{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:M3EJ6HZBO7MSXCGTLOL2ELK7QQ","short_pith_number":"pith:M3EJ6HZB","canonical_record":{"source":{"id":"1904.12769","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-29T15:26:47Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"4a6e02acf4b7ab5a8ab60c373266f3f4d6c8aa7c84548887be6f3c066f37794a","abstract_canon_sha256":"cc906b13c68abd0cf7274c114ccaf0b244131ed2578fc24348fb46e7c0cf3ae5"},"schema_version":"1.0"},"canonical_sha256":"66c89f1f2177d92b88d35b97a22d5f8422f9a23c53ba9ff95984c090868cbea1","source":{"kind":"arxiv","id":"1904.12769","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12769","created_at":"2026-05-17T23:47:34Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12769v1","created_at":"2026-05-17T23:47:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12769","created_at":"2026-05-17T23:47:34Z"},{"alias_kind":"pith_short_12","alias_value":"M3EJ6HZBO7MS","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"M3EJ6HZBO7MSXCGT","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"M3EJ6HZB","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:M3EJ6HZBO7MSXCGTLOL2ELK7QQ","target":"record","payload":{"canonical_record":{"source":{"id":"1904.12769","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-29T15:26:47Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"4a6e02acf4b7ab5a8ab60c373266f3f4d6c8aa7c84548887be6f3c066f37794a","abstract_canon_sha256":"cc906b13c68abd0cf7274c114ccaf0b244131ed2578fc24348fb46e7c0cf3ae5"},"schema_version":"1.0"},"canonical_sha256":"66c89f1f2177d92b88d35b97a22d5f8422f9a23c53ba9ff95984c090868cbea1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:34.172353Z","signature_b64":"JG469fsQ05RXmqD8A8p5OOV1QibspqocxOcIFWKQpViouXH+dcpE7TZ0yPXdGW3xM4+I2uOdY4PD11ZFEj3pCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66c89f1f2177d92b88d35b97a22d5f8422f9a23c53ba9ff95984c090868cbea1","last_reissued_at":"2026-05-17T23:47:34.171850Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:34.171850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.12769","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":"2026-05-17T23:47:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q1XGWIFSx+n6URq0MahwXGnkudAdwQ2Jy+TovvN94a0aj9omOwVUDxyNtLOy9SFXTpkryMJ6rUmLwpQFUYFsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:37:43.996948Z"},"content_sha256":"d8207430269edbe41134027fd27b8f154cc18575317e269163c3b342273675e1","schema_version":"1.0","event_id":"sha256:d8207430269edbe41134027fd27b8f154cc18575317e269163c3b342273675e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:M3EJ6HZBO7MSXCGTLOL2ELK7QQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Archontis Politis, Sharath Adavanne, Tuomas Virtanen","submitted_at":"2019-04-29T15:26:47Z","abstract_excerpt":"This paper investigates the joint localization, detection, and tracking of sound events using a convolutional recurrent neural network (CRNN). We use a CRNN previously proposed for the localization and detection of stationary sources, and show that the recurrent layers enable the spatial tracking of moving sources when trained with dynamic scenes. The tracking performance of the CRNN is compared with a stand-alone tracking method that combines a multi-source (DOA) estimator and a particle filter. Their respective performance is evaluated in various acoustic conditions such as anechoic and reve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12769","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4GZdrRt0G25cxiwNn1yExvws9nmeC7GekFDjd/8J1qx9JQHAUXr9xpaRfBuIMz4dUki4H8d8l9zKl61jKpjjCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:37:43.997382Z"},"content_sha256":"34bde58e61a4dac2a7000d47cbfda34bf99fe07cfb69d3214ab0bee0e5d37a2e","schema_version":"1.0","event_id":"sha256:34bde58e61a4dac2a7000d47cbfda34bf99fe07cfb69d3214ab0bee0e5d37a2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ/bundle.json","state_url":"https://pith.science/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ/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":"2026-05-27T20:37:43Z","links":{"resolver":"https://pith.science/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ","bundle":"https://pith.science/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ/bundle.json","state":"https://pith.science/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M3EJ6HZBO7MSXCGTLOL2ELK7QQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:M3EJ6HZBO7MSXCGTLOL2ELK7QQ","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":"cc906b13c68abd0cf7274c114ccaf0b244131ed2578fc24348fb46e7c0cf3ae5","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-29T15:26:47Z","title_canon_sha256":"4a6e02acf4b7ab5a8ab60c373266f3f4d6c8aa7c84548887be6f3c066f37794a"},"schema_version":"1.0","source":{"id":"1904.12769","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12769","created_at":"2026-05-17T23:47:34Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12769v1","created_at":"2026-05-17T23:47:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12769","created_at":"2026-05-17T23:47:34Z"},{"alias_kind":"pith_short_12","alias_value":"M3EJ6HZBO7MS","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"M3EJ6HZBO7MSXCGT","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"M3EJ6HZB","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:34bde58e61a4dac2a7000d47cbfda34bf99fe07cfb69d3214ab0bee0e5d37a2e","target":"graph","created_at":"2026-05-17T23:47:34Z","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"},"paper":{"abstract_excerpt":"This paper investigates the joint localization, detection, and tracking of sound events using a convolutional recurrent neural network (CRNN). We use a CRNN previously proposed for the localization and detection of stationary sources, and show that the recurrent layers enable the spatial tracking of moving sources when trained with dynamic scenes. The tracking performance of the CRNN is compared with a stand-alone tracking method that combines a multi-source (DOA) estimator and a particle filter. Their respective performance is evaluated in various acoustic conditions such as anechoic and reve","authors_text":"Archontis Politis, Sharath Adavanne, Tuomas Virtanen","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-29T15:26:47Z","title":"Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12769","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:d8207430269edbe41134027fd27b8f154cc18575317e269163c3b342273675e1","target":"record","created_at":"2026-05-17T23:47:34Z","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":"cc906b13c68abd0cf7274c114ccaf0b244131ed2578fc24348fb46e7c0cf3ae5","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-29T15:26:47Z","title_canon_sha256":"4a6e02acf4b7ab5a8ab60c373266f3f4d6c8aa7c84548887be6f3c066f37794a"},"schema_version":"1.0","source":{"id":"1904.12769","kind":"arxiv","version":1}},"canonical_sha256":"66c89f1f2177d92b88d35b97a22d5f8422f9a23c53ba9ff95984c090868cbea1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66c89f1f2177d92b88d35b97a22d5f8422f9a23c53ba9ff95984c090868cbea1","first_computed_at":"2026-05-17T23:47:34.171850Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:34.171850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JG469fsQ05RXmqD8A8p5OOV1QibspqocxOcIFWKQpViouXH+dcpE7TZ0yPXdGW3xM4+I2uOdY4PD11ZFEj3pCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:34.172353Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.12769","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8207430269edbe41134027fd27b8f154cc18575317e269163c3b342273675e1","sha256:34bde58e61a4dac2a7000d47cbfda34bf99fe07cfb69d3214ab0bee0e5d37a2e"],"state_sha256":"5299332d77506f44dc76952c16598dc1e0ef3ed0045c27e00eb80e3ab5703175"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kyXZNvt/21Sh4VNCz5fHqw5GQAP7w13eRYJraYjyzYJvxQoOXtK9AWowLLU//hFyAc2pMPCLA4fq+s/A5hHNDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T20:37:44.000656Z","bundle_sha256":"e4679b5bf205d8e9ecf3311458ea5c39270e268f5271f427ecfa23868ad27500"}}