{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NLWLY7QO7TKLGWEJFSZ3LF55HD","short_pith_number":"pith:NLWLY7QO","canonical_record":{"source":{"id":"2311.01900","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-11-03T13:20:11Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5e78ada946a986c071cd6f6b8e59f0ecf52e44a6efd9fe4c78e7786358172d1d","abstract_canon_sha256":"212318f70db3c8ed0978e0bf7ca98dd4b0c33365f2f870602f6e3f43f5ea2654"},"schema_version":"1.0"},"canonical_sha256":"6aecbc7e0efcd4b358892cb3b597bd38c6b57a2243d76a9e6eb96708d10ea8ca","source":{"kind":"arxiv","id":"2311.01900","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01900","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01900v1","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01900","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"pith_short_12","alias_value":"NLWLY7QO7TKL","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"pith_short_16","alias_value":"NLWLY7QO7TKLGWEJ","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"pith_short_8","alias_value":"NLWLY7QO","created_at":"2026-07-05T07:08:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NLWLY7QO7TKLGWEJFSZ3LF55HD","target":"record","payload":{"canonical_record":{"source":{"id":"2311.01900","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-11-03T13:20:11Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5e78ada946a986c071cd6f6b8e59f0ecf52e44a6efd9fe4c78e7786358172d1d","abstract_canon_sha256":"212318f70db3c8ed0978e0bf7ca98dd4b0c33365f2f870602f6e3f43f5ea2654"},"schema_version":"1.0"},"canonical_sha256":"6aecbc7e0efcd4b358892cb3b597bd38c6b57a2243d76a9e6eb96708d10ea8ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:46.980215Z","signature_b64":"QagcH3SIkHfzqwyghzQw8kVKlwlCBJ3DDFmw/szooqhWCoq2XvfpFOTLTHLpQC6E5RVS3e/2/Ka7OGWnbwc3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6aecbc7e0efcd4b358892cb3b597bd38c6b57a2243d76a9e6eb96708d10ea8ca","last_reissued_at":"2026-07-05T07:08:46.979694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:46.979694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.01900","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:08:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"itGdRHK7nJhPXw9/h/yw+PjDUJ+HnGJtpFrUQj/8B9728u3pjBP7UEsbS3KGH66A684WBzH195V6sXBYfRzJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:53:31.071871Z"},"content_sha256":"9c7ec371bd8c47e11cd55312803528178b74e62ce2f3b7dc4d80da7d7a0227a8","schema_version":"1.0","event_id":"sha256:9c7ec371bd8c47e11cd55312803528178b74e62ce2f3b7dc4d80da7d7a0227a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NLWLY7QO7TKLGWEJFSZ3LF55HD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis","submitted_at":"2023-11-03T13:20:11Z","abstract_excerpt":"Quantifying the difference between two probability density functions, $p$ and $q$, using available data, is a fundamental problem in Statistics and Machine Learning. A usual approach for addressing this problem is the likelihood-ratio estimation (LRE) between $p$ and $q$, which -- to our best knowledge -- has been investigated mainly for the offline case. This paper contributes by introducing a new framework for online non-parametric LRE (OLRE) for the setting where pairs of iid observations $(x_t \\sim p, x'_t \\sim q)$ are observed over time. The non-parametric nature of our approach has the a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01900","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.01900/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:08:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BhgSy0YL0hU6uX7gO7NlnyfzpUpkcz4QNLY8ktC1STuGz9+3Df4trjAvZbcgHXV5xOO5WtKvk7jFUne8gEMwCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:53:31.072883Z"},"content_sha256":"3bdd8deb3d2da41f40b27ad63740565940b1347dbe175c887c80a59832eb28f2","schema_version":"1.0","event_id":"sha256:3bdd8deb3d2da41f40b27ad63740565940b1347dbe175c887c80a59832eb28f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD/bundle.json","state_url":"https://pith.science/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-14T13:53:31Z","links":{"resolver":"https://pith.science/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD","bundle":"https://pith.science/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD/bundle.json","state":"https://pith.science/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NLWLY7QO7TKLGWEJFSZ3LF55HD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NLWLY7QO7TKLGWEJFSZ3LF55HD","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":"212318f70db3c8ed0978e0bf7ca98dd4b0c33365f2f870602f6e3f43f5ea2654","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-11-03T13:20:11Z","title_canon_sha256":"5e78ada946a986c071cd6f6b8e59f0ecf52e44a6efd9fe4c78e7786358172d1d"},"schema_version":"1.0","source":{"id":"2311.01900","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01900","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01900v1","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01900","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"pith_short_12","alias_value":"NLWLY7QO7TKL","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"pith_short_16","alias_value":"NLWLY7QO7TKLGWEJ","created_at":"2026-07-05T07:08:46Z"},{"alias_kind":"pith_short_8","alias_value":"NLWLY7QO","created_at":"2026-07-05T07:08:46Z"}],"graph_snapshots":[{"event_id":"sha256:3bdd8deb3d2da41f40b27ad63740565940b1347dbe175c887c80a59832eb28f2","target":"graph","created_at":"2026-07-05T07:08:46Z","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/2311.01900/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantifying the difference between two probability density functions, $p$ and $q$, using available data, is a fundamental problem in Statistics and Machine Learning. A usual approach for addressing this problem is the likelihood-ratio estimation (LRE) between $p$ and $q$, which -- to our best knowledge -- has been investigated mainly for the offline case. This paper contributes by introducing a new framework for online non-parametric LRE (OLRE) for the setting where pairs of iid observations $(x_t \\sim p, x'_t \\sim q)$ are observed over time. The non-parametric nature of our approach has the a","authors_text":"Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-11-03T13:20:11Z","title":"Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01900","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":"sha256:9c7ec371bd8c47e11cd55312803528178b74e62ce2f3b7dc4d80da7d7a0227a8","target":"record","created_at":"2026-07-05T07:08:46Z","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":"212318f70db3c8ed0978e0bf7ca98dd4b0c33365f2f870602f6e3f43f5ea2654","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-11-03T13:20:11Z","title_canon_sha256":"5e78ada946a986c071cd6f6b8e59f0ecf52e44a6efd9fe4c78e7786358172d1d"},"schema_version":"1.0","source":{"id":"2311.01900","kind":"arxiv","version":1}},"canonical_sha256":"6aecbc7e0efcd4b358892cb3b597bd38c6b57a2243d76a9e6eb96708d10ea8ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6aecbc7e0efcd4b358892cb3b597bd38c6b57a2243d76a9e6eb96708d10ea8ca","first_computed_at":"2026-07-05T07:08:46.979694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:46.979694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QagcH3SIkHfzqwyghzQw8kVKlwlCBJ3DDFmw/szooqhWCoq2XvfpFOTLTHLpQC6E5RVS3e/2/Ka7OGWnbwc3AA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:46.980215Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01900","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c7ec371bd8c47e11cd55312803528178b74e62ce2f3b7dc4d80da7d7a0227a8","sha256:3bdd8deb3d2da41f40b27ad63740565940b1347dbe175c887c80a59832eb28f2"],"state_sha256":"11cf01ef5cab10715f1165cc499aa056fd77d67ac8a42a19ff9aa6ca1f1c4d6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ouQ6ZcjVFXdiEM14wTkiInmG3hCbB+3Oe95thAv/aj3276Z/ycwP9gP/I493DFWkRVsDRwu3xIX2+HV9uRQsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T13:53:31.079167Z","bundle_sha256":"e188aff283ee85ac3520c9bf55553234498f037669cfdddda73c4e011bf5240a"}}