2026-07-01

Internal Generation Record

Internal generation metadata: 466 candidate papers.

Published 2026-07-01 Target source 2026-06-29 Actual source 2026-06-29 Candidates 466 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 2026-06-30T22:23:37.107649+00:00. Generated at 2026-06-30T22:25:03.752487+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.30249
2strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2606.29966
3make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.29920
4make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.30360
10make agents use tools and reusable skills more reliablyAgents and Tool Use2606.30449
13improve code generation, execution feedback, and automated repairVideo Generation2606.30058
5make RAG retrieval and knowledge-base QA more reliableMultimodal Models2606.30319
6improve code generation, execution feedback, and automated repairMultimodal Models2606.30108
7make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.29960
8improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.29721
9improve model reasoning, planning, and verificationTraining and Post-training2606.29700
11improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.30408
12make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.30189
14make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.29947
15improve code generation, execution feedback, and automated repairData Engineering2606.29904
16make agents use tools and reusable skills more reliablyAgents and Tool Use2606.29823
17improve image generation, visual understanding, and controllable renderingBenchmarks and Evaluation2606.29781
18improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.29716
19improve model reasoning, planning, and verificationTraining and Post-training2606.30642
20make agents use tools and reusable skills more reliablyAgents and Tool Use2606.30616
21make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.30609
22make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.30602
23improve image generation, visual understanding, and controllable renderingBenchmarks and Evaluation2606.30561
24make agents use tools and reusable skills more reliablyAgents and Tool Use2606.30560
25make agents use tools and reusable skills more reliablyAgents and Tool Use2606.30555
26improve model reasoning, planning, and verificationReasoning and Planning2606.30552