2203.16699
Excitation and Measurement Patterns for the Identifiability of Directed Acyclic Graphs
Eduardo Mapurunga, Michel Gevers, Alexandre S. Bazanella
correctmedium confidence
- Category
- math.DS
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
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Audit review
The paper proves that for DAG networks, generic identifiability requires (1) every node is either excited or measured, (2) all sources are excited and all sinks are measured, and (3) all dources are excited and all dinks are measured (Theorem IV.1, with dource/dink defined in Section II) . Items (1)–(2) are inherited from a general necessary condition (Proposition II.1) . The candidate solution independently establishes the same necessity statements by constructing graph-consistent, one-parameter reparametrizations that keep M = C(I−G)^{-1}B invariant—using path-sum invariance in DAGs—thereby showing non-uniqueness whenever any condition fails. This is a different but valid proof strategy compared to the paper’s algebraic, triangular-system argument based on Lemma III.1 (relations (5)–(10)) and the ensuing need to know specific T-entries to solve for certain G-entries. We find no contradiction: both establish necessity, and neither claims sufficiency for these conditions alone.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} strong field \textbf{Justification:} The manuscript isolates structural node types (dources/dinks) that impose additional necessary excitation/measurement constraints for DAG identifiability, and it proposes a workable EMP-construction method. The results are technically sound and practically relevant. Minor additions to completeness and clarity (e.g., the dual proof and precise genericity phrasing) would make the paper fully self-contained and easier to adopt.