【本日の論文】
1. InCoder-32B: Code Foundation Model for Industrial Scenarios
https://huggingface.co/papers/2603.16790
2. MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
https://huggingface.co/papers/2603.15726
3. Qianfan-OCR: A Unified End-to-End Model for Document Intelligence
https://huggingface.co/papers/2603.13398
4. Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation
https://huggingface.co/papers/2603.16669
5. Demystifing Video Reasoning
https://huggingface.co/papers/2603.16870

【本日の論文】
1. AI Can Learn Scientific Taste
https://huggingface.co/papers/2603.14473
2. OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
https://huggingface.co/papers/2603.15594
3. EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
https://huggingface.co/papers/2603.13594
4. HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions
https://huggingface.co/papers/2603.15612
5. Grounding World Simulation Models in a Real-World Metropolis
https://huggingface.co/papers/2603.15583

【本日の論文】
1. LMEB: Long-horizon Memory Embedding Benchmark
https://huggingface.co/papers/2603.12572
2. Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation
https://huggingface.co/papers/2603.12793
3. Can Vision-Language Models Solve the Shell Game?
https://huggingface.co/papers/2603.08436
4. daVinci-Env: Open SWE Environment Synthesis at Scale
https://huggingface.co/papers/2603.13023
5. OmniForcing: Unleashing Real-time Joint Audio-Visual Generation
https://huggingface.co/papers/2603.11647

【本日の論文】
1. Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
https://huggingface.co/papers/2603.12255
2. Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
https://huggingface.co/papers/2603.12180
3. IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
https://huggingface.co/papers/2603.12201
4. Video-Based Reward Modeling for Computer-Use Agents
https://huggingface.co/papers/2603.10178
5. ShotVerse: Advancing Cinematic Camera Control for Text-Driven Multi-Shot Video Creation
https://huggingface.co/papers/2603.11421

【本日の論文】
1. Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
https://huggingface.co/papers/2603.12255
2. Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
https://huggingface.co/papers/2603.12180
3. IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
https://huggingface.co/papers/2603.12201
4. Video-Based Reward Modeling for Computer-Use Agents
https://huggingface.co/papers/2603.10178
5. ShotVerse: Advancing Cinematic Camera Control for Text-Driven Multi-Shot Video Creation
https://huggingface.co/papers/2603.11421

【本日の論文】
1. Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
https://huggingface.co/papers/2603.12255
2. Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
https://huggingface.co/papers/2603.12180
3. IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
https://huggingface.co/papers/2603.12201
4. Video-Based Reward Modeling for Computer-Use Agents
https://huggingface.co/papers/2603.10178
5. DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning
https://huggingface.co/papers/2603.12257

【本日の論文】
1. OpenClaw-RL: Train Any Agent Simply by Talking
https://huggingface.co/papers/2603.10165
2. Flash-KMeans: Fast and Memory-Efficient Exact K-Means
https://huggingface.co/papers/2603.09229
3. MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
https://huggingface.co/papers/2603.09827
4. LLM2Vec-Gen: Generative Embeddings from Large Language Models
https://huggingface.co/papers/2603.10913
5. ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
https://huggingface.co/papers/2603.10160

【本日の論文】
1. Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing
https://huggingface.co/papers/2603.03143
2. Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
https://huggingface.co/papers/2603.09906
3. Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
https://huggingface.co/papers/2603.06577
4. MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
https://huggingface.co/papers/2603.09206
5. InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing
https://huggingface.co/papers/2603.09877

【本日の論文】
1. Lost in Stories: Consistency Bugs in Long Story Generation by LLMs
https://huggingface.co/papers/2603.05890
2. Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence
https://huggingface.co/papers/2603.07660
3. LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory
https://huggingface.co/papers/2603.03269
4. Believe Your Model: Distribution-Guided Confidence Calibration
https://huggingface.co/papers/2603.03872
5. How Far Can Unsupervised RLVR Scale LLM Training?
https://huggingface.co/papers/2603.08660

【本日の論文】
1. Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
https://huggingface.co/papers/2603.06569
2. BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
https://huggingface.co/papers/2603.04918
3. Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
https://huggingface.co/papers/2603.05438
4. WildActor: Unconstrained Identity-Preserving Video Generation
https://huggingface.co/papers/2603.00586
5. Progressive Residual Warmup for Language Model Pretraining
https://huggingface.co/papers/2603.05369