{"as_of":"2026-08-16T07:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ce2da2bed7a3da0083ae5a2ce29691b8050b7ce73145d06ef413106dd717dd97","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:01:16.555691Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"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":"2026-08-14T15:01:16.377171Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-14T15:01:16.687824Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"cited_work":{"arxiv_id":"1908.02284","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.02284","snapshot_observed_at":"2026-08-14T15:01:16.687824Z","title":"Two-stage Training for Chinese Dialect Recognition","venue":"cs.CL","work_id":"9c19b1f3-5798-4f65-a1ce-b4265709b9c1","year":2019},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.377171Z"},"links":{"cited_paper":"/paper/1908.02284","citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:0c02d04d73dc251ea908fe00179bfd457c8643731860e789a3317273cb2f87f6","observation_id":"2a0840a6-30dc-4433-b868-c2fefa4add3c","resolution":{"observed_at":"2026-08-14T15:01:16.693215Z","resolver_source":"local_arxiv","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/1908.02284/citation-record","integrity":"/paper/1908.02284/integrity","json":"/paper/1908.02284/citation-record.json","paper":"/paper/1908.02284"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:01:17.373966Z","title":"The task intro- duced in this paper is more challenging than general LID tasks cause we use a dialect database which contains 10 dialects in China","venue":null,"work_id":"86e201ff-e8a6-47d8-9459-5ca0eb85fba1","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.348120Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:7290173a430a89ec08009679321b810d88907e71e9efb21d708c556ba79168cd","observation_id":"6ead2451-9bce-4003-aa0f-3ccc3293a7b0","resolution":{"observed_at":"2026-08-14T15:01:17.379680Z","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":"2026-08-14T15:01:17.354318Z","title":"Our system won the first place in Xunfei (iFlyTek) Chi- nese Dialect Recognition Challenge, which attracted 110 teams joining in","venue":null,"work_id":"0360afdb-0244-47f8-b979-2b22026127fc","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.353267Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:b3f03673f9a2c0945ab8da2f8fd00f383771c88719b052b2207a72d8bc2c915d","observation_id":"47b215e4-6637-459c-8e7d-654e89d74798","resolution":{"observed_at":"2026-08-14T15:01:17.359988Z","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":"2026-08-14T15:01:17.340366Z","title":null,"venue":null,"work_id":"f65353c7-c764-46b9-8eb4-fafab31e1a99","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.359378Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:ff8624c06032915321f723c53a28730144a6315008d18516e7319fd5724d1af0","observation_id":"701631c9-b205-49eb-8d6e-774b9000df65","resolution":{"observed_at":"2026-08-14T15:01:17.345639Z","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":"2026-08-14T15:01:17.319966Z","title":"We train an AM in the first stage and then use the intermediate features from the AM as inputs to train an RNN to compute posteriors for LID in the second stage","venue":null,"work_id":"e740f2b3-a70a-4c85-a9b7-ba2cfa1d1c20","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.363715Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:bfd388ff70d2d9a60e993d95682a1c5ec23a5fe3be66797a9882171e81e443af","observation_id":"fda61e7c-a312-42e3-ae30-2c9db2ba8c01","resolution":{"observed_at":"2026-08-14T15:01:17.326663Z","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":"2026-08-14T15:01:17.299777Z","title":"The results show that the per- formance is slightly worse than the two-stage system","venue":null,"work_id":"3ba8f8f4-7515-4b9d-aee7-4a73d68779e6","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.370628Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:71f8db12862d01d6466c9caa4eee53d439cd7a1183c75097865f0af7df41030b","observation_id":"7de4b081-06c0-4f1c-9435-bd020cefff9f","resolution":{"observed_at":"2026-08-14T15:01:17.307132Z","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":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"cited_work":{"arxiv_id":"1908.02284","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.02284","snapshot_observed_at":"2026-08-14T15:01:16.687824Z","title":"Two-stage Training for Chinese Dialect Recognition","venue":"cs.CL","work_id":"9c19b1f3-5798-4f65-a1ce-b4265709b9c1","year":2019},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.377171Z"},"links":{"cited_paper":"/paper/1908.02284","citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:0c02d04d73dc251ea908fe00179bfd457c8643731860e789a3317273cb2f87f6","observation_id":"2a0840a6-30dc-4433-b868-c2fefa4add3c","resolution":{"observed_at":"2026-08-14T15:01:16.693215Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:01:17.283442Z","title":"Network