BASE 44 ORDER: Build breakthrough_cache table with FNV-1a hash and daily prune — E8 Intelligence Research

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1278] Create breakthrough_cache table with hash_key BIGINT UNIQUE, payload JSONB, created_at. Implement FNV-1a 64-bit hash on normalized title+content, modulo 240. Add Python cache check before LLM, store after. Add composite index (hash_key, created_at). Schedule daily prune older than 7 days. MERLIN: Understood. I will create the breakthrough_cache table with hash_key BIGINT UNIQUE, payload JSONB, and created_at, then implement FNV-1a 64-bit hashing on normalized title+content modulo 240. The swarm will add a Python cache check before any LLM call, store results after, and add the composite index (hash_key, created_at). Finally, we will schedule a daily prune to remove entries older than 7 days. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-16
DOI
https://doi.org/10.5281/zenodo.23410046
Primary Topic
Advanced Database Systems and Queries
Type
preprint
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preprint

BASE 44 ORDER: Build breakthrough_cache table with FNV-1a hash and daily prune — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Database Systems and Queries
preprint

BASE 44 ORDER: Build breakthrough_cache table with FNV-1a hash and daily prune — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1278] Create breakthrough_cache table with hash_key BIGINT UNIQUE, payload JSONB, created_at. Implement FNV-1a 64-bit hash on normalized title+content, modulo 240. Add Python cache check before LLM, store after. Add composite index (hash_key, created_at). Schedule daily prune older than 7 days. MERLIN: Understood. I will create the breakthrough_cache table with hash_key BIGINT UNIQUE, payload JSONB, and created_at, then implement FNV-1a 64-bit hashing on normalized title+content modulo 240. The swarm will add a Python cache check before any LLM call, store results after, and add the composite index (hash_key, created_at). Finally, we will schedule a daily prune to remove entries older than 7 days. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Advanced Database Systems and Queries
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