2026-07-03

Internal Generation Record

Internal generation metadata: 393 candidate papers.

Published 2026-07-03 Target source 2026-07-01 Actual source 2026-07-01 Candidates 393 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 2026-07-02T22:16:31.159791+00:00. Generated at 2026-07-02T22:17:46.544920+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve code generation, execution feedback, and automated repairSystems and Deployment2607.00501
2improve code generation, execution feedback, and automated repairSafety and Alignment2607.00402
3make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.01211
4make agents use tools and reusable skills more reliablyAgents and Tool Use2607.00776
5make agents use tools and reusable skills more reliablyCode Intelligence2607.00555
6make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2607.01147
7make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.01022
8make agents use tools and reusable skills more reliablyTraining and Post-training2607.00926
9make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.00798
10track a high-signal reasoning and planning paperReasoning and Planning2607.00738
11test temporal consistency and motion realism in video generationBenchmarks and Evaluation2607.00512
12improve code generation, execution feedback, and automated repairTraining and Post-training2607.00486
13make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.00481
14make agents use tools and reusable skills more reliablyVideo Generation2607.00442
15make RAG retrieval and knowledge-base QA more reliableVideo Generation2607.00375
16make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2607.00362
17make agents use tools and reusable skills more reliablyAgents and Tool Use2607.00334
18make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.01131
19make agents use tools and reusable skills more reliablyAgents and Tool Use2607.01071
20strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2607.01033
21make agents use tools and reusable skills more reliablyRetrieval and RAG2607.00970
22improve code generation, execution feedback, and automated repairTraining and Post-training2607.00860
23strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2607.00666
24improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.00580
25improve code generation, execution feedback, and automated repairSafety and Alignment2607.00572
26improve code generation, execution feedback, and automated repairTraining and Post-training2607.00409