{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:QTJPDOK37PIDRLMA5YWGX6WS5D","short_pith_number":"pith:QTJPDOK3","schema_version":"1.0","canonical_sha256":"84d2f1b95bfbd038ad80ee2c6bfad2e8c4c131f096d8cbb42d2a4aad0c566148","source":{"kind":"arxiv","id":"1906.04312","version":1},"attestation_state":"computed","paper":{"title":"Online Object Representations with Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Corey Lynch, Mohi Khansari, Pierre Sermanet, S\\\"oren Pirk, Yunfei Bai","submitted_at":"2019-06-10T22:43:20Z","abstract_excerpt":"We propose a self-supervised approach for learning representations of objects from monocular videos and demonstrate it is particularly useful in situated settings such as robotics. The main contributions of this paper are: 1) a self-supervising objective trained with contrastive learning that can discover and disentangle object attributes from video without using any labels; 2) we leverage object self-supervision for online adaptation: the longer our online model looks at objects in a video, the lower the object identification error, while the offline baseline remains with a large fixed error;"},"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":"1906.04312","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T22:43:20Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"84fc0cc9710cb694088a5f6a2ccf27e9addf15bbf5518491e684bf1d0aa11f0f","abstract_canon_sha256":"3836811947d48307459fe53e69bcf7e42d702de2eb8e1934547fc999af8dff86"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:39.676746Z","signature_b64":"XvNcsQwhyg/xFSsA7C7QvDyVC87QG3gEF/gRDCGn6bq18eiN8FCAm/1wTd707D4hqUQOsYQpxJyjakep1Fi5CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84d2f1b95bfbd038ad80ee2c6bfad2e8c4c131f096d8cbb42d2a4aad0c566148","last_reissued_at":"2026-05-17T23:43:39.676122Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:39.676122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Online Object Representations with Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Corey Lynch, Mohi Khansari, Pierre Sermanet, S\\\"oren Pirk, Yunfei Bai","submitted_at":"2019-06-10T22:43:20Z","abstract_excerpt":"We propose a self-supervised approach for learning representations of objects from monocular videos and demonstrate it is particularly useful in situated settings such as robotics. The main contributions of this paper are: 1) a self-supervising objective trained with contrastive learning that can discover and disentangle object attributes from video without using any labels; 2) we leverage object self-supervision for online adaptation: the longer our online model looks at objects in a video, the lower the object identification error, while the offline baseline remains with a large fixed error;"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04312","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":""},"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":"1906.04312","created_at":"2026-05-17T23:43:39.676212+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.04312v1","created_at":"2026-05-17T23:43:39.676212+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04312","created_at":"2026-05-17T23:43:39.676212+00:00"},{"alias_kind":"pith_short_12","alias_value":"QTJPDOK37PID","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"QTJPDOK37PIDRLMA","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"QTJPDOK3","created_at":"2026-05-18T12:33:27.125529+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/QTJPDOK37PIDRLMA5YWGX6WS5D","json":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D.json","graph_json":"https://pith.science/api/pith-number/QTJPDOK37PIDRLMA5YWGX6WS5D/graph.json","events_json":"https://pith.science/api/pith-number/QTJPDOK37PIDRLMA5YWGX6WS5D/events.json","paper":"https://pith.science/paper/QTJPDOK3"},"agent_actions":{"view_html":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D","download_json":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D.json","view_paper":"https://pith.science/paper/QTJPDOK3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.04312&json=true","fetch_graph":"https://pith.science/api/pith-number/QTJPDOK37PIDRLMA5YWGX6WS5D/graph.json","fetch_events":"https://pith.science/api/pith-number/QTJPDOK37PIDRLMA5YWGX6WS5D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D/action/storage_attestation","attest_author":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D/action/author_attestation","sign_citation":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D/action/citation_signature","submit_replication":"https://pith.science/pith/QTJPDOK37PIDRLMA5YWGX6WS5D/action/replication_record"}},"created_at":"2026-05-17T23:43:39.676212+00:00","updated_at":"2026-05-17T23:43:39.676212+00:00"}