{"as_of":"2026-08-17T06:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ccb5939eb719388f60df75bc967edb703eae7a480ea689bffd8ea313c82f443e","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:03:24.499058Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T22:51:43.039657Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.19204","snapshot_observed_at":"2026-08-02T22:51:43.039657Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.15537","last_updated":"2026-06-16T15:15:14Z","snapshot_observed_at":"2026-08-13T13:40:09.131217Z","submitted_at":"2026-02-17T12:38:45Z","title":"ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T22:51:43.039657Z"},"links":{"cited_paper":"/paper/2507.19204","citing_paper":"/paper/2602.15537"},"observation_digest":"sha256:026f1654391941748a95012cda0a10b7e162956d248334edfc5b8fe475576b58","observation_id":"8ec74310-3cdb-4aec-b1cb-b84f63f40ed8","resolution":{"observed_at":"2026-08-02T22:51:43.039657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.19204/citation-record","integrity":"/paper/2507.19204/integrity","json":"/paper/2507.19204/citation-record.json","paper":"/paper/2507.19204"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:03:26.162290Z","title":"Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions,","venue":null,"work_id":"2c5dfb8b-6275-4fdc-bd7d-8fed90ea3313","year":2012},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.820535Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:449d2dd8843fef64299d957ca68cc033247bd0dd63c162baffe212e769c48bf2","observation_id":"e4835061-27fc-4297-b507-bd30ee9c4cec","resolution":{"observed_at":"2026-08-15T18:03:26.167039Z","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":"2026-08-15T18:03:26.110320Z","title":"At 6–9 months, human infants know the meanings of many common nouns,","venue":null,"work_id":"c3a05f5c-f4fe-4d08-95f7-fe822fd83934","year":2012},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.826237Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:b79fee05dc222ecc231e01d1fd7f68d3028d946db87f70a5ee0dff9f75203ee6","observation_id":"4f4862cb-13c6-4f30-b289-6cc8f40d91da","resolution":{"observed_at":"2026-08-15T18:03:26.153337Z","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":"2026-08-15T18:03:25.953415Z","title":"Some critical developments in acquiring native language sound organization during the first year,","venue":null,"work_id":"21b312d9-7398-4188-b3a2-b2212d09059a","year":2002},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.830501Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:396b831b006ebe6e903a7491d99b431db5937ed5a97e3af8734527dc0f163c78","observation_id":"b0e52605-9cee-4fee-a537-97dc89376833","resolution":{"observed_at":"2026-08-15T18:03:26.001416Z","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":"2026-08-15T18:03:25.940348Z","title":"Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner,","venue":null,"work_id":"7a95a821-dc8f-4c60-808d-e3521b3b6533","year":2016},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.834941Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:a995ab64b98da8491b6086fa14536c566163a55626fc31569dba19a59acdd8c1","observation_id":"76609abd-65b4-4c3e-9b13-d29b8cf60abf","resolution":{"observed_at":"2026-08-15T18:03:25.945195Z","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":"2026-08-15T18:03:25.820506Z","title":"Automatic speech recognition for under-resourced languages: A survey,","venue":null,"work_id":"c8aeed31-0534-4027-87fe-40761c7ad046","year":2014},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.839639Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:44ebf7ce6226904af59a582befd2785b30605db1918f70742972e14487f7713f","observation_id":"b729d629-5605-4fca-b9a1-c1092ddb972c","resolution":{"observed_at":"2026-08-15T18:03:25.932638Z","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":"2026-08-15T18:03:25.703281Z","title":"Unsupervised pattern discovery in speech,","venue":null,"work_id":"a71ea0d4-05de-486e-a794-78ac91b921a6","year":2008},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.843588Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:fa180be51383413e5e0b6d58cc77dcc752191eea41cf031aa788b5c1479d0174","observation_id":"bfeb242f-e23b-4ee8-b789-4a98b45c1853","resolution":{"observed_at":"2026-08-15T18:03:25.707084Z","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":"2026-08-15T18:03:25.692020Z","title":"Unsupervised