【本日の論文】
1. AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
https://huggingface.co/papers/2607.28618
2. Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents
https://huggingface.co/papers/2607.28227
3. Metis: Memory Foundation Model
https://huggingface.co/papers/2607.26760
4. PhiZero: A World Model Built Around Physical Language
https://huggingface.co/papers/2607.28624
5. Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
https://huggingface.co/papers/2607.28568

【本日の論文】
1. TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with

【本日の論文】
1. HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone
https://huggingface.co/papers/2607.25895
2. A New Role for Relevance: Guiding Corpus Interaction in Agentic Search
https://huggingface.co/papers/2607.24223
3. ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition
https://huggingface.co/papers/2607.25565
4. CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents
https://huggingface.co/papers/2607.25431
5. Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory
https://huggingface.co/papers/2607.24368

【本日の論文】
1. Kimi K3: Open Frontier Intelligence
https://huggingface.co/papers/2607.24653
2. JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents
https://huggingface.co/papers/2607.23588
3. From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
https://huggingface.co/papers/2607.24280
4. Progress Reward Modeling for Robotic Learning: A Comprehensive Survey
https://huggingface.co/papers/2607.21655
5. Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation
https://huggingface.co/papers/2607.24731

【本日の論文】
1. DataPrep-Bench: Benchmarking LLMs as Training Data Preparators
https://huggingface.co/papers/2607.20465
2. Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
https://huggingface.co/papers/2607.22529
3. Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
https://huggingface.co/papers/2607.21653
4. Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems
https://huggingface.co/papers/2607.21503
5. Interactive Training 2: Auditable Control Plane for Live Model Training
https://huggingface.co/papers/2607.18314

【本日の論文】
1. AREX: Towards a Recursively Self-Improving Agent for Deep Research
https://huggingface.co/papers/2607.21461
2. K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
https://huggingface.co/papers/2605.09635
3. ReferTrack: Referring Then Tracking for Embodied Visual Tracking
https://huggingface.co/papers/2607.20061
4. Visual Contrastive Self-Distillation
https://huggingface.co/papers/2607.21556
5. Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
https://huggingface.co/papers/2607.21072

【本日の論文】
1. AREX: Towards a Recursively Self-Improving Agent for Deep Research
https://huggingface.co/papers/2607.21461
2. K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
https://huggingface.co/papers/2605.09635
3. ReferTrack: Referring Then Tracking for Embodied Visual Tracking
https://huggingface.co/papers/2607.20061
4. Visual Contrastive Self-Distillation
https://huggingface.co/papers/2607.21556
5. Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
https://huggingface.co/papers/2607.21072

【本日の論文】
1. AREX: Towards a Recursively Self-Improving Agent for Deep Research
https://huggingface.co/papers/2607.21461
2. ReferTrack: Referring Then Tracking for Embodied Visual Tracking
https://huggingface.co/papers/2607.20061
3. K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
https://huggingface.co/papers/2605.09635
4. Visual Contrastive Self-Distillation
https://huggingface.co/papers/2607.21556
5. Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
https://huggingface.co/papers/2607.21072

【本日の論文】
1. SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
https://huggingface.co/papers/2607.20145
2. Self Gradient Forcing: Native Long Video Extrapolation
https://huggingface.co/papers/2607.20368
3. Beyond Relevance-Centric Retrieval: Rubric-Oriented Document Set Selection and Ranking
https://huggingface.co/papers/2607.19747
4. An Exam for Active Observers
https://huggingface.co/papers/2607.16165
5. Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models
https://huggingface.co/papers/2607.19604

【本日の論文】
1. ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU
https://huggingface.co/papers/2607.19191
2. DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
https://huggingface.co/papers/2607.16617
3. Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers
https://huggingface.co/papers/2607.19139
4. Generative World Renderer at the Speed of Play
https://huggingface.co/papers/2607.18703
5. Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing
https://huggingface.co/papers/2607.19064