{"as_of":"2026-08-08T05:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f0e64c7a961e573ba7544923e503214abc6d2c91f5b5be3719746818e03f025","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:08:18.234670Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-08-07T06:08:15.345893Z","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":"2026-08-07T06:08:18.642200Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"cited_work":{"arxiv_id":"2506.06096","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.06096","snapshot_observed_at":"2026-08-07T06:08:18.642200Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","venue":"cs.SD","work_id":"971733c2-ebbf-4f22-9759-b7139c70a66f","year":2025},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.345893Z"},"links":{"cited_paper":"/paper/2506.06096","citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:94ee24a1617030da33d15528f38ae6ea93461faac5fa15ab8f8a94520485180a","observation_id":"fc78555d-d842-4bc9-813a-894263868c09","resolution":{"observed_at":"2026-08-07T06:08:18.729650Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.06096/citation-record","integrity":"/paper/2506.06096/integrity","json":"/paper/2506.06096/citation-record.json","paper":"/paper/2506.06096"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:08:25.123140Z","title":null,"venue":null,"work_id":"51b81bf4-e176-4afd-b148-69431067fff9","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.238702Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:541f4fc6eb2e86ad1a7c4cadd64203672537ce3c840eea496765ace5f2fea19a","observation_id":"59a5e859-73a0-4335-8814-30c4bb1cdb84","resolution":{"observed_at":"2026-08-07T06:08:25.222216Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"cited_work":{"arxiv_id":"2506.06096","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.06096","snapshot_observed_at":"2026-08-07T06:08:18.642200Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","venue":"cs.SD","work_id":"971733c2-ebbf-4f22-9759-b7139c70a66f","year":2025},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.345893Z"},"links":{"cited_paper":"/paper/2506.06096","citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:94ee24a1617030da33d15528f38ae6ea93461faac5fa15ab8f8a94520485180a","observation_id":"fc78555d-d842-4bc9-813a-894263868c09","resolution":{"observed_at":"2026-08-07T06:08:18.729650Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:24.739703Z","title":"Frame-Level Unigram Prior Estimation Label prior is a simple estimation of the ILM","venue":null,"work_id":"030291b0-7ebf-477a-b8a3-008aaaae4219","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.413847Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:b69db03cabfb1bcedce93bc4847a55635a5c6b88d335a910896438ee4c64f163","observation_id":"910c569d-7827-4a1a-bda9-cba98dad5804","resolution":{"observed_at":"2026-08-07T06:08:24.806083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:24.568162Z","title":null,"venue":null,"work_id":"a2b9273d-d099-485b-97a4-ed291a4266b1","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.511739Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:e5cd5e8165f9fe94158d8666d9d80c2b770588b161605408a17a42d21e209b27","observation_id":"03722e93-d163-491c-946f-2610df02f096","resolution":{"observed_at":"2026-08-07T06:08:24.651016Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:24.137732Z","title":"To this end, we proposed novel ILM estimation methods for CTC based on knowledge distillation (KD)","venue":null,"work_id":"520273c3-4a1f-428e-af5f-07a1e0bf5496","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.645885Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:bed830301be6218602f651aadff5daf5311906a22b9db3f85262b37c5bdf8146","observation_id":"3e5f10e2-99eb-4e71-b668-aa21bebf7ac2","resolution":{"observed_at":"2026-08-07T06:08:24.242973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:23.255212Z","title":"Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models,","venue":null,"work_id":"6f59e94d-0a4d-4f3a-90d4-5759ef5e9822","year":2021},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.117109Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:24985dba0347aeff9728f8bb64f8b43dd10e55bf8236ab73fbc3a95eaf1cc53b","observation_id":"b3d4db7f-7201-415a-90f9-701f49acd045","resolution":{"observed_at":"2026-08-07T06:08:23.343359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:23.021107Z","title":"On Language Model Integration for RNN Transducer based Speech Recogni- tion,","venue":null,"work_id":"77803f67-8f9e-45bc-a4a0-48b42fd3c3ab","year":2022},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.171929Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:e32f1bb81cbe9f42d73cc9b9f9f951e370555c49c5a2612021ceeceea834732d","observation_id":"fa4063d3-a300-4d6d-8a21-9defe48fd8dd","resolution":{"observed_at":"2026-08-07T06:08:23.173792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:23.901555Z","title":"Single Headed Attention Based Sequence-to-Sequence Model for State- of-the-Art Results on