discovery of recurring speech patterns using probabilistic adaptive metrics,","venue":null,"work_id":"c1f64b24-18db-4141-86b9-06011d526d14","year":2020},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.847584Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:4f0313afab268c9e864a20478e403a76970b1201c436d1c4aa0754088757493c","observation_id":"2023fd75-b065-4929-9a75-18268cda1cd5","resolution":{"observed_at":"2026-08-15T18:03:25.695863Z","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":"2026-08-15T18:03:25.681255Z","title":"Spoken- term discovery using discrete speech units,","venue":null,"work_id":"8622210c-8739-4df4-a130-e1f47f0f3e23","year":2024},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.850656Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:a6a14612e934b05dbb4ff29915533480516cd17160690d5a57b154bf7b63565f","observation_id":"6b508661-60ff-4a0f-a8ec-0e9e919846d0","resolution":{"observed_at":"2026-08-15T18:03:25.685456Z","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":"2026-08-15T18:03:25.670084Z","title":"Unsupervised lexicon discovery from acoustic input,","venue":null,"work_id":"5cd9f05c-5a20-4670-ab84-6b4c3aac8990","year":2015},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:23.931227Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:373c82057af8d372345117a537e343d925733f21599e50427a5f2e9fc9100204","observation_id":"e2a1174f-7f78-4b8f-9f1a-a8526db9503b","resolution":{"observed_at":"2026-08-15T18:03:25.674165Z","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":"2026-08-15T18:03:25.658284Z","title":"DP-Parse: Finding word boundaries from raw speech with an instance lexicon,","venue":null,"work_id":"b61edbe9-4994-47da-8f03-95fdfeedf503","year":2022},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.009943Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:be49d7c259e40582910981cdc36ff63fbc351251bcec013aa5d6bcb14d4bb560","observation_id":"f3585d24-4b39-4e44-85a1-040a737cf94b","resolution":{"observed_at":"2026-08-15T18:03:25.661884Z","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":"2026-08-15T18:03:25.510826Z","title":"Double articulation analyzer with prosody for unsupervised word and phone discovery,","venue":null,"work_id":"9887b371-9aa8-4a86-ba50-fd2de01b34c3","year":2022},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.013620Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:e99cefe726f8fb474023898ca9b99e14a17758754340cef265c8bb7b426a1c2c","observation_id":"c14141c9-dd38-480e-ae6a-3cda313826de","resolution":{"observed_at":"2026-08-15T18:03:25.611680Z","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":"2026-08-15T18:03:25.411515Z","title":"Unsupervised word discovery from speech using automatic segmentation into syllable-like units,","venue":null,"work_id":"911963df-07de-4b60-a2a2-99801d1d10dd","year":2015},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.017961Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:0b7df67bd3660107b1637ba408c8ffef2a3696e5dd1457bd7d5808f6f6981b68","observation_id":"3e3cec19-2293-439f-84db-110ceb60be6f","resolution":{"observed_at":"2026-08-15T18:03:25.462265Z","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":"2026-08-15T18:03:25.357339Z","title":"Self-expressing autoencoders for unsupervised spoken term discovery,","venue":null,"work_id":"ca9a9cba-4b78-4325-a70e-c8c7654ef312","year":2020},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.023090Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:9f3d62e1c38d923f3d35b201c7d79409f39d196515eb2c8b96d774bdd307f5d2","observation_id":"4cabbb2c-985e-4f08-bcda-a6151bd85c9c","resolution":{"observed_at":"2026-08-15T18:03:25.362183Z","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":"2026-08-15T18:03:25.345711Z","title":"Word segmentation on discovered phone units with dynamic programming and self-supervised scoring,","venue":null,"work_id":"170ed47a-9feb-416a-b667-7fdef79006c2","year":2023},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.028396Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:6d3a467f1c8a697c8fc393bb36e8947b21735014683bfeb2e01c3afbe1312197","observation_id":"ebf14840-69e3-4d19-bf78-3c322cb1bf9b","resolution":{"observed_at":"2026-08-15T18:03:25.349373Z","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":"2401.17902","last_updated":"2024-01-31T15:06:34Z","snapshot_observed_at":"2026-08-16T14:22:50.455604Z","submitted_at":"2024-01-31T15:06:34Z","title":"Revisiting