2026-07-30

Internal Generation Record

Internal generation metadata: 355 candidate papers.

Published 2026-07-30 Target source 2026-07-28 Actual source 2026-07-28 Candidates 355 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 2026-07-29T22:09:13.270000+00:00. Generated at 2026-07-29T22:10:36.218453+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.25641
2improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.25926
3improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.25778
4make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.25524
5make RAG retrieval and knowledge-base QA more reliableMultimodal Models2607.25503
7make RAG retrieval and knowledge-base QA more reliableVideo Generation2607.25465
6strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.25487
8make agents use tools and reusable skills more reliablyAgents and Tool Use2607.25379
9make agents use tools and reusable skills more reliablyAgents and Tool Use2607.25283
10make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.25210
11improve model reasoning, planning, and verificationCode Intelligence2607.25996
12strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.25948
13make RAG retrieval and knowledge-base QA more reliableRobotics and Embodied AI2607.25912
14make RAG retrieval and knowledge-base QA more reliableCode Intelligence2607.25543
15make agents use tools and reusable skills more reliablyAgents and Tool Use2607.25415
16make agents use tools and reusable skills more reliablyAgents and Tool Use2607.26042
17strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.26000
18make agents use tools and reusable skills more reliablyRetrieval and RAG2607.25992
19improve model reasoning, planning, and verificationBenchmarks and Evaluation2607.25947
20make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.25886
21strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.25857
22improve model reasoning, planning, and verificationTraining and Post-training2607.25823
23make RAG retrieval and knowledge-base QA more reliableMultimodal Models2607.25794
24make RAG retrieval and knowledge-base QA more reliableVideo Generation2607.25791
25make agents use tools and reusable skills more reliablyAgents and Tool Use2607.25765
26make agents use tools and reusable skills more reliablyAgents and Tool Use2607.25754