{"as_of":"2026-08-10T09:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3de60180ac87eccda11985c7439b8bd427416aad1be6463c9089a748936b6200","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:43:11.659473Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-08-07T13:43:08.275251Z","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":"2026-08-07T13:43:11.881822Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.21148","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.21148","snapshot_observed_at":"2026-08-07T13:43:11.881822Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","venue":"cs.CL","work_id":"2b44cb3d-f3d0-4184-ab2e-eba798e6ea9e","year":2025},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.275251Z"},"links":{"cited_paper":"/paper/2505.21148","citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:01bee0d87410bf1a68dc921e0053c09cadb4d35f4b69e09b81d942b1a1b94b42","observation_id":"4f564c82-ecd3-4b9e-b49d-5424f77d06e9","resolution":{"observed_at":"2026-08-07T13:43:11.949742Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.21148/citation-record","integrity":"/paper/2505.21148/integrity","json":"/paper/2505.21148/citation-record.json","paper":"/paper/2505.21148"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.21148","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.21148","snapshot_observed_at":"2026-08-07T13:43:11.881822Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","venue":"cs.CL","work_id":"2b44cb3d-f3d0-4184-ab2e-eba798e6ea9e","year":2025},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.275251Z"},"links":{"cited_paper":"/paper/2505.21148","citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:01bee0d87410bf1a68dc921e0053c09cadb4d35f4b69e09b81d942b1a1b94b42","observation_id":"4f564c82-ecd3-4b9e-b49d-5424f77d06e9","resolution":{"observed_at":"2026-08-07T13:43:11.949742Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:18.071359Z","title":"A”to“F”) based on the candidate’s speech responses. Here, a function scoreis used to map each text-based grade into its numeric class (e.g. label“A","venue":null,"work_id":"e8129273-ed42-49a5-a54d-9e70c31e2c48","year":null},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.343725Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:006295578ea191d2e79e580f1670625991e25a9ca0d41018b76a591f5eefe963","observation_id":"db3fd436-dfd1-4d31-88ea-5c1a9111c7a5","resolution":{"observed_at":"2026-08-07T13:43:18.142777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:17.918364Z","title":null,"venue":null,"work_id":"e068afac-79fb-49f1-86ef-4ab9ecc385dd","year":2025},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.447502Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:822e78ddc79852b4ede9efb0e6d87c544636f547b601dd42ec1b2130b4e3c3ad","observation_id":"30ba7415-b38f-4eb2-a86e-cd53f4022309","resolution":{"observed_at":"2026-08-07T13:43:17.973911Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:17.720730Z","title":"Vari- ous training and decoding schemes are compared on Linguaskill and S&I datasets","venue":null,"work_id":"e001bd38-287c-43e0-8198-75e3123033c1","year":null},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.518038Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:7a411c2f88236f426ca983ed3256d987371b0e33220dab639f2f040a711e8efe","observation_id":"f06beabb-2e53-4953-990d-10e11bea2fb1","resolution":{"observed_at":"2026-08-07T13:43:17.803088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:17.561513Z","title":"Automatic evaluation and training in English pronuncia- tion,","venue":null,"work_id":"47f80f37-7244-4a50-91ff-f666ffccc32a","year":1990},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.589332Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:7c6e45f9e6bc398e961504e839508d0d0080436782d467c657280104d054ec31","observation_id":"c5b05755-a48e-4b11-bcbd-93aaf93ac195","resolution":{"observed_at":"2026-08-07T13:43:17.631824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:17.324417Z","title":"Automatic evaluation of Dutch pronunciation by using speech recognition technology,","venue":null,"work_id":"2751d6c2-f1ce-484f-8cde-e62170c9b2c0","year":1997},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.665428Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:ec47baad1db9c46bf7829fa8af89b96ed8a440849806ea5373a0b6c1d5f077cc","observation_id":"c41db8db-8aa2-4dc1-960c-88c9bb0c5793","resolution":{"observed_at":"2026-08-07T13:43:17.399791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:17.108857Z","title":"The