Switchboard-300,","venue":null,"work_id":"9d56f458-2e8c-4545-a09d-5eca348d6d3c","year":2020},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.735610Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:810e7708b13f12e906abdbd521e2951aa3645a7f14a0f57966a86382a1701deb","observation_id":"e2c011a9-f5d4-43aa-a790-f143c77d8d76","resolution":{"observed_at":"2026-08-07T06:08:23.998737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1211.3711","last_updated":"2012-11-14T19:25:21Z","snapshot_observed_at":"2026-07-06T02:59:58.238741Z","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":"2026-08-07T06:08:15.838563Z","title":"Sequence Transduction with Recurrent Neural Net- works,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.838563Z"},"links":{"cited_paper":"/paper/1211.3711","citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:2c3c21bb1efd346380c2d5a9445a9be64b4397fe8e9119f67d668db6fbb8f174","observation_id":"2e7e120c-db1e-4b21-a9ef-4f1fd4b5614b","resolution":{"observed_at":"2026-08-07T06:08:15.838563Z","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":"2026-08-07T06:08:23.703567Z","title":"Con- nectionist Temporal Classification: Labelling Unsegmented Se- quence Data with Recurrent Neural Networks,","venue":null,"work_id":"3b98a63a-d376-411d-9e12-3a27d9eb6e86","year":2006},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.907634Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:21e1a65cb2a05a432f8d56f46d2575fe114d5721535c19fc2bbb1ea51ac32264","observation_id":"b10cfb0a-1038-4547-b21c-4a2687b43dc3","resolution":{"observed_at":"2026-08-07T06:08:23.824429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:23.452395Z","title":"Internal Language Model Train- ing for Domain-adaptive End-to-End Speech Recognition,","venue":null,"work_id":"172ce32c-6a23-4ba8-8ecf-f41741165b07","year":2021},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.985174Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:5449c560045344ae13074d96082d44ec4c8c41369a6ac742ebb55a816f88e584","observation_id":"eda831ff-f0ad-49fb-8fce-ca532048c7be","resolution":{"observed_at":"2026-08-07T06:08:23.581866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.03006","last_updated":"2021-06-13T00:09:16Z","snapshot_observed_at":"2026-07-06T10:57:11.482450Z","submitted_at":"2021-04-07T09:18:56Z","title":"Librispeech Transducer Model with Internal Language Model Prior Correction","version":2},"cited_work":{"arxiv_id":"2104.03006","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.03006","snapshot_observed_at":"2026-08-07T06:08:18.366072Z","title":"Librispeech Transducer Model with Internal Language Model Prior Correction","venue":"cs.CL","work_id":"b51fb915-bb30-4715-80fc-103a7e3790c8","year":2021},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.054112Z"},"links":{"cited_paper":"/paper/2104.03006","citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:5e88bf901f960032468747a91267605b8530574186d1642b807222faf34f5d73","observation_id":"98fba739-6fd4-448c-8d95-2f7fc9c67925","resolution":{"observed_at":"2026-08-07T06:08:18.509497Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:24.902282Z","title":null,"venue":null,"work_id":"a2f0a0c1-c9f6-4ff2-b38a-f1499f9fa31f","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.289185Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:bd02a71765963ddd13d71d3b27ea228c413e5a9ae7758b9ce74617a333c01a04","observation_id":"09f8ae0f-5105-4b3c-b076-e40d1fde186b","resolution":{"observed_at":"2026-08-07T06:08:25.003162Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:21.528469Z","title":"Enhancing the ted- lium corpus with selected data for language modeling and more ted talks","venue":null,"work_id":"a9023dc6-477f-4dd9-930c-0c52dcc2cfa6","year":2014},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.848338Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:8f27d01f9be392dc913328627d15f76cc242955114dfe85df088baa8b958c553","observation_id":"9d9ab151-883c-4adf-b3d3-9e8e08413e6d","resolution":{"observed_at":"2026-08-07T06:08:21.654007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:22.840274Z","title":"Mask the bias: Improving domain-adaptive generalization of ctc-based asr with internal language model esti- mation,","venue":null,"work_id":"9e5cea0c-be2f-4aa1-8b73-b0a90190f8a5","year":2023},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.276697Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:4c8af510193de623d1ed1641716ab9f4765c25407f4fb80e1034eaade3a58a27","observation_id":"db268fb6-e5a1-48cf-aa83-434e3cb15721","resolution":{"observed_at":"2026-08-07T06:08:22.950858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:22.580942Z","title":"Regarding the existence of the internal language model in ctc-based e2e asr","venue":null,"work_id":"31fd8aa9-76f0-4947-9216-bffa3495911d","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.372118Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:fc663ec33560f42c926394ae35c56afa3a13e0e45b32784caad41b55eaf237b9","observation_id":"967a9d2f-4f1c-4765-b71d-85ebd9c00681","resolution":{"observed_at":"2026-08-07T06:08:22.670723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:22.373437Z","title":"Eesen: