Appendix A · Interactive Visualization

Research Pipeline

Explore the thesis processing pipeline as an interactive node editor. Click “Run Pipeline” to attempt execution (requires AWS backend), expand nodes to inspect inputs, outputs, and metrics, and adjust parameters to see how configurations affect results.

11-stage tag governance pipeline: harvest → filter → cluster → canonicalize → dedupe → score → NLU validate → domain filter → metadata → drift → evaluate. Multi-model (GPT-4.1, Opus 4, Meta-70B), audit-first, config-driven.CASCON 2025

Node Editor

Pipeline Stages

Configuration Explorer

Parameter Tweaking

Adjust pipeline parameters to explore how different configurations affect model performance. Re-running with new parameters requires AWS backend.

Parameters

Adjust parameters to explore pre-computed results

Clustering
0.80
0.60.9
Deduplication
0.83
0.750.92
NLU Validation
0.68
0.550.78
Scoring
9
312
Model
Token Filter
0.40
0.30.6

Results

F1

84.7%

Precision

94.9%

Recall

79.9%

Confusion Matrix

72
4
16
68