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Research

Researching persistence without simplifying identity.

Every program is organized around measurable states, explicit uncertainty, reproducible validation, and traceable provenance.

Research Program

Autobiographical Cluster Mapping

Code
MA-07
Status
Active
Area
Memory Architecture
Lead
Memory Systems

MA-07 maps autobiographical memory as a network of interdependent episodes, semantic anchors, affective associations, and temporal relationships.

Research Program

Adversarial Self-Model Validation

Code
IP-14
Status
Experimental
Area
Identity Persistence
Lead
Validation Security

IP-14 tests whether a reconstructed model can maintain a coherent self-model under deliberate contradiction, misleading prompts, conflicting autobiographical cues, and identity substitution attempts.

Research Program

Long-Duration Cognitive Drift

Code
IP-09
Status
Active
Area
Identity Persistence
Lead
Cognitive Integrity

IP-09 studies divergence in reconstructed cognitive states over extended durations.

Research Program

Identity Continuity Index

Code
IP-04
Status
Active
Area
Identity Persistence
Lead
Validation Science

IP-04 develops the Identity Continuity Index, a composite engineering metric for evaluating persistence across multiple dimensions of cognitive identity.

Research Program

Sparse Acquisition Recovery

Code
NSR-26
Status
Experimental
Area
Neural State Reconstruction
Lead
Inference Systems

Sparse Acquisition Recovery investigates whether missing or low-confidence acquisition channels can be reconstructed from correlated measurements without overstating certainty.

Research Program

Longitudinal State Comparison

Code
NSR-21
Status
Active
Area
Neural State Reconstruction
Lead
Longitudinal Modeling

Longitudinal State Comparison examines how validated cognitive states change across repeated sessions separated by hours, months, or years.

Research Program

Dynamic Reconstruction

Code
NSR-17
Status
Active
Area
Neural State Reconstruction
Lead
Computational Neuroscience

Dynamic Reconstruction studies how a time-dependent cognitive state can be inferred from incomplete multimodal measurements. The program separates structural constraints from transient activity and estimates the state trajectories most consistent with observed neural, behavioral, linguistic, and affective signals.