truth discovery
12 Articles
Federated Query Completeness in Knowledge Graphs: A Certificate
How to decide whether a federated SPARQL result is complete, incomplete or unknown: Darari et al. completeness statements, a query-level certificate, six failure tests and an 85% recall worked example, 2026.
Data Fusion Error Propagation Benchmark: Upstream Error Audit
Evaluation protocol and literature critique of data fusion error propagation in MaDI-Bench: 15 and 20 tested cells, the Products missing-record bound, and an oracle-substitution ledger for 2026.
LLM conflicting sources: a counterfactual fusion test
A 2026 evidence review of LLM source conflict resolution, reconstructing tabular-fusion F1 results and specifying entity masking, source-dependence tests, abstention metrics and reproducible provenance.
How to resolve conflicting numerical claims: normalize first
A 2026 methods guide to reconciling numerical claims: unit and time alignment, CRH loss functions, versioned MaDI-Bench evidence, and a reproducible fixture showing ranking sensitivity.
Source selection in data fusion: evaluating marginal evidence
A 2026 evaluation protocol for source selection in data fusion: compare held-out subsets, separate coverage from verified accuracy, test source dependence, and audit integration costs and provenance.
Constraint-based AI evaluation: When exceptions matter
A 2026 research guide to constraint-based AI evaluation, with independent holdouts, rule-error and exception stress tests, provenance checks, and a worked harmful-override calculation.
Data Extraction Error Analysis: Source or Extractor?
A 2026 research report on data extraction error analysis: separate source and extractor errors with a provenance worksheet, identical-holdout ablations, eligible denominators, and calibrated uncertainty.
Source Reliability by Topic: Testing a Single Trust Score
A 2026 analysis of source reliability by topic: FaitCrowd and DART evidence, global versus pooled models, and a held-out benchmark for error, calibration, uncertainty and sparse-topic coverage.
Sybil Attacks in Truth Discovery: A Stress Test
A 2026 research guide to Sybil attacks in truth discovery, comparing copied-source and controlled-identity threats, TDSSA evidence, factorial stress tests, and defensible failure thresholds.
Truth existence in data fusion: when all sources err
A 2026 research guide to no-truth questions in data fusion, TEM source-quality assumptions, SF2013 F1 denominators, and a held-out test for candidate omission and correct abstention.
Testing Streaming Truth Discovery Under Drift
A 2026 research guide to streaming truth discovery, separating one-pass computation, evolving truth and source reliability drift with decision matrices and failure-injection metrics.
Fairness Tests for Truth-Discovery Aggregation
A 2026 evidence-based protocol for auditing truth-discovery aggregation across accuracy, disparity, coverage, uncertainty, dataset lineage, and downstream effects.