JEEScholar Indexes Academic Papers From Epstein Files
JEEScholar, an independent project by Antonio Maculus, indexes academic papers and books found in the U.S. Department of Justice's Jeffrey Epstein Files and a House Oversight Committee release. It extracts text from hundreds of thousands of government-released pages, detects academic content with heuristic filters and an AI classifier, enriches metadata via CrossRef, Semantic Scholar, and OpenAlex, and links to original government PDFs and DOIs. The service makes these public records searchable and accessible for researchers.
Key Points
- 1Indexes academic papers and books buried in DOJ and House Oversight Epstein-related releases.
- 2Automates detection and enrichment using heuristics, AI classifier, CrossRef, Semantic Scholar, and OpenAlex.
- 3Enables searchable access to original government PDFs and DOI links for researchers and public.
Scoring Rationale
Provides practical, well-validated indexing of government documents; limited novelty and narrow scope confined to Epstein-related releases.
Sources
Public references used for this report.
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