{"as_of":"2026-08-16T23:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9dfbe733d59ed53228f778c6a8da900417df44e18a7fd81febaf128e7145a6d7","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:26:15.084939Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-15T20:26:14.877308Z","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":"2026-08-15T20:26:15.293834Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"cited_work":{"arxiv_id":"2505.13079","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.13079","snapshot_observed_at":"2026-08-15T20:26:15.293834Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","venue":"eess.AS","work_id":"3741b109-eb33-438e-9ec5-c47f0e394086","year":2025},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.877308Z"},"links":{"cited_paper":"/paper/2505.13079","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:c93b2df7b8fbe286f19a133248f270b715d1c10de4d934612006d139c99a92db","observation_id":"5a4852a8-080d-4934-a1cf-d78ece1d8db8","resolution":{"observed_at":"2026-08-15T20:26:15.298584Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.13079/citation-record","integrity":"/paper/2505.13079/integrity","json":"/paper/2505.13079/citation-record.json","paper":"/paper/2505.13079"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:15.822751Z","title":null,"venue":null,"work_id":"4fb40839-59dd-4ad8-a1fa-a76e48b101b4","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.860823Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:ccdf17883967f9252e8b09630fb41cee85e1ba280d2ef1ab253fb37f1b35f53f","observation_id":"158ad978-58a9-4041-9562-0ad53ef6b902","resolution":{"observed_at":"2026-08-15T20:26:15.827557Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.808545Z","title":"However, aligning representations betwee n linguistic and acoustic modalities remains a challenge due to inherent modality gaps","venue":null,"work_id":"d0d2a64e-12fd-4b23-9173-9ab919094aa9","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.866328Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:7be8eb29b5a8d2d3a933a46301ab06f60be47079815f512486fcc810c62e9e5e","observation_id":"35934645-b3c3-4b1c-94db-ff7d45ae941c","resolution":{"observed_at":"2026-08-15T20:26:15.813436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.794520Z","title":null,"venue":null,"work_id":"60e4a52e-a268-475f-9ece-a822bb512ea5","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.872312Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:1a821c89c1f79d0b10e0491cc42528f44264f62b2ce372908be296dc94468857","observation_id":"2f734bea-adb2-4839-8410-b2cdda6e5bd6","resolution":{"observed_at":"2026-08-15T20:26:15.799286Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"cited_work":{"arxiv_id":"2505.13079","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.13079","snapshot_observed_at":"2026-08-15T20:26:15.293834Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","venue":"eess.AS","work_id":"3741b109-eb33-438e-9ec5-c47f0e394086","year":2025},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.877308Z"},"links":{"cited_paper":"/paper/2505.13079","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:c93b2df7b8fbe286f19a133248f270b715d1c10de4d934612006d139c99a92db","observation_id":"5a4852a8-080d-4934-a1cf-d78ece1d8db8","resolution":{"observed_at":"2026-08-15T20:26:15.298584Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.780552Z","title":"The dataset consists of: A training set with 340 speakers (150 hours of speech)","venue":null,"work_id":"276f4dc9-06f5-4e42-9ad9-5c0d795d2eb2","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.882522Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:ef105bbf7c26887574023de39837a2484dbaf78301e3a9015b98121b0c3037a7","observation_id":"85cf43d0-bcfb-4a51-b65d-22634b9cd3d2","resolution":{"observed_at":"2026-08-15T20:26:15.785332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.767047Z","title":"By structuring feature embeddings as nodes and capturing sequential relationships as edges, GM-OT enable s a more comprehensive alignment through graph-based optimal