Tensor Technical Whitepaper

Abstract

This paper presents Tensor, a Proof-of-Work blockchain designed to establish cryptographic infrastructure for distributed auditable computation. Tensor introduces Tensor Adaptive Memory-Sequential Proof of Work (TAM-PoW), a hybrid memory-intensive and computation-intensive puzzle intended to support decentralization and resistance to application-specific hardware attacks.

We also propose the Deterministic Integer Execution Profile (DIEP), a framework for matrix and deep-learning operators that aims to produce bit-identical outputs for identical inputs across hardware platforms. Tensor uses a zero-premine model with a 2 billion token supply cap distributed through public block rules.

Introduction

Existing blockchain systems still face challenges in computational verifiability, execution transparency, and mining-power fairness. Tensor explores a design that combines auditable computation, deterministic execution, and an open issuance model. The proposals in this paper are research claims and require independent reproduction.

TAM-PoW Algorithm Design

TAM-PoW targets memory hardness, computation intensity, efficient verification, adjustable difficulty, and an upgrade path for future cryptographic requirements. Its construction combines a hash-derived memory state, sequential mixing, and matrix operations. The algorithm is not yet a production implementation.

DIEP Deterministic Execution Specification

DIEP defines integer semantics, memory layout, serialization, and operator behavior intended to make distributed computation reproducible. Cross-platform conformance tests and independent review are required before any implementation can be treated as a protocol guarantee.

Consensus Protocol

The proposed chain uses open Proof of Work and public validation rules. Block rewards, transaction commitments, and validator service eligibility remain subject to implementation and review.

Economic Model

The planning model caps supply at 2 billion tokens and proposes a zero-premine distribution through block rewards. Suggested miner and validator allocations, fee routing, and burn rules are proposals rather than final commitments.

Security Analysis

Security claims cover collision resistance, preimage resistance, memory tradeoffs, deterministic execution, and incentive assumptions. They are hypotheses for review, not completed formal proofs or audit results.

System Architecture

The proposed architecture separates consensus, deterministic execution, trace commitments, dispute handling, and public audit tooling so each layer can be tested independently.

Performance Evaluation

Any performance numbers in this paper are design estimates. Reproducible benchmarks across supported hardware are required before they should inform capacity or economic decisions.

Future Work

Future work includes reference implementations, conformance vectors, security audits, testnet deployment, independent economic simulation, and community review.

Conclusion

Tensor is an open research proposal for auditable computation and public Proof of Work. No mainnet, token market, or production miner is available today. Readers should treat the design as provisional and verify every claim against future code and audits.