EPRAG Artifact Repository
Authors/Creators
Description
EPRAG v1.0.0
This is the first archival release of the reproducibility repository accompanying the manuscript:
EPRAG: An Epistemic Policy Framework for Action Selection in Multi-Source Enterprise Retrieval-Augmented Generation
The repository contains the code, configurations, prompts, public evaluation artifacts, aggregate results, and documentation required to inspect and reproduce the main analyses reported in the study.
Included materials
- Reference implementation of the EPRAG decision-policy pipeline
- Public BIRD-derived evaluation artifacts and predictions
- Taxonomy-blind public audit materials and trusted annotations
- Structured GPT-5 judge evaluation outputs
- Counterfactual-answerability candidate and threshold sensitivity results
- Baseline and ablation outputs
- Non-sensitive helpdesk schema, synthetic workbook template, label-derivation documentation, and aggregate results
- Manuscript-aligned configuration files
- File manifest and SHA-256 checksums
Evaluation subsets
- Public BIRD-derived benchmark: n = 720
- Taxonomy-blind public audit: n = 200
- Structured GPT-5 judge:
- BIRD-derived subset: n = 240
- Helpdesk subset: n = 100
- Answerability sensitivity subset: n = 96
Privacy and availability
The private university helpdesk records are not included because they contain operational and potentially sensitive information. Only non-sensitive schemas, synthetic templates, label-derivation rules, prediction-level metadata where permissible, and aggregate results are provided.
This release does not contain the manuscript, LaTeX sources, reviewer correspondence, cover letters, or journal-submission files.
Version
Version: 1.0.0
This release represents the frozen archival version associated with the manuscript.
Notes
Files
ihakkikinali/EPRAG_v1.0.0-v1.0.0.zip
Files
(1.4 MB)
| Name | Size | Download all |
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md5:672fc3e98b9ab1a112058253f21acad7
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1.4 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/ihakkikinali/EPRAG_v1.0.0/tree/v1.0.0 (URL)
Software
- Repository URL
- https://github.com/ihakkikinali/EPRAG_v1.0.0