Project2Task Turns Research Briefs into Executable Plans
See how graph-based task contracts improve autonomous research planning and downstream task accuracy.
30-Second TL;DR
What Changed
Represents candidate contributions as innovation atoms organized in a directed lineage graph.
Why It Matters
Project2Task addresses a key bottleneck in autonomous research: coordinating many related tasks without redundancy or missing dependencies. Its executor-independent contracts could make multi-agent research pipelines easier to orchestrate, evaluate, and integrate into a coherent final result.
What To Do Next
Prototype a Project2Task-style contract schema in your research agent, including explicit artifacts, evaluation criteria, boundaries, and dependency order, then benchmark it against flat task lists.
Key Points
- •Represents candidate contributions as innovation atoms organized in a directed lineage graph.
- •Uses a Bernoulli block-model objective to select horizontal, vertical, or hybrid project decompositions.
- •Generates task contracts covering objectives, inputs, artifacts, evaluation requirements, constraints, dependencies, and execution order.
- •Improved manuscript-based portfolio quality to 7.15 versus 4.58 for the brief baseline and 5.31 for topic-only planning.
- •Integration with AutoResearchClaw increased average downstream task accuracy from 0.536 to 0.759.
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