speech segmentation and lexicon learning with better features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17902","snapshot_observed_at":"2026-08-15T18:03:24.032458Z","title":"Revisiting speech segmentation and lexicon learning with better features,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.032458Z"},"links":{"cited_paper":"/paper/2401.17902","citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:95ce158cbcc6b985319087d44238e61474cefeecfeac1b259a1381a3ab2f53e3","observation_id":"828b63a6-3e21-424b-86fe-ec0232f3cb4a","resolution":{"observed_at":"2026-08-15T18:03:24.032458Z","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":"2026-08-15T18:03:25.333837Z","title":"A segmental framework for fully-unsupervised large-vocabulary speech recognition,","venue":null,"work_id":"333674e6-0f87-42a8-8a6e-496f1e143a86","year":2017},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.036437Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:38d66e0b8ebdb97e6b7c2291f2e0096f22a0af885368b21a79520a835f969320","observation_id":"04d72da2-751f-4c8e-95e9-548d38d8d716","resolution":{"observed_at":"2026-08-15T18:03:25.338021Z","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":"2026-08-15T18:03:25.321610Z","title":"Seg- mental contrastive predictive coding for unsupervised word segmentation,","venue":null,"work_id":"50c569f6-774c-4fc9-8b51-1c8a87a5b7ff","year":2021},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.040517Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:c9fe96948b60eb68292e6c441ace0d1fc28b0c853cfaccaf417685bb96974d49","observation_id":"e86459f4-a566-4142-8c2a-e64ea150c72f","resolution":{"observed_at":"2026-08-15T18:03:25.325898Z","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":"2026-08-15T18:03:25.309074Z","title":"Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words,","venue":null,"work_id":"b2b1b75b-cdd2-405d-8e2f-dad57690caba","year":2022},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.044854Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:9ccacc25e49fee8081bbdb9436581f23472ce5000a444242a4983aac1af1b423","observation_id":"8515698e-5b65-4e53-b193-583f5cb34bbc","resolution":{"observed_at":"2026-08-15T18:03:25.313208Z","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":"2026-08-15T18:03:25.295905Z","title":"An embedded segmental K-means model for unsupervised segmentation and clustering of speech,","venue":null,"work_id":"871db501-ba5e-417e-906f-b5e50a95a436","year":2017},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.048633Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:521016f0da9377beb8a850602c194098954228fa3edf215db645544d114547fc","observation_id":"fd0dea7a-0a9e-44d7-bc05-54b39febb0b8","resolution":{"observed_at":"2026-08-15T18:03:25.300406Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:03:24.052742Z","title":"What do self- supervised speech models know about words?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.052742Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:b8219299de4fc450f80590b4456140adba4526ed15494346e633bbac5e35fb36","observation_id":"bdf8617c-34c1-4cef-8411-a109ff991c2e","resolution":{"observed_at":"2026-08-15T18:03:24.052742Z","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":"2026-08-15T18:03:25.276474Z","title":"The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units,","venue":null,"work_id":"5f0e5837-5139-4f07-9092-5f8f5ab75eb7","year":2020},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.056411Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:8ba07a7e19ad42721ad7b29a3a496eec78a7323195110774b07fab15d664beed","observation_id":"5d85df8f-1f3d-40c3-8c5d-3dc50e83f814","resolution":{"observed_at":"2026-08-15T18:03:25.280019Z","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":"2026-08-15T18:03:25.264963Z","title":"Unsupervised word discovery: Boundary detection with clustering vs. dynamic programming,","venue":null,"work_id":"990fc9b3-b187-4a64-aba9-fe7b7533777d","year":2025},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.060438Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:1866287998ec8827d445c4a7a6268feca0615404068e16f2f20ee9dd47cbe7a1","observation_id":"55aec640-bb07-4e68-a6cf-de742179d3a6","resolution":{"observed_at":"2026-08-15T18:03:25.268777Z","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":"2026-08-15T18:03:25.252680Z","title":"Self-supervised