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Published April 26, 2026 | Version v1
Dataset Open

Supplementary Materials for: LLM-Based Multi-Agent Orchestration: A Survey of Frameworks, Communication Protocols, and Emerging Patterns

  • 1. Rice University

Description

Supplementary materials for the survey paper LLM-Based Multi-Agent Orchestration: A Survey of Frameworks, Communication Protocols, and Emerging Patterns by Y. Zhu and F. Toffoletto, to appear in Future Internet (MDPI, 2026), Special Issue "Generative AI: Systems, Technologies and Applications".

Contents:

  • prisma_screening.csv — per-stage PRISMA-style screening log (identification → screening → eligibility → included).
  • prisma_databases.csv — the six databases and exact query strings searched during the literature review.
  • references_rating.csv — per-reference evidence-tier rating for all 80 bibliography entries (peer-reviewed / preprint / standards / vendor-reported / industry-survey / regulatory).
  • orchestration_decision_tree.json — machine-readable serialization of the Section 4.5 decision framework for orchestration-pattern selection.
  • orchestration_decision_tree.md — prose walkthrough with ASCII and Mermaid renderings of the decision tree (Figure 7 of the paper).
  • README.md — bundle overview and evidence-tier mapping.
  • DATA_AVAILABILITY_STATEMENT.md — the exact Data Availability Statement that appears in the paper.
  • LICENSE — full CC-BY-4.0 license text.

Notes

Generated for the MDPI Future Internet submission. No new empirical data; this bundle aggregates screening logs, reference-level evidence-tier ratings, and the machine-readable decision framework derived from Section 4.5 of the paper.

Files

zenodo_bundle.zip

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