{"as_of":"2026-08-10T14:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ae5cd0fc254ba047abdcde11bf86043daaa7ce4e7584bd19b80163f23b2da3f","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:34:32.598099Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.02407/citation-record","integrity":"/paper/2507.02407/integrity","json":"/paper/2507.02407/citation-record.json","paper":"/paper/2507.02407"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:34:33.033402Z","title":"Automatic speech recognition for under-resourced languages: A survey","venue":null,"work_id":"e25e3d3d-953f-4e21-9e0a-8afca0fe13a2","year":2014},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.491484Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:a1173aa262c09a5d729f77e4227ae283f78a041619016a33d8ecdcb16c3f4b89","observation_id":"44c1235d-ae50-4173-80fb-528e5346bbe5","resolution":{"observed_at":"2026-08-06T20:34:33.037457Z","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":"10.2478/seeur-2020-0019","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Automatic Speech Recognition: A Comprehensive Survey","venue":"SEEU Review","work_id":"65596b60-5b2d-4351-b0fa-9285b83a7dd1","year":2020},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.495475Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:e7e3c79d33773fdb1112cde9ba55a5fa0f71f0bf7773ffc402f837583979fc95","observation_id":"f8db6026-8591-424b-a43f-9312c9a6b05a","resolution":{"observed_at":"2026-08-06T20:34:32.647544Z","resolver_source":"doi","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":"2026-08-06T20:34:33.023448Z","title":"CUTE: A Multilingual Dataset for Enhancing Cross - Lingual Knowledge Transfer in Low -Resource Languages [Internet]","venue":null,"work_id":"24370d4c-d3d5-4b8b-9b9d-7af71d2060a4","year":2025},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.498944Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:2a643eec0216ff1f74e899291c29e63319224049d51b47c2b25f813b35c5692d","observation_id":"39679514-c7d8-4696-a4a1-e27f13cbe708","resolution":{"observed_at":"2026-08-06T20:34:33.026830Z","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":"2022.10782","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:34:32.772714Z","title":"Development of Hausa dataset a baseline for speech recognition","venue":null,"work_id":"63c14a1a-6a9d-4544-92c3-a945add59092","year":2022},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.503043Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:f16cd803c6a8f0924d5fa5e4f1173c05ee9bbe40295383b48b067c8a042056a8","observation_id":"868dc0dd-986b-4ca3-b8c3-86b456905a06","resolution":{"observed_at":"2026-08-06T20:34:32.779548Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-06T20:34:33.014656Z","title":"Developing an open-source corpus of yoruba speech","venue":null,"work_id":"dae442b7-500a-42c8-aa2d-9a6853bb7382","year":2020},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.506830Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:22964e2b58aaf577f8b73765bbefdba8ffcf53ff66250e38b3b86c99388c5c68","observation_id":"9f2b90f9-24bc-4829-ba1b-9c85b7459e57","resolution":{"observed_at":"2026-08-06T20:34:33.017762Z","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":"2026-08-06T20:34:33.005024Z","title":"UGSpeechData","venue":null,"work_id":"6196cc5c-1495-4c7f-92ef-7aed69218087","year":2023},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.510340Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:66a0f7352621c7285ef599dbca3f54db97299e57f77a200bbfc21b42d4b08b44","observation_id":"27043979-64f9-4f3a-ba52-2a9574eb378f","resolution":{"observed_at":"2026-08-06T20:34:33.008909Z","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":"2026-08-06T20:34:32.995770Z","title":"RSC: A romanian read speech corpus for automatic speech recognition","venue":null,"work_id":"11342275-0b9d-44ac-8bfc-f18bca11585f","year":2020},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.513996Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:3f2ed1723ee24b1e5994c46a332528110f0fbdac5c0158d0be5b1c980374ba43","observation_id":"d3b685eb-6305-4ea5-998a-0e25d72b50e5","resolution":{"observed_at":"2026-08-06T20:34:32.999179Z","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":"2026-08-06T20:34:32.986334Z","title":"A Cookbook for Community-driven Data Collection of Impaired Speech in Low- Resource Languages","venue":null,"work_id":"43b8c8e6-e0aa-41db-8822-7b29fb0e1d17","year":null},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.517549Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:33ee2ae4805ea4afcdecb71dd3a8edf9f206244d8035aba9969290f8f9f91929","observation_id":"47c4181f-6e3e-424d-96db-b5db9e1320c2","resolution":{"observed_at":"2026-08-06T20:34:32.989813Z","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":"2026-08-06T20:34:32.976976Z","title":"wav2vec 