Memory Is Not the Lens

Persistent AI systems need both durable truth and selective context. These requirements are often collapsed into one “memory” subsystem: a vector store, a graph, a spatial map, a long transcript, or a model-managed summary. The collapse is dangerous. The mechanism that decides what is canonical should not be the same mechanism that decides what is nearby, visible, or currently worth loading.

This paper defines the LCSM–FOVEA dual-plane architecture. LCSM is the authority-bearing plane for canonical state, versions, provenance, receipts, disputes, and reconstruction. FOVEA is the disposable optical plane for address, locality, projection, navigation, landmarks, and foveated working sets. An object may be placed, summarized, highlighted, or omitted by the lens without changing what the truth plane recognizes. The entire optical plane can be deleted and reconstructed from the ledger.

The specific contribution is not event sourcing, quadtrees, or foveated retrieval in isolation. It is their disciplined composition around one asymmetry: the lens depends on memory; memory never depends on the lens. This gives AI systems spatial and attention-scaled interfaces without allowing a projection to become a hidden second authority.

Current evidence state

SPECIFIED

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Publication

Full paper: /papers/p04-memory-is-not-the-lens
Claim ledger: content/papers/p04-memory-is-not-the-lens/claim-ledger.json
Source manifest: content/papers/p04-memory-is-not-the-lens/source-manifest.json
Diagrams: 4
Approximate body length: 2,143 words

Demonstrations

d01-truth-plane-lens-plane
d02-fovea-address-atlas

Benchmarks

b01-fovea-correctness-cognition
b05-surfacedelta-uplift

Public boundary

The research entry publishes a public-safe architecture and evidence record. It does not grant implementation rights or expose restricted claim-ready material.