2026-07-27

Internal Generation Record

Internal generation metadata: 321 candidate papers.

Published 2026-07-27 Target source 2026-07-25 Actual source 2026-07-23 Candidates 321 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 2026-07-26T22:12:31.526332+00:00. Generated at 2026-07-26T22:13:54.348065+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
53improve code generation, execution feedback, and automated repairCode Intelligence2607.21188
54make agents use tools and reusable skills more reliablySpeech and Audio2607.21180
55make RAG retrieval and knowledge-base QA more reliableVideo Generation2607.21174
56make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.21131
57test temporal consistency and motion realism in video generationBenchmarks and Evaluation2607.21117
58make agents use tools and reusable skills more reliablyAgents and Tool Use2607.21111
59make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.21010
60improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.21007
61make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.21003
62make agents use tools and reusable skills more reliablyAgents and Tool Use2607.20982
63improve model reasoning, planning, and verificationData Engineering2607.20924
64make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.20914
65improve model reasoning, planning, and verificationCode Intelligence2607.20852
66improve model reasoning, planning, and verificationMultimodal Models2607.21595
67make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.21570
68improve model reasoning, planning, and verificationReasoning and Planning2607.21558
69make agents use tools and reusable skills more reliablyAgents and Tool Use2607.21557
70improve model reasoning, planning, and verificationMultimodal Models2607.21552
71make RAG retrieval and knowledge-base QA more reliableSpeech and Audio2607.21540
72improve code generation, execution feedback, and automated repairCode Intelligence2607.21530
73make agents use tools and reusable skills more reliablyAgents and Tool Use2607.21522
74improve model reasoning, planning, and verificationTraining and Post-training2607.21519
75make agents use tools and reusable skills more reliablyAgents and Tool Use2607.21503
76make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.21488
77improve code generation, execution feedback, and automated repairCode Intelligence2607.21456
78make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.21453