data provenance
18 Articles
Conflicting Sources Fact Checking: What Explanations Must Show
A 2026 explainer on conflicting sources in fact checking: evidence-relation matrix, span removal tests and six scores, drawing on CLUE, ConfRAG (57.2% of 1,814 questions) and NatConfQA.
Structured Data Verification: When Facts Need a Query
Structured data verification for claims over joined tables: ClaimDB's 53,368 claims, a synthetic SQLite witness with 11 perturbations, separate abstention and reproducibility metrics with Wilson intervals (2026).
Query Provenance: Which Source Rows Justify a Derived Value?
A 2026 worked test of query provenance: witness sets for a join, projection and SUM, where, why and how provenance, PROV-O mapping, and an acceptance protocol for derived values.
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.
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.
Entity Resolution Human Review: Which Decisions Need It?
A 2026 guide to entity resolution human review: accept, review, or hold unresolved. Includes a decision card, fixed-capacity harm calculations, reviewer disagreement, and audit uncertainty.
AI Agent Memory Deletion Verification: Counterfactual Tests
A 2026 protocol for verifying AI agent memory deletion with never-exposed controls, multi-channel disclosure probes, behavioral residuals, retained utility and explicit evidence boundaries.
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.
JSON-LD context changes: When does data meaning change?
A 2026 guide to testing JSON-LD context changes through expansion diffs, frozen remote dependencies, integrity checks, consumer contracts, and versioned migration evidence.
Knowledge graph identifier versioning after corrections
A 2026 guide to knowledge graph identifier versioning: stable referents, correction responses, retirement and custody transfer, with a lifecycle matrix, historical replay tests and a proposed registry schedule.
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.
How to evaluate data sources for a knowledge graph
A 2026 guide to knowledge graph source admission: permission, provenance, versioning, sampled coverage and freshness, with an evidence card and accept, defer or reject decisions tied to a named question.
Truth discovery with hierarchical claims: A specificity test
A 2026 research protocol for hierarchical truth discovery: a five-relation conflict matrix, a disclosed scoring fixture, and tests of specificity, source agreement, provenance and uncertain hierarchy edges.
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.
How to Preserve Evidence When a Cited Source Changes
A 2026 guide to preserving value-level source evidence, separating observation and archive times, and rechecking changed, corrected, missing, or blocked citations with a decision matrix.
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.
Multiple Sources of Truth: An Assumption Audit
A 2026 assumption audit for multi-truth data integration, comparing LTM, MBM, and DART with worked claim matrices, omission semantics, provenance, and evaluation metrics.
Valid Time vs Transaction Time: Which Clock Proves What?
A 2026 guide to valid time, transaction time, observation time, and source publication time, with a delayed correction, four as-of tests, and a bitemporality decision matrix.