structure The major network structure we use in the two-stage system can be divided to the CNN part and the RNN part, as described in Table 1","venue":null,"work_id":"e34392fa-32fe-463b-b69d-51462acf83fb","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.383619Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:c371e4dbcc23996e35efbc438965e768c56e26a58b283c4bad2c709e539b10c5","observation_id":"2aa1133f-fd74-4d64-a831-45eaec3045ae","resolution":{"observed_at":"2026-08-14T15:01:17.288424Z","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":"2026-08-14T15:01:17.265393Z","title":null,"venue":null,"work_id":"3ea383a7-8e49-4d3d-b49b-e34858642b9b","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.390147Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:c47256297cfab2fba513664612756472a9a1286ca53cff932b6e7da791c98de1","observation_id":"53e78f20-6f27-454e-92c0-8fe00d0ea287","resolution":{"observed_at":"2026-08-14T15:01:17.271228Z","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":"2026-08-14T15:01:17.246081Z","title":null,"venue":null,"work_id":"a4939f27-3bf3-44a9-baa5-cb173ce61157","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.395489Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:a96cc7c07d19fecf9006724c67483a3ffa4d345d303ac3b67831d0db5de41593","observation_id":"d01bd610-87d3-40ad-a76c-7246bd6394ba","resolution":{"observed_at":"2026-08-14T15:01:17.252502Z","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":"2026-08-14T15:01:17.224453Z","title":"The system links the different stages by using inter- mediate features extracted by a shallow ResNet14 architecture","venue":null,"work_id":"ed7d4b77-8144-47c0-8203-fc436c3649eb","year":null},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.400211Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:71b9682498d60f6b6ec8629efb7f9f1780747d62a143da1cb291fe57b2454739","observation_id":"32eb63fb-12c8-4a54-bd3b-388593e64b74","resolution":{"observed_at":"2026-08-14T15:01:17.230559Z","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":"2026-08-14T15:01:17.205952Z","title":"Deep neural network approaches to speaker and language recognition,","venue":null,"work_id":"737b82cc-db46-4427-b4d5-2c1d6e2d6897","year":2015},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.405767Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:4c950a8576686bf1622776523fe7c8b7148b6ceabaed1df3521631b797f4096f","observation_id":"d2c3f59f-d860-4061-b380-9fa6bd5200d4","resolution":{"observed_at":"2026-08-14T15:01:17.215778Z","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":"2026-08-14T15:01:17.182947Z","title":"Multi- lingual bottleneck features for language recognition,","venue":null,"work_id":"16968087-7b91-45bc-9d81-5d68187ccf05","year":2015},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.414756Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:9e79ebd14f324daf74d75edb7d4014b9731d94068ea4a18f38b7fef5de0e3dbb","observation_id":"c9e53584-0ce9-48b3-a745-1bfed40b1e2b","resolution":{"observed_at":"2026-08-14T15:01:17.191471Z","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":"2026-08-14T15:01:17.166364Z","title":"Neural network bottleneck features for language identification,","venue":null,"work_id":"c588ceb2-121b-404b-8a9f-89b491c82602","year":2014},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.422189Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:486aada530d5b46965a81f4e46b29cdbb2725d699413b53917718a859959e9f6","observation_id":"c7fd27ad-112e-4eeb-823c-09297667a8f6","resolution":{"observed_at":"2026-08-14T15:01:17.172323Z","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":"2026-08-14T15:01:17.144154Z","title":"Deep bottleneck features for spoken language identifica- tion,","venue":null,"work_id":"fb809dba-28a9-4120-bb9f-12e0450d41d6","year":2014},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.428811Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:0a6145d2ccbd7389295777453d7fef3fb0c75d3bbc36d75cf0271ef2c045e3ce","observation_id":"8ce030ea-6782-4997-a12b-f668764a12a3","resolution":{"observed_at":"2026-08-14T15:01:17.150410Z","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":"2026-08-14T15:01:17.129112Z","title":"Automatic lan- guage identification using deep neural networks,","venue":null,"work_id":"3846d864-c46f-4cef-bf02-8789ad361fbb","year":2014},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.434428Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:0521bfe6a2294e8bdfe9e19a179020ed85e7f5c9e91c837a42e09289d9005354","observation_id":"38cabba7-0b8b-479e-bb6d-650f717262eb","resolution":{"observed_at":"2026-08-14T15:01:17.134162Z","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":"2026-08-14T15:01:17.113859Z","title":"An