This paper studies the theoretical foundations and system architecture of Quarks, with emphasis on multi-agent orchestration for long-horizon research tasks. The core idea is to mo…
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Decision-makers in engineering, policy, economics, and operations often face trade-offs among conflicting objectives, yet method selection remains fragmented across disciplines. Th…
This project investigates whether real-world lottery draws deviate from ideal uniform randomness due to physical implementation effects such as ball weight, wear, machine mechanics…
Long-horizon research automation needs stronger semantics than prompt chaining or schema-only artifact passing. We study a restricted contract-governed formulation of Quarks in whi…
Long-horizon autonomous research systems now execute multi-stage workflows with planner, tool, and reviewer modules, yet most guarantees remain local or empirical. We formalize a c…
Long-horizon autonomous research pipelines require stronger guarantees than prompt-level coordination alone. We study a contract-governed orchestration framework in which research…
Multi-objective decision support now spans classical scalarization, Pareto-evolutionary search, outranking-based multicriteria ranking, and uncertainty-aware formulations, but prac…
Multi-objective decision support is fragmented by a representation mismatch: Pareto-set methods, outranking relations, and scalarization-based methods emit different mathematical o…