speech representation learning: A review,","venue":null,"work_id":"c76360fc-029a-445d-b8bb-f9851eb5674e","year":2022},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.064840Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:eb56a11b1d781b4e1947218eed9e8d835040eb802bcd49681a74abcb47f5ab68","observation_id":"c6df0261-f0e9-44da-8d64-75ff9dc4abea","resolution":{"observed_at":"2026-08-15T18:03:25.257064Z","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":"2026-08-15T18:03:25.064979Z","title":"A computational model for unsupervised word discovery,","venue":null,"work_id":"494159aa-d66c-447c-bfc3-8832634ac4f9","year":2007},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.186418Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:1f8fa2f9800998efea18a7415e9bb09fb030300cfe526beb8345cb0ac48d624b","observation_id":"efb1e9e7-bff0-43f2-84bc-0ab0c950d567","resolution":{"observed_at":"2026-08-15T18:03:25.098777Z","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":"2026-08-15T18:03:25.013707Z","title":"Unsupervised word discovery from speech using automatic segmentation into syllable-like units,","venue":null,"work_id":"1dbfd766-3980-472c-9962-3b7a9ddd55f0","year":2015},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.282676Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:72864a00cc87b1360a305a22a27c7b8f595435d8353f383c7e753f87bd0e3427","observation_id":"72f56e68-6427-465f-9fbf-c1548754826a","resolution":{"observed_at":"2026-08-15T18:03:25.017972Z","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":"2026-08-15T18:03:25.001125Z","title":"Gibbs sampling for the uninitiated,","venue":null,"work_id":"f3c0786c-546c-445c-8319-a5be181af278","year":2010},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.286914Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:c7f7015e5c1d9d5ef014f4f5dbcde7fb9bb494c6246407cf723846f5fbd1707e","observation_id":"43cf381c-6ade-4b1c-8e6c-c09e0c406d6a","resolution":{"observed_at":"2026-08-15T18:03:25.005405Z","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":"2026-08-15T18:03:24.989631Z","title":"HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,","venue":null,"work_id":"d8811269-e6e8-4af9-b235-3268695713b1","year":2021},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.290396Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:a3593c7a9c8aff64392beaf68c5e9012ce951e3c51a4339f34d4c893e1f6edbe","observation_id":"18a2b00a-9764-43a0-bd81-3970ad6c13bf","resolution":{"observed_at":"2026-08-15T18:03:24.993612Z","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":"2026-08-15T18:03:24.962385Z","title":"Analyzing acoustic word embeddings from pre-trained self-supervised speech models,","venue":null,"work_id":"3ac9c3aa-332a-47be-9ea2-b776c5471725","year":2023},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.299758Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:e6d8448f8dfd9d4e7837bbf74f9f49c9d8bbd76e8a40496e75273dc5b28b9211","observation_id":"9d7a9fc0-75df-4129-80b2-ceae13f99dee","resolution":{"observed_at":"2026-08-15T18:03:24.968977Z","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":"2026-08-15T18:03:24.949920Z","title":"Word- level acoustic modeling with convolutional vector regression,","venue":null,"work_id":"9b794ede-d8f3-4878-872d-84193b0a232c","year":2012},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.303084Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:9ab2e957c839636f13f8f3c4abfc69c3c4f20a9fc7b92731dca1895fb2dd0d85","observation_id":"8cf82ab5-1b0b-4509-a4f9-f0a4de95a3de","resolution":{"observed_at":"2026-08-15T18:03:24.953779Z","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":"2026-08-15T18:03:24.937316Z","title":"Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings,","venue":null,"work_id":"10fc93b1-deac-4b40-8f51-6495d886fa4b","year":2013},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.306735Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:5ccc8e01060cad1dc0886fb140c5df26d44f43ad49958c1741361774ede57437","observation_id":"db08adaa-563a-4bbb-b4e7-4ba9ad25d55c","resolution":{"observed_at":"2026-08-15T18:03:24.941786Z","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":"2026-08-15T18:03:25.147554Z","title":"Unsupervised lexical clustering of speech segments using fixed-dimensional acoustic