{"as_of":"2026-08-20T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bfe8428b4474d30ef529957eb69bc8f93b6de66d91dad01c2e48140f80a757b2","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:28:44.239884Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:28:43.454599Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T08:06:48.157851Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16574","snapshot_observed_at":"2026-08-15T19:28:43.454599Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.454599Z"},"links":{"cited_paper":"/paper/2506.16574","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:7e257559d9c25c6d3c33d8e5e5fa41fa36be1fb0ed93744a55117bea38a99a2e","observation_id":"86bec183-9dfd-4ca4-ab9b-385c5ff53eca","resolution":{"observed_at":"2026-08-15T19:28:43.454599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"cited_work":{"arxiv_id":"2506.16574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.16574","snapshot_observed_at":"2026-07-02T08:06:48.157851Z","title":"Changhan Wang, Anne Wu, and Juan Pino","venue":null,"work_id":"1cc46747-113e-4e2d-a0d5-056fecf4d2bf","year":null},"citing_paper":{"arxiv_id":"2606.04730","last_updated":"2026-06-03T11:13:37Z","snapshot_observed_at":"2026-08-16T11:18:55.350023Z","submitted_at":"2026-06-03T11:13:37Z","title":"Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T06:22:10.945176Z"},"links":{"cited_paper":"/paper/2506.16574","citing_paper":"/paper/2606.04730"},"observation_digest":"sha256:97692dd98d9f1b862d077ae2a02f8afb5577a5f883e44ae517a645a917d47698","observation_id":"16381bde-3948-4bb1-870c-af881081e404","resolution":{"observed_at":"2026-07-02T08:06:48.159231Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.16574/citation-record","integrity":"/paper/2506.16574/integrity","json":"/paper/2506.16574/citation-record.json","paper":"/paper/2506.16574"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16574","snapshot_observed_at":"2026-08-15T19:28:43.454599Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.454599Z"},"links":{"cited_paper":"/paper/2506.16574","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:7e257559d9c25c6d3c33d8e5e5fa41fa36be1fb0ed93744a55117bea38a99a2e","observation_id":"86bec183-9dfd-4ca4-ab9b-385c5ff53eca","resolution":{"observed_at":"2026-08-15T19:28:43.454599Z","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":"2026-08-15T19:28:46.323651Z","title":"Each dataset Dt consists of samples (xi t,y i t) be- ing the input utterances and labels respectively","venue":null,"work_id":"ede2fa55-e5e5-4632-881e-dfc1a609e05e","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.529708Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:0650074fae6ae517df35bd02f8318c8fed33c3ebfd26d78c7d8862f4045b0cc8","observation_id":"16ac5445-9366-4879-a2dd-6d9474c637c3","resolution":{"observed_at":"2026-08-15T19:28:46.341189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.304623Z","title":"In the factoriza- tion phase, we aim to expand the knowledge base model using temporary, learnable adapters on the datasets to be learned","venue":null,"work_id":"594852d7-9f0e-4947-b2d2-6f1ed0e3b5ce","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.550615Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:5e39d51c045445dc63210b8cab77e5abe38d8410fc28e6d0e4abaea6fc87a650","observation_id":"3595a2cb-c809-4434-b269-e6b365001277","resolution":{"observed_at":"2026-08-15T19:28:46.311349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.289037Z","title":"In practice, however, model weights have different standard deviation because the regular- ization term is dominated by the main cross entropy loss, which depends on the data","venue":null,"work_id":"53c122d5-2738-4a4f-8e59-5032b928469e","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.554616Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:c486292b1dbb80b2cb80ba46780ab615965d0466f34ad999473e09107baa5952","observation_id":"27881075-dbac-4495-805a-accf29746f66","resolution":{"observed_at":"2026-08-15T19:28:46.294178Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.245100Z","title":"recovered","venue":null,"work_id":"8838675c-4fc6-4e6c-a4ed-859da816d1ad","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.558296Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:b45c39f425d480e400f49bee7efa507f0055424504824c9955661c5847a51938","observation_id":"96161897-b426-4546-8415-b82d74b3147b","resolution":{"observed_at":"2026-08-15T19:28:46.279358Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.126185Z","title":null,"venue":null,"work_id":"aaccfe96-d68e-4acf-a711-e0f3ffc5821f","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.561911Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:6959fe249b777e36b836fc06a18bc170b91887dd2bdfe42f0d8f1f16d85a8f09","observation_id":"90f34976-d360-4f76-8003-7cc1cf69ec9c","resolution":{"observed_at":"2026-08-15T19:28:46.187134Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.111849Z","title":null,"venue":null,"work_id":"8d27c365-1c4f-4779-b6c5-5048f12e3b11","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.565330Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:0a11c040a92e0c8353449886046ad84e05d8b28b4d8d7bcc3aab3ae84b9389d3","observation_id":"efa0318f-8f78-4a5a-8923-15fd957e5f3b","resolution":{"observed_at":"2026-08-15T19:28:46.116541Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.099145Z","title":"Robust