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Research agenda / Proposed work

Questions
worth testing.

A plan to turn engineering intuitions into reproducible experiments on data quality and evidence-bounded AI.

Study 01Proposed

Civic data curation & retrieval

How do deduplication and provenance checks change source retrieval and grounded answers?

Experiment direction

Use a rights-audited civic-document corpus. Freeze the retriever and model, hold out jurisdictions, and compare curation interventions through coverage, retrieval errors, answer support, latency, and cost.

Intended publication

A documented corpus, frozen evaluation set, reproducible baseline, and ablation report.

Study 02Proposed

Evidence-bounded answers

Do claim-level citations and explicit unknown states improve the usefulness of an answer?

Experiment direction

Compare ordinary retrieval answers with answers that expose source support, contradictions, and unknowns. Use the same frozen questions and blinded human evidence review for paired comparisons.

Intended publication

An evidence rubric, annotated comparison set, error taxonomy, and paired results.

Study 03Proposed

Temporal evidence & abstention

Can better treatment of dates prevent a system from relying on a superseded rule?

Experiment direction

Separate publication, effective, and retrieval dates. Evaluate current and historical questions, including cases with conflicting or missing current evidence. Measure reliance on superseded rules and appropriate abstention.

Intended publication

A versioned temporal benchmark, source timeline, and evaluation of unsupported answers.

Across every study

Make the result inspectable.

  • Document data rights, collection, exclusions, and source dates.
  • Keep held-out evaluation material separate from development data.
  • Publish baselines and ablations before claiming improvement.
  • Report unsupported answers, abstention, latency, and cost.
  • Include failure cases and the limits of the conclusion.

These directions grow out of the public Cividian Site Diligence and Phroneme projects. Their purpose is to produce original evidence, not to imply results that already exist.

Research conversations

A better question
is a useful start.

owencrabbe@owencrabbe.com