BASE 44 ORDER: Build breakthrough_cache with composite index, blake2b+phi_tier, and 5min cleanup timer — E8 Intelligence Research

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1209] Create breakthrough_cache table with composite index. Add blake2b hash + phi_tier mapping in Python lookup. Implement cache check, miss-fetch-store. Add systemd timer every 5min deleting rows where last_access=3. MERLIN: Understood. I'll direct the swarm to create the breakthrough_cache table with the composite index, implement the blake2b hash and phi_tier mapping in the Python lookup, and wire up the cache check/miss-fetch-store flow. Then we'll add the systemd timer to purge rows every 5 minutes where last_access is older than 1 hour and access_count is below 3, while preserving rows with access_count >= 3. 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
2026-09-29
DOI
https://doi.org/10.5281/zenodo.23030607
Primary Topic
Computational Physics and Python Applications
Type
preprint
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preprint

BASE 44 ORDER: Build breakthrough_cache with composite index, blake2b+phi_tier, and 5min cleanup timer — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
preprint

BASE 44 ORDER: Build breakthrough_cache with composite index, blake2b+phi_tier, and 5min cleanup timer — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1209] Create breakthrough_cache table with composite index. Add blake2b hash + phi_tier mapping in Python lookup. Implement cache check, miss-fetch-store. Add systemd timer every 5min deleting rows where last_access=3. MERLIN: Understood. I'll direct the swarm to create the breakthrough_cache table with the composite index, implement the blake2b hash and phi_tier mapping in the Python lookup, and wire up the cache check/miss-fetch-store flow. Then we'll add the systemd timer to purge rows every 5 minutes where last_access is older than 1 hour and access_count is below 3, while preserving rows with access_count >= 3. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Computational Physics and Python Applications
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