[FOUNDATION] CRAIGS: Definition and Scope
CRAIGS is a framework for record integrity, provenance, and why reconstruction fails under scrutiny.
It exists to explain why records degrade across systems, why reconstruction fails under scrutiny, and how verifiable, defensible records must be preserved.
The Problem
Most modern systems do not preserve records as canonical state.
They reconstruct them.
Across environments—databases, applications, integrations, backups—records are:
copied
transformed
reassembled
synchronized imperfectly
Over time, this produces:
divergence
inconsistency
loss of lineage
preserved original state
What appears complete is often:
irrecoverably altered from its original state
When subjected to:
audits
litigation
incident review
these reconstructed records fail under scrutiny.
Core Concepts
Record Drift
Records diverge across systems over time.
Even when synchronized, they no longer represent a single consistent state.
Broken Provenance
The chain of custody cannot be proven.
Origins, transformations, and transitions are incomplete or unverifiable.
Reconstruction Failure
Post-incident rebuilding cannot recreate the original state.
Reconstructed records reflect assumptions—not reality.
Defensible Records
Records that maintain:
continuity
traceability
verifiable lineage
across time and systems.
These can withstand scrutiny.
What CRAIGS Does
CRAIGS defines:
how records degrade
where systems introduce drift
why reconstruction produces false certainty
It establishes models for:
preserving provenance
maintaining continuity
creating audit-ready, defensible records
CRAIGS does not interpret records or derive conclusions from them.
Where This Applies
CRAIGS applies wherever record integrity matters:
Healthcare systems
Legal proceedings
Incident response
Enterprise infrastructure
Any environment requiring verifiable truth
How to Read This
This publication is not a collection of articles.
It is a structured, append-only system of definitions and constraints.
Posts serve as:
definitions of core concepts
analyses of real-world conditions
extensions of the framework
Each piece contributes to a larger model.
Canonical Source
All foundational material for CRAIGS is defined here:
This is the canonical reference point for:
definitions
models
system evolution
CRAIGS does not describe what systems report.
It defines what can be proven.