SRI EduSpeak™ system: Recog- nition and pronunciation scoring for language learning,","venue":null,"work_id":"7c7e5b61-d808-4086-9e38-b0914029ac7c","year":2000},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.718276Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:1a9a906eda2f7e32de78153283d5ed0e0d41da2c21a587dbdc33f8592799f8e8","observation_id":"c94c84fa-b4cb-4def-b655-7436311d081e","resolution":{"observed_at":"2026-08-07T13:43:17.211243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:16.930291Z","title":"Speechrater: A construct- driven approach to scoring spontaneous non-native speech,","venue":null,"work_id":"6cf3a7a4-ef34-4cfb-8221-b0e6a7e15150","year":2007},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.838951Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:84d4e002e365677368bbf1f525c3cc1ad58d426752df2665d21a286ea0702c30","observation_id":"7a85fbe4-97b7-4e42-bbe3-1519c08d8cf8","resolution":{"observed_at":"2026-08-07T13:43:17.000472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:16.720921Z","title":"The use of DBN-HMMs for mispronunciation detection and diagnosis in L2 English to sup- port computer-aided pronunciation training,","venue":null,"work_id":"78b48901-a695-469d-960e-b66d0cda094c","year":2012},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:08.949886Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:71a0ca626cf21bc54a0a2bf417ba22d9a111390d06fe829eebbb1c7aad29af4e","observation_id":"4dc075d3-811a-4795-a372-282f589740fc","resolution":{"observed_at":"2026-08-07T13:43:16.808977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:16.561172Z","title":"Improvements to an automated con- tent scoring system for Spoken CALL responses: the ETS sub- mission to the Second Spoken CALL Shared Task","venue":null,"work_id":"788ac353-3aca-41e4-8973-1b83046cbe56","year":2018},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.000036Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:f80ae70a4394dc48490f58ab524df9b4a5468d43b4d0596871a8a15fa6d2f64c","observation_id":"01112f90-8a76-4a55-921b-0f9c22fa9984","resolution":{"observed_at":"2026-08-07T13:43:16.625062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:16.393406Z","title":"The University of Birm- ingham 2019 Spoken CALL Shared Task Systems: Exploring the importance of word order in text processing,","venue":null,"work_id":"353077fa-1ded-4cc8-8f12-b84821b2e05d","year":2019},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.135603Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:11f3efa91732af32b7b27a3216c38850e1f6909c680e16dbd9dec356b719b3a3","observation_id":"f6321a22-fb08-4337-ae96-85e21b073e10","resolution":{"observed_at":"2026-08-07T13:43:16.468673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:16.208318Z","title":"BERT: Pre- training of deep bidirectional transformers for language under- standing,","venue":null,"work_id":"3340587c-fb4e-417f-b62f-8601acd1cf58","year":2019},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.244688Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:e5a6a9295d56a87fbc917d49d5cf339affbc3e0dc7a813f1c711c9c94bcfbf11","observation_id":"d5e61fe0-009d-4ea0-8d53-93cbca84a0ea","resolution":{"observed_at":"2026-08-07T13:43:16.309065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:16.037764Z","title":"Universal adversarial attacks on spoken language assessment systems,","venue":null,"work_id":"5a93cd29-6aa9-4ae5-abdf-837161df1bcc","year":2020},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.368878Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:30e7ab5fc9241366acb979c7f953737cb68c83ff3d921a170ee238241a36c074","observation_id":"3e0be34d-3fe6-4666-be24-b9b3bee750cd","resolution":{"observed_at":"2026-08-07T13:43:16.094052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:15.834476Z","title":"Automated scoring of spontaneous speech from young learners of English using