2026-06-10

Internal Generation Record

Internal generation metadata: 571 candidate papers.

Published 2026-06-10 Target source 2026-06-08 Actual source 2026-06-08 Candidates 571 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 2026-06-10T03:01:09.415156+00:00. Generated at 2026-06-10T03:02:15.345006+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
27make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.10156
28strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2606.10142
29test temporal consistency and motion realism in video generationBenchmarks and Evaluation2606.10126
30make agents use tools and reusable skills more reliablyRetrieval and RAG2606.10120
31make agents use tools and reusable skills more reliablyCode Intelligence2606.10106
32improve code generation, execution feedback, and automated repairTraining and Post-training2606.10078
33make agents use tools and reusable skills more reliablySystems and Deployment2606.10062
34make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.10019
35strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2606.09827
36make agents use tools and reusable skills more reliablyAgents and Tool Use2606.09751
37make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.09748
38make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.09738
39make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.09709
40strengthen multimodal understanding of charts, documents, and visual evidenceReasoning and Planning2606.09686
41improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.09644
42make RAG retrieval and knowledge-base QA more reliableData Engineering2606.09639
43make agents use tools and reusable skills more reliablyRetrieval and RAG2606.09632
44make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.09615
45make agents use tools and reusable skills more reliablyRobotics and Embodied AI2606.09610
46strengthen multimodal understanding of charts, documents, and visual evidenceRetrieval and RAG2606.09603
47make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.09601
48make RAG retrieval and knowledge-base QA more reliableMultimodal Models2606.09595
49test temporal consistency and motion realism in video generationRobotics and Embodied AI2606.09559
50make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.09553
51make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2606.09508
52improve model reasoning, planning, and verificationTraining and Post-training2606.09475