2026-09-01

Internal Generation Record

Internal generation metadata: 330 candidate papers.

Published 2026-09-01 Target source 2026-08-30 Actual source 2026-08-28 Candidates 330 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 2026-08-31T16:54:46.951074+00:00. Generated at 2026-08-31T16:56:04.599130+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1test temporal consistency and motion realism in video generationBenchmarks and Evaluation2608.28405
2make agents use tools and reusable skills more reliablyAgents and Tool Use2608.28345
3improve code generation, execution feedback, and automated repairSystems and Deployment2608.28033
4make agents use tools and reusable skills more reliablyAgents and Tool Use2608.27856
5improve model reasoning, planning, and verificationCode Intelligence2608.28300
6make RAG retrieval and knowledge-base QA more reliableMultimodal Models2608.28248
7make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2608.28145
8improve code generation, execution feedback, and automated repairVision and Image Generation2608.28082
9improve model reasoning, planning, and verificationData Engineering2608.27974
10make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2608.27950
11make RAG retrieval and knowledge-base QA more reliableSafety and Alignment2608.27945
12test temporal consistency and motion realism in video generationBenchmarks and Evaluation2608.27940
13make agents use tools and reusable skills more reliablyAgents and Tool Use2608.27912
14identify and reduce safety, jailbreak, and alignment risksBenchmarks and Evaluation2608.28508
15make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.28475
16strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2608.28455
17make agents use tools and reusable skills more reliablyAgents and Tool Use2608.28439
18make RAG retrieval and knowledge-base QA more reliableMultimodal Models2608.28288
19improve code generation, execution feedback, and automated repairTraining and Post-training2608.28009
20make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2608.27873
21improve code generation, execution feedback, and automated repairData Engineering2608.27860
22make agents use tools and reusable skills more reliablyAgents and Tool Use2608.28490
23improve model reasoning, planning, and verificationBenchmarks and Evaluation2608.28478
24make agents use tools and reusable skills more reliablyAgents and Tool Use2608.28476
25make agents use tools and reusable skills more reliablyData Engineering2608.28453
26improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.28411