Smart Contract Templates: foundations, design landscape and research directions
Not on the map. Why?
Abstract (arXiv)
In this position paper, we consider some foundational topics regarding smart contracts (such as terminology, automation, enforceability, and semantics) and define a smart contract as an automatable and enforceable agreement. We explore a simple semantic framework for smart contracts, covering both operational and non-operational aspects, and describe templates and agreements for legally-enforceable smart contracts, based on legal documents. Building upon the Ricardian Contract, we identify operational parameters in the legal documents and use these to connect legal agreements to standardised code. We also explore the design landscape, including increasing sophistication of parameters, increasing use of common standardised code, and long-term research.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Aug 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 0; 2025: 2; 2026: 2.
6 papers.
- 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilitiescited by 5
- 2025Guiding LLM-based Smart Contract Generation with Finite State Machinecited by 5
- 2021ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learningcited by 4
- 2026OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demandcited by 3
- 2021Identification of Dynamical Systems using Symbolic Regressioncited by 1
- 2026Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligencecited by 0
- 2026Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligence14 Aug 2026
- 2026OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand19 Jan 2026
- 2025Guiding LLM-based Smart Contract Generation with Finite State Machine13 May 2025
- 2025Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities13 Jan 2025
- 2021Identification of Dynamical Systems using Symbolic Regression6 Jul 2021
- 2021ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning23 Mar 2021