End-to-end speech recognition using deep rnn models and wfst-based decoding,","venue":null,"work_id":"c7dd3c1d-a14b-43ca-b97a-3d7b153dabb9","year":2015},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.457287Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:736cdc1e221361e85e9592484c0a8a927b3a06cf09b428697cdb304b3ca737c8","observation_id":"47e87bfb-d683-4fa6-b9b1-2e450effc557","resolution":{"observed_at":"2026-08-07T06:08:22.470957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:22.100033Z","title":"Semi-supervised max- imum mutual information training of deep neural network acous- tic models","venue":null,"work_id":"627e714f-7167-4bda-995a-9fc739f667c4","year":2015},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.572309Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:dc3ffe6ea6e140caabc52c4af7f1af88c6755490326fa6f1f6b60e6601d23212","observation_id":"2a3ee14f-b129-42e5-b775-3ecb7dc2415f","resolution":{"observed_at":"2026-08-07T06:08:22.216813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:21.911360Z","title":"Maximum a posteriori based de- coding for ctc acoustic models","venue":null,"work_id":"eb5d9209-d0a6-4c46-a660-9b68d81f54c3","year":2016},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.671666Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:6a1e79bdb4ef65b207683a4bd3a83173ee1050058c713dee7537f6cae8de393d","observation_id":"5c95ebe4-9f05-41fc-ab54-ec0ba0f5abf6","resolution":{"observed_at":"2026-08-07T06:08:21.997652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:21.762474Z","title":"Lib- rispeech: an ASR Corpus based on public Domain Audio Books,","venue":null,"work_id":"6e0e28ff-8d29-4c13-bf79-567a608af17c","year":2015},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.766957Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:85a58627c9d70df3ee0638d35275aa894dd6447a25e26bd7443d32763e13ad71","observation_id":"4d825560-91e6-4cf9-a73c-c25f8974d0bf","resolution":{"observed_at":"2026-08-07T06:08:21.846022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T06:08:17.519551Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.519551Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:f9b1149fe8f2a4db3cdde755aff6d7cd0a9f6c690a9a96fdef89ebd3e8c37671","observation_id":"cada2469-e042-44f3-9d55-189f1f069bcd","resolution":{"observed_at":"2026-08-07T06:08:17.519551Z","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":"2026-08-07T06:08:21.144824Z","title":"Supervised sequence labelling with recurrent neu- ral networks,","venue":null,"work_id":"466da06b-b46d-4bc0-adb4-9486734c4dca","year":2008},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:16.960254Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:1a4581f3d3a922c128c2bf6a7b8a4cca300489ca1e4c65ad25607698ce3f7607","observation_id":"62a5f1d6-804a-4abd-a253-626083fe17c7","resolution":{"observed_at":"2026-08-07T06:08:21.335203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:17.058751Z","title":"Hy- brid ctc/attention architecture for end-to-end speech recognition,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.058751Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:d6858bbbbe4c55d1fcc037f74e79c9bff4c45f7f3e415b66217930c2b7d880dc","observation_id":"03df2307-1961-47e2-82e2-399d761d49d5","resolution":{"observed_at":"2026-08-07T06:08:17.058751Z","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":"2026-08-07T06:08:24.414234Z","title":"We apply the time- synchronous Viterbi search implemented in RETURNN","venue":null,"work_id":"1f3f9964-c6d4-4ff3-81fd-d93dbea7fae5","year":2025},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:15.586970Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:af6f713de96026495876303a50f2d680f61245dda040a823fba83a221682767b","observation_id":"cf184689-4400-404f-9048-79d7b4e22fdf","resolution":{"observed_at":"2026-08-07T06:08:24.478192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:20.753766Z","title":"RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition,","venue":null,"work_id":"6fef5ebe-6cab-4150-ba44-313951bc91ae","year":2018},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.154664Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:f7817d7c71f279e76e872c89b39e5bce6e6953c81ea19e1ffa8c0ac6f96c5be4","observation_id":"1ed9ede5-e756-48cd-a465-90723699c218","resolution":{"observed_at":"2026-08-07T06:08:20.889371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:20.614041Z","title":"Pytorch: An imperative style, high-performance deep learning library,","venue":null,"work_id":"0e2de831-451c-4adf-9ded-14ccb3767231","year":2019},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.247644Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:eb7f89d9ca83df7edb0a545d0705d961dc74a55ba3accfe16ce0eacaed457afd","observation_id":"331ef6ce-8b3a-4c21-9227-e97832e23a33","resolution":{"observed_at":"2026-08-07T06:08:20.658410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1508.07909","last_updated":"2016-06-10T14:45:08Z","snapshot_observed_at":"2026-07-06T04:28:16.222296Z","submitted_at":"2015-08-31T16:37:31Z","title":"Neural