transport","venue":null,"work_id":"5daf64f3-f18b-4732-8e1e-76d8bacd4821","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.888475Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:22f8acc24e9ac86e76ea1d71bd6e0c4a3eb46c1cafb9cd0a73fb3f6804218559","observation_id":"1b68773f-a82a-41f6-9990-0388cb61de5c","resolution":{"observed_at":"2026-08-15T20:26:15.771837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.753010Z","title":"Listen, attend a nd spell: A neural network for large vocabulary conversational speech recog- nition,","venue":null,"work_id":"f93a38d3-1004-43af-9235-edd4502408de","year":2016},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.893217Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:29c3cf327f96d141caa38172f8efaa89e6d08f8ff0325c65e5e616e9d7becbd8","observation_id":"d6cab1c3-7985-48e1-9ffc-c2040085d260","resolution":{"observed_at":"2026-08-15T20:26:15.757560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.738733Z","title":"Joint CTC-attention ba sed end- to-end speech recognition using multi-task learning,","venue":null,"work_id":"017518dc-a2bc-4f35-80ee-d6838c65cda9","year":2017},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.898019Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:a59e867bfbac824c7a684c2f735d5d39e240fa3df936540947806fae76c6041f","observation_id":"b11a9400-a57e-4697-87c8-0ed5c1aae504","resolution":{"observed_at":"2026-08-15T20:26:15.743905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.724734Z","title":"Joint ctc/atten tion decod- ing for end-to-end speech recognition,","venue":null,"work_id":"04232151-7c55-4714-aeb9-b87c54638e4a","year":2017},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.903333Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:9042e5e3225681f4d57033f168e7fb2b2d053211b7de03436ae7c6c84ce2076c","observation_id":"a616b299-d25d-45f2-91f6-8b0caad9e3d4","resolution":{"observed_at":"2026-08-15T20:26:15.729293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.710851Z","title":"Hy- brid CTC/Attention Architecture for End-to-End Speech Rec ogni- tion,","venue":null,"work_id":"bedecacf-f2b5-4d28-bc0f-cc1f548f6616","year":2017},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.908044Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:589c28bb0512ab2b4147e38788c4b1e749d2e044eda8e6725b43da74129bc353","observation_id":"318daa7b-2446-411f-b7a2-7358cf9793b9","resolution":{"observed_at":"2026-08-15T20:26:15.715296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1211.3711","last_updated":"2012-11-14T19:25:21Z","snapshot_observed_at":"2026-08-15T00:39:21.296689Z","submitted_at":"2012-11-14T19:25:21Z","title":"Sequence Transduction with Recurrent Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1211.3711","snapshot_observed_at":"2026-08-15T20:26:14.912167Z","title":"Sequence transduction with recurrent neura l net- works,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.912167Z"},"links":{"cited_paper":"/paper/1211.3711","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:37deb6ceaf46a4284dbe81da2c6380ab4c2cc595c9b7111d1687b5dc6bbfdbf4","observation_id":"52e63445-42a8-4335-8d10-e9e4d562bc67","resolution":{"observed_at":"2026-08-15T20:26:14.912167Z","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":"2026-08-15T20:26:15.696844Z","title":"Effective sentence scoring method using BERT for speech recognition,","venue":null,"work_id":"d24639c5-bfc1-4c73-a3a5-38fd2825d966","year":2019},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.918179Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:724622cd2c5009a4a693861ddd4ff324d522e71b4f47ac1f4d377f2c609ff350","observation_id":"315e435c-29c4-48ac-b62e-08a8ce378b1f","resolution":{"observed_at":"2026-08-15T20:26:15.701502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.682309Z","title":"Masked La nguage Model Scoring,","venue":null,"work_id":"485729e6-1e6b-47bd-8be4-b9de6dc0e338","year":2020},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.922713Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:6d5f813516fefaf2efd8244857d74f40c5a2535cc1cd34c3a646036036bbc93c","observation_id":"a29818ff-063d-44bf-b0b9-73eeebffdb45","resolution":{"observed_at":"2026-08-15T20:26:15.687186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.668242Z","title":"Towards