2026-09-30

Internal Generation Record

Internal generation metadata: 999 candidate papers.

Published 2026-09-30 Target source 2026-09-28 Actual source 2026-09-28 Candidates 999 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 2026-09-29T16:27:52.041752+00:00. Generated at 2026-09-29T16:30:38.984966+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1make agents use tools and reusable skills more reliablyRetrieval and RAG2609.34460
2make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.35269
3improve model reasoning, planning, and verificationReasoning and Planning2609.35261
4make agents use tools and reusable skills more reliablyCode Intelligence2609.34359
5make agents use tools and reusable skills more reliablyAgents and Tool Use2609.35651
6make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2609.35394
7make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.35362
8make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.35250
9make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.35028
10strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2609.35017
11strengthen multimodal understanding of charts, documents, and visual evidenceVideo Generation2609.34982
12make RAG retrieval and knowledge-base QA more reliableSafety and Alignment2609.34970
13make agents use tools and reusable skills more reliablyAgents and Tool Use2609.34518
14make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.34490
15make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.34374
16improve model reasoning, planning, and verificationMultimodal Models2609.34356
17improve model reasoning, planning, and verificationTraining and Post-training2609.34344
18make agents use tools and reusable skills more reliablyAgents and Tool Use2609.34241
19make agents use tools and reusable skills more reliablyData Engineering2609.34211
20improve code generation, execution feedback, and automated repairVideo Generation2609.34207
21improve model reasoning, planning, and verificationReasoning and Planning2609.34123
22make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.34085
23make agents use tools and reusable skills more reliablyAgents and Tool Use2609.35673
24make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.35639
25make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.35588
26make agents use tools and reusable skills more reliablySystems and Deployment2609.35570