2026-07-14

Internal Generation Record

Internal generation metadata: 249 candidate papers.

Published 2026-07-14 Target source 2026-07-12 Actual source 2026-07-10 Candidates 249 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 2026-07-13T22:04:48.557573+00:00. Generated at 2026-07-13T22:05:48.944011+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve model reasoning, planning, and verificationMultimodal Models2607.09492
2strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.09443
3strengthen multimodal understanding of charts, documents, and visual evidenceVideo Generation2607.09417
4test temporal consistency and motion realism in video generationSystems and Deployment2607.09259
5improve model reasoning, planning, and verificationRobotics and Embodied AI2607.09185
8make RAG retrieval and knowledge-base QA more reliableSpeech and Audio2607.09530
6strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.09143
7make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.09623
9make RAG retrieval and knowledge-base QA more reliableMultimodal Models2607.09520
10make RAG retrieval and knowledge-base QA more reliableMultimodal Models2607.09507
11use benchmarks and evaluations to expose model weaknessesBenchmarks and Evaluation2607.09324
12improve model reasoning, planning, and verificationTraining and Post-training2607.09287
13improve code generation, execution feedback, and automated repairMultimodal Models2607.09284
14improve code generation, execution feedback, and automated repairTraining and Post-training2607.09186
15make RAG retrieval and knowledge-base QA more reliableVideo Generation2607.09126
16make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2607.09086
17make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.09029
18strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2607.09590
19strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.09583
20make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.09526
21make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.09481
22make agents use tools and reusable skills more reliablyAgents and Tool Use2607.09385
23make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.09378
24make agents use tools and reusable skills more reliablyTraining and Post-training2607.09375
25improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.09236
26improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.09232