{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MGKIW3DZULJGZQ6TF27C33TYVZ","short_pith_number":"pith:MGKIW3DZ","canonical_record":{"source":{"id":"2106.02866","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-05T10:51:26Z","cross_cats_sorted":[],"title_canon_sha256":"eb52dde91e6a6ae1088429bb284adb0f6c11490d6aace22e386514a11870d33b","abstract_canon_sha256":"5404d894a21e2aebecb12b7fbb4b6830d534d58be7058161498b498ba26d85cc"},"schema_version":"1.0"},"canonical_sha256":"61948b6c79a2d26cc3d32ebe2dee78ae6b91260e0e25891c736779ca8307fe58","source":{"kind":"arxiv","id":"2106.02866","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.02866","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"arxiv_version","alias_value":"2106.02866v2","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.02866","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"pith_short_12","alias_value":"MGKIW3DZULJG","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"pith_short_16","alias_value":"MGKIW3DZULJGZQ6T","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"pith_short_8","alias_value":"MGKIW3DZ","created_at":"2026-07-05T04:35:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MGKIW3DZULJGZQ6TF27C33TYVZ","target":"record","payload":{"canonical_record":{"source":{"id":"2106.02866","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-05T10:51:26Z","cross_cats_sorted":[],"title_canon_sha256":"eb52dde91e6a6ae1088429bb284adb0f6c11490d6aace22e386514a11870d33b","abstract_canon_sha256":"5404d894a21e2aebecb12b7fbb4b6830d534d58be7058161498b498ba26d85cc"},"schema_version":"1.0"},"canonical_sha256":"61948b6c79a2d26cc3d32ebe2dee78ae6b91260e0e25891c736779ca8307fe58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:35:08.520740Z","signature_b64":"OQXYeWmsByWx9o2pIzaqbmLyZIRzoWUa8/K9I5xF+dRaAif/A0RrzM/dJ6MvX86fZmRj0v3zp0VqugjCqAooCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61948b6c79a2d26cc3d32ebe2dee78ae6b91260e0e25891c736779ca8307fe58","last_reissued_at":"2026-07-05T04:35:08.520142Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:35:08.520142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.02866","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":"2026-07-05T04:35:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Avy6MuNpShew8ArxvmY5AkYrVlzrqJcpzej/JYlC+2ZpWMiM+lpIjQmmaiSvFCmVllBWYjkLAzgyjqzcp8lQAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:28:02.914607Z"},"content_sha256":"8a862ed7601beb1e1d8565e6707974b9ae8af37d7985ffc37fdb76c2d4f8af5f","schema_version":"1.0","event_id":"sha256:8a862ed7601beb1e1d8565e6707974b9ae8af37d7985ffc37fdb76c2d4f8af5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MGKIW3DZULJGZQ6TF27C33TYVZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Han Zhao, Kun Zhang, Louis-Philippe Morency, Martin Q. Ma, Paul Pu Liang, Ruslan Salakhutdinov, Yao-Hung Hubert Tsai","submitted_at":"2021-06-05T10:51:26Z","abstract_excerpt":"Contrastive self-supervised learning (SSL) learns an embedding space that maps similar data pairs closer and dissimilar data pairs farther apart. Despite its success, one issue has been overlooked: the fairness aspect of representations learned using contrastive SSL. Without mitigation, contrastive SSL techniques can incorporate sensitive information such as gender or race and cause potentially unfair predictions on downstream tasks. In this paper, we propose a Conditional Contrastive Learning (CCL) approach to improve the fairness of contrastive SSL methods. Our approach samples positive and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.02866","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/2106.02866/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":"2026-07-05T04:35:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HipKEb1sMUYg12dxxhHo0UElzE1+0/dWF0d62apdpVTKXF7YLS8actbt7MKMj/BQniHq6F3SoWIg05JsckheCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:28:02.915129Z"},"content_sha256":"536f407bde5ce063447147c53efc0fbb69b4e6ff529b129003a58c6cc6cb5de8","schema_version":"1.0","event_id":"sha256:536f407bde5ce063447147c53efc0fbb69b4e6ff529b129003a58c6cc6cb5de8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MGKIW3DZULJGZQ6TF27C33TYVZ/bundle.json","state_url":"https://pith.science/pith/MGKIW3DZULJGZQ6TF27C33TYVZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MGKIW3DZULJGZQ6TF27C33TYVZ/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":"2026-08-09T07:28:02Z","links":{"resolver":"https://pith.science/pith/MGKIW3DZULJGZQ6TF27C33TYVZ","bundle":"https://pith.science/pith/MGKIW3DZULJGZQ6TF27C33TYVZ/bundle.json","state":"https://pith.science/pith/MGKIW3DZULJGZQ6TF27C33TYVZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MGKIW3DZULJGZQ6TF27C33TYVZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MGKIW3DZULJGZQ6TF27C33TYVZ","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":"5404d894a21e2aebecb12b7fbb4b6830d534d58be7058161498b498ba26d85cc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-05T10:51:26Z","title_canon_sha256":"eb52dde91e6a6ae1088429bb284adb0f6c11490d6aace22e386514a11870d33b"},"schema_version":"1.0","source":{"id":"2106.02866","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.02866","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"arxiv_version","alias_value":"2106.02866v2","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.02866","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"pith_short_12","alias_value":"MGKIW3DZULJG","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"pith_short_16","alias_value":"MGKIW3DZULJGZQ6T","created_at":"2026-07-05T04:35:08Z"},{"alias_kind":"pith_short_8","alias_value":"MGKIW3DZ","created_at":"2026-07-05T04:35:08Z"}],"graph_snapshots":[{"event_id":"sha256:536f407bde5ce063447147c53efc0fbb69b4e6ff529b129003a58c6cc6cb5de8","target":"graph","created_at":"2026-07-05T04:35:08Z","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/2106.02866/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive self-supervised learning (SSL) learns an embedding space that maps similar data pairs closer and dissimilar data pairs farther apart. Despite its success, one issue has been overlooked: the fairness aspect of representations learned using contrastive SSL. Without mitigation, contrastive SSL techniques can incorporate sensitive information such as gender or race and cause potentially unfair predictions on downstream tasks. In this paper, we propose a Conditional Contrastive Learning (CCL) approach to improve the fairness of contrastive SSL methods. Our approach samples positive and ","authors_text":"Han Zhao, Kun Zhang, Louis-Philippe Morency, Martin Q. Ma, Paul Pu Liang, Ruslan Salakhutdinov, Yao-Hung Hubert Tsai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-05T10:51:26Z","title":"Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.02866","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":"sha256:8a862ed7601beb1e1d8565e6707974b9ae8af37d7985ffc37fdb76c2d4f8af5f","target":"record","created_at":"2026-07-05T04:35:08Z","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":"5404d894a21e2aebecb12b7fbb4b6830d534d58be7058161498b498ba26d85cc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-05T10:51:26Z","title_canon_sha256":"eb52dde91e6a6ae1088429bb284adb0f6c11490d6aace22e386514a11870d33b"},"schema_version":"1.0","source":{"id":"2106.02866","kind":"arxiv","version":2}},"canonical_sha256":"61948b6c79a2d26cc3d32ebe2dee78ae6b91260e0e25891c736779ca8307fe58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61948b6c79a2d26cc3d32ebe2dee78ae6b91260e0e25891c736779ca8307fe58","first_computed_at":"2026-07-05T04:35:08.520142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:35:08.520142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OQXYeWmsByWx9o2pIzaqbmLyZIRzoWUa8/K9I5xF+dRaAif/A0RrzM/dJ6MvX86fZmRj0v3zp0VqugjCqAooCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:35:08.520740Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.02866","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a862ed7601beb1e1d8565e6707974b9ae8af37d7985ffc37fdb76c2d4f8af5f","sha256:536f407bde5ce063447147c53efc0fbb69b4e6ff529b129003a58c6cc6cb5de8"],"state_sha256":"fac6475f1d80b2e6cad7d0ffbbe3aa757547382ab3db59ef165a756ecde8290a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qmKLJCHqHLbqK0igqcEvowhujwNQU1f2uDUaU9bU9rAoWEoE+eUIv3aIWnG+bA+qQxW1Z8CGZ5flDMoYlCLLDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:28:02.919061Z","bundle_sha256":"3959549bdbe29599d289b89a5e967b1002b84df9bb5e5d82ff332c2e9af3a2fd"}}