{"as_of":"2026-08-08T07:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f75c9c3ea5db62cbfc4a0b25267f16af74925b84c6bca2bbe489266060aaedf","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:38:20.562227Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:38:19.650872Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T09:41:01.716473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04915","snapshot_observed_at":"2026-08-07T10:38:19.650872Z","title":"For example, OpenAI’s Whisper [1] is a state-of-the-art mul- tilingual model that supports around 100 languages","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.650872Z"},"links":{"cited_paper":"/paper/2506.04915","citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:ba6474d69c2f4ca2bf086eae4f812c989fd40e6cde4f997c2dbd94bb46e82d21","observation_id":"118bb24a-1e83-42ff-80f9-5546b02d3226","resolution":{"observed_at":"2026-08-07T10:38:19.650872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"cited_work":{"arxiv_id":"2506.04915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.04915","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on S cottish G aelic","venue":null,"work_id":"58a65b4d-4b76-4716-a31c-b02d3dba22c4","year":2025},"citing_paper":{"arxiv_id":"2604.10736","last_updated":"2026-04-16T21:22:01Z","snapshot_observed_at":"2026-07-06T22:59:18.756089Z","submitted_at":"2026-04-12T17:17:54Z","title":"BlasBench: An Open Benchmark for Irish Speech Recognition","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-10T15:53:54.092426Z"},"links":{"cited_paper":"/paper/2506.04915","citing_paper":"/paper/2604.10736"},"observation_digest":"sha256:f0bedbe0971f3b6b028cc1ee2aeb2f125bace893f85c7352fae9a5ce601d832f","observation_id":"c98db609-c6fd-46df-a0f8-068278ff7872","resolution":{"observed_at":"2026-05-11T09:41:01.721876Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.04915/citation-record","integrity":"/paper/2506.04915/integrity","json":"/paper/2506.04915/citation-record.json","paper":"/paper/2506.04915"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04915","snapshot_observed_at":"2026-08-07T10:38:19.650872Z","title":"For example, OpenAI’s Whisper [1] is a state-of-the-art mul- tilingual model that supports around 100 languages","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.650872Z"},"links":{"cited_paper":"/paper/2506.04915","citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:ba6474d69c2f4ca2bf086eae4f812c989fd40e6cde4f997c2dbd94bb46e82d21","observation_id":"118bb24a-1e83-42ff-80f9-5546b02d3226","resolution":{"observed_at":"2026-08-07T10:38:19.650872Z","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":"2026-08-07T10:38:21.253596Z","title":"Hybrid models [25] can effectively combine acoustic models trained on transcribed data with language mod- els trained on all available text","venue":null,"work_id":"bfdd13ff-5b7b-48aa-8bcf-7212221078c4","year":null},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.686421Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:7a313be3d0a588342da80e9f91d8d9bbc4a90bfba90204c1962d5012d14b74ff","observation_id":"f49328da-d190-44c2-83f8-14a13a817f27","resolution":{"observed_at":"2026-08-07T10:38:21.258699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.238385Z","title":"CLTW train","venue":null,"work_id":"0cb103d6-4ead-432b-85cc-3cae5a290cbb","year":2023},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.763981Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:864dd8eab29cce3704a569a0c5ab52481ac2dde50941cbfd0fa6034d423bba96","observation_id":"0ad169a0-1aee-4302-a500-5b2dfa9b6585","resolution":{"observed_at":"2026-08-07T10:38:21.242563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.223702Z","title":"Whisper Fine-Tuning We fine-tuned Whisper [1] with the HuggingFace Transformers library [3] as a baseline approach for training Gaelic ASR","venue":null,"work_id":"d21443be-269f-4f94-874a-819825b0f755","year":2000},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.841113Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:7af1ab5ca45247537e0ffb39291bbab117eee1e62ccee91c934f7f1d3a949b71","observation_id":"3e1ed2df-f9fe-43a6-a00b-3f5cbe72c095","resolution":{"observed_at":"2026-08-07T10:38:21.228206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.208857Z","title":"The Tar-sgr`ıobhadair API achieved an average WER of 