speech recognition via large-scale weak su- pervision,","venue":null,"work_id":"8a14ed8a-092a-4c64-94bd-8dac52220370","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.569408Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:0b407d194b2203a38206405ec46a1de7a082540d4915f3d3f3bc808164482947","observation_id":"c313520d-5190-40db-b651-a86776718844","resolution":{"observed_at":"2026-08-15T19:28:46.103511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01512","last_updated":"2022-11-09T16:52:45Z","snapshot_observed_at":"2026-08-16T16:27:04.150506Z","submitted_at":"2022-10-04T10:34:25Z","title":"Code-Switching without Switching: Language Agnostic End-to-End Speech Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.01512","snapshot_observed_at":"2026-08-15T19:28:43.616801Z","title":"Code-switching with- out switching: Language agnostic end-to-end speech translation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.616801Z"},"links":{"cited_paper":"/paper/2210.01512","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:0d5980373445b291ad26f36288e1d1dbfe4ebef082ffca8cf362b54da20beb76","observation_id":"33a0ee30-9c05-42c8-abc2-c051ec96a444","resolution":{"observed_at":"2026-08-15T19:28:43.616801Z","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":"2026-08-15T19:28:46.085179Z","title":"Automatic extraction of named entity translingual equivalence based on multi-feature cost minimization,","venue":null,"work_id":"7ab914fe-8807-428c-aeee-e248bd9a1d27","year":2003},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.669939Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:8c86fd012b60774955211e9688da948ce8304023c48ab5aed8dee1c3521b9f7a","observation_id":"77fd3e5c-215e-4bfc-b812-eb95945f5c57","resolution":{"observed_at":"2026-08-15T19:28:46.089905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:46.069201Z","title":"Towards better language models for spontaneous speech,","venue":null,"work_id":"9651ccbe-184e-4c50-82cf-cf654e29f932","year":1994},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.674951Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:8f2cf38d480048a6f53797131c3ad45e98df9db6b78c0e97ee914826e52a05ba","observation_id":"fbe91850-21d1-4364-acaa-1728a545cfbe","resolution":{"observed_at":"2026-08-15T19:28:46.074462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.907172Z","title":"Multilingual ar- ticulatory features,","venue":null,"work_id":"54b4383a-b07c-47ea-a82d-dd8735bd17d9","year":2003},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.679178Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:661cd0c1fd36dbbd666622c5bff82609cc0ffb2a4926599096d1bff685ca4145","observation_id":"11043844-3805-4b0a-a7b2-7e1b951f8776","resolution":{"observed_at":"2026-08-15T19:28:45.966295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:43.683743Z","title":"Simultaneous translation of open do- main lectures and speeches,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.683743Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:9a9657c187f296d0f6401fc2196c23b6aa30ffbff77c7f4decd36ac2f9dc2020","observation_id":"c3acd7f7-9041-4238-823e-9a37715ae02e","resolution":{"observed_at":"2026-08-15T19:28:43.683743Z","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":"2026-08-15T19:28:43.688133Z","title":"Chil: Computers in the human interaction loop,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.688133Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:39e42cf3bc82fc5405477acc8e08c4ed2de2a7b3760404185f8c964e7b332f54","observation_id":"d9eb4fa1-659a-4838-b344-f86aa05c241e","resolution":{"observed_at":"2026-08-15T19:28:43.688133Z","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":"2026-08-15T19:28:45.873583Z","title":"Efficient Weight Factorization for Multilingual Speech Recognition,","venue":null,"work_id":"a3a52102-050d-46dd-9db5-9e0deabdded8","year":2021},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.693464Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:81486d869b4cd986104cd9a2fc452e8f5a8afadfffbbc981c7ddd8209aecd325","observation_id":"5ff45b22-5a7a-4134-86ff-179bab844f75","resolution":{"observed_at":"2026-08-15T19:28:45.880195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-20T11:47:17.477107Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-15T19:28:43.697772Z","title":"Lora: Low-rank adaptation of large lan- guage models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.697772Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:ab26165b393288fe93a8c619fa1d547ef561e3e79864546a9128f88a9d1a0792","observation_id":"d859b56d-fa85-4d56-82ec-b9ae0f076eff","resolution":{"observed_at":"2026-08-15T19:28:43.697772Z","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":"2026-08-15T19:28:45.862470Z","title":"Catastrophic