{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:EYD4ANBSOMZGQ5MAYUPYENZBPZ","short_pith_number":"pith:EYD4ANBS","canonical_record":{"source":{"id":"2011.02578","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-04T23:33:41Z","cross_cats_sorted":[],"title_canon_sha256":"49e47128f403da744aee2aaf39bb975298a0ce2934a175fe4b569ea93ec79546","abstract_canon_sha256":"31f064cbd12e697d6da0dbebee73659d3f6dead16a75f0177fd89d2fc56b7ca1"},"schema_version":"1.0"},"canonical_sha256":"2607c034327332687580c51f8237217e50670d63c47ef62a0ae2b7de9de9fa97","source":{"kind":"arxiv","id":"2011.02578","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.02578","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"arxiv_version","alias_value":"2011.02578v2","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.02578","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"pith_short_12","alias_value":"EYD4ANBSOMZG","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"pith_short_16","alias_value":"EYD4ANBSOMZGQ5MA","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"pith_short_8","alias_value":"EYD4ANBS","created_at":"2026-07-05T02:26:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:EYD4ANBSOMZGQ5MAYUPYENZBPZ","target":"record","payload":{"canonical_record":{"source":{"id":"2011.02578","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-04T23:33:41Z","cross_cats_sorted":[],"title_canon_sha256":"49e47128f403da744aee2aaf39bb975298a0ce2934a175fe4b569ea93ec79546","abstract_canon_sha256":"31f064cbd12e697d6da0dbebee73659d3f6dead16a75f0177fd89d2fc56b7ca1"},"schema_version":"1.0"},"canonical_sha256":"2607c034327332687580c51f8237217e50670d63c47ef62a0ae2b7de9de9fa97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:26:28.027840Z","signature_b64":"2eSlfMU/ZqrnXaP+KO1xY44l6y++TcRkKIM4TFsHhApbA04ngfSFb76An+2A+2EDrR2zhMM/LENvqHyaVyy5Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2607c034327332687580c51f8237217e50670d63c47ef62a0ae2b7de9de9fa97","last_reissued_at":"2026-07-05T02:26:28.027414Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:26:28.027414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.02578","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":"2026-07-05T02:26:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qum18C+i9YnSAgZz/vGYsYSCRFlyrJ/kDzOmf1WH98hFFz4mIXp05m1KQJxk2bEYpzb5uttKoiyI/ScbK2HGAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:22:19.424410Z"},"content_sha256":"ab0a0059ab30ef04a8407a9138a6931e474c3f7ad7331301974b6915f06c8f77","schema_version":"1.0","event_id":"sha256:ab0a0059ab30ef04a8407a9138a6931e474c3f7ad7331301974b6915f06c8f77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:EYD4ANBSOMZGQ5MAYUPYENZBPZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning and Evaluating Representations for Deep One-class Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chun-Liang Li, Jinsung Yoon, Kihyuk Sohn, Minho Jin, Tomas Pfister","submitted_at":"2020-11-04T23:33:41Z","abstract_excerpt":"We present a two-stage framework for deep one-class classification. We first learn self-supervised representations from one-class data, and then build one-class classifiers on learned representations. The framework not only allows to learn better representations, but also permits building one-class classifiers that are faithful to the target task. We argue that classifiers inspired by the statistical perspective in generative or discriminative models are more effective than existing approaches, such as a normality score from a surrogate classifier. We thoroughly evaluate different self-supervi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.02578","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/2011.02578/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":"2026-07-05T02:26:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9X1/oKxILr6oH5cn5hlupMkdReDYwyD9WI29KqNYAOLG+bDYAfGb6FQhHrsiab8OwovqxRdEiGDxjNAC99ZuDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:22:19.424923Z"},"content_sha256":"2d467a3b714a45bff064255a0c3a07008030e2650d32c8003b8ed39c0c4e0a50","schema_version":"1.0","event_id":"sha256:2d467a3b714a45bff064255a0c3a07008030e2650d32c8003b8ed39c0c4e0a50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ/bundle.json","state_url