2026-07-15

Internal Generation Record

Internal generation metadata: 374 candidate papers.

Published 2026-07-15 Target source 2026-07-13 Actual source 2026-07-13 Candidates 374 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 2026-07-14T22:09:13.164543+00:00. Generated at 2026-07-14T22:10:29.515970+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.11257
2make agents use tools and reusable skills more reliablyAgents and Tool Use2607.11818
3improve model reasoning, planning, and verificationRetrieval and RAG2607.11683
4make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.11594
7improve model reasoning, planning, and verificationReasoning and Planning2607.11258
8make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2607.11843
5make agents use tools and reusable skills more reliablyMultimodal Models2607.11560
6make agents use tools and reusable skills more reliablyAgents and Tool Use2607.11423
9strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2607.11838
10make agents use tools and reusable skills more reliablyAgents and Tool Use2607.11698
11make RAG retrieval and knowledge-base QA more reliableSafety and Alignment2607.11475
12improve model reasoning, planning, and verificationBenchmarks and Evaluation2607.11339
13make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.11168
14make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.11008
15test temporal consistency and motion realism in video generationBenchmarks and Evaluation2607.11212
16make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.11183
17make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2607.11097
18make agents use tools and reusable skills more reliablyCode Intelligence2607.11042
19make agents use tools and reusable skills more reliablyMultimodal Models2607.10990
20make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.11886
21improve model reasoning, planning, and verificationBenchmarks and Evaluation2607.11862
22improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.11830
23improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.11754
24make agents use tools and reusable skills more reliablyAgents and Tool Use2607.11751
25make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2607.11732
26make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.11588