{"as_of":"2026-08-16T11:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:95139b04cf90604b6a3b2766056c159ff66e92efd3223ede01639c5924734d42","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:04:05.621055Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2412.08283/citation-record","integrity":"/paper/2412.08283/integrity","json":"/paper/2412.08283/citation-record.json","paper":"/paper/2412.08283"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:04:06.067836Z","title":null,"venue":null,"work_id":"02f81ea6-b3cd-46f8-a2cc-10e967347697","year":1995},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.485137Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:9f8c5f2c2df20d94cc4bc52980d8f65e319cccf1c924881ead330137a2977acc","observation_id":"a023986e-6292-497d-92ba-d29b20e5a195","resolution":{"observed_at":"2026-08-11T18:04:06.072422Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:06.053719Z","title":null,"venue":null,"work_id":"916093db-0c7b-4883-85e1-ca863af67b11","year":1970},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.490664Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:67a29a93f7b1bfb51f277762463132593dc36e95bed947353ec428d420f0ace5","observation_id":"6038f379-24cf-419b-80fb-bcf7a925f58b","resolution":{"observed_at":"2026-08-11T18:04:06.058176Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:06.040162Z","title":"Lexical stress,","venue":null,"work_id":"0c3e24ca-4f58-4a20-ab34-1a5b0cf43596","year":2005},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.496232Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:4e97c569ad10dd40c194d1011765fdbd53fc7407d9d15fdedc2ade52de35646c","observation_id":"2ba00f79-5d79-4194-a77f-fc51dee29210","resolution":{"observed_at":"2026-08-11T18:04:06.044216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:06.025861Z","title":"An unsupervised quantitative measure for word prominence in spontaneous speech,","venue":null,"work_id":"45eedf4b-00f0-4c2b-8eb0-91169ca14e66","year":2005},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.501430Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:57cacb9eece4d74bf1f2d8be28400949e23aebb0d926c7c1356c0d4a0b401428","observation_id":"46157814-efe4-4582-9dcb-a987b0d2f22f","resolution":{"observed_at":"2026-08-11T18:04:06.030287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:06.010335Z","title":"Word prominence detection using robust yet simple prosodic features,","venue":null,"work_id":"28d101de-c12e-4704-b6a1-407aa1e3d592","year":2012},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.507113Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:4a293215312d3975b14779f8ddc409cc30f3bf93e20b522575a3dfec9774f6cc","observation_id":"7cd8683e-a927-480a-8d84-0fca80c7feeb","resolution":{"observed_at":"2026-08-11T18:04:06.014663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.995960Z","title":"An acoustic measure for word prominence in spontaneous speech,","venue":null,"work_id":"8f42183e-173d-4174-ab3c-a91a8a4fdf18","year":2007},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.512698Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:6f515b49bd7082255cbddaad2d8ab390c05f8c101ccfa9cbc84a0888f62b810f","observation_id":"806bee9d-bdcf-4774-a161-78821119baef","resolution":{"observed_at":"2026-08-11T18:04:06.000528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.981400Z","title":"Automatic syllable stress detection using prosodic features for pronunciation evaluation of language learn- ers,","venue":null,"work_id":"a303e6c8-f5ce-4448-bfa5-c342e234c7a4","year":2005},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.518353Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:57da6f6e98285df1e0fa9728b419c699f79849b6ca1f8d496cfb6193900613da","observation_id":"24004a91-3490-461d-93cf-aeeccedc2455","resolution":{"observed_at":"2026-08-11T18:04:05.986329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.965286Z","title":"Comparison of automatic syllable stress detection quality with time-aligned boundaries and context dependencies,","venue":null,"work_id":"91bafa2e-f132-4d03-9b19-abad43c75a7e","year":2019},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.523633Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:f657bfd42bbb845a60f6e887d67fa392f2a3cdb3b316c3d1c810c3aed7776a6b","observation_id":"42d3544e-ffb0-47a8-ab8a-f4942f7d26e8","resolution":{"observed_at":"2026-08-11T18:04:05.970340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.950060Z","title":"Automatic detection of syllable stress using sonority based prominence features for pronunciation evaluation,","venue":null,"work_id":"3ef95a13-9aad-4adf-81a5-82e55da32e6a","year":2017},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.528703Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:2bd5a9991b8bda9e96f6da81cebcd460228c8153ab08233682ea0d8c99c03e45","observation_id":"164f7d0e-ab08-4cae-bbf4-1d28491d06b2","resolution":{"observed_at":"2026-08-11T18:04:05.955007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.934904Z","title":"A