Agentic Research Directory

Tutorial / template 2026

AI for Auto-Research: four-phase research lifecycle roadmap

A conceptual roadmap organising AI-assisted research into Creation, Writing, Validation and Dissemination, with an emphasis on human-governed collaboration rather than unchecked autonomy.

Workflow level n/a Source: Preprint (not peer-reviewed) Outcome: Not empirically evaluated here

Research applicability

Helps researchers organise where assistance fits in a research lifecycle while retaining responsibility for novelty, evidence and scientific judgement.

Getting started

Editorial, untested: read the roadmap and author-linked project resources, then create a phase-by-phase plan with human review checkpoints. The plan is not an executed recipe.

Maintenance

Source accessed 2026-10-17; runtime compatibility and maintenance not evaluated.

License

Article, repository and data permissions must be checked separately before reuse. No blanket open-licence claim.

Workflow & human oversight

Resource-level automation unspecified; researchers select the task, assess data rights and inspect outputs. Source review is not an executed workflow.

Workflow level is not an evidence score; higher is not better evidence.

Approach

The abstract assigns idea generation, literature review, coding, experiments and figures to Creation; manuscript writing to Writing; peer review and revision to Validation; and presentation and outreach formats to Dissemination. This listing is limited to that explicit lifecycle map.

Limitations

Abstract-only arXiv v2 review. The project site, tool inventory, benchmark suite and detailed playbook were not inspected. The abstract's cost, acceptance and model-reliability comparisons are not adopted as independently verified conclusions; no quantitative performance outcome is claimed.

Reproducibility

Fresh primary abstract reading only; no software execution, data audit or experiment reproduced.

Adoption requirements

Editorial, untested: map a real project onto the four phases, assign researcher oversight, and separately assess model access, data confidentiality, licensing and validation requirements. No specific tool is endorsed.

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