2026-07-06

Internal Generation Record

Internal generation metadata: 445 candidate papers.

Published 2026-07-06 Target source 2026-07-04 Actual source 2026-07-02 Candidates 445 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 2026-07-05T22:11:04.707142+00:00. Generated at 2026-07-05T22:13:23.880171+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
53identify and reduce safety, jailbreak, and alignment risksTraining and Post-training2607.02072
54make RAG retrieval and knowledge-base QA more reliableSafety and Alignment2607.02047
55make agents use tools and reusable skills more reliablyRetrieval and RAG2607.01992
56strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.01973
57make agents use tools and reusable skills more reliablyAgents and Tool Use2607.01972
59make agents use tools and reusable skills more reliablyCode Intelligence2607.01916
58improve code generation, execution feedback, and automated repairTraining and Post-training2607.01962
60improve model reasoning, planning, and verificationCode Intelligence2607.01893
61strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.01871
62make agents use tools and reusable skills more reliablyTraining and Post-training2607.01846
63improve model reasoning, planning, and verificationBenchmarks and Evaluation2607.01829
64improve code generation, execution feedback, and automated repairTraining and Post-training2607.01736
65improve code generation, execution feedback, and automated repairCode Intelligence2607.01694
66improve training-data curation, synthesis, and deduplicationTraining and Post-training2607.01674
67improve model reasoning, planning, and verificationBenchmarks and Evaluation2607.01667
68make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.01646
69make agents use tools and reusable skills more reliablyRetrieval and RAG2607.01609
70strengthen multimodal understanding of charts, documents, and visual evidenceVideo Generation2607.02516
71make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.02513
72make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.02504
73make agents use tools and reusable skills more reliablyMultimodal Models2607.02490
74make RAG retrieval and knowledge-base QA more reliableMultimodal Models2607.02484
75strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2607.02466
76make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.02453
77improve image generation, visual understanding, and controllable renderingBenchmarks and Evaluation2607.02428
78make agents use tools and reusable skills more reliablyMultimodal Models2607.02426