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Cleaning and Reconstruction

Status Draft briefPart Data and Empirical Work

Cleaning is the preservation of known semantics while handling loss, duplicates, disorder, corrections, session transitions, and invalid records—not making inconvenient observations disappear.

Central questions

  • Which invariant detects a corrupt or incomplete state?
  • Can a gap be repaired, or must the interval be excluded?
  • How are transformations logged and reproduced?

Planned model

Reconstruct a book from a damaged event stream and compare repair, resynchronization, quarantine, and silent-forward-fill policies.