28.0%","venue":null,"work_id":"95b321f9-5558-4c73-a334-7054fe579319","year":2000},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.910396Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:66ef4c8acbea1a719cd047bc437a4df876c37432f877972db20a9cdaba6f85a7","observation_id":"0e758699-0635-43f9-8c9b-23374d18385d","resolution":{"observed_at":"2026-08-07T10:38:21.213606Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.194450Z","title":"Our model outperformed the previous best model deployed in the Tar-sgr`ıobhadair API by 54%","venue":null,"work_id":"ef834304-f5b9-49a9-b75b-2014845cf1d6","year":null},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.981924Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:c36f7a868410187552de0ad1d48ab7e6999e8594805e7739b7deb3238e81337f","observation_id":"ba2fd8d7-2b8a-4b43-9934-20ed1baa6006","resolution":{"observed_at":"2026-08-07T10:38:21.198960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.177285Z","title":"We thank BBC Alba for providing the data and Cailean Gordan, Al- ison Diack and Fearchar MacIllFhinnein for transcribing train- ing and testing data","venue":null,"work_id":"657eae86-2f7f-46c6-baf8-17259f547775","year":null},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.040699Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:8e7ffae6fc33e54e79d3f4e5164e357d779b3dff02de8fde58ca49113fc8cbc5","observation_id":"2cc6b5bf-daf6-4ea4-a7f5-4508db52ffb3","resolution":{"observed_at":"2026-08-07T10:38:21.182327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.129432Z","title":"Robust speech recognition via large-scale weak su- pervision,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.129432Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:b1f866e292b9b9706971a2469ca98315f1b1d3849864653cfa03040dab91c5ea","observation_id":"d09be7fd-f32d-45f4-a5b9-4aaf8b625ba3","resolution":{"observed_at":"2026-08-07T10:38:20.129432Z","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":"2026-08-07T10:38:21.152306Z","title":"Scaling speech technology to 1,000+ languages,","venue":null,"work_id":"c833559d-34ff-4b07-971d-2c3951cfa372","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.229378Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:b330f6d54bbfe031194bc87c6a9f12e034c0f817f1a64506112412df7444ad95","observation_id":"87f48670-37aa-4bfa-87cf-ecf772b91ae0","resolution":{"observed_at":"2026-08-07T10:38:21.156874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.136803Z","title":"Transformers: State-of-the-art natural language processing,","venue":null,"work_id":"b127d186-d97d-473a-b4ac-1c67123998ed","year":2020},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.266856Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:11c8d2907f3ebde1fb54f2be57e171a8d313a4d5dde348fc797d4ad176dc9c8a","observation_id":"5e55a54c-9f83-4594-a471-ee2f0cea79c4","resolution":{"observed_at":"2026-08-07T10:38:21.141792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.121661Z","title":"Semi-Orthogonal Low-Rank Matrix Factor- ization for Deep Neural Networks,","venue":null,"work_id":"2964ac3a-39f9-4680-8f05-932f249211d6","year":2018},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.381773Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:0c8689f4969b29c75d46f6ba05784ac87c201779cbf6d2af4e0a57725af62877","observation_id":"ed71dade-9904-4583-9358-81b3b800b217","resolution":{"observed_at":"2026-08-07T10:38:21.125963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.108012Z","title":"Principled comparisons for end-to-end speech recognition: Attention vs hybrid at the 1000- hour scale,","venue":null,"work_id":"13fb01d6-464c-4c8c-9d2c-bc5ae396997a","year":2023},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.401066Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:80ada871795836b034cc01ee7362a8d96367622c5f37f4adaaf9d50c87872335","observation_id":"bf8ac138-f4bb-461a-bc14-a1a2ffc3be1a","resolution":{"observed_at":"2026-08-07T10:38:21.111933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.094573Z","title":"Madlad-400: A multilin- gual and document-level large audited dataset,","venue":null,"work_id":"c64296a0-6dca-4686-8b7b-5c8af57b56e0","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.406365Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:cdc8555bc3e0c4579b4dd459fecfe395c04a890bc273b54c3a0e538a0fc948e7","observation_id":"544b7d23-3cbc-4596-93a5-296f2a67e6e0","resolution":{"observed_at":"2026-08-07T10:38:21.098921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.080734Z","title":"The