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ZENODO
Doctoral thesis . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Thesis . 2026
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2026
License: CC BY
Data sources: Datacite
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BearNetworkchain Execution Specification

Authors: Chen, Ting;

BearNetworkchain Execution Specification

Abstract

Abstract: This document specifies the Machine-Checkable Blockchain Execution Specification(BNES) for BearNetworkChain a formally verifiable, deterministic blockchain execution machine. It defines a complete formal correctness predicate layer that harmonizes Post-Quantum Cryptography (PQC) trust-root authentication, Zero-Knowledge (ZK) verifiable computation, Clique deterministic ordering, EVM execution semantics, and Γ (Gamma) execution invariant observation. Key Features & Architecture: BNES Formal Correctness Layer: Provides the sole deterministic predicate system for correctness evaluation and automated auditing.PQC Trust Root Layer: Establishes post-quantum secure identity, transaction authorization, and signature verification boundaries resistant to quantum threats. ZK Verifiable Computation Layer (ZKEngine): Defines deterministic circuit representations and execution witness binding for absolute execution integrity. Γ Execution Invariant Observer Layer: Implements a global invariant scalar based on core dynamical equations to monitor overall system coherence during block finalization. State vs. Ownership Separation: Strictly isolates system-level state representation from external legal ownership and claims. This specification serves as the canonical, machine-checkable, and replayable execution standard tailored for AI agents, compilers, auditors, and node runtimes.

Keywords

BearNetworkChain, BNES, Machine-Checkable Specification, Post-Quantum Cryptography, Zero-Knowledge, PQC, ZK, Formal Verification, Blockchain Execution Specification, Deterministic Execution, Gamma Invariant, Symbol Ontology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green