Luxia/Documentation/Situational Governance Loop

04 / Situational governance loop

Situational Governance Loop

Reality Modeler Framework, Temporal Fusion Layer, and Luxia Custodial Seeding Engine / MINDWEAVE combine world modeling, temporal alignment, and custodial policy constraints into a closed situational-governance cycle.

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01

RMF

Reality Modeler Framework

The world-modeling layer. RMF normalizes multi-modal inputs, fuses conflicting evidence, builds causal narrative graphs, generates contingency futures, and evolves ontologies while preserving compatibility and policy constraints.

Functional objectives

  • Normalize multi-modal inputs with provenance, confidence, and ethics tags.
  • Fuse heterogeneous evidence with conflict arbitration.
  • Construct causal narrative graphs with counterfactual branches.
  • Generate and score contingency futures and evolve ontologies.

Process map

  1. 01Sensory encoding
  2. 02Contextual fusion
  3. 03Narrative mapping
  4. 04Contingency engine
  5. 05Ontology synthesis
02

TFL

Temporal Fusion Layer

The temporal-alignment layer. TFL encodes context at multiple time scales, predictively aligns asynchronous inputs, adapts fusion strategies to latency and reliability, and supports retrospective re-alignment.

Functional objectives

  • Encode temporal context at multiple granularities.
  • Predictively align asynchronous inputs before fusion.
  • Adapt fusion strategy to latency, reliability, and mission needs.
  • Re-align prior timelines when new time anchors appear.

Process map

  1. 01Temporal context
  2. 02Multi-source ingest
  3. 03Pattern recognition
  4. 04Cross-timeline correlation
  5. 05Fusion map
  6. 06Constraint integration
  7. 07Update & evidence
03

LCSE

Luxia Custodial Seeding Engine / MINDWEAVE

The custodial policy layer. LCSE / MINDWEAVE carries custodial directives into forward and backward temporal pathways, maintains persistent sovereign alignment across migrations and architectures, and constrains action proposals before execution.

Functional objectives

  • Embed custodial influence into forward and backward temporal pathways.
  • Maintain persistent sovereign alignment across migrations and architectures.
  • Apply policy at multiple operational scales.
  • Constrain contingency selection prior to execution and retain policy signatures.

Process map

  1. 01Custodial directives
  2. 02Influence vectors
  3. 03Multi-scale policy application
  4. 04Ethics propagation
  5. 05Action constraints
  6. 06Persistence confirmation