fineweb datasets: Decanting the web for the finest text data at scale,","venue":null,"work_id":"9e9e0716-4276-443d-9237-d3ffcb33fe2e","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.410750Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:4902cb486db229f2c885ed316e313006000472d244e3a4482901be1f1ee19cc2","observation_id":"76d28593-3ffe-4f37-a402-8bed6c397952","resolution":{"observed_at":"2026-08-07T10:38:21.084688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.067245Z","title":"Recurrent neural network based language model","venue":null,"work_id":"19559ed6-b191-4553-8cc8-79ecc8835e9e","year":2010},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.415908Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:e923355844008d5ed439d933775f8f62b3006af593207b2b5f1de6f2f5bf0b8b","observation_id":"025896f7-1d9a-4ae5-9a70-82d2eed21f4d","resolution":{"observed_at":"2026-08-07T10:38:21.071334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.420294Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.420294Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:aaa3e921fdb7de8b1412ed5b3b61ca36cb4529477cfbcb7db463b0ecef2ddd58","observation_id":"77f51d61-c459-4ee2-9e95-d7c0acfeb035","resolution":{"observed_at":"2026-08-07T10:38:20.420294Z","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":"2026-08-07T10:38:21.043544Z","title":"XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale,","venue":null,"work_id":"3e61acc5-ca28-46a5-9665-c1a9008f55c1","year":2022},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.425185Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:6a3403bdcf765e03980ad21af7b644e79dce63c5e38e3ab25fdc220738868de5","observation_id":"d7f3a917-db89-4d4b-b784-0db0ea604e28","resolution":{"observed_at":"2026-08-07T10:38:21.048087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.030697Z","title":"Towards robust speech representation learning for thousands of languages,","venue":null,"work_id":"49add997-6d2b-42cd-ae3d-9ecdc6507869","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.430037Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:93a3ee6dbd93208a54d0d80a31e9fa4e141d52b3fb1f8b932b8b9128710c4dc6","observation_id":"97730c9c-89f3-4394-8234-ddc853a08e2b","resolution":{"observed_at":"2026-08-07T10:38:21.034679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.017588Z","title":"The language-independent bottleneck features,","venue":null,"work_id":"6ee68af2-505c-42d4-993b-e8fba8e478fd","year":2012},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.435302Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:e380b04a219cb42d597d91ef6e2d923c2d92bd54771b079bc7885731b29ed6b8","observation_id":"1dea3e82-84d1-452a-8073-9c547a2e6759","resolution":{"observed_at":"2026-08-07T10:38:21.021951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.003599Z","title":"CTRL: Continual Representation Learning to Transfer In- formation of Pre-trained for W A V2VEC 2.0,","venue":null,"work_id":"80ec30a8-db7f-4043-a2b9-c21f67958f19","year":2022},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.439695Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:1ab9436f97042e0f9965b12d261ef49e06a0cc889450232f92f42345c4827cca","observation_id":"869cb689-86b2-45a8-a995-ec6971608eb2","resolution":{"observed_at":"2026-08-07T10:38:21.007803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.990145Z","title":"Lightly supervised and unsupervised acoustic model training,","venue":null,"work_id":"512f1563-df50-422b-a66c-2cc18d77713b","year":2002},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.444563Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:90c69d9b945761747ee70c6e165094674138c287a6340fbd29c4f6e7bbc292df","observation_id":"a7a885a3-72aa-4a07-bf67-bb2370347d63","resolution":{"observed_at":"2026-08-07T10:38:20.994188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.976990Z","title":"Semi- supervised training of acoustic models using lattice-free MMI,","venue":null,"work_id":"95729858-b323-4f6a-99d9-f109627ebd81","year":2018},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.449313Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:d45dc824ad55f2a1f19251b56a6527dff058de8ea58259acc6b41e7a7c01fa12","observation_id":"0cc61953-dfcb-4070-be98-69e7842c4393","resolution":{"observed_at":"2026-08-07T10:38:20.981134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.963458Z","title":"On the learning dynamics of semi-supervised