{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:L2XM7JQUJRBSE5ZOO5YNELKS6K","short_pith_number":"pith:L2XM7JQU","canonical_record":{"source":{"id":"1911.11855","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-21T12:02:40Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"b8109ba2d3366dd2cd8a9541cd98e2a21e63b7a47fc405c910b6605a52e53ac2","abstract_canon_sha256":"5b96243e2ae1bd347b7094d5965639b8c22272eac13b08c8992cd65dcc8a96f2"},"schema_version":"1.0"},"canonical_sha256":"5eaecfa6144c4322772e7770d22d52f29e565940aa56cee788764a8c282af53f","source":{"kind":"arxiv","id":"1911.11855","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11855","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11855v2","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11855","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"pith_short_12","alias_value":"L2XM7JQUJRBS","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"pith_short_16","alias_value":"L2XM7JQUJRBSE5ZO","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"pith_short_8","alias_value":"L2XM7JQU","created_at":"2026-07-05T03:27:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:L2XM7JQUJRBSE5ZOO5YNELKS6K","target":"record","payload":{"canonical_record":{"source":{"id":"1911.11855","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-21T12:02:40Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"b8109ba2d3366dd2cd8a9541cd98e2a21e63b7a47fc405c910b6605a52e53ac2","abstract_canon_sha256":"5b96243e2ae1bd347b7094d5965639b8c22272eac13b08c8992cd65dcc8a96f2"},"schema_version":"1.0"},"canonical_sha256":"5eaecfa6144c4322772e7770d22d52f29e565940aa56cee788764a8c282af53f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:27:24.535764Z","signature_b64":"Hp+02F2sM9z4NKQUNcq1H0i56T1oWgdcIBiNLJBDgY5hOBWuWL+Z9wXiujVUpl1EpCtzxVJNTGgljiV4vpGABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5eaecfa6144c4322772e7770d22d52f29e565940aa56cee788764a8c282af53f","last_reissued_at":"2026-07-05T03:27:24.535237Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:27:24.535237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.11855","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:27:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qt7HYm/AQiB2dl6J/iISOCC9BeDBCwhH1kcoo1fFoDQNab18mC1RojRtTEfZw1QC9gn1QtTgOw2uDAajrTVgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:46:29.420751Z"},"content_sha256":"cb5242540047a97150816973bdcad460b44f06d42ed292e76d1016d6c3078751","schema_version":"1.0","event_id":"sha256:cb5242540047a97150816973bdcad460b44f06d42ed292e76d1016d6c3078751"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:L2XM7JQUJRBSE5ZOO5YNELKS6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Asymmetric Correntropy for Robust Adaptive Filtering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"eess.SP","authors_text":"Badong Chen, Pengju Ren, Yingsong Li, Yuqing Xie, Zhuang Li","submitted_at":"2019-11-21T12:02:40Z","abstract_excerpt":"In recent years, correntropy has been seccessfully applied to robust adaptive filtering to eliminate adverse effects of impulsive noises or outliers. Correntropy is generally defined as the expectation of a Gaussian kernel between two random variables. This definition is reasonable when the error between the two random variables is symmetrically distributed around zero. For the case of asymmetric error distribution, the symmetric Gaussian kernel is however inappropriate and cannot adapt to the error distribution well. To address this problem, in this brief we propose a new variant of correntro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11855","kind":"arxiv","version":2},"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/1911.11855/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":"2026-07-05T03:27:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gfxecwBub51RWH7k61StuRrAO9q/CdBvmIwbnsecsfnInAO3gcJ+twSF5s6sP7xjrjC5817LkpDqwMOtx0BzCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:46:29.421134Z"},"content_sha256":"6e164767bad22c7ec1c30f43b30cad467e5773065c4c6e6a5d29ab4ff90346dc","schema_version":"1.0","event_id":"sha256:6e164767bad22c7ec1c30f43b30cad467e5773065c4c6e6a5d29ab4ff90346dc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K/bundle.json