What question did this study set out to answer?

The central aim is to define cross-model anchor families based on shared attributes across different language models.

June 21, 2026Open Access

Mercury Cross-Model Anchor Families

Key Points

The central aim is to define cross-model anchor families based on shared attributes across different language models.
Defines cross-model anchor families that include attributes like function and module role.
Analyzes activation coherence and prompt-path behavior among various language models.
Establishes a clearer understanding of how different language models interact and share features.
Offers a visual representation of the AI family tree without incorporating myths.

Abstract

A Mercury methods paper defining cross-model anchor families as measured sites from different language models that share function, normalized depth, module role, activation coherence, and prompt-path behavior. The paper makes the AI family tree visible without turning it into mythology. 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 (Fri,) studied this question.

synapsesocial.com/papers/6a377fdd24f042ddf4c5a1b5 https://doi.org/https://doi.org/10.5281/zenodo.20757837

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