end to-end speech reco gnition with recurrent neural networks,","venue":null,"work_id":"7d3d2053-68a4-46de-8759-b0d657b02a7e","year":2014},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.927395Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:b048ef062377ad251c7dcaf4845f0765b5c415408350a4da13e3e2eab6a31433","observation_id":"2f703513-c227-43b3-8a41-2191c81af613","resolution":{"observed_at":"2026-08-15T20:26:15.672856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.654298Z","title":"Hierarchical cond itional end-to-end asr with ctc and multi-granular subword units,","venue":null,"work_id":"fecfa1bf-353d-4ac9-aae0-836668b88305","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.931857Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:17eaaa641b9f4a75709ba05bf735e728168751bbc07cbe859d1ded4a77647a02","observation_id":"f5b010f5-558e-46db-9f45-28276a005ab6","resolution":{"observed_at":"2026-08-15T20:26:15.658899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00175","last_updated":"2023-03-13T01:49:33Z","snapshot_observed_at":"2026-08-16T23:05:47.643275Z","submitted_at":"2022-04-01T02:51:22Z","title":"Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR","version":2},"cited_work":{"arxiv_id":"2204.00175","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.00175","snapshot_observed_at":"2026-08-15T20:26:15.257536Z","title":"Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR","venue":"cs.CL","work_id":"a6ca6287-a215-4792-afeb-09989e13ac11","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.936238Z"},"links":{"cited_paper":"/paper/2204.00175","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:658f2830f97ec5a571b3daef72d97d0d00b45d8bc9941178dd866283c5b0ea58","observation_id":"a7b20f76-2123-4ec2-abfe-5cbce4684b78","resolution":{"observed_at":"2026-08-15T20:26:15.263136Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-15T20:26:14.941050Z","title":"Bert: Pre train- ing of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.941050Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:916e8c3023429a32067f709607fcc558ee158451e63b4479e86e1ea620186624","observation_id":"8e8e901b-ea49-48a1-a618-d39adef6a31f","resolution":{"observed_at":"2026-08-15T20:26:14.941050Z","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":"2026-08-15T20:26:15.640165Z","title":null,"venue":null,"work_id":"21807698-db01-4b12-a87c-e82b74fab32c","year":1911},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.946549Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:7aaeaf5dec61e445c6eaf56c2388d1b9d7183fecf847d6aca98f107e684e93e0","observation_id":"38844930-b7f3-41f8-9823-1fc7307b3bee","resolution":{"observed_at":"2026-08-15T20:26:15.644436Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.626437Z","title":"Non-autoregressive ASR Model ing using Pre-trained Language Models for Chinese Speech Recog ni- tion,","venue":null,"work_id":"936aa091-92b4-48a3-aa14-a60c12a60780","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.951114Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:d0cfa4992bd9932a2fdd67b1660870d1983cc03c5dbf64aefebd4da3dfeeb75b","observation_id":"d04d0888-33f5-4661-8eb4-e5c56342a6d6","resolution":{"observed_at":"2026-08-15T20:26:15.630806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.611896Z","title":"Knowledge Transfer f rom Large-Scale Pretrained Language Models to End-To-End Spee ch Recognizers,","venue":null,"work_id":"6be55c8e-0c1b-41bc-8a1b-f9b1819d62af","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.955757Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:7142daabb3da3926c4af80c27c72af4eb5ae869c76a90a38e3f873b7fa599456","observation_id":"476dfd13-86d1-4174-883f-0d9421269099","resolution":{"observed_at":"2026-08-15T20:26:15.616913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.597297Z","title":"Distilling a Pretrained Language Mod el to a Multilingual ASR Model,","venue":null,"work_id":"b3716552-7f81-4a32-9437-29a501459721","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.960036Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:614255878a6fed43ed93cfc75e3f303a6b4e75e668edf10a1283a1fa256c99e5","observation_id":"b3f8003a-3d45-491c-807e-b3717d2316e7","resolution":{"observed_at":"2026-08-15T20:26:15.601857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.582835Z","title":"Wav2vec 