Machine Translation of Rare Words with Subword Units","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.07909","snapshot_observed_at":"2026-08-07T06:08:17.344175Z","title":"Neural machine translation of rare words with sub- word units,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.344175Z"},"links":{"cited_paper":"/paper/1508.07909","citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:2b81d30077fcbab96d3b4d698ad993418f517bd916808ce966d00b03b51e2eb5","observation_id":"783625eb-aa76-4ec1-808e-2d8d83c73e9a","resolution":{"observed_at":"2026-08-07T06:08:17.344175Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:08:17.440678Z","title":"Conformer: Convolution-augmented transformer for speech recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.440678Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:f464b13e31e27b7f5698bee535fc71bd6386df53fd059f1a3f97c640730b59de","observation_id":"d436b5b6-e8f8-4da0-83fc-9e242d4d2fe2","resolution":{"observed_at":"2026-08-07T06:08:17.440678Z","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":"2026-08-07T06:08:20.326151Z","title":"Advancing rnn transducer technology for speech recognition,","venue":null,"work_id":"38fe70b3-41a9-4fbd-85c5-6bf1ec0abebc","year":2021},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.621470Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:022ffb640b047eb697a285b3488f8c281b55bbd38c9322dfd0ae6e85dcc29a81","observation_id":"5b857166-3e9c-47e9-873e-77088cdac476","resolution":{"observed_at":"2026-08-07T06:08:20.497520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:20.052827Z","title":"Dynamic encoder size based on data-driven layer-wise pruning for speech recognition,","venue":null,"work_id":"92e9fb7b-1038-4f42-980e-659dbe6e1151","year":2024},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.701389Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:5e3260807ed950411bc73fd029a2ce0f16f3d545d89a54c0a89fe96d94b0f444","observation_id":"ee0d8f90-e55d-4d50-8240-cbbb8a3b3565","resolution":{"observed_at":"2026-08-07T06:08:20.161998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:19.836601Z","title":"Language Modeling with Deep Transformers,","venue":null,"work_id":"596dced9-a133-4739-b867-e8e145b2f5ae","year":2019},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.798633Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:c6ae140187e43e0a6e247fc3228b6a01504b3bb5f751edbf328dce416b65634a","observation_id":"f7e089e6-08e2-4c95-8b72-63ba2b4268e7","resolution":{"observed_at":"2026-08-07T06:08:19.924605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:19.601660Z","title":"On the relation be- tween internal language model and sequence discriminative train- ing for neural transducers,","venue":null,"work_id":"86d85c0a-a9ba-4ec6-b128-21ea849ef9a6","year":2024},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.881390Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:af9edaa46bea406ecb7f69479e1ca87017b35e0a4108128d048b83632dc31696","observation_id":"d20719d6-7d10-4e59-8f81-fef807224dbd","resolution":{"observed_at":"2026-08-07T06:08:19.749786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:19.312072Z","title":"Testing the correlation of word error rate and perplexity,","venue":null,"work_id":"13f03da6-a6a4-4f22-8c8a-97db2a52bd4b","year":2002},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:17.978091Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:f30ed5f856e0f764b8c8560490a413777b67150a64ef4f33250e15721fc7224e","observation_id":"2e441efa-6b92-48d7-81f4-dfe72911ca88","resolution":{"observed_at":"2026-08-07T06:08:19.453978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:19.045649Z","title":"Advancing neural language modeling in automatic speech recognition","venue":null,"work_id":"10138307-d919-461a-8732-264b18173add","year":2020},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:18.082243Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:295d02fe359f5e232d96389b08dd98c21ccd7cbdbaa4411c08478fd43c325ece","observation_id":"31a334c7-e272-4241-8910-5e1ff3fe014d","resolution":{"observed_at":"2026-08-07T06:08:19.187240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:08:18.828984Z","title":null,"venue":null,"work_id":"659b453d-fc15-4e30-8f59-14b1fc554566","year":null},"citing_paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T06:08:18.234670Z"},"links":{"citing_paper":"/paper/2506.06096"},"observation_digest":"sha256:2afef57387632bf6cb1c35fca5df30c854a04b0a317ec79ee1d3574a7e3c5f9a","observation_id":"33e0c866-ff1d-46d1-97ca-4dfc94f5b041","resolution":{"observed_at":"2026-08-07T06:08:18.949579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06096","last_updated":"2025-06-06T13:54:43Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-07T05:58:04.320311Z","submitted_at":"2025-06-06T13:54:43Z","title":"Label-Context-Dependent Internal Language Model Estimation for CTC"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":24},"total_outbound_references":35},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.06096."}