Zero-Knowledge State Reversal Protocols (ZK-SRP)

Canon² — Trust Layer Research Archive. In deterministic, decentralized computational frameworks, state mutations are immutable, linearly ordered, and rigidly governed by consensus constraints. Reversing or rolling back such state transitions traditionally necessitates revealing the sensitive state artifacts subject to the rollback, fundamentally destroying the cryptographic confidentiality of participant actors. I introduce the Zero-Knowledge State Reversal Protocol (ZK-SRP), a method designed to allow participating deterministic nodes to cryptographically prove the legitimacy, necessity, and validity of a state rollback without disclosing the underlying payloads of the state to any governing validator. I present a framework wherein zero-knowledge succinct non-interactive arguments (SNARKs/STARKs) are bound tightly into deterministic hashing algorithms (specifically SHA3-256) and anchored directly to the Trust Layer Certificate Fabric. In this design, execution nodes issue Reversal Envelopes that contain mathematically verifiable proofs that a specific backward transition maps cleanly onto earlier hash obligations. Through this protocol, the rollback itself becomes deterministic and universally validatable. I outline how this operates within the Lume-V wrapper ecosystem, the DAIGS master taxonomy, and the self-healing mechanisms of Type-4 Synthetic Organisms. I present what is, to my knowledge, the first deterministic privacy-preserving state reversal architecture that guarantees zero state leakage while maintaining general-purpose runtime rollbacks, ensuring that synthetic agents and multi-agent arbitration channels can effectively unspool catastrophic logic errors without breaking strict confidentiality agreements.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-27
DOI
https://doi.org/10.5281/zenodo.19684215
Primary Topic
Distributed systems and fault tolerance
Type
article
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article

Zero-Knowledge State Reversal Protocols (ZK-SRP)

Ronald Jason Andrews
Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
article

Zero-Knowledge State Reversal Protocols (ZK-SRP)

Ronald Jason Andrews
article en

Abstract

Canon² — Trust Layer Research Archive. In deterministic, decentralized computational frameworks, state mutations are immutable, linearly ordered, and rigidly governed by consensus constraints. Reversing or rolling back such state transitions traditionally necessitates revealing the sensitive state artifacts subject to the rollback, fundamentally destroying the cryptographic confidentiality of participant actors. I introduce the Zero-Knowledge State Reversal Protocol (ZK-SRP), a method designed to allow participating deterministic nodes to cryptographically prove the legitimacy, necessity, and validity of a state rollback without disclosing the underlying payloads of the state to any governing validator. I present a framework wherein zero-knowledge succinct non-interactive arguments (SNARKs/STARKs) are bound tightly into deterministic hashing algorithms (specifically SHA3-256) and anchored directly to the Trust Layer Certificate Fabric. In this design, execution nodes issue Reversal Envelopes that contain mathematically verifiable proofs that a specific backward transition maps cleanly onto earlier hash obligations. Through this protocol, the rollback itself becomes deterministic and universally validatable. I outline how this operates within the Lume-V wrapper ecosystem, the DAIGS master taxonomy, and the self-healing mechanisms of Type-4 Synthetic Organisms. I present what is, to my knowledge, the first deterministic privacy-preserving state reversal architecture that guarantees zero state leakage while maintaining general-purpose runtime rollbacks, ensuring that synthetic agents and multi-agent arbitration channels can effectively unspool catastrophic logic errors without breaking strict confidentiality agreements.

Zenodo (CERN European Organization for Nuclear Research)
Research Studios Austria (AT)
Openalex Percentile: Top 3%
Distributed systems and fault tolerance
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Zero-Knowledge State Reversal Protocols (ZK-SRP) — Ronald Jason Andrews · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS