AutoResearch: An Execution-Grounded Multi-Agent Framework for Reliable Research Workflow Automation
arXiv 2607.02520•596a7f2b2e87b1a222bd2fc47173de018b42a0922d23f0d63fb6f9c8a14bf198
ai-governanceai-safetycooperative-logisticscybercrimedark-web-groomingdatacenter-water-usagedigital-public-goodseducationfrontier-aiin-game-fraudknowledge-componentsllm-evaluationmoral-sensitivityphishingprogramming-educationreproducibilityresearch-automationrouting-algorithmsextortionsustainability
Paper metadata
- arXiv ID
- 2607.02520
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 596a7f2b2e87b1a222bd2fc47173de018b42a0922d23f0d63fb6f9c8a14bf198
- Enrichment time
- 2026-07-07T07:23:54Z
- AI-assisted enrichment
- Yes
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