{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MCEPMF7G4W5OHAG4DH5QTVUTK2","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":"a74195e00912e4c481c77ee8b81256a211d45def4dfb85b39efd2cadcffbb9b3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-11T08:18:30Z","title_canon_sha256":"fa0c28615a4f4ba7b1685fbc0a2044e050bda3d68c3bb5441642e6af6b0e4a18"},"schema_version":"1.0","source":{"id":"2401.05730","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.05730","created_at":"2026-07-05T07:32:34Z"},{"alias_kind":"arxiv_version","alias_value":"2401.05730v1","created_at":"2026-07-05T07:32:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.05730","created_at":"2026-07-05T07:32:34Z"},{"alias_kind":"pith_short_12","alias_value":"MCEPMF7G4W5O","created_at":"2026-07-05T07:32:34Z"},{"alias_kind":"pith_short_16","alias_value":"MCEPMF7G4W5OHAG4","created_at":"2026-07-05T07:32:34Z"},{"alias_kind":"pith_short_8","alias_value":"MCEPMF7G","created_at":"2026-07-05T07:32:34Z"}],"graph_snapshots":[{"event_id":"sha256:c328e59b3a40b2ac7b1e260447e34c574656148f7da753388689c8e0f339b5d7","target":"graph","created_at":"2026-07-05T07:32:34Z","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/2401.05730/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the past few years, contrastive learning has played a central role for the success of visual unsupervised representation learning. Around the same time, high-performance non-contrastive learning methods have been developed as well. While most of the works utilize only two views, we carefully review the existing multi-view methods and propose a general multi-view strategy that can improve learning speed and performance of any contrastive or non-contrastive method. We first analyze CMC's full-graph paradigm and empirically show that the learning speed of $K$-views can be increased by $_{K}\\ma","authors_text":"Duhun Hwang, Eunjung Lee, Jaeill Kim, Jangwon Suh, Jimyeong Kim, Wonjong Rhee","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-11T08:18:30Z","title":"Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.05730","kind":"arxiv","version":1},"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:e978305be8dc595e472b90cd78ef3d0ade6a5fad35bf51af4d50248c251be795","target":"record","created_at":"2026-07-05T07:32:34Z","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":"a74195e00912e4c481c77ee8b81256a211d45def4dfb85b39efd2cadcffbb9b3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-11T08:18:30Z","title_canon_sha256":"fa0c28615a4f4ba7b1685fbc0a2044e050bda3d68c3bb5441642e6af6b0e4a18"},"schema_version":"1.0","source":{"id":"2401.05730","kind":"arxiv","version":1}},"canonical_sha256":"6088f617e6e5bae380dc19fb09d69356af171a31a22abad22f06b90c021aafc0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6088f617e6e5bae380dc19fb09d69356af171a31a22abad22f06b90c021aafc0","first_computed_at":"2026-07-05T07:32:34.627899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:32:34.627899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Tx6RBn0s+yy3dXLtofVCrYF5ceJ/MhPVEaeX96SVUOUpxxPZJ4oeqMjotl5ABFPDHO8P1R5SW9YAgE7tEtUNDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:32:34.628363Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.05730","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e978305be8dc595e472b90cd78ef3d0ade6a5fad35bf51af4d50248c251be795","sha256:c328e59b3a40b2ac7b1e260447e34c574656148f7da753388689c8e0f339b5d7"],"state_sha256":"932a9fbd84aa6e66aa0d59f26eb2e9f583cb34c7a8e46873950d5f2542c21c0e"}