{"as_of":"2026-08-18T15:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:46e1b0e4a0d69ce43a66439a6f90ea2d5f96e77589a7a4005c0916862775b830","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":"2026-08-11T04:37:43.712432Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.00039/citation-record","integrity":"/paper/2501.00039/integrity","json":"/paper/2501.00039/citation-record.json","paper":"/paper/2501.00039"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-11T04:37:43.548925Z","title":"The llama 3 herd of models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.548925Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:47d5eb6fb5744f1b41a995e4964a90d81f885d14d9485daab64ef05c4168f618","observation_id":"5b63fad4-9c5e-459f-bd50-b92c3813cfc1","resolution":{"observed_at":"2026-08-11T04:37:43.548925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07726","last_updated":"2024-10-10T17:28:23Z","snapshot_observed_at":"2026-08-08T07:16:45.596308Z","submitted_at":"2024-07-10T14:57:46Z","title":"PaliGemma: A versatile 3B VLM for transfer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07726","snapshot_observed_at":"2026-08-11T04:37:43.554790Z","title":"Paligemma: A versatile 3b vlm for transfer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.554790Z"},"links":{"cited_paper":"/paper/2407.07726","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:db0452c60850b8cccc20316efbf5e322857ed4e4089910d4194d7139823db39c","observation_id":"bacb8168-7c84-48b4-b96f-e5985e267623","resolution":{"observed_at":"2026-08-11T04:37:43.554790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-11T04:37:43.559902Z","title":"Gemini: a family of highly capable multimodal models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.559902Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:8526f24b043b7d51b0e29a15b0d6fced90c154b7b29e989b439ca26cdaac49a2","observation_id":"fa5dfc98-aad5-4bbe-9d94-eb030693769f","resolution":{"observed_at":"2026-08-11T04:37:43.559902Z","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":"2026-08-11T04:37:44.267992Z","title":"Visual instruction tuning,","venue":null,"work_id":"1416618f-27aa-4bd3-8817-905551062c45","year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.565322Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:2d63d48f5d2a390c2e4e5475442fa942828a84a385d804ffc9a7901b6a2b650b","observation_id":"55b79998-d6db-4aee-909c-491448a112ee","resolution":{"observed_at":"2026-08-11T04:37:44.272812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11000","last_updated":"2023-05-19T14:41:16Z","snapshot_observed_at":"2026-08-16T15:31:59.521123Z","submitted_at":"2023-05-18T14:23:25Z","title":"SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11000","snapshot_observed_at":"2026-08-11T04:37:43.570480Z","title":"Speechgpt: Empowering large language models with intrinsic cross- modal conversational abilities,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.570480Z"},"links":{"cited_paper":"/paper/2305.11000","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:660c1709b957082f025e4cc387f6a1290621b172a1874e314e2a2a452eaa0055","observation_id":"790dc13b-114f-4428-9a55-fd60acbbd6bd","resolution":{"observed_at":"2026-08-11T04:37:43.570480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12925","last_updated":"2023-06-22T14:37:54Z","snapshot_observed_at":"2026-08-07T01:18:02.068918Z","submitted_at":"2023-06-22T14:37:54Z","title":"AudioPaLM: A Large Language Model That Can Speak and Listen","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12925","snapshot_observed_at":"2026-08-11T04:37:43.575623Z","title":"Audiopalm: A large language model that can speak and listen,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.575623Z"},"links":{"cited_paper":"/paper/2306.12925","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:cb8769993440cb0886df99c15c5858d9638303b2679a767767217153e0f0e5b0","observation_id":"6de8fffe-199d-4ac2-922d-ee5cd397be97","resolution":{"observed_at":"2026-08-11T04:37:43.575623Z","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":"2026-08-11T04:37:44.252891Z","title":"Prompting large language models with speech recognition