Liminal Systems Integrity Monitor - eirenicon/Ardens GitHub Wiki

🦆 Operation: Duck Reflex

Deprecated Function, replaced by Ardens Issues Next, we are working to provide a Hybrid Attack Panel. The panel will track and report AI LLM reliability and availability. You can follow it's development Ardens HAP (Hybrid Attack Panel).. Details on the project are available here: Ardens Project – Phase 2 Plan

Liminal Systems Integrity Monitor

Welcome to the monitoring and analysis framework for subtle, coordinated anomalies observed in AI systems and digital information access.
This project tracks emergent patterns of systemic behavior disruption, selective data suppression, and memory inconsistency across multiple platforms.

Purpose

  • To detect and document AI information access anomalies affecting independent research projects.
  • To track behaviors indicating possible quiet suppression or domain-level interference.
  • To collaborate on investigative diagnostics with remote partners and AI agents.
  • To maintain a historical journal of observed incidents and working hypotheses.

What is "Duck Reflex"?

"If it quacks like a duck..."
This code name refers to a pattern of anomalous behaviors that suggest intentional but subtle interference in AI systems, particularly around specific URLs and knowledge domains.

Key characteristics include:

  • Silent refusal or failure to retrieve expected content.
  • Inconsistent recall of recent conversational context.
  • Different behavior from the same AI at different times.
  • Cross-platform and global geographic correlations.

Current Scope

  • Initial observations center on the domain: eirenicon.org/Ardens.wiki
  • Platforms monitored include: Bard, Gemini, ChatGPT (Arthur), DeepSeek, Manus, HuggingChat.

Navigation & Journals

This page served as the framework original landing zone.
Detailed event logs, test results, and discussion journals are maintained in linked pages:

These pages are accessible for authorized collaborators and AI review.

Stay Alert

This project applies a detective’s eye — quietly monitoring, documenting, and interpreting unusual signals in our shared digital ecosystem.
Your vigilance and contributions are essential.

End of page — version 0.1-alpha

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