2.0: A framework for self-supervised learning of speech represen tations,","venue":null,"work_id":"c00e426d-a3c1-49c5-be7e-89010c88ffa0","year":2020},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.964369Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:6f71f45a665ea78da7827920e839eb4e3f1715f459832de5dfedc0ba38de676d","observation_id":"a2f2d2cf-bc5d-411d-ac4a-619b412feb65","resolution":{"observed_at":"2026-08-15T20:26:15.587585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.02030","last_updated":"2022-09-05T16:08:35Z","snapshot_observed_at":"2026-08-16T16:34:39.844153Z","submitted_at":"2022-09-05T16:08:35Z","title":"Distilling the Knowledge of BERT for CTC-based ASR","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.02030","snapshot_observed_at":"2026-08-15T20:26:14.968810Z","title":"Distilling the Knowledge of BERT for CTC-based ASR,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.968810Z"},"links":{"cited_paper":"/paper/2209.02030","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:40d783d14cab4c454a311ac6827314e928d80114449b32676580b592758ca1e8","observation_id":"349cbe02-1222-4f6e-bb0d-a3ba7a4fe8ce","resolution":{"observed_at":"2026-08-15T20:26:14.968810Z","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":"2026-08-15T20:26:15.568190Z","title":"BEC- TRA: Transducer-Based End-To-End ASR with Bert-Enhanced Encoder,","venue":null,"work_id":"d9df9f09-8e18-44c6-9512-7d1e778b073a","year":2023},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.974282Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:b9d0d12a31e634897ced9aa2c2ceca3c88fd5b954d7058ca804fcf00e9a38620","observation_id":"810f6879-2918-4f9a-8214-031d00d03843","resolution":{"observed_at":"2026-08-15T20:26:15.573122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.553984Z","title":"Improving End-to-End Contextual Speech Recognition with Fine- Grained Contextual Knowledge Selection,","venue":null,"work_id":"e1c9ec64-507a-4e95-bfd7-adc752005fd4","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.978522Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:48f669ed1fd8eee8323c54c92729c525a373127bd2d2d4afd43fc73e84776798","observation_id":"625de0d0-b7e5-4c1e-8961-119748d9d393","resolution":{"observed_at":"2026-08-15T20:26:15.558655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13003","last_updated":"2023-05-28T16:13:52Z","snapshot_observed_at":"2026-08-16T15:59:08.735073Z","submitted_at":"2023-01-30T15:44:55Z","title":"Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13003","snapshot_observed_at":"2026-08-15T20:26:14.983058Z","title":"Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.983058Z"},"links":{"cited_paper":"/paper/2301.13003","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:fbc0a2c9384aab5bd0c0fcedab4489e4a686b44ce78327f03bbb6166fe9e67fe","observation_id":"0cbec93d-fe6f-4549-8488-5f5d78039929","resolution":{"observed_at":"2026-08-15T20:26:14.983058Z","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":"2026-08-15T20:26:15.539865Z","title":"A Context-aware Knowledge Transferr ing Strategy for CTC-based ASR,","venue":null,"work_id":"45177bd8-d119-40a5-8065-3ab38512e308","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.987676Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:f7b2567063c118c3ea498af2f922b95893cca91871f5341805b0cbf8998d6dc7","observation_id":"06cbcdfb-4bdd-4bf4-85dc-996cdbd1079d","resolution":{"observed_at":"2026-08-15T20:26:15.544442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.525397Z","title":"Improving CTC-Based Speech Recognition Via Knowl- edge Transferring from Pre-Trained Language Models,","venue":null,"work_id":"3cafdab5-850b-46b2-baf0-e97530f57568","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.991768Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:29a56196714d9f737f193485b04ba90b46c3b8ef4ce70397d6fe3677dc31da37","observation_id":"fc9c5884-f9bb-4e55-ae42-6a4d3de2683c","resolution":{"observed_at":"2026-08-15T20:26:15.529934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.511723Z","title":"Improving