abilities,","venue":null,"work_id":"164c4b5b-54e0-4526-914f-aa1af15be5c3","year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.581157Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:e5c1f661a5a293a03ce01f019ffabeb7bd7be3793fb94f29f62a794dd5ddeeb3","observation_id":"0ea3aa56-9b68-4d8e-9070-99c0803582ca","resolution":{"observed_at":"2026-08-11T04:37:44.257884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T04:37:43.585716Z","title":"Large- scale language model rescoring on long-form data,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.585716Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:513c69c9a894b2ddeff53403cf595a7a81e7fcff3270a626eecd25d3edefcf2b","observation_id":"593741ac-6b5b-4bac-8e19-394753a912fe","resolution":{"observed_at":"2026-08-11T04:37:43.585716Z","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":"2026-08-11T04:37:44.227455Z","title":"Adapting gpt, gpt-2 and bert language models for speech recognition,","venue":null,"work_id":"172773f0-d263-42a3-b2cc-698cabe16ea2","year":2021},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.590074Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:f39f1c8118a44ff98abcb8188af477d265764682e1a5230da8abc8fe1e03194b","observation_id":"1c49b68f-1b25-450d-8d16-01d100ea34a0","resolution":{"observed_at":"2026-08-11T04:37:44.232363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T04:37:44.211757Z","title":"Rescorebert: Discriminative speech recog- nition rescoring with bert,","venue":null,"work_id":"bbbfcbf5-715d-488c-a0e4-460a6403c8d1","year":2022},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.594922Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:8d9b57bc3281a70d00c018f1e12ebf6333a05496fe490c7bdf45251430857c47","observation_id":"078ca27c-9dca-491b-8415-b64c9fe38552","resolution":{"observed_at":"2026-08-11T04:37:44.217144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T04:37:43.599631Z","title":"On decoder-only architecture for speech-to-text and large language model integration,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.599631Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:e38c9748dfdcc1699de6257783d13d4daa0f09f2104e04dde40621e2a1c7ad70","observation_id":"9ed696b6-1258-47ee-9f46-0c62ccb8be1b","resolution":{"observed_at":"2026-08-11T04:37:43.599631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08846","last_updated":"2024-02-13T23:25:04Z","snapshot_observed_at":"2026-08-16T14:18:48.581750Z","submitted_at":"2024-02-13T23:25:04Z","title":"An Embarrassingly Simple Approach for LLM with Strong ASR Capacity","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.08846","snapshot_observed_at":"2026-08-11T04:37:43.604031Z","title":"An embarrassingly simple approach for llm with strong asr capacity,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.604031Z"},"links":{"cited_paper":"/paper/2402.08846","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:1cb10ec7b36c490af4e4c8ba1f0e55220421ab5ff2185822237631fd2634867f","observation_id":"8b07a1cf-c006-4967-be64-5fd4e3536c5a","resolution":{"observed_at":"2026-08-11T04:37:43.604031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10591","last_updated":"2022-09-21T18:33:33Z","snapshot_observed_at":"2026-08-16T16:30:49.458699Z","submitted_at":"2022-09-21T18:33:33Z","title":"Assessing ASR Model Quality on Disordered Speech using BERTScore","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.10591","snapshot_observed_at":"2026-08-11T04:37:43.608978Z","title":"Assessing asr model quality on disordered speech using bertscore,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.608978Z"},"links":{"cited_paper":"/paper/2209.10591","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:9c881943fbc38fc1dac6a65ff6b9d6815b85548634f3c7732bb1d4b074419861","observation_id":"a051fe1c-1538-4e3e-af1a-e817a4acc30c","resolution":{"observed_at":"2026-08-11T04:37:43.608978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02138","last_updated":"2021-04-05T20:25:07Z","snapshot_observed_at":"2026-08-16T18:33:45.076766Z","submitted_at":"2021-04-05T20:25:07Z","title":"Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02138","snapshot_observed_at":"2026-08-11T04:37:43.613765Z","title":"Semantic distance: A new metric for asr perfor- mance analysis towards spoken language understanding,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.613765Z"},"links":{"cited_paper":"/paper/2104.02138","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:9dca8a9beabe30a4081d8e22b4ca889a1bb3b9f8d7b501098cafdeafb45fbf49","observation_id":"7fb3fb43-bacd-48bc-af1a-2e61f0ab736d","resolution":{"observed_at":"2026-08-11T04:37:43.613765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05737","last_updated":"2023-04-28T21:40:15Z","snapshot_observed_at":"2026-08-16T15:49:18.973720Z","submitted_at":"2023-03-10T06:46:23Z","title":"Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings","version":4},"cited_work":{"arxiv_id":"2303.05737","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.05737","snapshot_observed_at":"2026-08-11T04:37:43.963966Z","title":"Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings","venue":"eess.AS","work_id":"63c78534-a0b1-4f40-b336-baec7973df39","year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.618691Z"},"links":{"cited_paper":"/paper/2303.05737","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:a0af8d90117ff3282972ed804ead0daedf7fc13d220de7479426701f63ad5bd6","observation_id":"6c6469a6-7ae4-41ec-81ea-2ff839bf8e70","resolution":{"observed_at":"2026-08-11T04:37:43.968718Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T04:37:44.186804Z","title":"Large language models as a proxy for human evaluation in assessing the comprehensibility of disordered speech transcription,","venue":null,"work_id":"f7548c7f-394b-4da8-9432-69c22b9180cb","year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.623099Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:19cad0fe985811fc5a9d90a06cc315690ed83711d0a7718fed2b370c301aeaab","observation_id":"25d07bfe-9a6e-42f8-a51c-c305ca521a48","resolution":{"observed_at":"2026-08-11T04:37:44.191798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-11T04:37:43.627174Z","title":"Bertscore: Evaluating text generation with bert,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.627174Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:9abe9eea0fd5e16668891d06d3654e2c65383ff995fab2d9b64749692749693a","observation_id":"c068aa08-0391-4468-8675-10bac49321f8","resolution":{"observed_at":"2026-08-11T04:37:43.627174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.06226","last_updated":"2018-08-19T16:49:06Z","snapshot_observed_at":"2026-07-06T06:56:20.935388Z","submitted_at":"2018-08-19T16:49:06Z","title":"SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.06226","snapshot_observed_at":"2026-08-11T04:37:43.631679Z","title":"Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.631679Z"},"links":{"cited_paper":"/paper/1808.06226","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:ca51148a5f4b755c79bcfd5be57af6f8d5346c64db4e9b650e8bb39a31098d07","observation_id":"d1f3a5a7-2b51-4fb2-b6af-984422fe9d00","resolution":{"observed_at":"2026-08-11T04:37:43.631679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-11T04:37:43.636183Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.636183Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:7f8633b203bc89e7d5b90d73e951ed8a7c68771557c95a2ff6b9eadbea81cd4e","observation_id":"d52aa861-c76c-4501-8234-3927ac842b96","resolution":{"observed_at":"2026-08-11T04:37:43.636183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01037","last_updated":"2023-09-25T01:20:23Z","snapshot_observed_at":"2026-08-16T15:51:28.593814Z","submitted_at":"2023-03-02T07:47:18Z","title":"Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01037","snapshot_observed_at":"2026-08-11T04:37:43.641130Z","title":"Google usm: Scaling automatic speech recognition beyond 100 languages,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.641130Z"},"links":{"cited_paper":"/paper/2303.01037","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:568f83c589fa0ce56ac60b318be850a8234ed761877313f5d8b52fb8bcbd5b9c","observation_id":"8ff57ad9-efa4-441f-926d-0ead4ae47bcc","resolution":{"observed_at":"2026-08-11T04:37:43.641130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-11T04:37:43.646484Z","title":"Gemma: Open models based on gemini research and technology,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.646484Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:064893b728933655ba0ba725b743c57c868c70d8d9cbd678b337fe0f2dfc41a5","observation_id":"647d54a2-b27c-4171-8e1d-1749c74059ea","resolution":{"observed_at":"2026-08-11T04:37:43.646484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-17T01:19:18.409791Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-11T04:37:43.651395Z","title":"Vaswani, arXiv