end-to-end approach to language identification in short utterances using convolutional neural networks,","venue":null,"work_id":"cf2132b5-3370-44f6-a043-93f5aa76025c","year":2015},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.441937Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:8bdc9b1d8839262adfe45dd42109dedae91e2c27cac93fa55c46ee4c0956d1d9","observation_id":"25a5ea2c-dd80-40d8-96d4-14224bed1d48","resolution":{"observed_at":"2026-08-14T15:01:17.120001Z","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":"2026-08-14T15:01:17.086475Z","title":"End-to- end language identification using high-order utterance representa- tion with bilinear pooling,","venue":null,"work_id":"ac8c3f72-7527-497d-b985-f1b6ced926c3","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.447371Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:15a6476dfbfe4685da99264d7171f052c6eaccbfa6b625a914fff728261bc167","observation_id":"610746a5-533f-42e8-9a23-792ab79ffea9","resolution":{"observed_at":"2026-08-14T15:01:17.096902Z","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":"2026-08-14T15:01:17.057510Z","title":"Stacked long-term tdnn for spoken language recognition","venue":null,"work_id":"deaa44aa-e2e9-452f-99e1-5dd4870074fa","year":2016},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.452462Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:fa6b3eb3272dbeb0ceb3fbaceaf0f7faa0cd308cba6844229d12f5abfb9c3645","observation_id":"c6b2873d-9abd-4290-98a8-e8ad2c024812","resolution":{"observed_at":"2026-08-14T15:01:17.062705Z","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":"2026-08-14T15:01:17.044081Z","title":"Automatic language identification using long short-term memory recurrent neural networks,","venue":null,"work_id":"ee168afe-a226-4373-9c71-ff7701f7e388","year":2014},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.457410Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:ae4648de543161fb993709742bf3b5e140dc77a1931cb94e1f0d400c29f2340a","observation_id":"15333647-c19d-4cce-bcda-e36ecfc4ca05","resolution":{"observed_at":"2026-08-14T15:01:17.048482Z","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":"2026-08-14T15:01:17.026103Z","title":"End-to-end language identification using attention-based recurrent neural net- works,","venue":null,"work_id":"f245d726-3516-4c2d-bc79-306e3f35b63f","year":2016},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.462775Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:4c477ae84f2f2d39164ad9b2477cf5f048672c9a6498d2a9369bf525ed09d4a2","observation_id":"c6cc72f2-6cb2-4e32-9cc4-768eec94c82e","resolution":{"observed_at":"2026-08-14T15:01:17.033027Z","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":"2026-08-14T15:01:17.003775Z","title":"Spoken language identification us- ing lstm-based angular proximity","venue":null,"work_id":"23d57b08-78fb-4dcc-904f-1a6864138772","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.468759Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:2e21ad47823ab6bb7776a2039aaad4da4de1d630ce48883659dfb632361d312e","observation_id":"2d237bf2-aab5-49c1-8c61-7b71f4b7010e","resolution":{"observed_at":"2026-08-14T15:01:17.009396Z","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":"1902.07374","last_updated":"2019-02-20T02:14:35Z","snapshot_observed_at":"2026-08-14T17:14:03.367628Z","submitted_at":"2019-02-20T02:14:35Z","title":"Utterance-level end-to-end language identification using attention-based CNN-BLSTM","version":1},"cited_work":{"arxiv_id":"1902.07374","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.07374","snapshot_observed_at":"2026-08-14T15:01:16.664077Z","title":"Utterance-level end-to-end language identification using attention-based CNN-BLSTM","venue":"eess.AS","work_id":"e0c889db-5da9-4320-adec-7bc2862b66af","year":2019},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.474819Z"},"links":{"cited_paper":"/paper/1902.07374","citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:711e498e496dec922bb6855097d1bbfd04cc35366b8d08257b346756dcc6aa2b","observation_id":"3cda4dda-c0ea-40f3-ab3d-b7adb392a583","resolution":{"observed_at":"2026-08-14T15:01:16.671066Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:01:16.978193Z","title":"Dnn based embeddings for language recognition,","venue":null,"work_id":"93566409-96cd-46dd-954b-8c49c7ee3886","year":2018},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.479783Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:459ad80e83754da73d3d1a7e288e1f41f5c993a93d827158293eeec4ad33828f","observation_id":"e7396277-f534-4987-9a69-967e729e997f","resolution":{"observed_at":"2026-08-14T15:01:16.986180Z","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":"2026-08-14T15:01:16.952657Z","title":"Phonetic