Internal Generation Record
Internal generation metadata: 100 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 2026-09-14T00:22:36.308662+00:00. Generated at 2026-09-14T00:30:43.731553+00:00. Machine-readable details stay under data/processed and data/reports.
Selected papers
| Rank | Takeaway | Topic | arXiv |
|---|---|---|---|
| 35 | test temporal consistency and motion realism in video generation | Benchmarks and Evaluation | 2609.11877 |
| 36 | make RAG retrieval and knowledge-base QA more reliable | Retrieval and RAG | 2609.11873 |
| 37 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2609.11871 |
| 38 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2609.11863 |
| 40 | improve code generation, execution feedback, and automated repair | Training and Post-training | 2609.11716 |
| 41 | track a high-signal other paper | Other | 2609.11712 |
| 39 | improve code generation, execution feedback, and automated repair | Benchmarks and Evaluation | 2609.11786 |
| 42 | improve model reasoning, planning, and verification | Systems and Deployment | 2609.11687 |
| 43 | make RAG retrieval and knowledge-base QA more reliable | Benchmarks and Evaluation | 2609.11673 |
| 44 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2609.11656 |
| 45 | make agents use tools and reusable skills more reliably | Video Generation | 2609.11650 |
| 46 | strengthen multimodal understanding of charts, documents, and visual evidence | Code Intelligence | 2609.11642 |
| 47 | improve code generation, execution feedback, and automated repair | Code Intelligence | 2609.11923 |
| 48 | improve model reasoning, planning, and verification | Benchmarks and Evaluation | 2609.11897 |
| 49 | test temporal consistency and motion realism in video generation | Benchmarks and Evaluation | 2609.11892 |
| 50 | test temporal consistency and motion realism in video generation | Training and Post-training | 2609.11884 |
| 51 | improve code generation, execution feedback, and automated repair | Training and Post-training | 2609.11876 |
| 52 | strengthen multimodal understanding of charts, documents, and visual evidence | Benchmarks and Evaluation | 2609.11872 |
| 53 | improve image generation, visual understanding, and controllable rendering | Benchmarks and Evaluation | 2609.11870 |
| 54 | extend AI capabilities across speech, audio, and sound tasks | Speech and Audio | 2609.11865 |
| 55 | improve code generation, execution feedback, and automated repair | Benchmarks and Evaluation | 2609.11851 |
| 56 | improve model reasoning, planning, and verification | Training and Post-training | 2609.11801 |
| 57 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2609.11772 |
| 58 | use benchmarks and evaluations to expose model weaknesses | Benchmarks and Evaluation | 2609.11770 |
| 59 | improve code generation, execution feedback, and automated repair | Code Intelligence | 2609.11749 |
| 60 | make agents use tools and reusable skills more reliably | Agents and Tool Use | 2609.11737 |