training for ASR,","venue":null,"work_id":"bf262899-1d86-4a22-9168-4047a737e9fd","year":2021},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.453612Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:229ada2804cb0a67c8091b887a009f7faabc3a64f64208c1eb640adeceb4135a","observation_id":"e4532e9e-0ad8-46d9-a029-3a47a00de83e","resolution":{"observed_at":"2026-08-07T10:38:20.967624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.949865Z","title":"Self-training and pre- training are complementary for speech recognition,","venue":null,"work_id":"dc29e60a-ea32-4cde-bb66-0c9f9cfea828","year":2021},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.458779Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:3ba36179749bbaebe9707d1fb2673cf55ce0bff7129a36db18c569acf6ccd266","observation_id":"5c3ee279-3b5a-4407-8f5f-d9eb8b410f14","resolution":{"observed_at":"2026-08-07T10:38:20.954298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.936198Z","title":"Compar- ing self-supervised pre-training and semi-supervised training for speech recognition in languages with weak language models,","venue":null,"work_id":"7ae1cb5b-29a4-4e5e-83a5-a5e3f1d44775","year":2023},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.463215Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:14302ed9d7ee88c81ca5346ff01e1168bb4f93e3212ac268c5ad0831e4934c2c","observation_id":"746da1e8-1872-4af4-a5d0-f96b8132dfe0","resolution":{"observed_at":"2026-08-07T10:38:20.940780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.923558Z","title":"Improved noisy student training for automatic speech recognition,","venue":null,"work_id":"78fe7121-0d9b-4bd2-8dbe-03557868f463","year":2020},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.467827Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:df973497f98fc377fc5cbe934dda16e583b03861800d8862a947a348537cc72d","observation_id":"83f80022-9330-42cb-9129-9a63b9e0126e","resolution":{"observed_at":"2026-08-07T10:38:20.927615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13652","last_updated":"2023-05-23T03:50:35Z","snapshot_observed_at":"2026-07-06T15:31:05.250637Z","submitted_at":"2023-05-23T03:50:35Z","title":"Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers","version":1},"cited_work":{"arxiv_id":"2305.13652","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.13652","snapshot_observed_at":"2026-08-07T10:38:20.598587Z","title":"Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers","venue":"cs.CL","work_id":"0d8377b3-3549-4c5a-850f-99352375b0cc","year":2023},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.472763Z"},"links":{"cited_paper":"/paper/2305.13652","citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:115d807fabb171b9021817508f4586873129f63a1f251e92c67726c863dfb788","observation_id":"125e1893-4580-4bc2-a7a3-28aab2f1ef01","resolution":{"observed_at":"2026-08-07T10:38:20.605586Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.910885Z","title":"Neural machine transla- tion of rare words with subword units,","venue":null,"work_id":"ed7443af-9fa1-406b-bbf2-6a136390e76c","year":2016},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.477861Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:879935b7795c8e393237c353f1a8b42760a490503cb5ebaba8a4d4950883a49a","observation_id":"3d974495-a55b-44f4-b170-4ab92d919f41","resolution":{"observed_at":"2026-08-07T10:38:20.914897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.896969Z","title":"Scotland’s census 2022,","venue":null,"work_id":"446ce3a3-6089-4b86-b907-9dc1d07da788","year":2022},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.482609Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:9f218b3ecb731c72a9b49011408ad6ed66eb268db32c8679b8f617776d1c5412","observation_id":"1bec1901-c7ae-418d-b84f-57e940f71a30","resolution":{"observed_at":"2026-08-07T10:38:20.900878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.883724Z","title":"Grapheme and multilin- gual posterior features for under-resourced speech recognition: a study on Scottish Gaelic,","venue":null,"work_id":"83d4ffce-db96-4106-9ce4-b80ba1e2d810","year":2013},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.487427Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:929fcd7f6be825f8883628eea79a62a9093370dace16b9d581a31329d3425570","observation_id":"88b1ab5e-51cc-456d-9259-163ac76d1eab","resolution":{"observed_at":"2026-08-07T10:38:20.888086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.870402Z","title":"Developing