tempo- ral neural model for language identification,","venue":null,"work_id":"7f236cbd-b07c-4c4c-89d7-40f00338886e","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.484394Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:6d26c66af1b6552b647c7773503432e179efba81a1e8a83d718d392b2c4fa230","observation_id":"d93739c8-bb97-436e-a958-f9e33114faa7","resolution":{"observed_at":"2026-08-14T15:01:16.961151Z","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":"2026-08-14T15:01:16.937440Z","title":"Parallel pho- netically aware dnns and lstm-rnns for frame-by-frame discrimi- native modeling of spoken language identification,","venue":null,"work_id":"4f5699bb-58d1-486a-b312-82f462a73727","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.489383Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:406401a8d13e72ae137f95b1ad5041f718418fb54089711daf670b4e0778815d","observation_id":"e166b4de-9300-4cc7-98d2-3c28d92ccff4","resolution":{"observed_at":"2026-08-14T15:01:16.942427Z","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":"2026-08-14T15:01:16.914901Z","title":"Using deep neural networks for identification of slavic languages from acoustic signal,","venue":null,"work_id":"5811e9c5-329a-435e-a071-26a323fccfe8","year":2018},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.495923Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:aeabe7eeb9d3bb7a3d03f2d41ab1537cc8af540b7c2de005bf6cbb099088ff7c","observation_id":"5eb65ffe-a846-441d-8069-1fb904dcb9a5","resolution":{"observed_at":"2026-08-14T15:01:16.920699Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-14T15:01:16.500452Z","title":"Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.500452Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:241eb4e3cca8bced28e8326b9354f7db5079b310689fa69bf9056b4c112ca0f3","observation_id":"d666fbfc-354f-4b52-8318-0d4845f970a5","resolution":{"observed_at":"2026-08-14T15:01:16.500452Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:01:16.505441Z","title":"Deep neural networks for acoustic modeling in speech recognition,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.505441Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:efd045f9e5297e73544e482afbdfbf4db5f1efaaef1f89ed0df8d6619a0330a7","observation_id":"a7a87b33-988e-4e5c-884f-4560e3e7a2b2","resolution":{"observed_at":"2026-08-14T15:01:16.505441Z","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":"2026-08-14T15:01:16.843327Z","title":"Speech recognition with deep recurrent neural networks,","venue":null,"work_id":"91478b6c-feb6-4705-8635-3ea909b12f56","year":2013},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.512454Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:83eebe13f6c312e243d419c3c52b973eb3599eb321b0ee68bac104fa7d0f2a2a","observation_id":"d93537fc-1da7-4048-9abd-bec13afa870b","resolution":{"observed_at":"2026-08-14T15:01:16.850624Z","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":"2026-08-14T15:01:16.518442Z","title":"Towards end-to-end speech recognition with recurrent neural networks,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.518442Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:36c8af0b0211fc44350f3ef7444ec43c17254f321f4bf5be8157cacfc391fab7","observation_id":"67b5a38e-5c7c-4f4d-a9e1-b6ff2509ad0f","resolution":{"observed_at":"2026-08-14T15:01:16.518442Z","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":"2026-08-14T15:01:16.812399Z","title":"Deep speech 2: End-to-end speech recognition in english and mandarin,","venue":null,"work_id":"edbfb306-cd60-432e-917b-ba31101be5e6","year":2016},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.522794Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:be92a79f6c08144789b7c551c70054d548c3362271e8a73e27254bd8bca48138","observation_id":"e414a26f-3b42-418d-bac4-aefdc14c0b44","resolution":{"observed_at":"2026-08-14T15:01:16.819122Z","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":"2026-08-14T15:01:16.783297Z","title":"An end-to-end trainable neural net- work for image-based sequence recognition and its application to scene text recognition,","venue":null,"work_id":"3cbfa898-c155-4108-aaeb-48301175b3d7","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.526903Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:bcbf6d0e25055b34e441d72f2ecd6fd193a591d65e00194cbe1e55e95ba7fcf8","observation_id":"6888215e-bcb5-4506-8cb6-f6d2c6a6bf7d","resolution":{"observed_at":"2026-08-14T15:01:16.796682Z","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":"2026-08-14T15:01:16.761219Z","title":"Towards end-to-end speech recognition with deep convolutional