Problem

The linear publication model of "adding a new article" is poorly suited for a large information contour. New knowledge can clarify, supplement, or invalidate materials across multiple websites simultaneously.

With hundreds of materials, a person cannot remember all semantic dependencies. An agent should not have to reread the entire cluster from scratch every time either.

What Needs to Be Researched

We need a way to find potentially affected parts of the overall information space based on a new statement, concept, or modified material.

The search results may cover various scenarios: the material should be updated, linked to the new knowledge, checked for contradictions, left as a historical state, or not changed at all. The task does not imply automatic rewriting of everything found.

Explicit relationships, semantic search, and other mechanisms are possible, but the specific technique has not yet been chosen. It is important first to determine the types of useful relationships and the criteria by which the agent understands that a material requires attention.

This task relies on the central node and local maps and serves as the informational component of the general management contour.