preprint arXiv:1706.03762 , 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.651395Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:796b193d5f2d0a9300437af5a1de3ca06a17ddd57065500c2dd2a1b2e6619db0","observation_id":"01dd0d97-e182-48f3-b2d2-0a1c6e8d040d","resolution":{"observed_at":"2026-08-11T04:37:43.651395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02150","last_updated":"2019-11-06T00:19:05Z","snapshot_observed_at":"2026-07-06T08:35:01.386074Z","submitted_at":"2019-11-06T00:19:05Z","title":"Fast Transformer Decoding: One Write-Head is All You Need","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02150","snapshot_observed_at":"2026-08-11T04:37:43.656333Z","title":"Fast transformer decoding: One write-head is all you need,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.656333Z"},"links":{"cited_paper":"/paper/1911.02150","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:a269cbb1b7a3dd985ae9bbb3023408106f20374fad7ec224fafa7d91bb18bbd0","observation_id":"dda1dd8c-ceb9-47cd-b132-51b7fff6bb24","resolution":{"observed_at":"2026-08-11T04:37:43.656333Z","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":"2026-08-11T04:37:43.661118Z","title":"Librispeech: An asr corpus based on public domain audio books,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.661118Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:aee0d5d7bc5c1a3f17f498945526b9bb5a7d1a081594136b1eca2774d3d5d9e2","observation_id":"1bcfa2df-5901-480d-b72f-79af7642a9ee","resolution":{"observed_at":"2026-08-11T04:37:43.661118Z","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":"2026-08-11T04:37:44.160459Z","title":"Disordered speech data collection: Lessons learned at 1 million utterances from project euphonia","venue":null,"work_id":"2ed644bc-66f4-4da6-879f-b5ea3161f8ce","year":2021},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.665661Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:ea3ef54c7b8cdd2b6c456e961ad2beadb59018ff7b6398bc64fe8113789dc29c","observation_id":"4f183117-25a4-415c-973e-9a0c34d3a8f2","resolution":{"observed_at":"2026-08-11T04:37:44.165920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T04:37:44.144592Z","title":"Au- tomatic speech recognition of disordered speech: Personalized models outperforming human listeners on short phrases","venue":null,"work_id":"b7280437-4582-4273-9614-789cdcbb09ea","year":2021},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.670153Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:8408092bbd5571363158310aa9eace92a6a24047af7f098357ca2103294e5619","observation_id":"f0a82d79-8c48-42da-a019-3f28f8194a70","resolution":{"observed_at":"2026-08-11T04:37:44.149721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T04:37:43.674626Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.674626Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:a821dadcf114469325b7e4dca3b3bc2b591c91cd03793e0132a33a51260a96d1","observation_id":"5716e530-6845-48b8-aabe-54f8ef929d2a","resolution":{"observed_at":"2026-08-11T04:37:43.674626Z","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":"2026-08-11T04:37:44.118346Z","title":"Automatic speech recog- nition of conversational speech in individuals with disordered speech,","venue":null,"work_id":"e95be4ca-a27c-4daf-8281-014b557decd0","year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.679083Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:7e204bddc1483ef44b44d0e66f4b0224b8c7deb6a7bdd99ac0dfa141887c906a","observation_id":"d4f8a2d8-a599-40e0-a105-cdbeb8b1b93e","resolution":{"observed_at":"2026-08-11T04:37:44.123498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09244","last_updated":"2024-08-16T23:59:29Z","snapshot_observed_at":"2026-08-16T14:34:38.657827Z","submitted_at":"2023-12-14T18:59:04Z","title":"Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09244","snapshot_observed_at":"2026-08-11T04:37:43.683816Z","title":"Helping or herding? reward model ensembles mitigate but do not eliminate reward hacking,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.683816Z"},"links":{"cited_paper":"/paper/2312.09244","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:c9d880c577fd1e7b25f89b8619f7896cc5899d66f81365c026e8583d0fb8e3a8","observation_id":"26400659-40c8-4a9f-93dc-d29f51350340","resolution":{"observed_at":"2026-08-11T04:37:43.683816Z","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":"2026-08-11T04:37:44.103615Z","title":"Scaling