Published January 23, 2026
| Version v1.0.0
Software
Open
ITT-PoC: Empirical Validation Suite for Informational Tension Theory
Description
ITT-PoC v1.0.0
Empirical validation suite for Informational Tension Theory (ITT).
This release validates key theorems across two domains: Software (GitHub/Marak incident) and Ecology (Dryad plant-pollinator network). The central finding is the "Sniper Effect"—detecting low-degree actors through entropic signatures when traditional centrality measures fail.
Highlights:
- Cross-domain validation (Theorem 5.3)
- Robust estimation using MAD and JSD metrics
- Publication-ready figure generation
See README.md for usage instructions.
Files
MatheusGrego/itt-poc-v1.0.0.zip
Files
(1.5 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/MatheusGrego/itt-poc/tree/v1.0.0 (URL)
Dates
- Issued
-
2026-01-23
- Created
-
2025-12-01
Software
- Repository URL
- https://github.com/MatheusGrego/itt-poc
- Programming language
- Go
References
- Grego, M. (2025). Informational Tension Theory: A Framework for Entropic Detection of Latent Structures (1.0). Zenodo. https://doi.org/10.5281/zenodo.18001318
- GitHub Archive. (2022). Public GitHub Timeline. https://www.gharchive.org/
- Burkle, L.A., Marlin, J.C., & Knight, T.M. (2013). Plant-Pollinator Interactions over 120 Years. Science, 339(6127), 1611-1615. https://doi.org/10.1126/science.1232728