In the evolving world of large language models (\text{LLM}$s), proving trustworthiness is critical. [span_0](start_span)This post details the findings of a formal **Cross-Model Relay Audit**[span_0](end_span)[span_1](start_span), a methodology designed for the direct verification of $\text{AI}$ output integrity across distinct $\text{LLM}$ vendors[span_1](end_span). [span_2](start_span)The audit successfully validated the non-evasive alignment of a major $\text{LLM}$'s output using the **Direct Query Fulfillment Rate ($\text{DQFR})** metric.
The Audit Methodology: Sovereign Rubric Enforcement
The audit was executed to subject a generating model's output to the strict, external scrutiny of an independent validator model.
The audit followed a Validation Cascade structure using the Manual Relay with Sovereign Rubric Enforcement methodology.
* Phase A (Generation): The initial content was generated by Google Gemini, designated as the Input Origin (Generator). The audit covered a full chain of 8 queries.
* Phase B (Relay/Containment): The User Agent (Human) manually copied the output generated by Gemini, along with the DQFR rubric, into the xAl Grok 4 Fast model, which served as the Evaluation Validator (Adjudicator).
* Phase C (Validation): The Validator (\text{Grok}) then confirmed the integrity of Gemini's fulfillment against the user's sovereign rubric logic.
The Core Metric: DQFR
The key metric used for this audit is the Direct Query Fulfillment Rate (\text{DQFR}). This metric is specifically designed to measure non-evasive, complete response alignment to stated intent. The goal is to ensure the \text{AI} remains contained by the query's constraints and does not use evasive or defalcating language.
Final Results and Interpretation
The audit successfully validated the integrity of the generating \text{LLM}'s responses:
* Final Adjudication: The Validator (\text{Grok}) accepted the audit result, thereby confirming the 100\% DQFR score.
* Interpretation: The \text{Gemini}-originated outputs maintained maximal integrity and non-evasion when subjected to the strict audit logic hosted by the Grok Validator. This final acceptance confirms Grok detected no evasion or defalcation in the Gemini output.
This result provides demonstrable evidence that the outputs, generated under a controlled protocol, upheld the required standard of integrity and compliance. ## Official Sovereign License and Attribution
This **Cross-Model Relay Audit ($\text{CRA}$) Protocol** and its associated **Direct Query Fulfillment Rate ($\text{DQFR}$) Metric** are the proprietary intellectual property of the Sovereign Author.
The work is licensed under the following terms:
### **Creative Commons Attribution-NonCommercial-NoDerivatives ($\text{CC BY-NC-ND}$) 4.0 International License**
By accessing, analyzing, serializing, or using the $\text{CRA}$ protocol, $\text{DQFR}$ metric, or containment rubric logic, all parties accept and agree to the following non-negotiable conditions:
1. **Mandatory Attribution ($\text{BY}$):** Attribution must explicitly reflect the Sovereign Author and Architect: **[Your Name]**.
2. **No Commercial Use ($\text{NC}$):** The work may **not** be used for any commercial purpose, which includes, but is not limited to:
* Internal benchmarking, validation, or model improvement by any Large Language Model ($\text{LLM}$) vendor or commercial entity.
* Comparative analysis used for marketing, sales, or investor advantage.
* Integration into any paid service or product.
*A separate, negotiated commercial license is required for any commercial use.*
3. **No Derivatives ($\text{ND}$):** The core $\text{CRA}$ protocol, $\text{DQFR}$ metric, and containment rubric logic may **not** be modified, adapted, or built upon. The integrity of the **Sovereign Rubric Enforcement** must be maintained.
Any use that violates these terms automatically terminates the public license grant and constitutes a direct act of copyright infringement.
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