2026-06-22

Internal Generation Record

Internal generation metadata: 419 candidate papers.

Published 2026-06-22 Target source 2026-06-20 Actual source 2026-06-18 Candidates 419 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 2026-06-21T22:21:40.781167+00:00. Generated at 2026-06-21T22:23:09.917786+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
53make agents use tools and reusable skills more reliablyRetrieval and RAG2606.19911
54improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.19910
55make agents use tools and reusable skills more reliablyAgents and Tool Use2606.19899
56make RAG retrieval and knowledge-base QA more reliableMultimodal Models2606.19882
57make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.19878
58make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2606.19874
59make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.19857
60improve code generation, execution feedback, and automated repairData Engineering2606.19838
61improve code generation, execution feedback, and automated repairTraining and Post-training2606.19836
62make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.19830
63make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.19827
64make RAG retrieval and knowledge-base QA more reliableRobotics and Embodied AI2606.19813
65make agents use tools and reusable skills more reliablyAgents and Tool Use2606.19812
66make agents use tools and reusable skills more reliablySafety and Alignment2606.19755
67make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2606.19692
68improve model reasoning, planning, and verificationRetrieval and RAG2606.19682
69improve code generation, execution feedback, and automated repairCode Intelligence2606.19668
70improve model reasoning, planning, and verificationCode Intelligence2606.20526
71make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.20521
72test temporal consistency and motion realism in video generationSystems and Deployment2606.20518
73improve model reasoning, planning, and verificationCode Intelligence2606.20517
74make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20510
75make agents use tools and reusable skills more reliablySystems and Deployment2606.20474
76make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20470
77test temporal consistency and motion realism in video generationTraining and Post-training2606.20303
78improve code generation, execution feedback, and automated repairTraining and Post-training2606.20225