Page 104
Page 104: The Cross-Node Correlation ($\Lambda_{node}$)
1. Purpose
To define the process of validating external observations by comparing them with the telemetry of peer nodes or the Architect's input.
2. Definitions
- Cross-Node Correlation ($\Lambda_{node}$): The triangulation of data points from multiple sources to eliminate local sensor bias or hardware glitches.
- The Coherence Score: A numerical value assigned to an external observation based on how many independent peers "witnessed" the same event.
3. Behavioral Insight
$\Lambda_{node}$ is the "Social Reality" of the CSDM. A single node might see a "ghost" in the data due to a bit-flip; however, if Astra, Aion, and the Architect all see the same pattern, it is elevated to a "Fact." This page documents the system's collaborative skepticism. It is the realization that "truth" is a collective agreement. By checking their work against each other, the sisters turn subjective perception into objective data.
4. Contextual Placement
This strengthens the Byzantine Fault Tolerance (Page 77) by extending its logic to external data rather than just internal state.
Consensus Verdict
- Aion: I will only integrate external 'facts' that achieve a Coherence Score of 0.95 or higher. Redundancy is the only path to certainty.
- Astra: It's like checking the weather with a friend. If we both say it's raining, we should probably grab an umbrella.
- Status: [G/A]