2.0: A Framework for Self- Supervised Learning of Speech Representations [Internet]","venue":null,"work_id":"5ba39a73-e09f-4a64-911b-8a7900e346e3","year":2020},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.520760Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:02c8e01c624fcb46eb9d1994d9e7248b2e82cfc6f30158645ec9be72dd74d4de","observation_id":"f7583693-175f-43be-a7df-c16658bff6f7","resolution":{"observed_at":"2026-08-06T20:34:32.980343Z","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":"2026-08-06T20:34:32.966976Z","title":"Robust Speech Recognition via Large -Scale Weak Supervision [Internet]","venue":null,"work_id":"1e53d26c-e51b-4eea-8b09-29c83bcf9ab1","year":null},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.523671Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:c681abcce2b6586f3ebaee3cd71c7e84d173a89afbdd7de17518b76fc7444401","observation_id":"2aee999d-a124-4318-bc08-a445ef6fd980","resolution":{"observed_at":"2026-08-06T20:34:32.970864Z","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":"2026-08-06T20:34:32.530444Z","title":"Low resource Twi -English parallel corpus for machine translation in multiple domains (Twi-2-ENG)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.530444Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:e6a1ef91bf16a5d27b49110fa78ec0f2e7c49df5b36785ee1e6259a016851fba","observation_id":"dd3bd393-3bd7-4b32-83ff-e30afe4dbb28","resolution":{"observed_at":"2026-08-06T20:34:32.530444Z","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":"2026-08-06T20:34:32.948344Z","title":"XLS -R: Self- supervised Cross -lingual Speech Representation Learning at Scale","venue":null,"work_id":"13f05f51-2d18-4a0c-a459-696476cc6376","year":2022},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.533833Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:fcdf85a86e85212bf620f539a1ec2e2f101a2424b8479faf89634d80e7899b64","observation_id":"60bc0380-9af3-43a4-ad60-22cc87902dd2","resolution":{"observed_at":"2026-08-06T20:34:32.951669Z","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":"2026-08-06T20:34:32.938809Z","title":"Developing an open-source corpus of yoruba speech","venue":null,"work_id":"8e9e08d5-f10d-407a-a258-fea677e8d064","year":2020},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.537629Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:b41b1987d7d171102570682a6da66bdb3e32c3714036d0219bf172b9f21bc260","observation_id":"8976a374-933e-4b79-9768-de9a9852eecb","resolution":{"observed_at":"2026-08-06T20:34:32.942313Z","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":"2026-08-06T20:34:32.928968Z","title":"S, Sampah D, Adjepon-Yamoah D, et al","venue":null,"work_id":"40230ac0-3e11-4b42-a45e-da6dc1e24780","year":null},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.540910Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:9c2dab58f18f2fa38806aec77b83d95c5ab2abf6d7920225e14cdeb969de0297","observation_id":"7cbce393-e472-4103-b3be-d708d7e49007","resolution":{"observed_at":"2026-08-06T20:34:32.932812Z","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":"10.1023/a:1001798929185","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"The Bible as a Parallel Corpus: Annotating the ‘Book of 2000 Tongues.’ Comput Hum [Internet] 1999;33:129 –53","venue":"Computers and the Humanities","work_id":"e5307265-4e9e-4e06-ab68-a716d86f4de5","year":2000},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.544081Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:9d6ae20fc3cdd4f103e9e6e956417e6b8b4d84515b554f75fcdd6c4108f4be60","observation_id":"248bc20e-9f9c-4c5d-a8d6-2763c6cf6932","resolution":{"observed_at":"2026-08-06T20:34:32.629397Z","resolver_source":"doi","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":"2026-08-06T20:34:32.919791Z","title":"Common Voice 17.0: Twi [Internet]","venue":null,"work_id":"b828464e-a368-4dc2-a2cc-e4f5dbdc804a","year":2023},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.547435Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:4969aa2cd9df249eacd76c01db2975e4d4e001e42c8ca9c5da02470a541c820d","observation_id":"74516534-9b85-4427-8f6c-2d99762031f6","resolution":{"observed_at":"2026-08-06T20:34:32.923184Z","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":"2026-08-06T20:34:32.910690Z","title":"Language of Instruction Country Profile: Ghana","venue":null,"work_id":"5b60388c-ee09-4c76-91d8-a802b523ae22","year":2021},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.550301Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:ced8a0d7fb6fd116b291148a5f187656abf81b5b8ea310d100bf51f407fc9a81","observation_id":"9c3326d8-3a2c-4562-906a-78548483eac5","resolution":{"observed_at":"2026-08-06T20:34:32.913807Z","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":"2026-08-06T20:34:32.901277Z","title":"Globalization , Colonization , and Linguicide : How Ghana is Losing its Local Languages through Radio and Television Broadcast","venue":null,"work_id":"cade1aab-12a1-47d6-9d70-7b587ab2a40a","year":2022},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.553718Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:b6e376aeb927c8eea92cf874ae1215dfe98f5b68ffdbec33f5c63089f80b527f","observation_id":"bf18d652-7b90-4d48-89a3-a2662d6cad37","resolution":{"observed_at":"2026-08-06T20:34:32.904697Z","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":"2026-08-06T20:34:32.891779Z","title":"Language shift: A case study of Ghana","venue":null,"work_id":"94479f84-8ba9-4435-86a7-80aba271c21d","year":2009},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.556529Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:7899ee9b02e4321c78a53c70d02b6b8847239f1c59ab41e40dfe75d05ba9ec22","observation_id":"e57fdbd3-75a6-4cb6-bb13-35b419403e51","resolution":{"observed_at":"2026-08-06T20:34:32.895450Z","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":"2026-08-06T20:34:32.882233Z","title":"Research of Automatic Speech Recognition of Asante -Twi Dialect for Translation","venue":null,"work_id":"da285c42-0990-48f0-8115-d7883af291ec","year":2021},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.560397Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:439c5ced2b5e24c57f1da7fe1108af970a74f24eec19be1960cb979a19f8b62a","observation_id":"45c4e517-de55-40bc-98b1-e602f5fab9ff","resolution":{"observed_at":"2026-08-06T20:34:32.885839Z","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":"2026-08-06T20:34:32.872573Z","title":"The Applicability of Wav2Vec2 and Whisper for Low -Resource Maltese ASR [Internet]","venue":null,"work_id":"b3d7a6d1-8717-4dc0-a80c-1b4a8a35fb5c","year":2023},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.563740Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:5a5e38a8fd0b8b31819857d9c062a0c3f89077dc66fef2cf4cbd997bbcf68c98","observation_id":"d63d4f11-c0d8-407d-abf8-e6fc7f6651c8","resolution":{"observed_at":"2026-08-06T20:34:32.876498Z","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":"2026-08-06T20:34:32.853786Z","title":"AraConv: Developing an Arabic Task -Oriented Dialogue System Using Multi -Lingual Transformer Model mT5","venue":null,"work_id":"47f4978d-da78-48d1-aeb3-5e82498e6406","year":2022},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.569998Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:6b3c968f377182d6176df87d085b41a1aef7c35a96dfada5aa70891ed1417763","observation_id":"0134d893-b696-4e8e-b09f-66cb35aa20dc","resolution":{"observed_at":"2026-08-06T20:34:32.857239Z","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":"2026-08-06T20:34:32.863213Z","title":null,"venue":null,"work_id":"ebddfcee-5e13-4c1c-bede-8458c5e799b6","year":null},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.566844Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:bd2b1d7f0616f7dfd3ffd092c86b06d27c127c57bf5f917352d418c6c870314e","observation_id":"bd805962-a6ff-4d0a-9bb1-e6b7dde43646","resolution":{"observed_at":"2026-08-06T20:34:32.866896Z","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":"2026-08-06T20:34:32.835707Z","title":"CDEvalSumm: An Empirical Study of Cross -Dataset Evaluation for Neural Summarization Systems","venue":null,"work_id":"797684fb-113b-48de-81f8-04b89a6dc559","year":2020},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.576899Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:64939cd4995ec627d80c9d4cb3d1f0b7dab30d5b3a7fa004aa4f3cb1f3353c22","observation_id":"3add9c1a-f53f-49ec-8b8f-492a28b53f13","resolution":{"observed_at":"2026-08-06T20:34:32.839082Z","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":"2026-08-06T20:34:32.844827Z","title":"End -To-End Multilingual Automatic Speech Recognition for Less -Resourced Languages: The Case of Four Ethiopian Languages","venue":null,"work_id":"40fe1d31-6303-4a0e-9e96-d24989719f3b","year":2021},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.573844Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:44dea18089d734cbc023e8da483dd88737ccd1fae5151733d457b80787645a04","observation_id":"0a4420a0-7068-4f74-8dae-18e845a7ac57","resolution":{"observed_at":"2026-08-06T20:34:32.848149Z","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":"2026-08-06T20:34:32.816200Z","title":"Cross -Domain Generalization of Neural Constituency Parsers","venue":null,"work_id":"7dcd84a5-6748-4af9-872f-a8984899f25c","year":2019},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.583966Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:f7afb4d44caf2fbfdcac342fd3206fee1c7a6afdd4964faf37224616a82792e6","observation_id":"e5732563-16b0-43f2-8c1e-82d71c560864","resolution":{"observed_at":"2026-08-06T20:34:32.819938Z","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":"2026-08-06T20:34:32.826025Z","title":"Cross -Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis","venue":null,"work_id":"d14f0e24-a9bc-4a11-925c-2bcd3239d266","year":2022},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.580021Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:994be4229d79a275bacd14aec03b1627ac5534af24ace58946e9d752183cc668","observation_id":"0ce68932-c9b5-4898-b03f-cc08be4e5073","resolution":{"observed_at":"2026-08-06T20:34:32.829553Z","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":"2026-08-06T20:34:32.796853Z","title":"Recent advancements in automatic disordered speech recognition: A survey paper","venue":null,"work_id":"8ea5ceec-52d9-4a3c-a73b-b69fc9407a0b","year":2024},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.590535Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:0072c5a4b652274c80636d3c74d25911b5ec3f3fff435597e74a8acffe74ae69","observation_id":"018e7d24-e404-4dbe-ab70-5d46b7080a59","resolution":{"observed_at":"2026-08-06T20:34:32.800204Z","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":"2026-08-06T20:34:32.806515Z","title":"An overview of high -resource automatic speech recognition methods and their empirical evaluation in low - resource environments","venue":null,"work_id":"d3a59a25-78cd-49b5-87b2-43ef66aae6ec","year":2025},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.587318Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:faf4c59dd12b84c5f006b88026c118589f452d7780b72438d984b5f503deb922","observation_id":"ee13bee3-d975-4b53-a256-46f609846eef","resolution":{"observed_at":"2026-08-06T20:34:32.809992Z","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":"2026-08-06T20:34:32.787279Z","title":"Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems","venue":null,"work_id":"6a8f24b7-7098-48fd-ad11-9988f335b0fe","year":2024},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.598099Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:15f193d04da2bab1787553611f676df76a164ea15d522f37bc3f3e8da02e082e","observation_id":"a3bfa6f3-917d-4e53-bb66-cda1edd48559","resolution":{"observed_at":"2026-08-06T20:34:32.790743Z","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":"2207.03546","last_updated":"2022-07-07T19:35:43Z","snapshot_observed_at":"2026-08-08T15:00:07.603216Z","submitted_at":"2022-07-07T19:35:43Z","title":"BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus","version":1},"cited_work":{"arxiv_id":"2207.03546","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.03546","snapshot_observed_at":"2026-08-06T20:34:32.659067Z","title":"BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus","venue":"eess.AS","work_id":"3b999aa7-dc1d-43b1-acf2-fd83d4462983","year":2022},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.593646Z"},"links":{"cited_paper":"/paper/2207.03546","citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:e09937d55e27330b859078f2b04b86fa41545ed052409a28c8271a03f7bb0a5c","observation_id":"955ca85b-e248-4fca-b062-5865616891a2","resolution":{"observed_at":"2026-08-06T20:34:32.663268Z","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":"2026-08-06T20:34:32.957763Z","title":null,"venue":null,"work_id":"01bc520a-0819-411e-a543-72e3e3ffac83","year":null},"citing_paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:32.526925Z"},"links":{"citing_paper":"/paper/2507.02407"},"observation_digest":"sha256:a80045f7ca49e93d39644b9d5eaa2d43ea7a9c1de5873fb32f31dce936e76378","observation_id":"b043ce0f-277e-4fb8-94ef-f8eaaeae5321","resolution":{"observed_at":"2026-08-06T20:34:32.960978Z","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"}}],"paper":{"arxiv_id":"2507.02407","last_updated":"2025-07-03T08:01:26Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T12:03:13.891423Z","submitted_at":"2025-07-03T08:01:26Z","title":"Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":3,"verified_fuzzy":25},"total_outbound_references":32},"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 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.02407."}