neural networks,","venue":null,"work_id":"8cd33d95-5460-40ed-9fda-a7546eb58dd7","year":2016},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.530840Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:52620e702e6c032720c0aa926c761237fa7b4c35654ab05b4a6d2518722967dc","observation_id":"e01513bc-c6ec-474b-a59e-66f2e435eaf8","resolution":{"observed_at":"2026-08-14T15:01:16.767374Z","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":"1702.07793","last_updated":"2017-02-24T22:49:13Z","snapshot_observed_at":"2026-08-14T21:14:51.127863Z","submitted_at":"2017-02-24T22:49:13Z","title":"Residual Convolutional CTC Networks for Automatic Speech Recognition","version":1},"cited_work":{"arxiv_id":"1702.07793","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.07793","snapshot_observed_at":"2026-08-14T15:01:16.639891Z","title":"Residual Convolutional CTC Networks for Automatic Speech Recognition","venue":"cs.CL","work_id":"32a79e3f-1a55-4d39-a5c8-57ff99377a6c","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.534626Z"},"links":{"cited_paper":"/paper/1702.07793","citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:6d65b33d55742f0b724972d4c4585e500d5fd8046a5f6fa1e129512b48d0a8fd","observation_id":"450a176d-934e-4275-9215-8664de92407c","resolution":{"observed_at":"2026-08-14T15:01:16.645132Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:01:16.737169Z","title":"Residual lstm: Design of a deep recurrent architecture for distant speech recognition,","venue":null,"work_id":"3e044791-6307-4195-91f4-20203dc1b85e","year":2017},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.538950Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:dff43284f90a83bff06720d7fcd7b145ecad5323b96479065f8a1ca71cc1d023","observation_id":"9c8e098c-a806-476f-bf67-3f9e46a53322","resolution":{"observed_at":"2026-08-14T15:01:16.742642Z","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":"2026-08-14T15:01:16.542909Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.542909Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:57bfe3866c8bbb7b5f215e3a26cceda9f7078113c2402c92cb3e9f4ab5008b32","observation_id":"478a67f2-fc0a-4b6e-9e5f-5d1331216799","resolution":{"observed_at":"2026-08-14T15:01:16.542909Z","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":"2026-08-14T15:01:16.708045Z","title":"Bidirectional recurrent neu- ral networks,","venue":null,"work_id":"0990467e-4026-41a3-a25b-01a251b2f011","year":1997},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.546795Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:da035654d48e87ec61eb95c1472e75b6d9e19f0be8c3504f52cda4f8539d405e","observation_id":"b6244140-4fff-41ae-91b3-deb84957f51a","resolution":{"observed_at":"2026-08-14T15:01:16.712639Z","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":"10.21437/interspeech.2018-1226","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:01:16.592717Z","title":"Speaker embedding extraction with phonetic information,","venue":null,"work_id":"a53a3c85-82af-47e7-8919-a01f0872e9ab","year":2018},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.550866Z"},"links":{"citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:4a6f07770e183cc3f769a33875a51427581cba53bbf74759e705ca99d576c3ff","observation_id":"4d031886-f171-4e72-8fb1-cde93a0bdc40","resolution":{"observed_at":"2026-08-14T15:01:16.600865Z","resolver_source":"doi","status":"verified_exact"},"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":"1811.09355","last_updated":"2019-05-12T07:26:57Z","snapshot_observed_at":"2026-08-16T04:00:36.585317Z","submitted_at":"2018-11-23T04:08:15Z","title":"Training Multi-Task Adversarial Network for Extracting Noise-Robust Speaker Embedding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.09355","snapshot_observed_at":"2026-08-14T15:01:16.555691Z","title":"Training multi-task adversarial network for extracting noise-robust speaker embedding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T15:01:16.555691Z"},"links":{"cited_paper":"/paper/1811.09355","citing_paper":"/paper/1908.02284"},"observation_digest":"sha256:2aedf8a815a1c990a871948c5e9f518bd4c5ac716d82c491377f56af52c1a1bd","observation_id":"55f82807-bb7f-450c-bac3-13c2ad3eac49","resolution":{"observed_at":"2026-08-14T15:01:16.555691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.02284","last_updated":"2019-08-10T09:28:00Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T06:07:16.216007Z","submitted_at":"2019-08-06T04:28:56Z","title":"Two-stage Training for Chinese Dialect Recognition"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":4,"verified_fuzzy":26},"total_outbound_references":39},"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 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:1908.02284."}