Internal Generation Record
Internal generation metadata: 326 candidate papers.
Generation Record
This page preserves selected papers, candidate scale, and source-date metadata for traceability. The page only changes presentation, not selected papers, ordering, or counts.
Internal generation record. Fetched at 2026-07-19T22:07:11.714043+00:00. Generated at 2026-07-19T22:08:30.753153+00:00. Machine-readable details stay under data/processed and data/reports.
Selected papers
| Rank | Takeaway | Topic | arXiv |
|---|---|---|---|
| 53 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2607.15218 |
| 54 | improve model reasoning, planning, and verification | Benchmarks and Evaluation | 2607.15202 |
| 55 | improve code generation, execution feedback, and automated repair | Data Engineering | 2607.15166 |
| 56 | improve model reasoning, planning, and verification | Training and Post-training | 2607.15161 |
| 58 | improve model reasoning, planning, and verification | Robotics and Embodied AI | 2607.15065 |
| 59 | improve image generation, visual understanding, and controllable rendering | Vision and Image Generation | 2607.14990 |
| 57 | make agents use tools and reusable skills more reliably | Benchmarks and Evaluation | 2607.15114 |
| 60 | improve image generation, visual understanding, and controllable rendering | Benchmarks and Evaluation | 2607.14984 |
| 61 | make agents use tools and reusable skills more reliably | Speech and Audio | 2607.14846 |
| 62 | improve code generation, execution feedback, and automated repair | Video Generation | 2607.14836 |
| 63 | make RAG retrieval and knowledge-base QA more reliable | Benchmarks and Evaluation | 2607.14817 |
| 64 | improve code generation, execution feedback, and automated repair | Interpretability | 2607.14791 |
| 65 | improve code generation, execution feedback, and automated repair | Vision and Image Generation | 2607.14765 |
| 66 | improve code generation, execution feedback, and automated repair | Video Generation | 2607.14726 |
| 67 | improve model reasoning, planning, and verification | Interpretability | 2607.14720 |
| 68 | make RAG retrieval and knowledge-base QA more reliable | Video Generation | 2607.14708 |
| 69 | make RAG retrieval and knowledge-base QA more reliable | Benchmarks and Evaluation | 2607.14707 |
| 70 | make RAG retrieval and knowledge-base QA more reliable | Code Intelligence | 2607.14655 |
| 71 | make agents use tools and reusable skills more reliably | Training and Post-training | 2607.14643 |
| 72 | make RAG retrieval and knowledge-base QA more reliable | Code Intelligence | 2607.14622 |
| 73 | test temporal consistency and motion realism in video generation | Benchmarks and Evaluation | 2607.14607 |
| 74 | improve model reasoning, planning, and verification | Training and Post-training | 2607.14560 |
| 75 | make RAG retrieval and knowledge-base QA more reliable | Benchmarks and Evaluation | 2607.14509 |
| 76 | improve model reasoning, planning, and verification | Video Generation | 2607.15278 |
| 77 | make agents use tools and reusable skills more reliably | Retrieval and RAG | 2607.15253 |
| 78 | make agents use tools and reusable skills more reliably | Multimodal Models | 2607.15246 |