forgetting, rehearsal and pseudore- hearsal,","venue":null,"work_id":"e27b8370-b0f9-4adb-bbc8-7c5f12cfdad9","year":1995},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.702210Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:d11d842292eadbb8c98e65a1fae2d8c5d98fa6f293a4d9535523a386f0c54af7","observation_id":"9a50ccb8-819e-4e2d-a424-2f4bba5b2a8c","resolution":{"observed_at":"2026-08-15T19:28:45.866488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.823388Z","title":"Continual learning with deep generative replay,","venue":null,"work_id":"7fd6b350-abb6-4218-9df5-ab59f4f54ecc","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.707799Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:acd1c325ecf87ac5510310ec79fb15f5fd361f852e7823edf8a5f23914c89cb8","observation_id":"712872d8-3af5-48f3-bc12-762bf2c70380","resolution":{"observed_at":"2026-08-15T19:28:45.854702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.692092Z","title":"Overcoming catastrophic forgetting in neural net- works,","venue":null,"work_id":"a7e8e554-f506-4519-b8ca-5d93041c5050","year":2017},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.745755Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:fe539b86ddf9ce5e1b4d48f2af87deb8cc760a43405f41a653764e6324f20ccb","observation_id":"c00229c5-57da-4fc9-8a91-7252e2eff6cd","resolution":{"observed_at":"2026-08-15T19:28:45.718274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.678883Z","title":"Regularize, expand and compress: Non- expansive continual learning,","venue":null,"work_id":"362a4320-f30d-4cb0-bd69-660ed2fefc67","year":2020},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.803824Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:3677d0a793871f8e9549afc63ebfb8488dc74babb100f6769f4422f77ce75347","observation_id":"9f25b8c8-1bac-4c70-8b8b-aaf2b7465105","resolution":{"observed_at":"2026-08-15T19:28:45.683431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-20T02:19:19.028550Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-15T19:28:43.831328Z","title":"Progressive prompts: Continual learning for lan- guage models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.831328Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:9d0c5804f5d6b49684837ddd29c0ebd06c726b7bd7bf7ee28f1268910b0ac9e3","observation_id":"042ed793-8cc5-4e7b-8d7b-63e224b6bf19","resolution":{"observed_at":"2026-08-15T19:28:43.831328Z","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":"2026-08-15T19:28:45.666674Z","title":"Towards continually learning new languages,","venue":null,"work_id":"91713206-3982-4d62-952b-17dfff150e9e","year":2023},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.835951Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:6aca7ecaeec7d4fd66a51f9a7ec7b01838e9d30c98f34116b0e09a53ae827773","observation_id":"ccb23292-478d-4e65-822e-c78129e04f40","resolution":{"observed_at":"2026-08-15T19:28:45.671172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05407","last_updated":"2019-02-25T14:18:11Z","snapshot_observed_at":"2026-08-14T19:36:09.254749Z","submitted_at":"2018-03-14T17:09:27Z","title":"Averaging Weights Leads to Wider Optima and Better Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05407","snapshot_observed_at":"2026-08-15T19:28:43.840602Z","title":"Averaging weights leads to wider optima and better gen- eralization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.840602Z"},"links":{"cited_paper":"/paper/1803.05407","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:ead2dea55f615613e36729d58dd9b6185c037258f00df2cb72a47513da19d0b7","observation_id":"86715044-9260-4c6d-99e2-00496d2b7794","resolution":{"observed_at":"2026-08-15T19:28:43.840602Z","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":"2026-08-15T19:28:45.641257Z","title":"Streaming diloco with overlapping communication: Towards a distributed free lunch","venue":null,"work_id":"7aa52e0d-93cf-44c4-8af4-838d7815729b","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.844642Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:40f8411576eb9effad5600dd5790b624e69358a48d10784307b7f941c8be65b1","observation_id":"7a8723db-cf55-485a-aa2a-c9176b3814b7","resolution":{"observed_at":"2026-08-15T19:28:45.657716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.574946Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,","venue":null,"work_id":"eae1a8a2-2233-40bc-b2f5-f69a715e76cf","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.848708Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:6396602632cb1b47086ca44e39a79e1aeb7e0c0ab0240ece7871d5ae7a401944","observation_id":"e281d27e-9fa8-4840-a92c-1b90df5683ca","resolution":{"observed_at":"2026-08-15T19:28:45.612187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.562035Z","title":"Continual learning through synaptic