{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CH65U3DMGMYQOTAI2HKWKCHSE5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"aab496e7d94f4e4fb0ddab7292dac822979ac1dec4f6bb1456b2e31041ba5dcd","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-05T18:30:26Z","title_canon_sha256":"4f28220ecef34a1558ebec5ef62c7390311838d1d697ce467a3959d9d369b7d3"},"schema_version":"1.0","source":{"id":"2107.02212","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.02212","created_at":"2026-07-05T02:55:17Z"},{"alias_kind":"arxiv_version","alias_value":"2107.02212v1","created_at":"2026-07-05T02:55:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.02212","created_at":"2026-07-05T02:55:17Z"},{"alias_kind":"pith_short_12","alias_value":"CH65U3DMGMYQ","created_at":"2026-07-05T02:55:17Z"},{"alias_kind":"pith_short_16","alias_value":"CH65U3DMGMYQOTAI","created_at":"2026-07-05T02:55:17Z"},{"alias_kind":"pith_short_8","alias_value":"CH65U3DM","created_at":"2026-07-05T02:55:17Z"}],"graph_snapshots":[{"event_id":"sha256:d39e0fe020658572d336a6df472bb3fb4e700fb4a3e659adc21f120d1c1c8f99","target":"graph","created_at":"2026-07-05T02:55:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2107.02212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Density ratio estimation serves as an important technique in the unsupervised machine learning toolbox. However, such ratios are difficult to estimate for complex, high-dimensional data, particularly when the densities of interest are sufficiently different. In our work, we propose to leverage an invertible generative model to map the two distributions into a common feature space prior to estimation. This featurization brings the densities closer together in latent space, sidestepping pathological scenarios where the learned density ratios in input space can be arbitrarily inaccurate. At the s","authors_text":"Kristy Choi, Madeline Liao, Stefano Ermon","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-05T18:30:26Z","title":"Featurized Density Ratio Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.02212","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:88fac5f2590bc904a8a715eb29b0130552ad0af8fd0ccf8e4569e308c1901a0c","target":"record","created_at":"2026-07-05T02:55:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"aab496e7d94f4e4fb0ddab7292dac822979ac1dec4f6bb1456b2e31041ba5dcd","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-05T18:30:26Z","title_canon_sha256":"4f28220ecef34a1558ebec5ef62c7390311838d1d697ce467a3959d9d369b7d3"},"schema_version":"1.0","source":{"id":"2107.02212","kind":"arxiv","version":1}},"canonical_sha256":"11fdda6c6c3331074c08d1d56508f2274669d5d8e8b732c0463f06daf4bb9b3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11fdda6c6c3331074c08d1d56508f2274669d5d8e8b732c0463f06daf4bb9b3d","first_computed_at":"2026-07-05T02:55:17.994764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:55:17.994764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qx1CY3NXGDNTddVRMf92O0mBvjNJP17N9gnMSl4tzpX1hdAMctSFXKQQuIkuH7p+wrYKVhezhc83Q6paBSEHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:55:17.995242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.02212","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88fac5f2590bc904a8a715eb29b0130552ad0af8fd0ccf8e4569e308c1901a0c","sha256:d39e0fe020658572d336a6df472bb3fb4e700fb4a3e659adc21f120d1c1c8f99"],"state_sha256":"cfbe431edc26293a0d21beeab317f806a7a2ee232cbcff982cb68a5d1071333a"}