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klik-temporal-memory-2026
KLIK Temporal, Entity-Aware, Privacy-Constrained Memory
Architecture, evidence-readiness audit, and bounded superiority criteria
0.1.0-public
2026-08-21T00:00:00
en
design-proposal-preregistration-and-evidence-audit
The proposed temporal reconciliation architecture has not yet been empirically validated. The paper specifies the registered experiment and gates required for a bounded claim.
[ "agent memory", "temporal knowledge", "entity-aware retrieval", "privacy-preserving deletion", "evaluation protocol" ]
{ "manuscript_markdown": "paper/klik-temporal-memory-evaluation-paper.public.en.md", "manuscript_pdf": "paper/klik-temporal-memory-evaluation-paper.public.pdf", "citation": "CITATION.cff" }

KLIK Temporal Memory Paper

This dataset is the public research record for KLIK Temporal, Entity-Aware, Privacy-Constrained Memory. It packages the public-edition manuscript, a citation record, and a machine-readable publication entry.

What this release is

  • A scoped architecture proposal for temporal, entity-aware, privacy-constrained agent memory.
  • A preregistered protocol for comparing the proposed system with registered controls and memory baselines.
  • An evidence-readiness audit that keeps historical retrieval observations separate from unmeasured target-architecture results.

What this release is not

  • Not a claim that the proposed architecture has already beaten all memory systems.
  • Not a release of private product data, customer data, source checkouts, private repository paths, or internal commit identifiers.
  • Not an empirical benchmark dataset or a substitute for the frozen-run artifacts required by the paper.

Files

Path Description
klik-temporal-memory-evaluation-paper.public.en.md Public-edition manuscript source.
klik-temporal-memory-evaluation-paper.public.en.pdf Public-edition rendered paper.
paper.jsonl Machine-readable publication metadata.
CITATION.cff Citation metadata.

Claim boundary

The paper defines a bounded superiority criterion: any future claim must be limited to registered datasets, comparator versions, runtime conditions, and preregistered statistical and safety gates. It deliberately does not invent an unobserved result.

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