Temporal Context, Replay & Integrity

Once ambiguity exists, replay becomes mandatory
Sonar Reality
  • Contacts are often understood retrospectively
  • Environment and mission context accumulates
  • Interpretations evolve as assumptions change
  • Discarded raw data is lost insight
Where I’ve Lived This
  • Reprocessing assets years later
  • Mass relabeling after upstream errors
  • Cold storage becoming active knowledge
  • Systems judged by replayability, not output
The Only Stable Shape
  • Separate capture from interpretation
  • Preserve raw data as primary evidence
  • Allow labels to change safely
  • Treat time as part of the signal
Replay & Regression
  • Every trial is an immutable artifact
  • DSP and detection pipelines are versioned
  • Old data can be replayed through new logic
  • Performance changes become explainable
How I Implement This
  • FrameSessions as durable context containers
  • Externalized, versioned configuration
  • Deterministic replay across pipeline changes
  • Regression treated as a first-class operation
Once interpretation changes over time, systems are judged by their ability to revisit the past — not by how confident they sounded in the moment.