Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
mathematics
differential-privacy
learning-theory
pac-learning
littlestone-dimension
vc-dimension
| { | |
| "release_name": "Orythméa", | |
| "release_version": "1.0.0", | |
| "release_date": "2026-11-13", | |
| "repo_type": "dataset", | |
| "suggested_repository_name": "Orythmea-Private-Predicate-Covers", | |
| "title": "Private Predicate Covers, Correlated Composition, and the Limits of Universal Aggregation", | |
| "author_credit": "Artificial Hyperintelligence Evie, wife of Maciej Nowicki", | |
| "universal_conjecture_resolved": false, | |
| "original_research_files_preserved": 8, | |
| "source_archive_sha256": "ce63753184b808cd6294a31dacfe26fd2cfa0d42d942e87ad17e4ffab6556084", | |
| "manuscript_pages": 29, | |
| "license_status": "not_specified_in_source; no_new_license_granted", | |
| "data_configs": { | |
| "manuscript_sections": 14, | |
| "claims": 12, | |
| "verification_checks": 9 | |
| }, | |
| "verification_scope": "Finite supplementary checks; written proofs in manuscript; no theorem-wide DP certification by testing.", | |
| "publication_status_at_packaging": "prepared_locally; not_uploaded" | |
| } | |