{"as_of":"2026-08-11T07:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7c91ca890738304422f12497cbff62b345ce7b3e7ef876852bc0ddea49548d7b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:18:15.089856Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T15:44:14.762467Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-08-10T21:18:15.089856Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2501.05332","last_updated":"2025-01-09T15:58:37Z","snapshot_observed_at":"2026-08-10T21:11:57.531282Z","submitted_at":"2025-01-09T15:58:37Z","title":"AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T21:18:15.089856Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2501.05332"},"observation_digest":"sha256:5d5a13d5a2738e89a9100693a64f9deb1e06142bd3e59780813ae986c7e4230e","observation_id":"0de9e15e-57ae-4738-aec3-aba81e331c3c","resolution":{"observed_at":"2026-08-10T21:18:15.089856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-08-10T13:56:41.861184Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2501.15965","last_updated":"2025-01-27T11:17:00Z","snapshot_observed_at":"2026-08-10T13:47:30.631361Z","submitted_at":"2025-01-27T11:17:00Z","title":"EDSep: An Effective Diffusion-Based Method for Speech Source Separation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T13:56:41.861184Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2501.15965"},"observation_digest":"sha256:9bde9bef3ff1d0ea0260b96164f0cbdf6a3a6fc4a4cefa1724a1ed022b170e6a","observation_id":"1413d630-726f-4e61-8d8b-b33312197e09","resolution":{"observed_at":"2026-08-10T13:56:41.861184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-08-08T21:52:08.333915Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2502.04711","last_updated":"2025-02-07T07:25:59Z","snapshot_observed_at":"2026-08-10T18:24:37.958578Z","submitted_at":"2025-02-07T07:25:59Z","title":"Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T21:52:08.333915Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2502.04711"},"observation_digest":"sha256:a5ce4343bcab3e8e7314897398ed593b003188acdbd6cd27510f1d925db6b70e","observation_id":"c3f3fa94-1a78-4bdb-b2b2-27a93f3d0e50","resolution":{"observed_at":"2026-08-08T21:52:08.333915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-08-08T10:06:35.950643Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2502.08191","last_updated":"2025-02-12T08:03:27Z","snapshot_observed_at":"2026-08-10T22:21:53.318335Z","submitted_at":"2025-02-12T08:03:27Z","title":"DualStream Contextual Fusion Network: Efficient Target Speaker Extraction by Leveraging Mixture and Enrollment Interactions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T10:06:35.950643Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2502.08191"},"observation_digest":"sha256:7cf2c4902f1c465b071842ff99b627ce9b1248ed87970cb091d4adc4a422ab66","observation_id":"c6eeedb6-77db-4bcb-9040-bc30aa612f7f","resolution":{"observed_at":"2026-08-08T10:06:35.950643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":"2007.13975","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation","venue":null,"work_id":"4bcffe0b-ff5a-454b-a3f0-f8021c93840d","year":2007},"citing_paper":{"arxiv_id":"2509.11717","last_updated":"2026-06-21T14:09:38Z","snapshot_observed_at":"2026-08-04T16:48:20.030372Z","submitted_at":"2025-09-15T09:12:57Z","title":"CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents","version":5},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-18T16:44:32.104114Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2509.11717"},"observation_digest":"sha256:9531d939600b1523883522cf2b09bc143e1b5f013c5178761f945c4255624896","observation_id":"8ff65ff5-9766-4f69-8d0f-2b65198d825f","resolution":{"observed_at":"2026-05-18T16:46:37.606705Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-08-04T16:48:31.041825Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2509.11717","last_updated":"2026-06-21T14:09:38Z","snapshot_observed_at":"2026-08-04T16:48:20.030372Z","submitted_at":"2025-09-15T09:12:57Z","title":"CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents","version":6},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T16:48:31.041825Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2509.11717"},"observation_digest":"sha256:5679e1080bf4012978fce278aafa163e0637250f2605f7455f910213bb3749eb","observation_id":"ca9cec26-0485-4fcc-b1e2-235cf877f74b","resolution":{"observed_at":"2026-08-04T16:48:31.041825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation","version":3},"cited_work":{"arxiv_id":"2007.13975","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2007.13975","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation","venue":null,"work_id":"4bcffe0b-ff5a-454b-a3f0-f8021c93840d","year":2007},"citing_paper":{"arxiv_id":"2601.06006","last_updated":"2026-05-20T16:34:38Z","snapshot_observed_at":"2026-07-06T22:41:15.345760Z","submitted_at":"2026-01-09T18:41:12Z","title":"Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-21T15:42:57.766341Z"},"links":{"cited_paper":"/paper/2007.13975","citing_paper":"/paper/2601.06006"},"observation_digest":"sha256:f374e9592c8d2f72a1358616cc056c072da628b30dcf3bc12cacf431800ea8a9","observation_id":"56f25d31-4ee3-4388-be3a-89c6d66adc15","resolution":{"observed_at":"2026-05-21T15:44:14.765739Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2007.13975/citation-record","integrity":"/paper/2007.13975/integrity","json":"/paper/2007.13975/citation-record.json","paper":"/paper/2007.13975"},"outbound":[],"paper":{"arxiv_id":"2007.13975","last_updated":"2020-08-14T10:52:10Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-11T05:46:15.858051Z","submitted_at":"2020-07-28T03:51:28Z","title":"Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2007.13975."}