intelligence,","venue":null,"work_id":"c65f3799-18c9-4767-9118-853921f8aca6","year":2017},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.851684Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:12011832ef0087c8238c281313fe58d38b921f3e64041f1aa85691c3559d3554","observation_id":"a8e4924f-f6e9-4b69-a21e-fa289d6a5c86","resolution":{"observed_at":"2026-08-15T19:28:45.566720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10628","last_updated":"2018-05-20T14:51:43Z","snapshot_observed_at":"2026-08-14T20:19:14.327014Z","submitted_at":"2017-10-29T15:30:58Z","title":"Variational Continual Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10628","snapshot_observed_at":"2026-08-15T19:28:43.855180Z","title":"Variational continual learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.855180Z"},"links":{"cited_paper":"/paper/1710.10628","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:1db94edf3b031eba3f94f981c212b1c8a3015ca27cec83f6719fc488dd9b1554","observation_id":"f6aa6011-2416-4a7d-9528-520eeaad4080","resolution":{"observed_at":"2026-08-15T19:28:43.855180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.06494","last_updated":"2019-02-18T10:22:13Z","snapshot_observed_at":"2026-08-19T01:39:37.348665Z","submitted_at":"2019-02-18T10:22:13Z","title":"A Unifying Bayesian View of Continual Learning","version":1},"cited_work":{"arxiv_id":"1902.06494","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.06494","snapshot_observed_at":"2026-08-15T19:28:44.292653Z","title":"A Unifying Bayesian View of Continual Learning","venue":"stat.ML","work_id":"1b25a064-7df2-432f-9434-d716033756fe","year":2019},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.893329Z"},"links":{"cited_paper":"/paper/1902.06494","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:923030cc8fa98cea30372b5a40661be91626f9cfa21d57ff08010ae32b98de18","observation_id":"71114be4-e726-4dc0-82f2-3070e1c1f632","resolution":{"observed_at":"2026-08-15T19:28:44.351586Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:43.934739Z","title":"Gradient episodic memory for continual learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.934739Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:7d2f5514a479598cec6126ce503ecb876ae3b7a122d3e8bb6d352c40e5cd73ce","observation_id":"f37296ca-1387-4ba5-a38f-1f215d4e07a8","resolution":{"observed_at":"2026-08-15T19:28:43.934739Z","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":"2026-08-15T19:28:45.525535Z","title":"Coda-prompt: Con- tinual decomposed attention-based prompting for rehearsal-free continual learning,","venue":null,"work_id":"2527113c-1f13-4c61-ac3d-b4b5b060a120","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.947949Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:39b6ab5efe6bfb1446f3931fe958168c607c3d7d884492382dd9217575e926e5","observation_id":"2d16ff2c-0212-43ef-bf55-bee7b39e3ca8","resolution":{"observed_at":"2026-08-15T19:28:45.544374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.371393Z","title":"Learn and don’t forget: Adding a new language to asr foundation models,","venue":null,"work_id":"04c286cc-ccab-420f-937c-dd691f3417df","year":2024},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.952577Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:1448f5b5e8853b245b393b57dc6e4dce59ba05e905ad1a37588702dc27330cd8","observation_id":"9881e036-f86a-4a45-99b2-f9f66ab4e9ad","resolution":{"observed_at":"2026-08-15T19:28:45.462694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.359248Z","title":"Continuously learning new words in automatic speech recognition,","venue":null,"work_id":"ffccee0f-668e-4441-b62e-847a8640d4bf","year":2024},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.956324Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:f0b0a6a6135d275cd1d6e09c9268affbea49f22f3a57f4a7aed597075f698569","observation_id":"541a83ca-17dd-44ab-ac5b-1162d732618f","resolution":{"observed_at":"2026-08-15T19:28:45.363527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.333630Z","title":"Rehearsal-free online continual learning for automatic speech recognition,","venue":null,"work_id":"f256b471-2c20-4227-be71-56a9b0147d11","year":2023},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.959859Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:50b50fdccc3f6b07d6a13b7b84fc117ff81e738de4fe9a2d763b525400f40930","observation_id":"c5ec2e8b-5fde-45a9-b6f7-e15118c557c2","resolution":{"observed_at":"2026-08-15T19:28:45.351163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:43.964462Z","title":"Lvcsr-based language iden- tification,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.964462Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:2225553a6beacdba423b91e0f65f4f311b69f7a0de2800ae6814aae78079dad7","observation_id":"f1b9bf22-3cc2-4a38-bd86-bc590111b06a","resolution":{"observed_at":"2026-08-15T19:28:43.964462Z","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":"2026-08-15T19:28:43.968397Z","title":"Experiments on cross-language acous- tic