transformers,","venue":null,"work_id":"ffda4643-7e68-40e7-bc31-6009e32b6d7a","year":2021},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.489617Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:3d56fcb71fd8a3539a8ddc60baef61116732c58a3fab3d3d87d3a12e2120ef88","observation_id":"f18eb159-04ec-400b-81a6-2a5b47901109","resolution":{"observed_at":"2026-08-07T13:43:15.917037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:15.616398Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,","venue":null,"work_id":"68bc0fd9-4241-4134-98bf-148ed3c00d5a","year":2020},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.583552Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:618883de9f79355cd8ba076a4df56bce29672b9d0590a4d25ba589719d1483aa","observation_id":"e110f760-9eb3-4451-882a-9828fe2047fc","resolution":{"observed_at":"2026-08-07T13:43:15.706564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:09.705848Z","title":"HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.705848Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:c3759546ec276e3871802e8849490f8b4879e163c0bc1fe537d81d73f45a32e2","observation_id":"e1ea675b-df17-4a9e-8818-6d6ede884051","resolution":{"observed_at":"2026-08-07T13:43:09.705848Z","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":"2026-08-07T13:43:15.414164Z","title":"A Study on Fine- Tuning wav2vec2.0 Model for the Task of Mispronunciation De- tection and Diagnosis,","venue":null,"work_id":"0a9bf247-000b-491a-9eaa-897590200658","year":2021},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.800828Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:93815566fe3c9a80443b5cbbdd38cbdc81e356771e3253c39335e85ea84b8ae8","observation_id":"19bf52a7-4888-44c9-8b2a-16ce19250702","resolution":{"observed_at":"2026-08-07T13:43:15.477910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:15.161674Z","title":"Transformer based end-to-end mispronunciation detection and diagnosis,","venue":null,"work_id":"04be07e8-1fdb-4d09-960e-65bf4cfe09be","year":2021},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.867162Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:1ecce9ad83233f18d1c328c511cc6eb18a8aa6a9afde183013c894907ae6b3d9","observation_id":"9c7eda7d-c5f2-445f-9a31-1d77d85374be","resolution":{"observed_at":"2026-08-07T13:43:15.294293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:14.979076Z","title":"Explore wav2vec 2.0 for Mispronunciation Detection,","venue":null,"work_id":"e472dddd-503c-4207-b91d-91968228cc30","year":2021},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:09.938480Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:82eaa338acc9498a279395c79b129eb9cc15acd620f789f376c5b3a69c87e1a5","observation_id":"5f1f8575-6613-4f65-a40e-21bdbd720b55","resolution":{"observed_at":"2026-08-07T13:43:15.075946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:14.790830Z","title":"Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learn- ing,","venue":null,"work_id":"1d047129-8c3d-4cba-a7d4-9d79344d1a62","year":2022},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.017695Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:41c55a0f7752b5d5dcd58af67e8a78d51432efd2e436f2945e22ad793a4b73be","observation_id":"b77915ca-0cf0-40c0-988c-6c1a20f433bf","resolution":{"observed_at":"2026-08-07T13:43:14.864060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:14.635647Z","title":"Proficiency assessment of L2 spo- ken English using wav2vec 2.0,","venue":null,"work_id":"325314ef-6e4d-41e4-b4cd-74978dc42f53","year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.127018Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:0c671c80481cacecf15563bb405686204e41597a50fec7bca2695043a9d0afbc","observation_id":"1b7bd062-1843-4f20-8db7-f1c4c749da25","resolution":{"observed_at":"2026-08-07T13:43:14.709407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:14.456973Z","title":"Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning,","venue":null,"work_id":"baf5bdf5-b698-423f-b395-ade1e2bca8f8","year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.180642Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:24744595ae44deed004ba7c8677d25f42b45a6870ce287cffc92ab4236187b3f","observation_id":"c13d8874-57c1-42e1-924d-0509bf1eb878","resolution":{"observed_at":"2026-08-07T13:43:14.525929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:14.270759Z","title":"Automatic assessment of conversational speak- ing tests,","venue":null,"work_id":"f88a49a6-e14f-47b7-af99-3c2eb164b27a","year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.269026Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:93bd118deea12bbbd297c71adc7c4692542b22721e7cc9a1a0eee93ccbfb3ef0","observation_id":"3d8a2c7b-d357-41dd-bd8d-8699355a7cf3","resolution":{"observed_at":"2026-08-07T13:43:14.341490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:14.013340Z","title":"SALMONN: Towards Generic Hearing Abilities for Large Language Models,","venue":null,"work_id":"c12498ef-143a-49fe-8b91-1a9734c2532a","year":null},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.368020Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:f3f392af6710897dd4963019959d8d670b73850b5197d303fa57419f6507c8f6","observation_id":"715e95f1-bdce-437e-b570-8572eabb2a57","resolution":{"observed_at":"2026-08-07T13:43:14.103089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07919","last_updated":"2023-12-21T10:20:42Z","snapshot_observed_at":"2026-08-07T10:17:55.688598Z","submitted_at":"2023-11-14T05:34:50Z","title":"Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07919","snapshot_observed_at":"2026-08-07T13:43:10.466863Z","title":"Qwen-audio: Advancing universal audio understand- ing via unified large-scale audio-language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.466863Z"},"links":{"cited_paper":"/paper/2311.07919","citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:c8e7558f4323d60405eda6664d48b4a95e2e41ae14a560814b29f707e693388b","observation_id":"95378c91-87e8-437f-82eb-771c5d057cf6","resolution":{"observed_at":"2026-08-07T13:43:10.466863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10759","last_updated":"2024-07-15T14:38:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T14:38:09Z","title":"Qwen2-Audio Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10759","snapshot_observed_at":"2026-08-07T13:43:10.570169Z","title":"Qwen2-audio technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.570169Z"},"links":{"cited_paper":"/paper/2407.10759","citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:dedf19ba084691f69bf3d233722a9d4910643efc64c6c4df565ebe0465468e15","observation_id":"38ff5747-d11a-4012-a08a-76a9b75c4405","resolution":{"observed_at":"2026-08-07T13:43:10.570169Z","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":"2026-08-07T13:43:13.694118Z","title":"Exploring the potential of using an ai language model for automated essay scoring,","venue":null,"work_id":"890b6320-2419-4b6a-a3d8-dccf4de17f3d","year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.663819Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:b33414d20bb7495695dbb15817e3a3d416e58a6a6011b8da4dc93471cc7ab67d","observation_id":"0a85cc88-f67a-4e93-bbc4-ae1acf73694d","resolution":{"observed_at":"2026-08-07T13:43:13.849493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:13.334632Z","title":"Rating short L2 essays on the CEFR scale with GPT-4,","venue":null,"work_id":"d037cf0c-c5f7-49f1-a677-ffc1e3b794c4","year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.750160Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:15f0e29dda8788722b8abe418716ccfa72b6c20dab93175a3a6fb7360b2932a5","observation_id":"1007538d-6449-4d79-a204-e32c1fbe35f2","resolution":{"observed_at":"2026-08-07T13:43:13.545576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:13.043801Z","title":"Can GPT-4 do L2 analytic assessment?","venue":null,"work_id":"fce4b374-0cbf-4aa6-bc76-b739b388a5da","year":2024},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.882296Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:37ce001c92344e402c36fbfd4995d5ec5ee7ef2346993ab83518e918419ebac4","observation_id":"04399695-6456-42ee-8e03-6fda48a4f465","resolution":{"observed_at":"2026-08-07T13:43:13.207181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09209","last_updated":"2024-07-18T13:09:20Z","snapshot_observed_at":"2026-08-09T16:11:08.515014Z","submitted_at":"2024-07-12T12:16:14Z","title":"Pronunciation Assessment with Multi-modal Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09209","snapshot_observed_at":"2026-08-07T13:43:10.980671Z","title":"Pronunciation Assess- ment with Multi-modal Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:10.980671Z"},"links":{"cited_paper":"/paper/2407.09209","citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:828a1cbc648093e5b8c4b8408c5f3a0f796cd7da3e60acce86e71211e04ab7d1","observation_id":"fd9c6a79-b6bf-46f4-ba4d-aa3dfa64a5ae","resolution":{"observed_at":"2026-08-07T13:43:10.980671Z","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":"2026-08-07T13:43:12.748022Z","title":"Emergent