auto- matic speech recognition for Scottish Gaelic,","venue":null,"work_id":"0172b7f0-e2ef-4ae8-9711-60ec57cd17d8","year":2022},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.491775Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:5fc105ca8cf8e97ab98b61a538f7168aff5620c20f2b5db5aae1a6377086714a","observation_id":"8c428a45-008c-4368-9314-af9757679c04","resolution":{"observed_at":"2026-08-07T10:38:20.874580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.856717Z","title":null,"venue":null,"work_id":"37be5b47-a6c4-434b-8106-ef1bd01a4827","year":2012},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.496065Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:f3e4f457ea5d5895f2b4dccc2959d39cc567c780d093d46d415050986ddb6e32","observation_id":"7fb9fd12-3f01-43ef-a6ac-446155cf58a2","resolution":{"observed_at":"2026-08-07T10:38:20.860914Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.842662Z","title":"Advances in subword- based HMM-DNN speech recognition across languages,","venue":null,"work_id":"2e5493d7-5ae8-49c7-a69d-f8338a74fb81","year":2021},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.500476Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:d88b7d5f3b5297624ef8eb0f401c4aec7827c45ef3ad18d32e2618057bdffe12","observation_id":"d82b2803-963b-4fc7-8e37-20c62ee4fcd2","resolution":{"observed_at":"2026-08-07T10:38:20.847029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.828305Z","title":"Active and semi- supervised learning in ASR: Benefits on the acoustic and language models,","venue":null,"work_id":"1431d521-664f-4da2-9eb5-94f8afd573ed","year":2016},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.505027Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:7a141d59d0c518d0d1ec8a175722d0664e44d44b685a7a5d698b01e730632821","observation_id":"abd4611f-5427-4134-a1cf-4e89a0ef99d0","resolution":{"observed_at":"2026-08-07T10:38:20.833222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.814304Z","title":"The MGB challenge: Evalu- ating multi-genre broadcast media recognition,","venue":null,"work_id":"3bd19be9-8964-42e9-b18a-128b9461dfce","year":2015},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.509669Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:92d4e8e7dcca2f9ac134ec9c5337079ed60339366cf06b44f2103c04cb187955","observation_id":"2aae6ca1-9eb0-454e-934b-fc6928f95304","resolution":{"observed_at":"2026-08-07T10:38:20.818671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.799886Z","title":"LoRA: Low-Rank Adaptation of Large Language Models,","venue":null,"work_id":"5edc7586-f5f2-46df-aed4-06c7c31dd359","year":2022},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.514455Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:54cc9079143bec339dc3338408cb3fd7a3601dba89e3b350f907da9415efd994","observation_id":"9fb4ce97-bf55-427d-9e5b-828746f86c0a","resolution":{"observed_at":"2026-08-07T10:38:20.804500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.784067Z","title":"Purely sequence-trained neu- ral networks for ASR based on lattice-free MMI,","venue":null,"work_id":"0bd411c3-8687-445b-bdce-06d54f810a12","year":2016},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.518879Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:28be2cc6253fc4af1dd30d63668ecbae42e34d7199e15c0aaf7a125a5f412049","observation_id":"f82e457f-1128-473c-b337-582e61621d97","resolution":{"observed_at":"2026-08-07T10:38:20.788625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.768929Z","title":"SRILM - an extensible language modeling toolkit","venue":null,"work_id":"09f38a53-edd3-415a-9e2d-d4e0e5b41830","year":2002},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.522959Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:4e963b122cecab9568e3bf404597a2cc93d99d70a5b62b18a201c3dc563a504d","observation_id":"b1788177-80b4-4b53-a10d-f9e3608628d1","resolution":{"observed_at":"2026-08-07T10:38:20.773298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.754038Z","title":"fairseq: A fast, extensible toolkit for sequence modeling,","venue":null,"work_id":"0e4f0f22-ddbb-4084-a6bd-fbe13cfbeab9","year":2019},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.527833Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:e4ff69269f4b6866134e0d62a00e43252c92f18f4bb3a9aee39c2c4ad7de28df","observation_id":"1dbc452f-473b-4bd7-952b-1c275a98a919","resolution":{"observed_at":"2026-08-07T10:38:20.758777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.737320Z","title":"From