{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:55CXITNTI5PH42P67XOW3CYAMA","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":"f203725eed432425b7f747e24339b89fe353549463b19c1bb5547ee93ba23a63","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-08-16T13:22:55Z","title_canon_sha256":"32e8c72ebc3652ffe4287087fecc302653c36f4b0a50d35572814e0edb3782f9"},"schema_version":"1.0","source":{"id":"2408.08729","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08729","created_at":"2026-07-05T08:56:08Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08729v1","created_at":"2026-07-05T08:56:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08729","created_at":"2026-07-05T08:56:08Z"},{"alias_kind":"pith_short_12","alias_value":"55CXITNTI5PH","created_at":"2026-07-05T08:56:08Z"},{"alias_kind":"pith_short_16","alias_value":"55CXITNTI5PH42P6","created_at":"2026-07-05T08:56:08Z"},{"alias_kind":"pith_short_8","alias_value":"55CXITNT","created_at":"2026-07-05T08:56:08Z"}],"graph_snapshots":[{"event_id":"sha256:711eacf40a6c2df920eef34dd59fe8ab543d5328e9368c95ba9035c1cb3bdeb6","target":"graph","created_at":"2026-07-05T08:56:08Z","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/2408.08729/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dialogue separation involves isolating a dialogue signal from a mixture, such as a movie or a TV program. This can be a necessary step to enable dialogue enhancement for broadcast-related applications. In this paper, ConcateNet for dialogue separation is proposed, which is based on a novel approach for processing local and global features aimed at better generalization for out-of-domain signals. ConcateNet is trained using a noise reduction-focused, publicly available dataset and evaluated using three datasets: two noise reduction-focused datasets (in-domain), which show competitive performanc","authors_text":"Emanu\\\"el Habets, Matteo Torcoli, Mhd Modar Halimeh","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-08-16T13:22:55Z","title":"ConcateNet: Dialogue Separation Using Local And Global Feature Concatenation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08729","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:bed7ae74efa8ab04aa5b099ccc8845347550184a5a1077057aaad40323a840d8","target":"record","created_at":"2026-07-05T08:56:08Z","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":"f203725eed432425b7f747e24339b89fe353549463b19c1bb5547ee93ba23a63","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-08-16T13:22:55Z","title_canon_sha256":"32e8c72ebc3652ffe4287087fecc302653c36f4b0a50d35572814e0edb3782f9"},"schema_version":"1.0","source":{"id":"2408.08729","kind":"arxiv","version":1}},"canonical_sha256":"ef45744db3475e7e69fefddd6d8b0060337e8708694ad45cf851d82346889540","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef45744db3475e7e69fefddd6d8b0060337e8708694ad45cf851d82346889540","first_computed_at":"2026-07-05T08:56:08.245401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:08.245401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T5YEp0WeP0MwEGf3vUAChNuMHz+/uveNJvJME52YZqhbg4tzAafNNG925456rjrAlyxgnUOnaSyeYmw8l3oXAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:08.245871Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08729","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bed7ae74efa8ab04aa5b099ccc8845347550184a5a1077057aaad40323a840d8","sha256:711eacf40a6c2df920eef34dd59fe8ab543d5328e9368c95ba9035c1cb3bdeb6"],"state_sha256":"8c14fde6fa7bdfed8535d9d302a98551364b4a555be5e46b4e43d13353dc8af2"}