Abilities of Large Language Models,","venue":null,"work_id":"4bd5c8bc-1d19-4b36-ab60-74d1882afc51","year":2022},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.078863Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:c5671e2e1bf360051d5a82d9cc2e23865cdae139fafc873ef0258950c7aa9af7","observation_id":"91f679ad-4970-4681-8948-6ea23799f30b","resolution":{"observed_at":"2026-08-07T13:43:12.887690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:11.146042Z","title":"of Europe","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.146042Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:70f23db5ae3eb6febc0530a0fac9ac0caaf89829e304691024cb51e276f7fa4d","observation_id":"bf8472a1-137e-46f6-a17c-4506542e6558","resolution":{"observed_at":"2026-08-07T13:43:11.146042Z","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":"2026-08-07T13:43:12.452916Z","title":"Ludlow,Official Quick Guide to Linguaskill","venue":null,"work_id":"fa86678a-9ba1-4c57-8d99-a0209ddf63cb","year":2020},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.248243Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:0cfe8b83ec7756881340920cbb9f65781fed1dbd6c474a9b336c54741b04b224","observation_id":"9b1560fd-a05f-40cc-bc31-87d37dd52991","resolution":{"observed_at":"2026-08-07T13:43:12.554501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:11.321095Z","title":"The Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.321095Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:33fd62f7842ccb2bb175f3ed727e4e8be75f7d4382d8af6f1604f239f8a24638","observation_id":"5746ca2c-7d2e-4690-a181-9d26ba798d59","resolution":{"observed_at":"2026-08-07T13:43:11.321095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11985","last_updated":"2024-12-17T16:47:49Z","snapshot_observed_at":"2026-07-06T20:07:54.727859Z","submitted_at":"2024-12-16T17:05:18Z","title":"Speak & Improve Challenge 2025: Tasks and Baseline Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11985","snapshot_observed_at":"2026-08-07T13:43:11.403974Z","title":"Speak & Improve Challenge 2025: Tasks and Baseline Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.403974Z"},"links":{"cited_paper":"/paper/2412.11985","citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:536db0a62551c612fb23f3a5082be4ad90b6c8e1a28b8a8d3ab3437054d38566","observation_id":"a059604f-028d-4eab-b583-3dedb858791f","resolution":{"observed_at":"2026-08-07T13:43:11.403974Z","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":"2026-08-07T13:43:12.274265Z","title":"Universal adversarial attacks on spoken language assessment systems,","venue":null,"work_id":"a1b47bc2-aba0-406d-9579-0cab0d01861e","year":2020},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.502731Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:992831d43902ac9f8fa3cd8491b5300224737745ca4e961b5d51d4285eb9663b","observation_id":"900887f2-fde2-4c14-9d42-456719329f91","resolution":{"observed_at":"2026-08-07T13:43:12.347337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:43:11.598707Z","title":"Robust speech recognition via large-scale weak supervision,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.598707Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:5b226252f0aec4c9362d74a5b8a52a57a95c9ffc0df4ddbf43e655a67bf9329b","observation_id":"3d625097-0ade-4b0d-a8a1-dcda6167b620","resolution":{"observed_at":"2026-08-07T13:43:11.598707Z","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":"2026-08-07T13:43:12.063924Z","title":"Mitigating Word Bias in Zero-shot Prompt-based Classifiers,","venue":null,"work_id":"7c6e77e3-c9a5-44e2-b6d1-eb3799066be6","year":2023},"citing_paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:11.659473Z"},"links":{"citing_paper":"/paper/2505.21148"},"observation_digest":"sha256:ace8eecd5b8e9399256eae613cfed5f2e2fb36411617c01726af201b93b430d7","observation_id":"f444a020-94e8-49d8-ac2b-e3ffe82ea0c8","resolution":{"observed_at":"2026-08-07T13:43:12.176450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.21148","last_updated":"2025-05-27T12:58:21Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T13:32:00.680426Z","submitted_at":"2025-05-27T12:58:21Z","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":28},"total_outbound_references":38},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.21148."}