Researchagentsprompt engineeringcausal inferencefinancial services
4D-ARE Framework Defines Agent Attribution Requirements
6.0
A research paper submitted Jan 8, 2026 proposes 4D-ARE, a four-dimensional methodology for specifying attribution-driven requirements for LLM agents. The framework organizes attribution into Results, Process, Support, and Long-term dimensions, operationalizes via five layers that compile to system prompts, and reports a preliminary industrial pilot in financial services; rigorous empirical evaluation is planned.
Key Points
- 1Introduces 4D-ARE organizing agent attribution across Results, Process, Support, and Long-term dimensions
- 2Frames attribution as decision-makers' need, aligning with Pearl's causal hierarchy for deeper explanations
- 3Provides five-layer artifact pipeline that compiles to system prompts for actionable agent specifications
Scoring Rationale
Novel methodological framing and pilot validation, but preliminary single-paper proposal lacks rigorous empirical evaluation and broader replication.
Sources
Public references used for this report.
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