What question did this study set out to answer?

This paper aims to define and inspect cross-model functional-address hypotheses in language models.

June 20, 2026Open Access

Mercury Cross-Model Highways: Navigating Shared Functional Addresses Across Language Models

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This paper aims to define and inspect cross-model functional-address hypotheses in language models.
Defines cross-model roads among opened LLM towers
Utilizes region alignment and neighbor overlap for analysis
Applies prompt co-activation, confidence scoring, and falsification tests
Establishes a framework for inspecting functional addresses across models
Introduces metrics for evaluating neighborhood overlap and alignment
Demonstrates potential applications in optimizing language model interactions

Implication

Methods paper outlines new approaches for exploring functional addresses in language models, suggesting future applications.

Abstract

A Mercury methods paper defining cross-model roads between opened LLM towers as inspectable functional-address hypotheses with region alignment, neighbor overlap, prompt co-activation, confidence scoring, and falsification tests. Copyright (c) 2026 Chen, Ho Yiing (norika). Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

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Cite This Study

Ho Yiing Chen (2026) studied this question.

synapsesocial.com/papers/6a3631fbdb0793dc1a538a4a https://doi.org/10.5281/zenodo.20740080

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Implication

Methods paper outlines new approaches for exploring functional addresses in language models, suggesting future applications.

Mercury Cross-Model Highways: Navigating Shared Functional Addresses Across Language Models

Key Points

Implication

Abstract

Discussion

Cite This Study

Mercury Cross-Model Highways: Navigating Shared Functional Addresses Across Language Models

Key Points

Implication

Abstract

Discussion

Cite This Study

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