2026-09-20

Internal Generation Record

Internal generation metadata: 468 candidate papers.

Published 2026-09-20 Target source 2026-09-18 Actual source 2026-09-17 Candidates 468 Featured 6 Tracked 20 Source date fallback

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 2026-09-19T22:56:40.284715+00:00. Generated at 2026-09-19T22:58:19.659504+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
27make agents use tools and reusable skills more reliablyAgents and Tool Use2609.20625
28improve model reasoning, planning, and verificationRetrieval and RAG2609.20563
29make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.20419
30make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.20412
31make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.20123
32strengthen multimodal understanding of charts, documents, and visual evidenceSystems and Deployment2609.20068
33make RAG retrieval and knowledge-base QA more reliableVideo Generation2609.20066
34make agents use tools and reusable skills more reliablyAgents and Tool Use2609.20050
35make agents use tools and reusable skills more reliablyMultimodal Models2609.20012
36test temporal consistency and motion realism in video generationBenchmarks and Evaluation2609.19989
37make agents use tools and reusable skills more reliablyRetrieval and RAG2609.19928
38make agents use tools and reusable skills more reliablyAgents and Tool Use2609.19892
39make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.19842
40improve model reasoning, planning, and verificationMultimodal Models2609.19812
41make agents use tools and reusable skills more reliablyTraining and Post-training2609.19778
42improve model reasoning, planning, and verificationBenchmarks and Evaluation2609.19767
43make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2609.19740
44make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.19695
45make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.19630
46make RAG retrieval and knowledge-base QA more reliableRobotics and Embodied AI2609.19613
47make agents use tools and reusable skills more reliablyRetrieval and RAG2609.19601
48improve image generation, visual understanding, and controllable renderingTraining and Post-training2609.19589
49make agents use tools and reusable skills more reliablyData Engineering2609.19518
50improve code generation, execution feedback, and automated repairCode Intelligence2609.20578
51improve image generation, visual understanding, and controllable renderingRobotics and Embodied AI2609.20575
52make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.20389