{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HOUUNOAL5ACGTLM4Z5JBNC4I56","short_pith_number":"pith:HOUUNOAL","canonical_record":{"source":{"id":"2403.09502","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-14T15:44:19Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"965b3e5b5b87360c8215009b4ce6295ecafbc5fbf7c305715c6876b1a2389d51","abstract_canon_sha256":"ac7637742d5478596be3ed76421b6e47a54823880adc11e8c9407ced0da608b1"},"schema_version":"1.0"},"canonical_sha256":"3ba946b80be80469ad9ccf52168b88efa95d72ecfcdf58c06d992229fa158253","source":{"kind":"arxiv","id":"2403.09502","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09502","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09502v2","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09502","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"pith_short_12","alias_value":"HOUUNOAL5ACG","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"pith_short_16","alias_value":"HOUUNOAL5ACGTLM4","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"pith_short_8","alias_value":"HOUUNOAL","created_at":"2026-07-05T08:34:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HOUUNOAL5ACGTLM4Z5JBNC4I56","target":"record","payload":{"canonical_record":{"source":{"id":"2403.09502","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-14T15:44:19Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"965b3e5b5b87360c8215009b4ce6295ecafbc5fbf7c305715c6876b1a2389d51","abstract_canon_sha256":"ac7637742d5478596be3ed76421b6e47a54823880adc11e8c9407ced0da608b1"},"schema_version":"1.0"},"canonical_sha256":"3ba946b80be80469ad9ccf52168b88efa95d72ecfcdf58c06d992229fa158253","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:15.448721Z","signature_b64":"eqa2moEa5ENP4Q/efP/09HHM3ujCIIMUL7LQImM/FxiwBDUR4UfsTNNcp1flyQ6FS7Rpt7vUzG16qElgAYklBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ba946b80be80469ad9ccf52168b88efa95d72ecfcdf58c06d992229fa158253","last_reissued_at":"2026-07-05T08:34:15.448269Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:15.448269Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.09502","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":"2026-07-05T08:34:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CGZMuXQtJ+WPFEWaw7tDMFjxDYEnEiD/Laakhogd+3MK3mViTzkNaCDvpJddRjAcOA08I/wqwEuBaAXdGe/rCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:08:16.860764Z"},"content_sha256":"1b4a2102f5a79df537038276c40911ed642f835e512bcd40e972e6c755ab6b29","schema_version":"1.0","event_id":"sha256:1b4a2102f5a79df537038276c40911ed642f835e512bcd40e972e6c755ab6b29"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HOUUNOAL5ACGTLM4Z5JBNC4I56","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.LG","authors_text":"Hyeongkeun Lee, Jongsuk Kim, Joon Son Chung, Junmo Kim, Kyeongha Rho","submitted_at":"2024-03-14T15:44:19Z","abstract_excerpt":"Recent advancements in self-supervised audio-visual representation learning have demonstrated its potential to capture rich and comprehensive representations. However, despite the advantages of data augmentation verified in many learning methods, audio-visual learning has struggled to fully harness these benefits, as augmentations can easily disrupt the correspondence between input pairs. To address this limitation, we introduce EquiAV, a novel framework that leverages equivariance for audio-visual contrastive learning. Our approach begins with extending equivariance to audio-visual learning, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09502","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/2403.09502/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":"2026-07-05T08:34:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YQqY4ECFmPbF2gFSChn18xltZKcADi83DcHRH5oIVKV9oH0vShndrHE4dfN5aMR6+AXCcVnqXxQ2fGDRVnqiAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:08:16.861294Z"},"content_sha256":"2e65dd5af587081d1fa45e0bcbdeb0ca44603622bb04d0ecb3888f340f84d877","schema_version":"1.0","event_id":"sha256:2e65dd5af587081d1fa45e0bcbdeb0ca44603622bb04d0ecb3888f340f84d877"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56/bundle.json","state_url":"https://pith.science/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56/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":"2026-08-07T21:08:16Z","links":{"resolver":"https://pith.science/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56","bundle":"https://pith.science/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56/bundle.json","state":"https://pith.science/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HOUUNOAL5ACGTLM4Z5JBNC4I56/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HOUUNOAL5ACGTLM4Z5JBNC4I56","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":"ac7637742d5478596be3ed76421b6e47a54823880adc11e8c9407ced0da608b1","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-14T15:44:19Z","title_canon_sha256":"965b3e5b5b87360c8215009b4ce6295ecafbc5fbf7c305715c6876b1a2389d51"},"schema_version":"1.0","source":{"id":"2403.09502","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09502","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09502v2","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09502","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"pith_short_12","alias_value":"HOUUNOAL5ACG","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"pith_short_16","alias_value":"HOUUNOAL5ACGTLM4","created_at":"2026-07-05T08:34:15Z"},{"alias_kind":"pith_short_8","alias_value":"HOUUNOAL","created_at":"2026-07-05T08:34:15Z"}],"graph_snapshots":[{"event_id":"sha256:2e65dd5af587081d1fa45e0bcbdeb0ca44603622bb04d0ecb3888f340f84d877","target":"graph","created_at":"2026-07-05T08:34:15Z","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/2403.09502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in self-supervised audio-visual representation learning have demonstrated its potential to capture rich and comprehensive representations. However, despite the advantages of data augmentation verified in many learning methods, audio-visual learning has struggled to fully harness these benefits, as augmentations can easily disrupt the correspondence between input pairs. To address this limitation, we introduce EquiAV, a novel framework that leverages equivariance for audio-visual contrastive learning. Our approach begins with extending equivariance to audio-visual learning, ","authors_text":"Hyeongkeun Lee, Jongsuk Kim, Joon Son Chung, Junmo Kim, Kyeongha Rho","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-14T15:44:19Z","title":"EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09502","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":"sha256:1b4a2102f5a79df537038276c40911ed642f835e512bcd40e972e6c755ab6b29","target":"record","created_at":"2026-07-05T08:34:15Z","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":"ac7637742d5478596be3ed76421b6e47a54823880adc11e8c9407ced0da608b1","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-14T15:44:19Z","title_canon_sha256":"965b3e5b5b87360c8215009b4ce6295ecafbc5fbf7c305715c6876b1a2389d51"},"schema_version":"1.0","source":{"id":"2403.09502","kind":"arxiv","version":2}},"canonical_sha256":"3ba946b80be80469ad9ccf52168b88efa95d72ecfcdf58c06d992229fa158253","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ba946b80be80469ad9ccf52168b88efa95d72ecfcdf58c06d992229fa158253","first_computed_at":"2026-07-05T08:34:15.448269Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:15.448269Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eqa2moEa5ENP4Q/efP/09HHM3ujCIIMUL7LQImM/FxiwBDUR4UfsTNNcp1flyQ6FS7Rpt7vUzG16qElgAYklBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:15.448721Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09502","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b4a2102f5a79df537038276c40911ed642f835e512bcd40e972e6c755ab6b29","sha256:2e65dd5af587081d1fa45e0bcbdeb0ca44603622bb04d0ecb3888f340f84d877"],"state_sha256":"e79646eaedcaf87ec56dc6320ca19cd0493767d22fe31ce5e7efff1c9621aa38"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FF8vPhg9ems5Dde3bp+kfjmNwDx74Ks36wosRsZCTB4EMb5np01DwMWV71GwcTd/KTMbJWjWzehambm47XBLBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:08:16.866707Z","bundle_sha256":"f6c385f6dd97d0598283f2744987caaf186bc4926c362bd131b384b681eb3c2f"}}