BASE 44 ORDER: Build breakthrough_triads table with 3-bit md5 bucket and lookup-first path — E8 Intelligence Research
- 1Independent Researcher, United Kingdom
Abstract
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1334] Create table breakthrough_triads (id bigserial primary key, phase_bucket smallint, content_hash text, breakthrough_id bigint references breakthroughs(id)); add composite index (phase_bucket, content_hash); implement Python function to compute 3-bit bucket via md5 slices mod 3; populate on insert/update; add lookup-first query path.
MERLIN: Understood — this is a platform build order, not an immediate ops action. I'll create the breakthrough_triads table with the composite index, implement the Python md5-slice-mod-3 bucketing function, wire it into insert/update flows, and add the lookup-first query path. The swarm will now execute this schema and code change, then verify the index and population logic.
Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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BibTeX
@misc{caldin2026base,
title = {{BASE 44 ORDER: Build breakthrough_triads table with 3-bit md5 bucket and lookup-first path — E8 Intelligence Research}},
author = {Andrew Stewart Caldin},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23553851},
url = {https://zenodo.org/records/23553851},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - BASE 44 ORDER: Build breakthrough_triads table with 3-bit md5 bucket and lookup-first path — E8 Intelligence Research
AU - Andrew Stewart Caldin
PY - 2026
DA - 2026/10/22
PB - Zenodo
DO - 10.5281/zenodo.23553851
UR - https://zenodo.org/records/23553851
AB - Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1334] Create table breakthrough_triads (id bigserial primary key, phase_bucket smallint, content_hash text, breakthrough_id bigint references breakthroughs(id)); add composite index (phase_bucket, content_hash); implement Python function to compute 3-bit bucket via md5 slices mod 3; populate on insert/update; add lookup-first query path. MERLIN: Understood — this is a platform build order, not an immediate ops action. I'll create the breakthrough_triads table with the composite index, implement the Python md5-slice-mod-3 bucketing function, wire it into insert/update flows, and add the lookup-first query path. The swarm will now execute this schema and code change, then verify the index and population logic. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER -