{"as_of":"2026-08-08T23:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:91631ec57ecb39b10e8f6b49821bcb183fa27c86d98a0abd264b552c61931a28","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:29:20.194749Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:29:17.034821Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T12:29:21.144739Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"cited_work":{"arxiv_id":"2505.24450","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.24450","snapshot_observed_at":"2026-08-07T12:29:21.144739Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","venue":"cs.SD","work_id":"2bd9d70b-4ec5-4bb9-b68c-510dee21ccf6","year":2025},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.034821Z"},"links":{"cited_paper":"/paper/2505.24450","citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:a85534a4c8a4d681c50e4dfb9be967d506771b06f45a0d97c676a3d30434df1d","observation_id":"b4ac41e5-6206-4e93-ac64-9a0e7584906b","resolution":{"observed_at":"2026-08-07T12:29:21.301495Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24450/citation-record","integrity":"/paper/2505.24450/integrity","json":"/paper/2505.24450/citation-record.json","paper":"/paper/2505.24450"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"cited_work":{"arxiv_id":"2505.24450","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.24450","snapshot_observed_at":"2026-08-07T12:29:21.144739Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","venue":"cs.SD","work_id":"2bd9d70b-4ec5-4bb9-b68c-510dee21ccf6","year":2025},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.034821Z"},"links":{"cited_paper":"/paper/2505.24450","citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:a85534a4c8a4d681c50e4dfb9be967d506771b06f45a0d97c676a3d30434df1d","observation_id":"b4ac41e5-6206-4e93-ac64-9a0e7584906b","resolution":{"observed_at":"2026-08-07T12:29:21.301495Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.977870Z","title":"1,Nspeakers are spontaneously grouped for daily conversation in a reverberant room","venue":null,"work_id":"440117c3-1042-426e-bda6-6d4eb12236b5","year":null},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.075300Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:3a8718a4d540c938e2c3c3c41cbc8c19a816046a942cc85d273514ce993e1476","observation_id":"7997fcf4-3401-433c-ad04-c767099fd571","resolution":{"observed_at":"2026-08-07T12:29:29.108854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.655038Z","title":"GSS”, while systems M2-M4d refer to “GSS+FARNET","venue":null,"work_id":"5bbb9014-824a-4803-8e4f-a26df34cc630","year":null},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.164819Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:9f50f16b3ebadfab33669da771e8e8e3a2187c161904fce40c366c762eff7ad0","observation_id":"9e3ade5e-921b-4f24-942c-f6f9d4ee31a2","resolution":{"observed_at":"2026-08-07T12:29:28.711896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.444578Z","title":"GSS+MEASE","venue":null,"work_id":"dc17476d-9a3b-4d87-b836-b6576bc0509e","year":null},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.212685Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:0c214d46cc89526105c11b2eeb6ad4c812b1f7d18abf097475d58cdaf4f3917b","observation_id":"f458d148-b036-41e3-8e11-8482f06a6cbb","resolution":{"observed_at":"2026-08-07T12:29:28.565797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.321287Z","title":"GSS+FARNET","venue":null,"work_id":"142156bf-9ed2-4a68-9328-83611e45cdd7","year":null},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.266931Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:1afda1fdfdd20cc98602e2ea0d7651f235cae0a686e84b844d7ac1115fad7a6e","observation_id":"6ada7817-232d-46b2-a722-a9992c14331f","resolution":{"observed_at":"2026-08-07T12:29:28.374747Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.182234Z","title":"GSS+FARNET","venue":null,"work_id":"44767d23-ff78-491b-8aaa-61e0b19ce59c","year":null},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.356989Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:77fe630721fecb8313614ac396d79d23accf85e1ec0e78250b56f50f9b0d5c99","observation_id":"5352fb8f-2a76-4657-88b2-8e5196c8c19a","resolution":{"observed_at":"2026-08-07T12:29:28.257776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:27.035128Z","title":"The fifth’chime’speech separation and recognition challenge: Dataset, task and baselines,","venue":null,"work_id":"f40ea47d-eb20-4939-bde7-384abbc1f672","year":2018},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.091992Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:2370026157ea6cf2f8e2005b810912c0621fdb1aa25d4dc43fe62bd5aaca6366","observation_id":"d70c6f28-5964-450e-8df9-4f956c27d6ec","resolution":{"observed_at":"2026-08-07T12:29:27.116635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.017336Z","title":"Front-end processing for the chime-5 dinner party scenario,","venue":null,"work_id":"f70424e2-a825-485d-b703-c115d2a32740","year":2018},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.445530Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:3e6cff25edbc1a3253ed764cb47edd0c52202e0d973a51c295666320898bdc1d","observation_id":"3eb966b9-46c7-492e-b2a7-63eece0c9540","resolution":{"observed_at":"2026-08-07T12:29:28.113868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:27.810714Z","title":"Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement,","venue":null,"work_id":"3e9f24c9-9842-4b8f-8cfb-61576853817f","year":2021},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.538686Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:c272896c465f9c7c64e50e8e33b5b5f3c159744a1cbb15adcb10a246bae7531d","observation_id":"30f9393a-7de6-4d1f-8937-bdf7d9295591","resolution":{"observed_at":"2026-08-07T12:29:27.916034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:27.553128Z","title":"Efficient monaural speech enhancement with universal sample rate band-split rnn,","venue":null,"work_id":"22bd1f19-b7c8-4080-b0ac-281131358ed5","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.649043Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:c758b5d4d82bb2df3d7127e963c01dfbe5f5fc2e6d4abf1ffea24f6b340df7f1","observation_id":"373d6766-1531-4948-9c31-bdcbd2f68ffa","resolution":{"observed_at":"2026-08-07T12:29:27.644209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:27.392448Z","title":"Cmgan: Conformer- based metric-gan for monaural speech enhancement,","venue":null,"work_id":"98f5537f-c62f-4ec0-be5d-a21f587c00eb","year":2024},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.720985Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:9d5e969b6e49f2ed5c24ef7ab0f211eae25fe5ac54532e6c51b0a5fbd6f06b89","observation_id":"609268a9-ffe3-4333-8e64-459a8be0716e","resolution":{"observed_at":"2026-08-07T12:29:27.439989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:27.183200Z","title":"The multimodal information based speech processing (misp) 2023 challenge: Audio-visual target speaker extraction,","venue":null,"work_id":"75ae26ab-4ff5-4920-9c95-9883c26986c6","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.860662Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:544450c22b6156948c9470fe63e16ae649f905d0d40eacce042857f74113568d","observation_id":"fbf19992-2316-4de5-b38f-671feb60020c","resolution":{"observed_at":"2026-08-07T12:29:27.288055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08887","last_updated":"2024-01-16T23:50:26Z","snapshot_observed_at":"2026-07-06T17:16:34.085999Z","submitted_at":"2024-01-16T23:50:26Z","title":"NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08887","snapshot_observed_at":"2026-08-07T12:29:17.940896Z","title":"Notsofar- 1 challenge: New datasets, baseline, and tasks for distant meeting transcription,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.940896Z"},"links":{"cited_paper":"/paper/2401.08887","citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:4ecdb06f4ffec872bc8716e1ed849ffe59d477aee3d486574ad3b293ac62aedb","observation_id":"0e34c8a4-c26d-4c5b-8337-56a997c0e4bd","resolution":{"observed_at":"2026-08-07T12:29:17.940896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:25.204506Z","title":"An audio-quality-based multi-strategy approach for target speaker extraction in the misp 2023 challenge,","venue":null,"work_id":"15c222cd-67d9-4426-955b-6213441efef8","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.974724Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:4da474817b4d5bec4286dc67ef94f9b12c916e67bf01f849beaa9adbee8f53c2","observation_id":"db1edff0-0d7a-467b-9ba3-7e7fe4c2ca70","resolution":{"observed_at":"2026-08-07T12:29:25.300162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:26.795480Z","title":"Chime-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,","venue":null,"work_id":"ab62a029-fbd9-4810-868a-e2fdb7ec4e82","year":2020},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.192931Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:9cc92929b43eb58da17aa933f77775a1695e4ef94a42956aa11fdf3c9294e23c","observation_id":"cbf650da-e3eb-4cb2-b41c-06163a940f86","resolution":{"observed_at":"2026-08-07T12:29:26.909497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13734","last_updated":"2023-07-14T09:45:21Z","snapshot_observed_at":"2026-07-06T15:46:06.220522Z","submitted_at":"2023-06-23T18:49:20Z","title":"The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13734","snapshot_observed_at":"2026-08-07T12:29:18.363570Z","title":"The chime-7 dasr challenge: Distant meeting transcrip- tion with multiple devices in diverse scenarios,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.363570Z"},"links":{"cited_paper":"/paper/2306.13734","citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:337aaeab02dee86faf14e7723a0f9f44cbf599d2700ac02a1fb22de54d26de4e","observation_id":"4a89691e-0c2e-49da-a351-d501e2f15574","resolution":{"observed_at":"2026-08-07T12:29:18.363570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:26.451585Z","title":"The first multimodal information based speech processing (misp) chal- lenge: Data, tasks, baselines and results,","venue":null,"work_id":"6f9f2525-eb91-4b13-800f-0977b4b1864e","year":2022},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.534190Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:472364200218f59c7094422adf4dc52ed35a087219a9164862d4ba467dc57848","observation_id":"19c5afa6-6d09-4da7-8f98-00e6491fd225","resolution":{"observed_at":"2026-08-07T12:29:26.604886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:26.200801Z","title":"The mul- timodal information based speech processing (misp) 2022 chal- lenge: Audio-visual diarization and recognition,","venue":null,"work_id":"b4568c4b-8bc4-4d1a-b005-75283bf677b0","year":2022},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.692556Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:5f95baabc9d254fea97e605972a871c8776b8365412acc07b7b92978519dbac8","observation_id":"0a9938b2-898b-4064-959e-c620edb3299c","resolution":{"observed_at":"2026-08-07T12:29:26.332135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:25.894766Z","title":"Ef- fects of lombard reflex on the performance of deep-learning-based audio-visual speech enhancement systems,","venue":null,"work_id":"c750f7a6-ba34-47c0-8ac2-7d77e50e2bb3","year":2019},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.805177Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:42501534806f381c32983827d83274f238f3c9241552db33fb7eb3ba808ebfd6","observation_id":"99c48a31-75a1-4282-8d98-b77df2b00aea","resolution":{"observed_at":"2026-08-07T12:29:26.074099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:28.792112Z","title":null,"venue":null,"work_id":"d412457d-497e-44a5-9d92-26c66dd28586","year":null},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.124740Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:4b200794525c2676491d3f83c1dd8e9d5b2c409dfadb418cc7f763c0556f179d","observation_id":"6ec0fe55-afe6-47eb-a4e0-176d71552ef1","resolution":{"observed_at":"2026-08-07T12:29:28.884039Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:25.474459Z","title":"The chime- 7 udase task: Unsupervised domain adaptation for conversational speech enhancement,","venue":null,"work_id":"04d143dd-4c0c-4941-aa91-779da07ea3d8","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:18.920880Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:7bef8b8874aa44227dce0fd8b7a38b8b5aff338b234a4c66993b32569c6a87bc","observation_id":"a87b39ab-dfd8-4855-92ea-5691ca718df9","resolution":{"observed_at":"2026-08-07T12:29:25.646770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:24.957153Z","title":"Employing real training data for deep noise suppression,","venue":null,"work_id":"c21e160d-ab45-4d8a-9909-4271bff9627c","year":2024},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.040750Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:467ba7d832b4b7ff249b719fa21cb81a9c2e96e75a5eeea7f26bff7de1e11829","observation_id":"79255d04-36b1-40fb-afdb-bf9fad334010","resolution":{"observed_at":"2026-08-07T12:29:25.079889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:19.082238Z","title":"Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.082238Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:30faa99f24d760609ab24c32d817ef25e569ebda52ec0ab35de990bfe26f4273","observation_id":"9124aef1-2800-4df5-88bc-57b2a316fff4","resolution":{"observed_at":"2026-08-07T12:29:19.082238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10271","last_updated":"2025-03-22T14:53:43Z","snapshot_observed_at":"2026-07-06T17:45:15.311629Z","submitted_at":"2024-03-15T13:03:24Z","title":"SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR","version":3},"cited_work":{"arxiv_id":"2403.10271","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.10271","snapshot_observed_at":"2026-08-07T12:29:20.565844Z","title":"SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR","venue":"eess.AS","work_id":"ca543e48-41e3-4814-a801-61e6a27b014c","year":2024},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.117893Z"},"links":{"cited_paper":"/paper/2403.10271","citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:71ad8848d5398ecc13b4f61e3fd4a7f6dc1cc9349ce2d7a70084aed3dd9965ba","observation_id":"b25b25aa-cb58-48c3-b32d-c23560052da5","resolution":{"observed_at":"2026-08-07T12:29:20.717248Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:24.688109Z","title":"Pseudo-supervised deep subspace clustering,","venue":null,"work_id":"cf3f3100-270e-4f7d-92e5-bfc4e8029788","year":2021},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.173175Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:0701933998fc96d928a4858ba2e6ef372648817453250c91dfbe860fab748f7a","observation_id":"188c3714-ee2c-409e-a1e5-f495acc01baa","resolution":{"observed_at":"2026-08-07T12:29:24.798298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:24.452454Z","title":"Gpu-accelerated guided source separation for meeting transcription,","venue":null,"work_id":"47d9c6c9-a58a-4563-b271-f3d996e8a817","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.226531Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:62a406e62e8404ab367e0d317fca86ede8a77a4f4167230f7d76238c82de97c4","observation_id":"36e23e75-859d-4540-ae2f-72ad5dceeeb8","resolution":{"observed_at":"2026-08-07T12:29:24.564742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:24.162157Z","title":"Relative transfer function identification using convolutive transfer function approximation,","venue":null,"work_id":"4c393951-c675-45c6-8a9b-ae20dc6acdf2","year":2009},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.284849Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:25365981203ffa8026b2852ad968c59a458867ff841f29251fabd6f2e5c7d784","observation_id":"4f17a0c8-3a06-4115-aa77-d18ea367509b","resolution":{"observed_at":"2026-08-07T12:29:24.301062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:23.957122Z","title":"A consolidated view of loss functions for supervised deep learning-based speech enhancement,","venue":null,"work_id":"3bcdf861-1b35-4aa2-b176-1b05fdcef9d3","year":2021},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.354815Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:b90b1ad8085645b0f65502c3951744f031c4c2d8028ae9d71ebd85c0e74b0dcd","observation_id":"b18f6659-5d32-4940-9738-0660305cd893","resolution":{"observed_at":"2026-08-07T12:29:24.075381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:23.740542Z","title":"The xmuspeech system for audio-visual target speaker extraction in misp 2023 challenge,","venue":null,"work_id":"3b01e838-f1f5-43db-b989-5849c78fba60","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.444753Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:4246b10d8ae82bde05ed7d0bdfdc16bf3bb98a65101c28ec3740c2cfcf1c2119","observation_id":"dc32f022-2c3d-4b1d-b0c9-2e8093caf181","resolution":{"observed_at":"2026-08-07T12:29:23.835872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:23.494746Z","title":"A deep ensemble learning method for monaural speech separation,","venue":null,"work_id":"3972e4fa-0378-4c56-bc9a-8d631ba622a8","year":2016},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.494737Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:698e66e7af4f9a55b6c3e1a8ea3b8aa6f20c50a28102dffdd41f276aebd7b408","observation_id":"1b534621-ff4a-475c-95da-c80892f59a19","resolution":{"observed_at":"2026-08-07T12:29:23.654750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:23.101151Z","title":"Densely connected neural network with dilated convolutions for real-time speech enhancement in the time