README.md
KESPA-NOTE-022 — Source-Organization Independence and High-Stakes Evidence Policy
Date: 2026-09-01 Status: Published historical technical record Project: KESPA AI / NexLabs Studios
Purpose
One of the first Knowledge Factory safety corrections was deceptively simple:
Two different domains do not necessarily mean two independent sources.
KESPA initially had evidence mechanics that could reason about source/domain counts.
That was not strong enough for high-stakes corroboration.
The policy was hardened so evidence independence is measured by source organization, not merely hostname.
Independence correction
The pilot evidence system changed from:
hostname/domain count
to:
source-organization count
Evidence records gained explicit:
source_organization
provenance.
Evidence reports also gained organization counts.
This prevents one organization operating several domains from accidentally satisfying an independence requirement multiple times.
A specific correction also prevented SEC-related domains from being falsely counted as separate independent organizations.
High-stakes policy
Cognitive Behavioral Therapy (CBT) was promoted into the high-stakes verification policy.
The evidence path added independent cross-checking rather than allowing a single authoritative-looking source to satisfy the full requirement.
The same architecture supports stricter handling across health, legal, finance, security, and other higher-risk knowledge domains.
Pilot source hardening
Several pilot source sets were corrected.
CBT
Failed seeds were replaced with sources from:
- NIMH
- APA
- VA
Cooking / food safety
Failed source URLs were replaced with:
- FoodSafety.gov
- current USDA FSIS material
Investing
The U.S. Department of Labor was added as an independent evidence source.
Copyright
Official U.S. Code Title 17 was added as independent evidence.
Additional evidence rails
The same implementation period also added or preserved:
- evidence-excerpt-only collection;
- explicit source-usage review;
- evidence hashing;
- provenance metadata;
- SSRF-safe public URL handling;
- redirect validation;
- high-stakes multi-domain evidence gates;
- curated authoritative source seeds;
- optional Google/DDG fallback discovery.
OpenStax was removed from the automated AI-ingestion source policy during this hardening pass.
Unknown/new source families were intended to default toward review rather than implicit trust.
Why organization identity matters
Consider three pages:
``text docs.example.org research.example.org support.example.com ``
Counting hostnames would produce:
3 sources
But if all three are controlled by the same organization, they are not three independent corroborators.
KESPA's corrected model asks:
How many independent source organizations support this?
not merely:
How many URLs/domains did we collect?
That is a stronger basis for evidence policy.
Separation from generation
This work changed source qualification and evidence provenance.
It did not:
- call an LLM;
- generate knowledge cards;
- write to Chroma;
- change
brain_api.py.
That separation allowed evidence-policy mechanics to be tested without confusing source quality with model behavior.
Validation
The historical implementation record reports:
- syntax validation: PASS
- offline cross-check policy tests: PASS
- LLM calls: 0
- Chroma changes: 0
- Brain API changes: 0
Research significance
This correction is part of a broader KESPA principle:
Corroboration should represent genuinely independent evidence, not superficial URL diversity.
That matters particularly for automated knowledge systems because a naïve source counter can manufacture confidence from multiple pages that all trace back to the same institution.
Limitation
This note records policy mechanics and offline validation.
It does not claim a measured reduction in false factual acceptance across a statistically representative high-stakes dataset.
That question requires separate empirical evaluation.