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Process Swarm

Deterministic architecture for multi-artifact integrity in agentic systems.


Paper

Process Swarm: A Deterministic Architecture for Multi-Artifact Integrity in Agentic Systems

DOI

Read the paper: https://doi.org/10.5281/zenodo.19699704


Overview

Process Swarm is a system architecture designed to eliminate cross-artifact divergence in agentic AI workflows.

Instead of treating outputs independently, Process Swarm enforces:

  • A single canonical artifact
  • Derivation-only downstream transformations
  • Validation as an execution gate
  • Immutable lineage across artifacts

The result is deterministic, auditable multi-artifact generation.


Key Concepts

  • Canonical Artifact: single source of truth
  • Derivation Constraint: no new facts downstream
  • Validation Gates: fail-closed execution
  • Lineage: hash-linked artifact chain
  • Execution Graphs: DAG-based orchestration

Repository Layout

  • paper/ contains the published PDF and LaTeX source
  • evaluation/ is reserved for the future empirical harness, datasets, and results
  • docs/ is reserved for diagrams, examples, and supporting materials

Status

  • Paper published on Zenodo
  • Evaluation protocol defined
  • Experimental validation planned

Citation

Corvus, Nikodemus. (2026). Process Swarm: A Deterministic Architecture for Multi-Artifact Integrity in Agentic Systems. Zenodo. https://doi.org/10.5281/zenodo.19699704


License

CC BY 4.0

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Deterministic architecture for multi-artifact integrity in agentic AI systems

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