2026-08-29

Internal Generation Record

Internal generation metadata: 399 candidate papers.

Published 2026-08-29 Target source 2026-08-27 Actual source 2026-08-27 Candidates 399 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 2026-08-28T17:13:13.691032+00:00. Generated at 2026-08-28T17:14:33.211065+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.26867
2test temporal consistency and motion realism in video generationBenchmarks and Evaluation2608.26649
3make agents use tools and reusable skills more reliablyAgents and Tool Use2608.27348
4improve code generation, execution feedback, and automated repairVideo Generation2608.26971
6improve code generation, execution feedback, and automated repairData Engineering2608.26779
7test temporal consistency and motion realism in video generationTraining and Post-training2608.26655
5improve model reasoning, planning, and verificationBenchmarks and Evaluation2608.26832
8improve code generation, execution feedback, and automated repairSpeech and Audio2608.27360
9make RAG retrieval and knowledge-base QA more reliableData Engineering2608.26848
10strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2608.26806
11make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.26753
12improve code generation, execution feedback, and automated repairCode Intelligence2608.26618
13improve model reasoning, planning, and verificationReasoning and Planning2608.26550
14strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2608.26517
15make agents use tools and reusable skills more reliablyCode Intelligence2608.27442
16make agents use tools and reusable skills more reliablyAgents and Tool Use2608.27439
17make RAG retrieval and knowledge-base QA more reliableRobotics and Embodied AI2608.27407
18make agents use tools and reusable skills more reliablyAgents and Tool Use2608.27334
19make agents use tools and reusable skills more reliablyAgents and Tool Use2608.27311
20make RAG retrieval and knowledge-base QA more reliableMultimodal Models2608.27239
21improve model reasoning, planning, and verificationCode Intelligence2608.27206
22improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.27190
23make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2608.27181
24improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.27178
25make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2608.27169
26make agents use tools and reusable skills more reliablyData Engineering2608.27150