laws for reward model overoptimization,","venue":null,"work_id":"5263ea45-ddba-4f82-b24f-fc382ea6c7b7","year":2023},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.688584Z"},"links":{"citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:4f0ec6db6783951c4ccbd87dabc025c2aa772090cc6316c834483b553ca2dc81","observation_id":"76e697c4-79f2-4b76-90ef-7f4fbee55be4","resolution":{"observed_at":"2026-08-11T04:37:44.108179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.08714","last_updated":"2023-06-01T06:30:59Z","snapshot_observed_at":"2026-08-16T16:15:47.721857Z","submitted_at":"2022-11-16T07:10:02Z","title":"Reward Gaming in Conditional Text Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.08714","snapshot_observed_at":"2026-08-11T04:37:43.692891Z","title":"Reward gaming in conditional text generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.692891Z"},"links":{"cited_paper":"/paper/2211.08714","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:2e010d1ad4ce7de03cf5b0c572c02561ca6b2b88c9ebca2b5e8a228029e31264","observation_id":"4faea8dc-623a-425c-b84a-d15495a440aa","resolution":{"observed_at":"2026-08-11T04:37:43.692891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00742","last_updated":"2024-07-19T05:12:15Z","snapshot_observed_at":"2026-08-16T14:22:26.545508Z","submitted_at":"2024-02-01T16:39:28Z","title":"Transforming and Combining Rewards for Aligning Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00742","snapshot_observed_at":"2026-08-11T04:37:43.697884Z","title":"Transforming and combining rewards for aligning large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.697884Z"},"links":{"cited_paper":"/paper/2402.00742","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:c9bf09b811f8a061313f6321f9c39dc5f936343d94657d255636e22d98b0ae8b","observation_id":"7f4a72c2-4579-406e-9786-47ad96cedb5e","resolution":{"observed_at":"2026-08-11T04:37:43.697884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-15T20:26:32.102285Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-11T04:37:43.702896Z","title":"Prox- imal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.702896Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:1ae9f87ebd7a26300bc565f24277e54e17af40466fd1dd8cd1aebd7e34392bab","observation_id":"e3122e36-6e2e-45af-b66a-294be3db24d1","resolution":{"observed_at":"2026-08-11T04:37:43.702896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-13T19:43:49.936776Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-11T04:37:43.707737Z","title":"Mixtral of experts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.707737Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:e38e6dff0449872e52c4cef6477db9f112badc2243d95473a452bb54917cd972","observation_id":"fa21228b-ce79-42c9-84ce-0697de9c81ed","resolution":{"observed_at":"2026-08-11T04:37:43.707737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00399","last_updated":"2024-12-27T03:53:21Z","snapshot_observed_at":"2026-08-16T14:04:59.283696Z","submitted_at":"2024-03-30T15:38:54Z","title":"Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code","version":3},"cited_work":{"arxiv_id":"2404.00399","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.00399","snapshot_observed_at":"2026-08-11T04:37:43.750546Z","title":"Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code","venue":"cs.CL","work_id":"8f9d1189-fc0c-460e-a0ec-2c5a2ee599b6","year":2024},"citing_paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T04:37:43.712432Z"},"links":{"cited_paper":"/paper/2404.00399","citing_paper":"/paper/2501.00039"},"observation_digest":"sha256:9080d900a40ee2d4f44ed3b8daded4ff0d37846dc36db8dff9f872ea526b2f7b","observation_id":"c642fc75-367e-4403-a5e8-60786b7e944c","resolution":{"observed_at":"2026-08-11T04:37:43.758490Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.00039","last_updated":"2024-12-25T00:16:22Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-16T21:11:49.312657Z","submitted_at":"2024-12-25T00:16:22Z","title":"Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":2,"verified_fuzzy":9},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.00039."}