2026-09-11

Internal Generation Record

Internal generation metadata: 354 candidate papers.

Published 2026-09-11 Target source 2026-09-09 Actual source 2026-09-09 Candidates 354 Featured 6 Tracked 20

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 2026-09-10T23:06:33.059368+00:00. Generated at 2026-09-10T23:07:58.662106+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1make agents use tools and reusable skills more reliablyAgents and Tool Use2609.09875
2make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.09705
3improve model reasoning, planning, and verificationAgents and Tool Use2609.10385
4make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.10261
6make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.10002
10improve code generation, execution feedback, and automated repairSafety and Alignment2609.09553
5test temporal consistency and motion realism in video generationBenchmarks and Evaluation2609.10187
7improve model reasoning, planning, and verificationBenchmarks and Evaluation2609.09728
8improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2609.09662
9make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.09604
11strengthen multimodal understanding of charts, documents, and visual evidenceSystems and Deployment2609.10122
12improve model reasoning, planning, and verificationBenchmarks and Evaluation2609.09887
13make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.09854
14make RAG retrieval and knowledge-base QA more reliableData Engineering2609.09848
15make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.09737
16make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.09682
17improve code generation, execution feedback, and automated repairData Engineering2609.09552
18make agents use tools and reusable skills more reliablyCode Intelligence2609.10539
19make agents use tools and reusable skills more reliablyTraining and Post-training2609.10441
20test temporal consistency and motion realism in video generationSystems and Deployment2609.10439
21make agents use tools and reusable skills more reliablyAgents and Tool Use2609.10430
22make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2609.10372
23make RAG retrieval and knowledge-base QA more reliableCode Intelligence2609.10355
24make agents use tools and reusable skills more reliablyData Engineering2609.10350
25make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.10333
26make agents use tools and reusable skills more reliablyAgents and Tool Use2609.10315