embeddings,","venue":null,"work_id":"c6297686-ee9a-4a2e-bed0-41695101f1ce","year":2014},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.310647Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:3a9dd7f7761ae1305120fa8da69f304b4bbcdcd98ab908332e421f2939f6de19","observation_id":"d789f689-6d98-42a9-aa1e-a2d0a8502b5c","resolution":{"observed_at":"2026-08-15T18:03:25.189829Z","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":"2026-08-15T18:03:24.899917Z","title":"Word discovery in visually grounded, self- supervised speech models,","venue":null,"work_id":"9d5de6ce-c39d-4f18-b2c3-0e0ea02986c9","year":2022},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.316413Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:c0e6250ca85d22fa0396538ba3e7f10effbb3f056f9c8669f5564a22cecb6b02","observation_id":"50e3dea5-b32d-47a1-b397-2e0ed9e1b40a","resolution":{"observed_at":"2026-08-15T18:03:24.927784Z","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":"2026-08-15T18:03:24.738036Z","title":"LibriSpeech: An ASR corpus based on public domain audio books,","venue":null,"work_id":"459ca086-fc65-4b02-ae81-e8632c548e5b","year":2015},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.320800Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:6eb4ca66a9384bc5071adde7b7097e079867b5a2b0da942a9977cd8082bf5ede","observation_id":"7c88df96-e511-4e77-a9f6-9c7e7b1977e0","resolution":{"observed_at":"2026-08-15T18:03:24.789272Z","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":"2026-08-15T18:03:24.677255Z","title":"An improved speech segmentation quality measure: the R-value,","venue":null,"work_id":"4a15ce73-1ad2-4440-ac1b-2c216e2ab114","year":2009},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.324700Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:5a7b8d11ffd099ae5ecfe7f6dd64816d332897762723c387971d1d4cdc53cc50","observation_id":"9fa13a77-9e21-4ba2-8c37-aa56616c35ed","resolution":{"observed_at":"2026-08-15T18:03:24.681221Z","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":"2026-08-15T18:03:24.665951Z","title":"On the robust automatic segmentation of spontaneous speech,","venue":null,"work_id":"9daec2a4-477c-4a82-8daf-12ccdc21e542","year":1996},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.329123Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:4aa928561d249dd80ae802c0240c97af12a7ab12b561b267307e3d58b838c038","observation_id":"95b9943d-dd51-4c8e-95b0-5b90f8c8482d","resolution":{"observed_at":"2026-08-15T18:03:24.669662Z","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":"2026-08-15T18:03:24.653025Z","title":"Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems,","venue":null,"work_id":"fdf67fcf-811a-40e4-8850-5821945e3666","year":2014},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.333142Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:548c409796550a8fbb5b9b0d8d4cdc82c4e9ba26b021757f1d9a984bfbd457b0","observation_id":"f5658963-2859-412e-a84e-f31de7c18945","resolution":{"observed_at":"2026-08-15T18:03:24.658012Z","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":"2026-08-15T18:03:24.977394Z","title":"A comparison of discrete and soft speech units for improved voice conversion,","venue":null,"work_id":"2721c98d-8873-4058-861e-94e17411206d","year":2022},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.386661Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:5a6705b35ef2689d90cade3db3aa2e166ed11302bc1f66341e2cbd2c0ed1afa9","observation_id":"3227de31-df6b-43f7-8300-a64707467467","resolution":{"observed_at":"2026-08-15T18:03:24.981781Z","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":"2026-08-15T18:03:24.631237Z","title":"The Zero Resource Speech Challenge 2019: TTS without T,","venue":null,"work_id":"62bc5d17-d884-4d76-b163-125d18cd1388","year":2019},"citing_paper":{"arxiv_id":"2507.19204","last_updated":"2025-07-28T14:43:23Z","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T18:03:24.499058Z"},"links":{"citing_paper":"/paper/2507.19204"},"observation_digest":"sha256:95ee6f40277faefeebef81fed26ced2f68be16464946f46ed59057c13556244e","observation_id":"9c009f01-d33e-4077-b336-5c4c7d0fbf2d","resolution":{"observed_at":"2026-08-15T18:03:24.638821Z","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":"2507.19204","last_updated":"2025-07-28T14:43:23Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-16T07:07:29.642981Z","submitted_at":"2025-07-25T12:19:16Z","title":"Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":38},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.19204."}