compar- ison of learned representations with jointly optimized vae and dnn for syllable stress detection,","venue":null,"work_id":"c57d5154-0518-46ae-9a94-e45e05bc966b","year":2023},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.533375Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:619c47e5f2444ff38f576e0f0c76da7b8438435cfab554fc6274d0a5f484758e","observation_id":"68c15cde-d212-4f82-b103-3d2850cf0155","resolution":{"observed_at":"2026-08-11T18:04:05.940154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.919287Z","title":"Exploring the use of self-supervised representations for automatic syllable stress detection,","venue":null,"work_id":"7722f7a5-641c-437b-b6e8-3d4e016206c6","year":2024},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.538120Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:96ce64e215f49c3b5a714d8876fab7e7c9ce0ed689772782528f93ed285f98be","observation_id":"662165d6-f6d6-4748-a73d-8f56e79a0c2d","resolution":{"observed_at":"2026-08-11T18:04:05.924397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.904512Z","title":"Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,","venue":null,"work_id":"f8b80dd9-5d1f-44d2-9c09-341ce9efc593","year":2018},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.543152Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:13ae1b6a2d6492ddd71c934e40a81204279e6ec798c47112088adad5b8c1a055","observation_id":"e9958cd8-7e35-41cc-b589-dbf721e964c3","resolution":{"observed_at":"2026-08-11T18:04:05.909286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.889849Z","title":"Tacotron: Towards end-to-end speech synthesis,","venue":null,"work_id":"540eb723-76f3-4392-a73e-3353e04d8a2b","year":2017},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.547624Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:0789c9fc77d4a94529d085e21cf0cae6f2658c15da5ac1e9a7b52b548a49af6e","observation_id":"0776042e-f541-490e-9f52-899897b282b7","resolution":{"observed_at":"2026-08-11T18:04:05.894530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.875483Z","title":"Glow-tts: A generative flow for text-to-speech via monotonic alignment search,","venue":null,"work_id":"f8670668-eb89-4cc6-b398-75bcc5a5ce5d","year":2020},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.551855Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:675d077708636639d54408de2d9795d0f662b4320a59cd483801634a1529f17a","observation_id":"6c1d318a-ec70-4385-a321-4f9ffe7e859e","resolution":{"observed_at":"2026-08-11T18:04:05.880304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.861735Z","title":"Glow: generative flow with invertible 1×1 convolutions,","venue":null,"work_id":"66935a3d-2a43-419f-b2ce-22c6077179e4","year":2018},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.556272Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:69bffebf90bca612c8779c22f9ea87de363fef3c98b518b1bc908f488376ca20","observation_id":"e8bfe462-980c-4915-8818-68879ac68270","resolution":{"observed_at":"2026-08-11T18:04:05.866099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.847837Z","title":"Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,","venue":null,"work_id":"63fe9f0b-3a33-4270-9050-4d84d6b63f24","year":2021},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.560983Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:92ace98ce640cdab350cb8fbf6df98a06ab409ec9313355cac82a3d3d0af1fb0","observation_id":"6dc853fe-e934-4c85-ab55-82f596a98a49","resolution":{"observed_at":"2026-08-11T18:04:05.852233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.833425Z","title":"Variational inference with normalizing flows,","venue":null,"work_id":"fcfedde6-8cd5-47f3-a292-e0c33d02b041","year":2015},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.565248Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:210bbb310bdda5b0cbc70a9f32d29edafc19b3a5e4ce356ebb7f81042f8b3098","observation_id":"8b0023b0-0347-4f84-ac41-90591dc647d1","resolution":{"observed_at":"2026-08-11T18:04:05.837956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.818381Z","title":"Fastspeech 2: Fast and high-quality end-to-end text to speech,","venue":null,"work_id":"c42e94d4-70ae-4422-8dfe-a3f2fdd366f0","year":2021},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.569499Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:ca8eb32a568a694ca827f81e047018d00a9bae1c831776a2101ee1abc1715de2","observation_id":"a41a23c6-24e4-44d4-8a76-ed842ca7239f","resolution":{"observed_at":"2026-08-11T18:04:05.823247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.803692Z","title":null,"venue":null,"work_id":"ec459863-9728-4c91-ac9a-150d33db91e2","year":2019},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.573685Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:a05ef072668af77b5cea296453a4342a7ba7b299edab90914c0738c362ac86ca","observation_id":"99fdc56a-688c-41a6-a6f1-b09c033b20d4","resolution":{"observed_at":"2026-08-11T18:04:05.808166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.788447Z","title":"Tatoeba,","venue":null,"work_id":"fa465575-a438-421a-989d-d8378907a68e","year":null},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.578310Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:4fab3dcdfb89fa7f1f5e95aa5845dc06d984ecc13d7a539ebae7c7ed5d4603dd","observation_id":"1c009609-5533-44ff-a95f-17d3c4feb87d","resolution":{"observed_at":"2026-08-11T18:04:05.793338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.772186Z","title":"The