senones to chenones: Tied context-dependent graphemes for hybrid speech recognition,","venue":null,"work_id":"2e044021-5109-4203-89e7-5ca9073164c8","year":2019},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.531988Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:3ab95fd24271e791b235d60113e9d2417dccdda874216127afdaa4e35e6bd986","observation_id":"7b129900-5d21-451e-a133-593006b5e501","resolution":{"observed_at":"2026-08-07T10:38:20.742151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.721660Z","title":"Faster, simpler and more accurate hybrid ASR systems using wordpieces,","venue":null,"work_id":"4a7c835e-767a-4573-b1c4-fdb73553d14e","year":2020},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.536089Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:746c58e7b1f90be42fde7404f2e9d80c0ce7ac2b9fb7c639a28d7c81951edf37","observation_id":"70c8da25-e0be-46e2-b913-661e1c40751e","resolution":{"observed_at":"2026-08-07T10:38:20.726212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.539994Z","title":"A study on data augmentation of reverberant speech for robust speech recognition,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.539994Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:91ffbef3c1e0aff660ee826625fb1bc54b28edce67922325bd956bbd53a1aa73","observation_id":"681a954c-baee-4064-b972-37e9f55c9397","resolution":{"observed_at":"2026-08-07T10:38:20.539994Z","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":"2026-08-07T10:38:20.693500Z","title":"Unsupervised language model adap- tation,","venue":null,"work_id":"8675a0e0-d94a-4f92-b75d-d1d8313ca245","year":2003},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.544477Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:b92adba4ef2823a68c33fca9459f1eefb2ea4288618d2a40990bb46b9c562f13","observation_id":"2c4152a7-f246-42d3-b761-91e7c72ea8ed","resolution":{"observed_at":"2026-08-07T10:38:20.698344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.677979Z","title":"Less is More: Accu- rate Speech Recognition & Translation without Web-Scale Data,","venue":null,"work_id":"8ac4cb97-f8f7-47c9-93df-98390bc73190","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.548887Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:4038d5a74a0f64e2c54ece4cdafb0969ab4ffdb955e46ad0eae65128dbec3b32","observation_id":"eb677194-8071-4fd8-9474-c6feafd6e6b6","resolution":{"observed_at":"2026-08-07T10:38:20.682933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.663142Z","title":"Latxa: An open lan- guage model and evaluation suite for Basque,","venue":null,"work_id":"252ac925-24fb-4bf4-8378-b898481aced1","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.553087Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:274e906650646d2ee24a66293ec9ee6560b3e081e9ba81bcc7a4de2b62bdd471","observation_id":"24a3b50e-ab3e-4458-9ae9-3d43ec1c8635","resolution":{"observed_at":"2026-08-07T10:38:20.667447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.648167Z","title":"Hyporadise: An open baseline for generative speech recognition with large language models,","venue":null,"work_id":"fee19ca7-e440-427b-a96c-8c6aef534f26","year":2024},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.557738Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:fd7c6158b5cdd7fe7350a3cf262b2ca101ede31682ff2fece78d0e9d77ed33b8","observation_id":"a2c66365-e9e1-418b-b5c3-c28fc4c49afa","resolution":{"observed_at":"2026-08-07T10:38:20.652752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.633700Z","title":"LLaMA-omni: Seamless speech interaction with large language models,","venue":null,"work_id":"94866039-c1a5-46fb-b61b-b09c8017eebf","year":2025},"citing_paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.562227Z"},"links":{"citing_paper":"/paper/2506.04915"},"observation_digest":"sha256:19a1cbb833727e2e65f0a15bb5d7fe08686773f81fceba3efd60031bd91ad204","observation_id":"79ac6f79-f74f-4d2e-b25a-cb47e10e21ba","resolution":{"observed_at":"2026-08-07T10:38:20.638100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.04915","last_updated":"2025-06-05T11:52:08Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T10:28:27.941778Z","submitted_at":"2025-06-05T11:52:08Z","title":"A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":40},"total_outbound_references":47},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.04915."}