{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OABU25OR3HLNRAHL27D7G2TNVK","short_pith_number":"pith:OABU25OR","canonical_record":{"source":{"id":"2309.15938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2023-09-27T18:23:03Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"f2012a335c68d00a1c46cf27ad8b6080f0de5a3ae806e40c95f44395a4bbf91b","abstract_canon_sha256":"df61b26cd302a6c9a7609951b734890379731b36c35c2bb7c9eaef30b9a61af1"},"schema_version":"1.0"},"canonical_sha256":"70034d75d1d9d6d880ebd7c7f36a6daa90f57398c4e71510ddd7b5f68f0c9d99","source":{"kind":"arxiv","id":"2309.15938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.15938","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"arxiv_version","alias_value":"2309.15938v1","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.15938","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"pith_short_12","alias_value":"OABU25OR3HLN","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"pith_short_16","alias_value":"OABU25OR3HLNRAHL","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"pith_short_8","alias_value":"OABU25OR","created_at":"2026-07-05T06:55:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OABU25OR3HLNRAHL27D7G2TNVK","target":"record","payload":{"canonical_record":{"source":{"id":"2309.15938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2023-09-27T18:23:03Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"f2012a335c68d00a1c46cf27ad8b6080f0de5a3ae806e40c95f44395a4bbf91b","abstract_canon_sha256":"df61b26cd302a6c9a7609951b734890379731b36c35c2bb7c9eaef30b9a61af1"},"schema_version":"1.0"},"canonical_sha256":"70034d75d1d9d6d880ebd7c7f36a6daa90f57398c4e71510ddd7b5f68f0c9d99","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:08.949376Z","signature_b64":"O2gJP3qFT5fVB1XQupXMZcp91wbevums0rieAIn4lf0Lulx3Ruxg72RhyhScXuf4PRnRojrsH5ZMDn1MLr/cCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70034d75d1d9d6d880ebd7c7f36a6daa90f57398c4e71510ddd7b5f68f0c9d99","last_reissued_at":"2026-07-05T06:55:08.948887Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:08.948887Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.15938","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:55:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9uEhtoPW/SU/C8izO9RNSBaytnQkl9cQCPNgHEU8M/mRhhUfLKH0M7pGOBP2cpXz6TLtmSJtlzkJf3ti668GDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:32:57.250194Z"},"content_sha256":"da9df3c1ef8b73dad957a92f028b5fef1b1af3a6fef5907ff8af0fb49d301289","schema_version":"1.0","event_id":"sha256:da9df3c1ef8b73dad957a92f028b5fef1b1af3a6fef5907ff8af0fb49d301289"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OABU25OR3HLNRAHL27D7G2TNVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Self-Supervised Contrastive Learning of Spatial Sound Event Representation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Cong Han, Nima Mesgarani, Xilin Jiang, Yinghao Aaron Li","submitted_at":"2023-09-27T18:23:03Z","abstract_excerpt":"In this study, we present a simple multi-channel framework for contrastive learning (MC-SimCLR) to encode 'what' and 'where' of spatial audios. MC-SimCLR learns joint spectral and spatial representations from unlabeled spatial audios, thereby enhancing both event classification and sound localization in downstream tasks. At its core, we propose a multi-level data augmentation pipeline that augments different levels of audio features, including waveforms, Mel spectrograms, and generalized cross-correlation (GCC) features. In addition, we introduce simple yet effective channel-wise augmentation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.15938","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/2309.15938/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":"2026-07-05T06:55:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zs7tCEmks0fhYRwBdwo3Z+8FVMmLkdwTxjtDejBVEx930bl0ZaU0IcKs2N2DFtizPjl8c6yIO0MWEJYCqC0oCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:32:57.250713Z"},"content_sha256":"10d4d5def85d5a724fb73fd07fe8eab4c5254907727a2a19a508b909396cc9d2","schema_version":"1.0","event_id":"sha256:10d4d5def85d5a724fb73fd07fe8eab4c5254907727a2a19a508b909396cc9d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OABU25OR3HLNRAHL27D7G2TNVK/bundle.json","state_url":"https://pith