arXiv (OAI Expanded)
open access
Representation Transitions Reveal Predictive Structure in Complex Systems: A Trajectory-Level Reconstruction in a Critical System
Trajectories in complex systems often contain structure that is not captured by the population-averaged, scalar statistics traditionally used to describe them. Here we reconstruct, through independent numerical re-simulation rather than literature review, a systematic search across representational
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Representation Transitions Reveal Predictive Structure in Complex Systems: A Trajectory-Level Reconstruction in a Critical System#798406
- Persistent Internal Standpoints in Artificial Systems: Machine Understanding as Standpoint-Organized World Modeling#248561
- From trends to optimized forecasts: Quantifying the skill and advancing the utility of dynamics-based early warnings for tipping events#1156948
- Conformal Prediction Regions for Continuous-Time Trajectories under Random Sampling#798203
- Conformal Prediction Regions for Continuous-Time Trajectories under Random Sampling#796790
Record · ID 796993
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive