/epistemic directly.
What it monitors
The dashboard aggregates signal from all your Wu-Weism sessions into four areas:- Scientific evidence tracking: numeric and qualitative evidence surfaces across your sessions
- Alignment audit reports: how your causal reasoning aligns with best practices at each rung of Pearl’s ladder
- Spectral health monitor: a real-time view of causal health across your active and completed work
- Benchmark results: your performance against scientific integrity benchmarks
Scientific evidence tracking
The evidence panel aggregates all numeric and qualitative evidence that has been extracted from your sessions — PDFs analyzed via the Causal Workbench, Hybrid Synthesis, or PDF Synthesis. For each piece of evidence the panel shows:- Source: the document or session the evidence came from
- Evidence class: one of three labels (see below)
- Claim linkage: which claims in the Claim Ledger this evidence supports
- Extraction timestamp: when the evidence entered the system
Evidence class labels
Filtering the evidence panel by class helps you quickly identify where your evidence base is thin and where it is robust.
Alignment audit reports
An alignment audit report is a structured evaluation of a session or synthesis run against causal best practices. Reports are generated automatically for each completed session and are available in the Audit Reports tab of the dashboard. Each report evaluates:- Rung consistency: whether Rung 2 and Rung 3 claims are supported by evidence of the appropriate class
- SCM coverage: whether the causal variables asserted in responses are present in the loaded Truth Cartridge
- Assumption explicitness: whether the assumptions underlying each causal claim were stated or remained implicit
- Counterfactual validity: for Rung 3 claims, whether the counterfactual world was specified with sufficient precision
Alignment audit reports can be exported as PDF or JSON. The JSON format is structured for programmatic ingestion into review workflows or institutional reporting systems.
Spectral health monitor
The spectral health monitor provides a continuous, cross-session view of causal health as a set of metrics. Unlike the per-session audit report, the spectral monitor aggregates across all your work and updates as new sessions complete. Metrics tracked:
The monitor displays each metric as a time-series over your session history, so you can observe trends rather than just point-in-time values.
Benchmark results
The benchmarks tab shows your performance against a set of scientific integrity reference points. These benchmarks test whether your causal work meets the standards of reproducible, falsifiable causal science. Benchmarks evaluated:Falsifiability benchmark
Falsifiability benchmark
Evaluates whether your recorded claims are stated in a way that admits of empirical refutation. Claims expressed in vague or unfalsifiable language score low. A passing claim must specify: (1) the causal variable, (2) the outcome variable, (3) the direction of the effect, and (4) the conditions under which the claim holds.
Provenance completeness benchmark
Provenance completeness benchmark
Evaluates whether every recorded claim can be traced to a source — a session, a document, and an extraction event. Orphaned claims (present in the Claim Ledger without traceable provenance) fail this benchmark.
Uncertainty disclosure benchmark
Uncertainty disclosure benchmark
Evaluates whether claims that carry uncertainty labels (from PDF Synthesis or Hybrid Synthesis) have had those labels preserved in the Claim Ledger entry. Stripping uncertainty labels when recording claims is a governance failure.
Intervention-observation separation benchmark
Intervention-observation separation benchmark
Evaluates whether Rung 2 claims are clearly distinguished from Rung 1 claims in your session outputs and recorded claims. Conflating observational findings with interventional conclusions is the most common epistemic error in applied causal analysis.
Related pages
Claim Ledger
The governed record of claims that feeds the Epistemic Dashboard.
PDF Synthesis
Understand how evidence class labels are assigned during document analysis.
Causal Ladder
The three-rung framework underpinning alignment audit scoring.
Hybrid Synthesis
Multi-source synthesis whose outputs feed alignment audit reports.
