{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4BA7WURLMLJZJPBHGOUOMHVSNV","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":"081a95244e156e393f2cb5889983194cf3143d71a525a9187be0629c0e757097","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-17T07:04:13Z","title_canon_sha256":"5b1e12cdffd261bb7113e59a0e326d51775cd906d90efb244b112236d7971637"},"schema_version":"1.0","source":{"id":"1910.07737","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.07737","created_at":"2026-07-05T00:12:55Z"},{"alias_kind":"arxiv_version","alias_value":"1910.07737v1","created_at":"2026-07-05T00:12:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.07737","created_at":"2026-07-05T00:12:55Z"},{"alias_kind":"pith_short_12","alias_value":"4BA7WURLMLJZ","created_at":"2026-07-05T00:12:55Z"},{"alias_kind":"pith_short_16","alias_value":"4BA7WURLMLJZJPBH","created_at":"2026-07-05T00:12:55Z"},{"alias_kind":"pith_short_8","alias_value":"4BA7WURL","created_at":"2026-07-05T00:12:55Z"}],"graph_snapshots":[{"event_id":"sha256:5789dbd74beb3a93429e10efe82c04c4ff7d33e82c896ef0aa1b16a4eb6217b3","target":"graph","created_at":"2026-07-05T00:12:55Z","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/1910.07737/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoregressive (AR) models have become a popular tool for unsupervised learning, achieving state-of-the-art log likelihood estimates. We investigate the use of AR models as density estimators in two settings -- as a learning signal for image translation, and as an outlier detector -- and find that these density estimates are much less reliable than previously thought. We examine the underlying optimization issues from both an empirical and theoretical perspective, and provide a toy example that illustrates the problem. Overwhelmingly, we find that density estimates do not correlate with percep","authors_text":"Alexander C. Li, Murtaza Dalal, Rohan Taori","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-17T07:04:13Z","title":"Autoregressive Models: What Are They Good For?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.07737","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:a01b06ba29a9a4e4e161a5f5232e7b296954a0ebdb30d1819cd3147818d5ba7a","target":"record","created_at":"2026-07-05T00:12:55Z","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":"081a95244e156e393f2cb5889983194cf3143d71a525a9187be0629c0e757097","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-17T07:04:13Z","title_canon_sha256":"5b1e12cdffd261bb7113e59a0e326d51775cd906d90efb244b112236d7971637"},"schema_version":"1.0","source":{"id":"1910.07737","kind":"arxiv","version":1}},"canonical_sha256":"e041fb522b62d394bc2733a8e61eb26d6aaa04553a16f12f8c09a05714214abb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e041fb522b62d394bc2733a8e61eb26d6aaa04553a16f12f8c09a05714214abb","first_computed_at":"2026-07-05T00:12:55.302399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:12:55.302399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+JFSNFX9YZTQtZwbn27PVB57JKYaR1WQ2h5IXLazEw4vqBAcrtBreJ0nDblLwAcTQs64YJkL0YTmMF0nFl+3Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:12:55.302788Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.07737","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a01b06ba29a9a4e4e161a5f5232e7b296954a0ebdb30d1819cd3147818d5ba7a","sha256:5789dbd74beb3a93429e10efe82c04c4ff7d33e82c896ef0aa1b16a4eb6217b3"],"state_sha256":"baac3d09e2df7474fcf85b3ca065c8e83bf1ff73b3baa9bd9b2e0b891407c3c5"}