.science/pith/OABU25OR3HLNRAHL27D7G2TNVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OABU25OR3HLNRAHL27D7G2TNVK/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":"2026-08-21T00:32:57Z","links":{"resolver":"https://pith.science/pith/OABU25OR3HLNRAHL27D7G2TNVK","bundle":"https://pith.science/pith/OABU25OR3HLNRAHL27D7G2TNVK/bundle.json","state":"https://pith.science/pith/OABU25OR3HLNRAHL27D7G2TNVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OABU25OR3HLNRAHL27D7G2TNVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OABU25OR3HLNRAHL27D7G2TNVK","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":"df61b26cd302a6c9a7609951b734890379731b36c35c2bb7c9eaef30b9a61af1","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2023-09-27T18:23:03Z","title_canon_sha256":"f2012a335c68d00a1c46cf27ad8b6080f0de5a3ae806e40c95f44395a4bbf91b"},"schema_version":"1.0","source":{"id":"2309.15938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.15938","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"arxiv_version","alias_value":"2309.15938v1","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.15938","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"pith_short_12","alias_value":"OABU25OR3HLN","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"pith_short_16","alias_value":"OABU25OR3HLNRAHL","created_at":"2026-07-05T06:55:08Z"},{"alias_kind":"pith_short_8","alias_value":"OABU25OR","created_at":"2026-07-05T06:55:08Z"}],"graph_snapshots":[{"event_id":"sha256:10d4d5def85d5a724fb73fd07fe8eab4c5254907727a2a19a508b909396cc9d2","target":"graph","created_at":"2026-07-05T06:55:08Z","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/2309.15938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we present a simple multi-channel framework for contrastive learning (MC-SimCLR) to encode 'what' and 'where' of spatial audios. MC-SimCLR learns joint spectral and spatial representations from unlabeled spatial audios, thereby enhancing both event classification and sound localization in downstream tasks. At its core, we propose a multi-level data augmentation pipeline that augments different levels of audio features, including waveforms, Mel spectrograms, and generalized cross-correlation (GCC) features. In addition, we introduce simple yet effective channel-wise augmentation ","authors_text":"Cong Han, Nima Mesgarani, Xilin Jiang, Yinghao Aaron Li","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2023-09-27T18:23:03Z","title":"Exploring Self-Supervised Contrastive Learning of Spatial Sound Event Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.15938","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:da9df3c1ef8b73dad957a92f028b5fef1b1af3a6fef5907ff8af0fb49d301289","target":"record","created_at":"2026-07-05T06:55:08Z","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":"df61b26cd302a6c9a7609951b734890379731b36c35c2bb7c9eaef30b9a61af1","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2023-09-27T18:23:03Z","title_canon_sha256":"f2012a335c68d00a1c46cf27ad8b6080f0de5a3ae806e40c95f44395a4bbf91b"},"schema_version":"1.0","source":{"id":"2309.15938","kind":"arxiv","version":1}},"canonical_sha256":"70034d75d1d9d6d880ebd7c7f36a6daa90f57398c4e71510ddd7b5f68f0c9d99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70034d75d1d9d6d880ebd7c7f36a6daa90f57398c4e71510ddd7b5f68f0c9d99","first_computed_at":"2026-07-05T06:55:08.948887Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:55:08.948887Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O2gJP3qFT5fVB1XQupXMZcp91wbevums0rieAIn4lf0Lulx3Ruxg72RhyhScXuf4PRnRojrsH5ZMDn1MLr/cCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:55:08.949376Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.15938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da9df3c1ef8b73dad957a92f028b5fef1b1af3a6fef5907ff8af0fb49d301289","sha256:10d4d5def85d5a724fb73fd07fe8eab4c5254907727a2a19a508b909396cc9d2"],"state_sha256":"029c22fd3137d85c20b501f719759df5f26e375a9216d47da1a62a008cb2dddf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2K25H0RuaE+9alP5y+7iim6Gqrq9tBdXhRL9v1tRa6r4V01qr3Evk/IcpfIIDtzBi+qv9PiQf1fOuvvrM2UmCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T00:32:57.255790Z","bundle_sha256":"cb01f8c97416bd20c8e2c76220e011215d5d8ac412315cf16691dd88d99b09c8"}}