{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:FAGNLDTTJAQLH6URVNBNCEZPI5","short_pith_number":"pith:FAGNLDTT","schema_version":"1.0","canonical_sha256":"280cd58e734820b3fa91ab42d1132f4775ed60ac36c90df55f38109156db5710","source":{"kind":"arxiv","id":"2211.01796","version":1},"attestation_state":"computed","paper":{"title":"Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chang Liu, Qixiang Ye, Weiping Wang, Xiangyang Ji, Yifei Zhang, Yu Zhou","submitted_at":"2022-11-02T03:25:28Z","abstract_excerpt":"Contrastive self-supervised learning (CSL) based on instance discrimination typically attracts positive samples while repelling negatives to learn representations with pre-defined binary self-supervision. However, vanilla CSL is inadequate in modeling sophisticated instance relations, limiting the learned model to retain fine semantic structure. On the one hand, samples with the same semantic category are inevitably pushed away as negatives. On the other hand, differences among samples cannot be captured. In this paper, we present relation-aware contrastive self-supervised learning (ReCo) to i"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2211.01796","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-02T03:25:28Z","cross_cats_sorted":[],"title_canon_sha256":"f6a6bab461829b94f68fe5f3db13b99f44a332ceee88a17b4083108f38bc35df","abstract_canon_sha256":"6cfe4860bf53d489ec8e7a3b5a19b398ec4e4d2cd1ef2527bc0affe2d0381896"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:13:00.065942Z","signature_b64":"D1IkbowreNTDFCFAOlTpmn1CGPer/0ybTRwtUGYWv8HWn6AHeEe2OEM8Ed0CLKoA/u8UN4C63AwpLYxW1BzmBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"280cd58e734820b3fa91ab42d1132f4775ed60ac36c90df55f38109156db5710","last_reissued_at":"2026-07-05T05:13:00.065591Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:13:00.065591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chang Liu, Qixiang Ye, Weiping Wang, Xiangyang Ji, Yifei Zhang, Yu Zhou","submitted_at":"2022-11-02T03:25:28Z","abstract_excerpt":"Contrastive self-supervised learning (CSL) based on instance discrimination typically attracts positive samples while repelling negatives to learn representations with pre-defined binary self-supervision. However, vanilla CSL is inadequate in modeling sophisticated instance relations, limiting the learned model to retain fine semantic structure. On the one hand, samples with the same semantic category are inevitably pushed away as negatives. On the other hand, differences among samples cannot be captured. In this paper, we present relation-aware contrastive self-supervised learning (ReCo) to i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01796","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/2211.01796/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2211.01796","created_at":"2026-07-05T05:13:00.065649+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.01796v1","created_at":"2026-07-05T05:13:00.065649+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01796","created_at":"2026-07-05T05:13:00.065649+00:00"},{"alias_kind":"pith_short_12","alias_value":"FAGNLDTTJAQL","created_at":"2026-07-05T05:13:00.065649+00:00"},{"alias_kind":"pith_short_16","alias_value":"FAGNLDTTJAQLH6UR","created_at":"2026-07-05T05:13:00.065649+00:00"},{"alias_kind":"pith_short_8","alias_value":"FAGNLDTT","created_at":"2026-07-05T05:13:00.065649+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5","json":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5.json","graph_json":"https://pith.science/api/pith-number/FAGNLDTTJAQLH6URVNBNCEZPI5/graph.json","events_json":"https://pith.science/api/pith-number/FAGNLDTTJAQLH6URVNBNCEZPI5/events.json","paper":"https://pith.science/paper/FAGNLDTT"},"agent_actions":{"view_html":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5","download_json":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5.json","view_paper":"https://pith.science/paper/FAGNLDTT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.01796&json=true","fetch_graph":"https://pith.science/api/pith-number/FAGNLDTTJAQLH6URVNBNCEZPI5/graph.json","fetch_events":"https://pith.science/api/pith-number/FAGNLDTTJAQLH6URVNBNCEZPI5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5/action/storage_attestation","attest_author":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5/action/author_attestation","sign_citation":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5/action/citation_signature","submit_replication":"https://pith.science/pith/FAGNLDTTJAQLH6URVNBNCEZPI5/action/replication_record"}},"created_at":"2026-07-05T05:13:00.065649+00:00","updated_at":"2026-07-05T05:13:00.065649+00:00"}