Cognitive Security · Paper · 2026

Active FractalRabbit: A Synthetic Benchmark for Belief Filtering Under Sparse Waypoint Observations

Daniel Ari Friedman

Zenodo

Catalog Row195
Citation KeyFriedman2026ActiveFractalRabbitSyntheticBenchmark195
Paper FolderAvailable

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.

Findings / Concepts
  • See full paper for detailed findings and analysis
Methods / Techniques
  • Literature review
  • Theoretical analysis

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.

Primary source Documentation Source repository BibTeX

Related in Cognitive Security

Other catalogued works in the same domain.

View all Cognitive Security works, software & media →