","state_url":"https://pith.science/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K/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":"2026-07-07T14:46:29Z","links":{"resolver":"https://pith.science/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K","bundle":"https://pith.science/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K/bundle.json","state":"https://pith.science/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L2XM7JQUJRBSE5ZOO5YNELKS6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:L2XM7JQUJRBSE5ZOO5YNELKS6K","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":"5b96243e2ae1bd347b7094d5965639b8c22272eac13b08c8992cd65dcc8a96f2","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-21T12:02:40Z","title_canon_sha256":"b8109ba2d3366dd2cd8a9541cd98e2a21e63b7a47fc405c910b6605a52e53ac2"},"schema_version":"1.0","source":{"id":"1911.11855","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11855","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11855v2","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11855","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"pith_short_12","alias_value":"L2XM7JQUJRBS","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"pith_short_16","alias_value":"L2XM7JQUJRBSE5ZO","created_at":"2026-07-05T03:27:24Z"},{"alias_kind":"pith_short_8","alias_value":"L2XM7JQU","created_at":"2026-07-05T03:27:24Z"}],"graph_snapshots":[{"event_id":"sha256:6e164767bad22c7ec1c30f43b30cad467e5773065c4c6e6a5d29ab4ff90346dc","target":"graph","created_at":"2026-07-05T03:27:24Z","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/1911.11855/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, correntropy has been seccessfully applied to robust adaptive filtering to eliminate adverse effects of impulsive noises or outliers. Correntropy is generally defined as the expectation of a Gaussian kernel between two random variables. This definition is reasonable when the error between the two random variables is symmetrically distributed around zero. For the case of asymmetric error distribution, the symmetric Gaussian kernel is however inappropriate and cannot adapt to the error distribution well. To address this problem, in this brief we propose a new variant of correntro","authors_text":"Badong Chen, Pengju Ren, Yingsong Li, Yuqing Xie, Zhuang Li","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-21T12:02:40Z","title":"Asymmetric Correntropy for Robust Adaptive Filtering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11855","kind":"arxiv","version":2},"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:cb5242540047a97150816973bdcad460b44f06d42ed292e76d1016d6c3078751","target":"record","created_at":"2026-07-05T03:27:24Z","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":"5b96243e2ae1bd347b7094d5965639b8c22272eac13b08c8992cd65dcc8a96f2","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-21T12:02:40Z","title_canon_sha256":"b8109ba2d3366dd2cd8a9541cd98e2a21e63b7a47fc405c910b6605a52e53ac2"},"schema_version":"1.0","source":{"id":"1911.11855","kind":"arxiv","version":2}},"canonical_sha256":"5eaecfa6144c4322772e7770d22d52f29e565940aa56cee788764a8c282af53f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5eaecfa6144c4322772e7770d22d52f29e565940aa56cee788764a8c282af53f","first_computed_at":"2026-07-05T03:27:24.535237Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:27:24.535237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Hp+02F2sM9z4NKQUNcq1H0i56T1oWgdcIBiNLJBDgY5hOBWuWL+Z9wXiujVUpl1EpCtzxVJNTGgljiV4vpGABA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:27:24.535764Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.11855","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb5242540047a97150816973bdcad460b44f06d42ed292e76d1016d6c3078751","sha256:6e164767bad22c7ec1c30f43b30cad467e5773065c4c6e6a5d29ab4ff90346dc"],"state_sha256":"37f11221fa9b72355bdb6d4dd5a84a5c10d1c8275cf1dc14998d9537d76ae43d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qIKSlAL8WWm4E+BMaEiWV0q421R9/jjKZCmXIUH/yaorlRCKj5kdqIsekK1Ca2RqTChX2bkAo0p9ST1riognBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:46:29.423183Z","bundle_sha256":"1aa22ddf8a0af13fdb14b35ef06a376c42ccc866db147bc1f43a5528e116be97"}}