PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 27, 20260 citationsOpen Access

The Symbolic Relay Protocol (SRP): An Open Method for Cross-Model Ideation and Knowledge Gap Discovery

View Full Paper
KLKon Lionis

Key Points

  • This research aims to introduce the Symbolic Relay Protocol (SRP) as a method for facilitating cross-model ideation and discovering knowledge gaps.
  • Utilized large language models in the SRP framework.
  • Coordinated multiple models through differentiated symbolic roles and sequential relay.
  • Emphasized an open-method approach for ideation and reflective analysis.
  • Identified latent connections and framing tensions across models.
  • Surface knowledge gaps that were not evident in single-model interactions.
  • Established the SRP as a lightweight methodological protocol for interdisciplinary inquiry.

Abstract

The Symbolic Relay Protocol (SRP) is an open, human-stewarded method for cross-model ideation using large language models. It coordinates two or more models through differentiated symbolic roles and sequential relay, allowing outputs from one model to become structured input for the next. SRP is designed to help surface latent conceptual connections, framing tensions, blind spots, and candidate knowledge gaps that may be difficult to observe through isolated single-model interaction. It is presented as a lightweight methodological protocol for research ideation, interdisciplinary exploration, design inquiry, and reflective analysis. This release establishes SRP v1.0 as an open prior-art method within the Hykon Stability & Alignment Suite Research Programme. It does not claim to verify truth, establish feasibility, or replace domain expertise. Outputs generated through SRP should be treated as exploratory hypotheses requiring independent validation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kon Lionis (2026) studied this question.

synapsesocial.com/papers/69eefdb5fede9185760d4703https://doi.org/10.5281/zenodo.19755527
Ask AI
Helpful
Bookmark
Share
View Full Paper