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Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks

“At each step, the system actively generates new concepts and relationships, merges them into a global graph, and formulates subsequent prompts based on its evolving structure. Through this feedback-driven loop, the model organizes information into a scale-free network characterized by hub formation, stable modularity, and bridging nodes that link disparate knowledge clusters. Over hundreds of iterations, new nodes and edges continue to appear without saturating, while centrality measures and shortest path distributions evolve to yield increasingly distributed connectivity.”
https://arxiv.org/abs/2502.13025

A Deep Research product that returns knowledge graphs.

A Deep Research product that returns knowledge graphs.
https://warpcast.com/msms/0xcf0f7612

in motion | founder, researcher, scout, storyteller | into computing, communication, complex systems | building subset.network | all the things: msweet.net

then ossifies into systems mapping on location

deeper transient productions that spreads like mold

Only if the resulting output is enshrined or treated as a canonical artefact?

My read is that most uses of deep research outputs are transient productions that are quickly abandoned or built atop of.