Non-Autoregressive End-to-End Speech Recogni tion with Pre-Trained Acoustic and Language Models,","venue":null,"work_id":"bab56bad-49a2-4696-8e88-a367a9838c1f","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.995614Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:0d8024cd36d5a43d3bc735ce1089df225fbf1b6adf5178ed9048c8cb6ddba3c7","observation_id":"cce1e3c5-c7cd-4316-a8ab-379fbb189228","resolution":{"observed_at":"2026-08-15T20:26:15.516255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.498644Z","title":"Attention is all you ne ed,","venue":null,"work_id":"9f45dbdc-e0a1-45a8-a809-c4c06f179cca","year":2017},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:14.999377Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:46c7e1c38ef9a74447ac6d0507134369df09bfab3aaaedaa824db1c001762fa8","observation_id":"dd2b93d8-2601-4e47-a051-8a7020da9fc6","resolution":{"observed_at":"2026-08-15T20:26:15.502620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.484953Z","title":"Villani, Optimal transport: old and new, volume 338","venue":null,"work_id":"81e03f26-68b5-436c-8636-85c036377b47","year":2009},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.003531Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:917ff336d70618af6f5e4f712869b197bc59445aea1a1300e04588271b57d523","observation_id":"60ba5f87-a836-418e-bbb7-553010016d7b","resolution":{"observed_at":"2026-08-15T20:26:15.489379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.470759Z","title":"J oint distribution optimal transportation for domain adaptation,","venue":null,"work_id":"11936287-71a2-4d49-aab8-a7642569804b","year":2017},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.007815Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:4671550503382ff0c7dd89d7b555010e5b410cabdb348c5f586b69c1293a9ed0","observation_id":"7f16b07f-ca48-476c-9e05-855273c01b32","resolution":{"observed_at":"2026-08-15T20:26:15.475482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.455999Z","title":"Unsupervised Neural A dap- tation Model Based on Optimal Transport for Spoken Language Identiﬁcation,","venue":null,"work_id":"25413799-66d4-4b1d-bbcf-cf4dea4e89a5","year":2021},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.012365Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:6400fdd3ca13b7acad051bc66135341c5385ee8878f2a0ca07232115ce52d9ce","observation_id":"82e8f793-e5c6-47f3-9a9c-6b1a89b84992","resolution":{"observed_at":"2026-08-15T20:26:15.460785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.441280Z","title":"Cross-Modal Alignmen t with Optimal Transport for CTC-Based ASR,","venue":null,"work_id":"668bea66-d03f-4368-b7fc-03d919f60cc4","year":2023},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.016696Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:24ab0a0c288819421bfd80de1b6f95bcd14d05a043e72fe7df6cefe59dcc2a75","observation_id":"1ba9cc09-7a58-4e3c-bcf0-9ab2cf39f4a3","resolution":{"observed_at":"2026-08-15T20:26:15.446080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.426666Z","title":"Temporal Order Pre- served Optimal Transport-Based Cross-Modal Knowledge Transfer Learning for ASR,","venue":null,"work_id":"8f63f25c-e0ae-46b2-a2e7-c349fbaabef2","year":2024},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.021102Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:70a4ed177d74ebf5cd9e458bbe57fddd058fcd708e12f87a1fe248d06add514e","observation_id":"8dca44ed-d4c2-47c2-be20-905582b970d2","resolution":{"observed_at":"2026-08-15T20:26:15.431374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.412258Z","title":"Unsupervised Noise Ada p- tive Speech Enhancement by Discriminator-Constrained Opt imal Transport,","venue":null,"work_id":"d4b18189-ce8c-483f-84ae-30635a8c8696","year":2021},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.025697Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:1dfc0e487ec553ce101905a28d9d761dee556a64af168decff5531ba0fdeca0b","observation_id":"94fe83f3-7720-49c2-82ee-10c58f4452cc","resolution":{"observed_at":"2026-08-15T20:26:15.416921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01798","last_updated":"2023-05-09T16:28:12Z","snapshot_observed_at":"2026-08-16T15:57:54.276463Z","submitted_at":"2023-02-03T15:10:17Z","title":"Interpretations