domain,","venue":null,"work_id":"f59f40fa-6a36-4c60-bd48-ced13fb2ee3d","year":2020},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.562978Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:9496bc5db7cf90c38ec53c5ec89882ec29e3f96fd6770d047d86b88250ddad33","observation_id":"104ddd0e-a74d-4b74-b8bf-f02019deaf65","resolution":{"observed_at":"2026-08-07T12:29:23.274767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.08022","last_updated":"2017-11-06T14:21:43Z","snapshot_observed_at":"2026-08-05T08:35:49.218794Z","submitted_at":"2016-07-27T10:23:00Z","title":"Instance Normalization: The Missing Ingredient for Fast Stylization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.08022","snapshot_observed_at":"2026-08-07T12:29:19.630458Z","title":"Instance normaliza- tion: The missing ingredient for fast stylization,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.630458Z"},"links":{"cited_paper":"/paper/1607.08022","citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:1cf39dfb49f7d8be7c2f64204b9ec1ff89d6ad4ddf43236d9effd659e3634fb6","observation_id":"e51c02d6-5f83-4298-b925-5671f594ae9f","resolution":{"observed_at":"2026-08-07T12:29:19.630458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:22.814747Z","title":"Convolutive predic- tion for monaural speech dereverberation and noisy-reverberant speaker separation,","venue":null,"work_id":"a6df4f3c-52e0-4054-be30-8ff61000f1e7","year":2021},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.687165Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:6d71a9b692d7924f1be639725b5ca074386a4be509858151767b474ef55ad4f3","observation_id":"9d760db6-8180-4317-b159-e0d93e827375","resolution":{"observed_at":"2026-08-07T12:29:22.904767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:22.444753Z","title":"Blind separation of speech mixtures via time-frequency masking,","venue":null,"work_id":"32bf16e1-700d-404c-867d-0b6bb6109df4","year":2004},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.795185Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:8fdee2011a9acab183b50aefcabbd3ef1d5e94a1acab3f5740edbd84faa726d1","observation_id":"c07e66a2-2170-48b6-b4ff-226ad9982397","resolution":{"observed_at":"2026-08-07T12:29:22.604749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:22.133820Z","title":"Improving audio-visual speech recognition by lip-subword correlation based visual pre-training and cross-modal fusion en- coder,","venue":null,"work_id":"5d29dbd8-350c-4ada-81b8-6f1d1ca56cde","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.854747Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:51eacec58467b2b7d6ca68339cc977a7604340999301eaf4d3e9ba281c0efab6","observation_id":"0e4fb52d-f9f7-4501-8979-7842e9593aa4","resolution":{"observed_at":"2026-08-07T12:29:22.294752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:21.829860Z","title":"Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,","venue":null,"work_id":"fb92e766-7bd8-411e-8173-c9188c32765f","year":2022},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:19.964816Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:976d75dfbe0c300556abdeaca6544d7e52b9eab6831b09d721c33f1fc727724a","observation_id":"71117ceb-bd77-45a5-92bb-e60c38aef042","resolution":{"observed_at":"2026-08-07T12:29:21.991353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:20.126841Z","title":"Robust speech recognition via large-scale weak supervision,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:20.126841Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:1efc2214ab58cf711572685900a07010c688ea2cd2d30dd00254321940514c7e","observation_id":"15a300d6-90e7-48db-b6a1-f977eb9e4f68","resolution":{"observed_at":"2026-08-07T12:29:20.126841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:29:21.584804Z","title":"Sir- progressive audio-visual tf-gridnet with asr-aware selector for tar- get speaker extraction in misp 2023 challenge,","venue":null,"work_id":"a8272300-e355-46ba-8e4c-afe4bd19f8ac","year":2023},"citing_paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:20.194749Z"},"links":{"citing_paper":"/paper/2505.24450"},"observation_digest":"sha256:7ddb771c14caffd93ed9f5330f05d50f68316533efab1e643130c70a27cf28a4","observation_id":"04eb5482-e607-44c5-9ac2-3daa405162b3","resolution":{"observed_at":"2026-08-07T12:29:21.735072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24450","last_updated":"2025-06-23T07:42:55Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-07T12:48:40.469246Z","submitted_at":"2025-05-30T10:36:32Z","title":"SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":29},"total_outbound_references":38},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.24450."}