation","created":"2025-12-16","cited_by_count":12,"area":"lr"},{"id":"2605.22344","title":"Bernini: Latent Semantic Planning for Video Diffusion","created":"2026-05-21","cited_by_count":12,"area":"lr"},{"id":"2510.20206","title":"RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling","created":"2025-10-23","cited_by_count":10,"area":"lr"},{"id":"2511.18719","title":"Seeing What Matters: Visual Preference Policy Optimization for Visual Generation","created":"2025-11-24","cited_by_count":10,"area":"lr"},{"id":"2506.14827","title":"DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning","created":"2025-06-13","cited_by_count":9,"area":"lr"},{"id":"2512.09924","title":"Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning","created":"2025-12-10","cited_by_count":7,"area":"lr"},{"id":"2602.08346","title":"What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning","created":"2026-02-09","cited_by_count":7,"area":"lr"},{"id":"2511.18919","title":"Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation","created":"2025-11-24","cited_by_count":5,"area":"lr"},{"id":"2603.20194","title":"MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints","created":"2026-03-20","cited_by_count":5,"area":"lr"},{"id":"2506.00996","title":"Temporal In-Context Fine-Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models","created":"2025-06-01","cited_by_count":4,"area":"lr"},{"id":"2605.15980","title":"Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization","created":"2026-05-15","cited_by_count":4,"area":"lr"},{"id":"2606.03183","title":"Inference-Time Scaling for Joint Audio-Video Generation","created":"2026-06-02","cited_by_count":4,"area":"lr"},{"id":"2604.19193","title":"How Far Are Video Models from True Multimodal Reasoning?","created":"2026-04-21","cited_by_count":2,"area":"lr"},{"id":"2604.19234","title":"Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation","created":"2026-04-21","cited_by_count":2,"area":"lr"},{"id":"2604.09201","title":"CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation","created":"2026-04-10","cited_by_count":1,"area":"lr"},{"id":"2605.19995","title":"CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2606.17433","title":"LADBench: A Benchmark for Logical Fault Detection in Images","created":"2026-06-16","cited_by_count":0,"area":"lr"},{"id":"2607.14333","title":"SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning","created":"2026-07-15","cited_by_count":0,"area":"lr"},{"id":"2608.05600","title":"LC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin Correction","created":"2026-08-06","cited_by_count":0,"area":"lr"},{"id":"2609.38541","title":"ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video Editing","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.20089","title":"When Pairwise Preferences Cycle: A Reliability-Anchored Preference Walk for Video GRPO","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}