mlsanityData to 14 Oct 2026

Didact: A Cross-Domain Capability Discovery System for Defence

arXiv 2606.06942 ↗First posted 5 Jun 2026cs.CL cs.AIcited by 0

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Abstract (arXiv)

Policymakers in defence and defence-aligned sectors must monitor rapidly evolving research alongside sector priorities relevant to operational and strategic needs. In practice, these sources are fragmented across heterogeneous formats, disjoint repositories, and siloed update streams, making capability discovery slow and difficult to audit. We present Didact, a prototype that integrates publicly available defence reports and policy documents from Australia with a purpose-built knowledge graph derived from Australian research publications. Didact provides natural language conversations for policy-oriented workflows, and leverages a composite retrieval-augmented generation (RAG) pipeline. A key feature of Didact is an interactive Evidence Rail that visualises retrieved evidence and source relationships. Our evaluation of the output quality and runtime of Didact highlights its utility. While Didact has been co-developed as an academia-industry project for the Australian context, it is adaptable to other domains where knowledge is similarly fragmented. A demonstration video is available here:

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 5 Jun 2026.

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5 of 11 references.

References · 5

  1. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
  2. 2020Knowledge Graphscited by 621
  3. 2024Graph Retrieval-Augmented Generation: A Surveycited by 324
  4. 2022OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and conceptscited by 177
  5. 2026A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documentscited by 1

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