":"https://pith.science/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ/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":"2026-08-08T16:22:19Z","links":{"resolver":"https://pith.science/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ","bundle":"https://pith.science/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ/bundle.json","state":"https://pith.science/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EYD4ANBSOMZGQ5MAYUPYENZBPZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:EYD4ANBSOMZGQ5MAYUPYENZBPZ","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":"31f064cbd12e697d6da0dbebee73659d3f6dead16a75f0177fd89d2fc56b7ca1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-04T23:33:41Z","title_canon_sha256":"49e47128f403da744aee2aaf39bb975298a0ce2934a175fe4b569ea93ec79546"},"schema_version":"1.0","source":{"id":"2011.02578","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.02578","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"arxiv_version","alias_value":"2011.02578v2","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.02578","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"pith_short_12","alias_value":"EYD4ANBSOMZG","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"pith_short_16","alias_value":"EYD4ANBSOMZGQ5MA","created_at":"2026-07-05T02:26:28Z"},{"alias_kind":"pith_short_8","alias_value":"EYD4ANBS","created_at":"2026-07-05T02:26:28Z"}],"graph_snapshots":[{"event_id":"sha256:2d467a3b714a45bff064255a0c3a07008030e2650d32c8003b8ed39c0c4e0a50","target":"graph","created_at":"2026-07-05T02:26:28Z","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/2011.02578/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a two-stage framework for deep one-class classification. We first learn self-supervised representations from one-class data, and then build one-class classifiers on learned representations. The framework not only allows to learn better representations, but also permits building one-class classifiers that are faithful to the target task. We argue that classifiers inspired by the statistical perspective in generative or discriminative models are more effective than existing approaches, such as a normality score from a surrogate classifier. We thoroughly evaluate different self-supervi","authors_text":"Chun-Liang Li, Jinsung Yoon, Kihyuk Sohn, Minho Jin, Tomas Pfister","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-04T23:33:41Z","title":"Learning and Evaluating Representations for Deep One-class Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.02578","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:ab0a0059ab30ef04a8407a9138a6931e474c3f7ad7331301974b6915f06c8f77","target":"record","created_at":"2026-07-05T02:26:28Z","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":"31f064cbd12e697d6da0dbebee73659d3f6dead16a75f0177fd89d2fc56b7ca1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-04T23:33:41Z","title_canon_sha256":"49e47128f403da744aee2aaf39bb975298a0ce2934a175fe4b569ea93ec79546"},"schema_version":"1.0","source":{"id":"2011.02578","kind":"arxiv","version":2}},"canonical_sha256":"2607c034327332687580c51f8237217e50670d63c47ef62a0ae2b7de9de9fa97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2607c034327332687580c51f8237217e50670d63c47ef62a0ae2b7de9de9fa97","first_computed_at":"2026-07-05T02:26:28.027414Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:26:28.027414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2eSlfMU/ZqrnXaP+KO1xY44l6y++TcRkKIM4TFsHhApbA04ngfSFb76An+2A+2EDrR2zhMM/LENvqHyaVyy5Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:26:28.027840Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.02578","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab0a0059ab30ef04a8407a9138a6931e474c3f7ad7331301974b6915f06c8f77","sha256:2d467a3b714a45bff064255a0c3a07008030e2650d32c8003b8ed39c0c4e0a50"],"state_sha256":"8657450ce1d515e0568408e19da94eb50ada6a10296021ded4a1f34b1583b744"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uDrbXvF1eV4dgdRJWc8nQfG2T0Qc5Txpk0YpKqktwDC4Sk+Nuz275eIgZ+eJmp7t2mjBOl0CJNDXb9Zbhcj/Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:22:19.430032Z","bundle_sha256":"876ee19f4c386b03791d286486d6f234dc6dea673f5335d14541d3a44c4a2ad5"}}