Internal Generation Record
Internal generation metadata: 335 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 2026-07-28T22:14:18.266515+00:00. Generated at 2026-07-28T22:15:34.394287+00:00. Machine-readable details stay under data/processed and data/reports.
Selected papers
| Rank | Takeaway | Topic | arXiv |
|---|---|---|---|
| 1 | improve code generation, execution feedback, and automated repair | Systems and Deployment | 2607.24184 |
| 2 | make agents use tools and reusable skills more reliably | Robotics and Embodied AI | 2607.24672 |
| 3 | improve code generation, execution feedback, and automated repair | Benchmarks and Evaluation | 2607.24519 |
| 4 | make RAG retrieval and knowledge-base QA more reliable | Training and Post-training | 2607.24683 |
| 5 | make agents use tools and reusable skills more reliably | Retrieval and RAG | 2607.24512 |
| 6 | improve code generation, execution feedback, and automated repair | Data Engineering | 2607.24365 |
| 7 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2607.24339 |
| 8 | improve model reasoning, planning, and verification | Multimodal Models | 2607.23944 |
| 9 | improve model reasoning, planning, and verification | Systems and Deployment | 2607.24555 |
| 10 | improve model reasoning, planning, and verification | Reasoning and Planning | 2607.24471 |
| 11 | strengthen multimodal understanding of charts, documents, and visual evidence | Multimodal Models | 2607.24353 |
| 12 | make agents use tools and reusable skills more reliably | Retrieval and RAG | 2607.24313 |
| 13 | make RAG retrieval and knowledge-base QA more reliable | Safety and Alignment | 2607.24243 |
| 14 | make agents use tools and reusable skills more reliably | Training and Post-training | 2607.24057 |
| 15 | make RAG retrieval and knowledge-base QA more reliable | Retrieval and RAG | 2607.24015 |
| 16 | test temporal consistency and motion realism in video generation | Benchmarks and Evaluation | 2607.23987 |
| 17 | improve model reasoning, planning, and verification | Robotics and Embodied AI | 2607.23899 |
| 18 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2607.24744 |
| 19 | make agents use tools and reusable skills more reliably | Multimodal Models | 2607.24707 |
| 20 | make RAG retrieval and knowledge-base QA more reliable | Multimodal Models | 2607.24701 |
| 21 | improve code generation, execution feedback, and automated repair | Benchmarks and Evaluation | 2607.24688 |
| 22 | improve model reasoning, planning, and verification | Benchmarks and Evaluation | 2607.24611 |
| 23 | make agents use tools and reusable skills more reliably | Code Intelligence | 2607.24604 |
| 24 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2607.24588 |
| 25 | make agents use tools and reusable skills more reliably | Benchmarks and Evaluation | 2607.24577 |
| 26 | strengthen multimodal understanding of charts, documents, and visual evidence | Benchmarks and Evaluation | 2607.24560 |