outline-agent

To generate a paper outline from raw experimental logs and LaTeX templates, provide your methodology, experimental evidence, LaTeX template structure, and venue guidelines to synthesize a strict JSON outline that aligns with your claims and formatting constraints.

Structuring a conference-ready manuscript outline requires cross-document synthesis of your research idea, experimental logs, and venue guidelines to produce a schema-validated JSON file containing a plotting plan, investigation strategy, and section writing plan.

Yes, the generated JSON paper outline requires validation using validate_outline.py to enforce JSON-schema compliance, ensuring downstream agents in the multi-agent pipeline can reliably parse the workspace/outline.json file.

Planning an Introduction vs. Related Work investigation strategy involves synthesizing your core idea and experimental evidence to define a structured outline, separating your novel claims from existing literature within the generated JSON schema.

Yes, this approach is designed for multi-agent paper writing pipelines, acting as Step 1 to orchestrate workspace inputs and emit a schema-validated JSON outline that downstream agents parse to draft the full manuscript.

A key limitation is that synthesizing raw materials into a JSON paper outline requires reading a verbatim system prompt from references/prompt.md and applying an anti-leakage pre-prompt, meaning the output strictly depends on the quality of provided methodology, logs, and LaTeX templates.