{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:EYMGBE2DHQZYOSMODF53QJYUBJ","short_pith_number":"pith:EYMGBE2D","schema_version":"1.0","canonical_sha256":"26186093433c3387498e197bb827140a42004d93dafc2303aaa095edabcf7781","source":{"kind":"arxiv","id":"1809.02587","version":1},"attestation_state":"computed","paper":{"title":"Self-Supervised Generation of Spatial Audio for 360 Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Nuno Vasconcelos, Oliver Wang, Pedro Morgado, Timothy Langlois","submitted_at":"2018-09-07T17:25:59Z","abstract_excerpt":"We introduce an approach to convert mono audio recorded by a 360 video camera into spatial audio, a representation of the distribution of sound over the full viewing sphere. Spatial audio is an important component of immersive 360 video viewing, but spatial audio microphones are still rare in current 360 video production. Our system consists of end-to-end trainable neural networks that separate individual sound sources and localize them on the viewing sphere, conditioned on multi-modal analysis of audio and 360 video frames. We introduce several datasets, including one filmed ourselves, and on"},"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":"1809.02587","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-09-07T17:25:59Z","cross_cats_sorted":["cs.CV","cs.LG","cs.MM","eess.AS"],"title_canon_sha256":"0acfcf7d367fd746d3a16b12c1a9f73e14b1e12397d8a7af9ca949c48be9c115","abstract_canon_sha256":"66614ac7098585f08994928bfda2e8f3170077f8afb3c3eeddb533f36b11c87a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:16.691306Z","signature_b64":"dW5w08igHb3aAAONt4CK99MNbDqk3OSt9or77fMSxLSzksISwSLalf0AJd9lvzp3fCoLq3MyeYzgaEOuxDTlAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26186093433c3387498e197bb827140a42004d93dafc2303aaa095edabcf7781","last_reissued_at":"2026-05-18T00:06:16.690832Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:16.690832Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Self-Supervised Generation of Spatial Audio for 360 Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Nuno Vasconcelos, Oliver Wang, Pedro Morgado, Timothy Langlois","submitted_at":"2018-09-07T17:25:59Z","abstract_excerpt":"We introduce an approach to convert mono audio recorded by a 360 video camera into spatial audio, a representation of the distribution of sound over the full viewing sphere. Spatial audio is an important component of immersive 360 video viewing, but spatial audio microphones are still rare in current 360 video production. Our system consists of end-to-end trainable neural networks that separate individual sound sources and localize them on the viewing sphere, conditioned on multi-modal analysis of audio and 360 video frames. We introduce several datasets, including one filmed ourselves, and on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.02587","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":"1809.02587","created_at":"2026-05-18T00:06:16.690907+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.02587v1","created_at":"2026-05-18T00:06:16.690907+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.02587","created_at":"2026-05-18T00:06:16.690907+00:00"},{"alias_kind":"pith_short_12","alias_value":"EYMGBE2DHQZY","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_16","alias_value":"EYMGBE2DHQZYOSMO","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_8","alias_value":"EYMGBE2D","created_at":"2026-05-18T12:32:22.470017+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/EYMGBE2DHQZYOSMODF53QJYUBJ","json":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ.json","graph_json":"https://pith.science/api/pith-number/EYMGBE2DHQZYOSMODF53QJYUBJ/graph.json","events_json":"https://pith.science/api/pith-number/EYMGBE2DHQZYOSMODF53QJYUBJ/events.json","paper":"https://pith.science/paper/EYMGBE2D"},"agent_actions":{"view_html":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ","download_json":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ.json","view_paper":"https://pith.science/paper/EYMGBE2D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.02587&json=true","fetch_graph":"https://pith.science/api/pith-number/EYMGBE2DHQZYOSMODF53QJYUBJ/graph.json","fetch_events":"https://pith.science/api/pith-number/EYMGBE2DHQZYOSMODF53QJYUBJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ/action/storage_attestation","attest_author":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ/action/author_attestation","sign_citation":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ/action/citation_signature","submit_replication":"https://pith.science/pith/EYMGBE2DHQZYOSMODF53QJYUBJ/action/replication_record"}},"created_at":"2026-05-18T00:06:16.690907+00:00","updated_at":"2026-05-18T00:06:16.690907+00:00"}