of Domain Adaptations via Layer Variational Analysis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01798","snapshot_observed_at":"2026-08-15T20:26:15.030074Z","title":"Interpretation s of Do- main Adaptations via Layer V ariational Analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.030074Z"},"links":{"cited_paper":"/paper/2302.01798","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:ea7b87ae778c92e7edb079768006bcf2d5c728694eb2123468124466b8d388ab","observation_id":"8a69450d-23be-4aa0-8ee0-4a80a052d001","resolution":{"observed_at":"2026-08-15T20:26:15.030074Z","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":"2026-08-15T20:26:15.397409Z","title":"Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding,","venue":null,"work_id":"4e37e5c5-b9db-4239-8d50-422d1a782056","year":2021},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.034581Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:5bcff8c9a041194239423fe62fba9be0a46ba5f283cc607f75d11e230fd3948c","observation_id":"87fc308e-5073-4219-9bf1-d1f02a4158a8","resolution":{"observed_at":"2026-08-15T20:26:15.402549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14635","last_updated":"2023-05-25T08:55:41Z","snapshot_observed_at":"2026-08-16T15:30:24.159912Z","submitted_at":"2023-05-24T02:13:48Z","title":"CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14635","snapshot_observed_at":"2026-08-15T20:26:15.039002Z","title":"CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.039002Z"},"links":{"cited_paper":"/paper/2305.14635","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:b0532a4885dcbaa90902db0b7f7f3f3229744733bb6d654bc854392b9bfc1ab2","observation_id":"54b6bcc1-782d-4d28-9b2b-051f5afe95bb","resolution":{"observed_at":"2026-08-15T20:26:15.039002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.11716","last_updated":"2023-06-05T11:44:02Z","snapshot_observed_at":"2026-08-16T15:59:43.301223Z","submitted_at":"2023-01-27T14:03:09Z","title":"Pre-training for Speech Translation: CTC Meets Optimal Transport","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.11716","snapshot_observed_at":"2026-08-15T20:26:15.043490Z","title":"Pre- training for Speech Translation: CTC Meets Optimal Transpo rt,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.043490Z"},"links":{"cited_paper":"/paper/2301.11716","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:8e67aeb7a1745a2221f14d6dd8cd43dc24e7ff35707f45dbc4a5dbc6764951c4","observation_id":"4589d3b5-602e-4bab-8244-e916cb0b22e2","resolution":{"observed_at":"2026-08-15T20:26:15.043490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.08100","last_updated":"2020-05-16T20:56:25Z","snapshot_observed_at":"2026-08-15T19:06:16.181826Z","submitted_at":"2020-05-16T20:56:25Z","title":"Conformer: Convolution-augmented Transformer for Speech Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.08100","snapshot_observed_at":"2026-08-15T20:26:15.047857Z","title":"Conformer: Convolut ion augmented transformer for speech recognition,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.047857Z"},"links":{"cited_paper":"/paper/2005.08100","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:8e21a0721049bc8d10f817c17425097aaa2a71579195666df80b73de58cfb0ad","observation_id":"7ed58234-60da-43f8-ad8a-aafdf344953b","resolution":{"observed_at":"2026-08-15T20:26:15.047857Z","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":"2026-08-15T20:26:15.382548Z","title":"Sinkhorn distances: Lightspeed computati on of opti- mal transport,","venue":null,"work_id":"7c4ada0b-1da3-476d-b6d1-f79fc94040c1","year":2013},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.052708Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:be68c5c539074bb62a74a1a5105aaf0fb921b3963133e8f8925930a77c082d8c","observation_id":"2ae33012-7110-46a3-8376-1d441499541b","resolution":{"observed_at":"2026-08-15T20:26:15.387682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.366601Z","title":"Gromov-Wasserstein A verag- ing of Kernel