2026-09-19

Internal Generation Record

Internal generation metadata: 468 candidate papers.

Published 2026-09-19 Target source 2026-09-17 Actual source 2026-09-17 Candidates 468 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 2026-09-18T23:14:31.838922+00:00. Generated at 2026-09-18T23:16:07.901837+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1make agents use tools and reusable skills more reliablyAgents and Tool Use2609.19587
2improve code generation, execution feedback, and automated repairMultimodal Models2609.20463
3make agents use tools and reusable skills more reliablyCode Intelligence2609.20614
4make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.19524
5make RAG retrieval and knowledge-base QA more reliableRobotics and Embodied AI2609.19512
7improve image generation, visual understanding, and controllable renderingVideo Generation2609.20744
6strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2609.20779
8make agents use tools and reusable skills more reliablyRobotics and Embodied AI2609.20586
9identify and reduce safety, jailbreak, and alignment risksBenchmarks and Evaluation2609.20584
10improve model reasoning, planning, and verificationRobotics and Embodied AI2609.20475
11improve model reasoning, planning, and verificationMultimodal Models2609.19555
12make agents use tools and reusable skills more reliablyAgents and Tool Use2609.20822
13make agents use tools and reusable skills more reliablyAgents and Tool Use2609.20754
14make agents use tools and reusable skills more reliablyTraining and Post-training2609.20747
15improve code generation, execution feedback, and automated repairData Engineering2609.20680
16make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.20615
17strengthen multimodal understanding of charts, documents, and visual evidenceData Engineering2609.20325
18identify and reduce safety, jailbreak, and alignment risksData Engineering2609.19866
19make agents use tools and reusable skills more reliablyTraining and Post-training2609.19666
20make agents use tools and reusable skills more reliablySystems and Deployment2609.19657
21make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.19644
22make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.20794
23improve image generation, visual understanding, and controllable renderingTraining and Post-training2609.20756
24make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.20700
25make agents use tools and reusable skills more reliablyRetrieval and RAG2609.20677
26make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.20630