2026-08-01

Internal Generation Record

Internal generation metadata: 469 candidate papers.

Published 2026-08-01 Target source 2026-07-30 Actual source 2026-07-30 Candidates 469 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 2026-07-31T22:13:25.341026+00:00. Generated at 2026-07-31T22:14:59.993695+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1make agents use tools and reusable skills more reliablyVideo Generation2607.27760
2make agents use tools and reusable skills more reliablySystems and Deployment2607.28196
3make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.28587
4make agents use tools and reusable skills more reliablyTraining and Post-training2607.28568
5improve model reasoning, planning, and verificationReasoning and Planning2607.28451
6improve code generation, execution feedback, and automated repairCode Intelligence2607.28422
7make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.28033
8make agents use tools and reusable skills more reliablySafety and Alignment2607.27849
9test temporal consistency and motion realism in video generationTraining and Post-training2607.28623
10make agents use tools and reusable skills more reliablyCode Intelligence2607.28591
11make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.28581
12identify and reduce safety, jailbreak, and alignment risksVision and Image Generation2607.28483
13improve code generation, execution feedback, and automated repairSystems and Deployment2607.28144
14make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.28087
15strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.27902
16strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.28565
17make agents use tools and reusable skills more reliablyAgents and Tool Use2607.28399
18make agents use tools and reusable skills more reliablyAgents and Tool Use2607.28367
19make agents use tools and reusable skills more reliablyRetrieval and RAG2607.28271
20improve code generation, execution feedback, and automated repairSystems and Deployment2607.27990
21strengthen multimodal understanding of charts, documents, and visual evidenceSafety and Alignment2607.27917
22make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2607.27913
23make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.27773
24make agents use tools and reusable skills more reliablyAgents and Tool Use2607.27690
25make agents use tools and reusable skills more reliablyAgents and Tool Use2607.27687
26improve code generation, execution feedback, and automated repairCode Intelligence2607.27568