Overview
Extracted from the local paper documentation when available.
Sparse waypoint analysis is privacy-sensitive: it must separate movement from irregular reporting, missingness, spatial coarsening, and corruption while preserving uncertainty about hidden location. Active FractalRabbit provides a controlled, artifact-bound benchmark whose headline lane uses a deterministic project-local synthetic FractalRabbit-format fixture; a separately retained lane exercises...
ActiveFractalRabbit
Use Notes
Concise findings and methods pulled from README/SKILL documentation.
Citation
Plain-text citation for quick reuse.
Friedman, Daniel Ari. 2026. Active FractalRabbit: A Synthetic Benchmark for Belief Filtering Under Sparse Waypoint Observations. Zenodo. DOI: 10.5281/zenodo.21330636. URL: https://doi.org/10.5281/zenodo.21330636.
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