isle corpus: Italian and german spoken learner’s english,","venue":null,"work_id":"d4ec26ca-a068-490b-a21d-4558607c06a8","year":2003},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.583341Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:8c9515a95902ef58e357ec5e728c41ef82733534ad5b8605e9d1cd1fd23589ed","observation_id":"74ec7540-47bc-4297-a1be-59553d581c7d","resolution":{"observed_at":"2026-08-11T18:04:05.777232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.10464","last_updated":"2019-09-25T13:16:12Z","snapshot_observed_at":"2026-08-16T07:15:17.656188Z","submitted_at":"2018-12-26T18:58:39Z","title":"Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.10464","snapshot_observed_at":"2026-08-11T18:04:05.589103Z","title":"Massively multilingual sen- tence embeddings for zero-shot cross-lingual transfer and beyond,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.589103Z"},"links":{"cited_paper":"/paper/1812.10464","citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:b6dbfb3da1c7ff300af7b75d4b545767174a02affc5b0955d8fb3d11e17bc546","observation_id":"9eecb23f-a8db-40c7-be2e-7ec6ad728f6f","resolution":{"observed_at":"2026-08-11T18:04:05.589103Z","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":"2026-08-11T18:04:05.755462Z","title":"Parallel data, tools and interfaces in opus,","venue":null,"work_id":"bfc38944-3cd7-464c-95b7-b38f4f9dd557","year":2012},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.594107Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:75720d0dd8e40be308ce789193d4b13ad1e1cc8a33d94933a7ca33a265c94e78","observation_id":"d376f959-e8f3-4a20-927d-4ea33d4e7a55","resolution":{"observed_at":"2026-08-11T18:04:05.760876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.738579Z","title":"tsylb2-1.1 syllabification software, national institute of standards and technology,","venue":null,"work_id":"d332f076-269d-4332-878e-a3bfdd7f5003","year":1996},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.599396Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:b4fc529f4ee2eb95d8cdbdd7c498079c009996bf6f16fa15784234aa44bbfa5b","observation_id":"90d9e1de-156d-4a46-a186-f6ae13331b99","resolution":{"observed_at":"2026-08-11T18:04:05.743769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.720755Z","title":"The lj speech dataset,","venue":null,"work_id":"131a61a2-0dcc-40dc-a2ed-932955889265","year":2017},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.605139Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:a27e4013a13e7c9aa28b79481626bd6e30a6783ea267b900fb13d8ca5b48c5ea","observation_id":"ba0154cc-ce19-48ae-a5f5-e84ef66da7ba","resolution":{"observed_at":"2026-08-11T18:04:05.726130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.703821Z","title":"wav2vec 2.0: a framework for self-supervised learning of speech representations,","venue":null,"work_id":"c9826666-f2de-4bb5-9961-a93e255f3134","year":2020},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.610927Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:02ac74dac309d5f070e2e23de85f677d297ce6f7ed02515ae37cfaf980851385","observation_id":"99cc2b8b-7819-4d8e-9532-b1cfcdc5f235","resolution":{"observed_at":"2026-08-11T18:04:05.709376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.686545Z","title":"Analytical review of clustering techniques and proximity measures,","venue":null,"work_id":"5a1e6449-0b80-44a1-bed4-8c5ca666d4a2","year":2020},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.616092Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:8e9edd0a44cf589bddb4399e5aa48a4327b0833d27e78b05485295361b77924f","observation_id":"f593c4cf-ac85-4166-a8de-31049a148e04","resolution":{"observed_at":"2026-08-11T18:04:05.691621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T18:04:05.669211Z","title":"Measuring cross-lingual se- mantic similarity across european languages,","venue":null,"work_id":"23b5b1db-871d-48cb-8cdd-92308fdc3c40","year":2017},"citing_paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T18:04:05.621055Z"},"links":{"citing_paper":"/paper/2412.08283"},"observation_digest":"sha256:b02dee4568352da4d60115f26504dbc88315479e593f1e941425508244ec8ce8","observation_id":"d88b49c1-c651-48fe-9c96-b3ddf97624af","resolution":{"observed_at":"2026-08-11T18:04:05.675657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.08283","last_updated":"2024-12-11T10:58:14Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T18:00:25.894300Z","submitted_at":"2024-12-11T10:58:14Z","title":"A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":28},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.08283."}