Each research area advances along its own trajectory. DeepCausality is the most mature: a published axiomatic foundation, a working implementation, and a growing catalog of cross-domain examples. Counterfactual Fluid Dynamics is released and ships its own verification suite; its open questions are turbulence and tensor-train rank. Unified math is ongoing; each branch of mathematics added to its crates tests how far the composition reaches. Deep Brain is in the architectural-design stage and will move to implementation once the foundational layers are stable.
Chronodynamics has finished. Its result and its data are recorded under past research.
DeepCausality
- Submission of the EPP monograph to a refereed open-access venue, following community feedback on the current preprint.
- Continued expansion of the cross-domain example catalog, with new pipelines in chronometric geodesy, materials science, and relativistic physics.
- Expansion of the causal-discovery pipeline (SURD and MRMR) on open scientific datasets, end-to-end from data to executable Causaloid.
Counterfactual Fluid Dynamics
- A grid-convergence study of the cylinder wake across three resolutions. No accuracy claim above the currently checked envelope can be made without it.
- Turbulence closures on the discrete-exterior-calculus solver, once the spectra observables land. The wake is reported today, and it is never gated.
- Rank behavior of a plume-resolved retropulsion system on quantized tensor trains. This is unmeasured, and it is carried as open research, not as scheduled work.
- Restoring the full precision ladder on the reentry case, so that its round-off budget can be rerun on demand instead of quoted from an earlier build.
Deep Brain
- Completion of the foundation layer: schema, embedding pipeline, named-entity recognition, and rule-based classification.
- Implementation of the three coordinated hypergraphs (content, context, and the relations between them) with coordinated freeze/unfreeze cycles.
- Publication of the Knowledge Propagation Process as the foundational paper of dynamic knowledge.