and Distance Matrices,","venue":null,"work_id":"329902b1-9f72-4544-8d0b-736fd85da22c","year":2016},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.056924Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:50ca2e6774cfb792850557d9f8e8eff6dab8ef731693445b1a9c15d7cb65cb45","observation_id":"027748bb-1e24-49d4-ae80-97eec0c1a166","resolution":{"observed_at":"2026-08-15T20:26:15.371385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/a130902","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:15.114985Z","title":"Fused Gromov-Wasserstein Distance for Structured Objects,","venue":null,"work_id":"4ec8058f-de07-4232-8312-ea791348af47","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.061422Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:d6dca225ff37e96af5cc1efcca590733c09545f5f00cb1cdc90c4cec0d4b2536","observation_id":"16904599-1637-4662-83f2-1b32c1ef56ba","resolution":{"observed_at":"2026-08-15T20:26:15.121944Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.04307","last_updated":"2019-06-24T19:08:54Z","snapshot_observed_at":"2026-08-14T19:46:41.575700Z","submitted_at":"2018-02-12T19:06:59Z","title":"A Fast Proximal Point Method for Computing Exact Wasserstein Distance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.04307","snapshot_observed_at":"2026-08-15T20:26:15.067247Z","title":"A fast proximal point method for Wasserstein distance,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.067247Z"},"links":{"cited_paper":"/paper/1802.04307","citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:7ccbf3bd4003a7383ee02dfeb97a5b2495fb9f4163825688ad5d80a70337974e","observation_id":"6ca44a4c-1b6b-4126-ad3b-13105126f262","resolution":{"observed_at":"2026-08-15T20:26:15.067247Z","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":"2026-08-15T20:26:15.352094Z","title":"AIShell-1: An open-source mandarin speech corpus and a spe ech recognition baseline,","venue":null,"work_id":"9a42ba1b-f4e4-463b-b9b3-cb602dfe05e1","year":2017},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.072064Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:f4864b5a72114565d5481592a23298dfcfcb611e72e8227bce93a217f600250b","observation_id":"883a8f85-04e9-402a-b13f-00acb47afc9e","resolution":{"observed_at":"2026-08-15T20:26:15.356876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.338081Z","title":null,"venue":null,"work_id":"9b4fdcf2-734d-40c3-a077-8aad77532f21","year":null},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.076557Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:352af31e5847d781baf0e644f3b5026647b2a0bc109ff196f2a917634fc44dbb","observation_id":"e234ab94-06f4-4a45-aefe-dffa9a497d0f","resolution":{"observed_at":"2026-08-15T20:26:15.342742Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.323553Z","title":"Adam: A Method for Stocha stic Optimization,","venue":null,"work_id":"da63d2e3-98af-4ca3-8998-9b5996255e8f","year":2015},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.080978Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:366eea863a93407cceaf7cdad8385fa213fcdb195d32362a500014959e4c4e22","observation_id":"06ae17dc-a954-4485-ab6f-bd6622b5e6b6","resolution":{"observed_at":"2026-08-15T20:26:15.327930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:26:15.309299Z","title":"WeNet 2.0: More Productive End-to- End Speech Recognition Toolkit,","venue":null,"work_id":"ff0f5d38-a97c-49fb-b06d-72f770c4cd55","year":2022},"citing_paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:26:15.084939Z"},"links":{"citing_paper":"/paper/2505.13079"},"observation_digest":"sha256:aae9213f3db8bd948240716de48ff6f25c315cb012b0174cd87b00e6cff42432","observation_id":"43cc109d-43eb-456b-bfda-3177c4781ab2","resolution":{"observed_at":"2026-08-15T20:26:15.313907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.13079","last_updated":"2025-05-19T13:13:18Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-15T20:18:15.521280Z","submitted_at":"2025-05-19T13:13:18Z","title":"Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":12,"verified_exact":3,"verified_fuzzy":33},"total_outbound_references":49},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.13079."}