modeling","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.968397Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:9e5218613e8f2b4d39ced158778f88bfa03299800c874940f3a9390f617e4f26","observation_id":"bf82ba1f-3108-4487-8950-b6c92be4cef0","resolution":{"observed_at":"2026-08-15T19:28:43.968397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.08992","last_updated":"2023-07-03T10:01:47Z","snapshot_observed_at":"2026-08-16T16:23:34.788542Z","submitted_at":"2022-10-17T12:15:57Z","title":"Language-agnostic Code-Switching in Sequence-To-Sequence Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.08992","snapshot_observed_at":"2026-08-15T19:28:43.972090Z","title":"Language- agnostic code-switching in sequence-to-sequence speech recogni- tion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.972090Z"},"links":{"cited_paper":"/paper/2210.08992","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:719003312b4799f2c9ec6185e476edf63d332518fd348ea52e36fea8bc248331","observation_id":"86ea7d43-f9aa-456c-9037-763aa1dc7d40","resolution":{"observed_at":"2026-08-15T19:28:43.972090Z","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":"2026-08-15T19:28:45.168745Z","title":"Arzen: A speech corpus for code-switched egyptian arabic-english,","venue":null,"work_id":"f3282846-05eb-4321-95f5-eb8dfa3dff95","year":2020},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.978066Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:46c118e36013d8e11df176368b078b128e336a0927806d641ff8ed7a8cd54013","observation_id":"1c84c5bc-f9e7-43e5-8be2-21b8fc2afb92","resolution":{"observed_at":"2026-08-15T19:28:45.230581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.156816Z","title":"End-to-end speech translation for code switched speech,","venue":null,"work_id":"d50107c4-a5c6-448a-90ba-9e8e4fc0e287","year":2022},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.981073Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:f2e84d6757a3cdf598cf3c2f0dd6771472e089ed04662d8a3f906509545b3e0c","observation_id":"6e07ff12-a1ac-413e-90e7-1ffd5d500043","resolution":{"observed_at":"2026-08-15T19:28:45.160762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.144989Z","title":"Seame: a mandarin-english code- switching speech corpus in south-east asia","venue":null,"work_id":"d069fe62-a057-4050-83b5-88326b7b83c0","year":2010},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.983818Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:926a0725ca8e79c8f16d603fb22021f99f2c5e3176956cbfe423489dbf30e6ce","observation_id":"aa528a4b-12ce-46e7-af97-787447e6f6f1","resolution":{"observed_at":"2026-08-15T19:28:45.149582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.037755Z","title":"Leveraging data collec- tion and unsupervised learning for code-switched tunisian arabic automatic speech recognition,","venue":null,"work_id":"e4714c76-8742-463b-90bf-5243c866a5f4","year":2024},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:43.986948Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:7f8d1fd378141febefcaf11ba48c0155365dc1d3f9f8345c8f429be387b568d4","observation_id":"d3cd27a0-c9dd-4217-8a63-26216d407df0","resolution":{"observed_at":"2026-08-15T19:28:45.059833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.026263Z","title":"ASCEND: A spontaneous Chinese-English dataset for code- switching in multi-turn conversation,","venue":null,"work_id":"fe68b064-8d4e-44c9-bdf9-f057212b0457","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.052716Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:3de38ea716bea9b255f44dcedcaebc9c08e69b262b32e553652213364533b907","observation_id":"09f182a6-c8f8-4ab2-8e05-e94f350bfcf1","resolution":{"observed_at":"2026-08-15T19:28:45.029948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:45.014117Z","title":"Talcs: An open-source mandarin-english code-switching corpus and a speech recognition baseline","venue":null,"work_id":"9c532261-8791-477a-8b6c-9d0f2e382487","year":null},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.149282Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:a6e9bcceb21db8a4fd09b8fe1d36db9e1849b784c18d5e0b015cd10096343bc0","observation_id":"d4fcc40c-33ca-4774-8c4c-2c1b1ebc7028","resolution":{"observed_at":"2026-08-15T19:28:45.018508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09512","last_updated":"2025-01-21T10:39:27Z","snapshot_observed_at":"2026-08-19T15:57:52.387215Z","submitted_at":"2025-01-16T12:57:33Z","title":"PIER: A Novel Metric for Evaluating What Matters in Code-Switching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09512","snapshot_observed_at":"2026-08-15T19:28:44.207119Z","title":"Pier: A novel metric for evaluating what matters in code-switching,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.207119Z"},"links":{"cited_paper":"/paper/2501.09512","citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:e5eedc0e38c3947d6704280e085c88f0afb46e209c34afc78fea70b1e481b641","observation_id":"fd2a9c69-4084-49b4-b153-034f7168c3ea","resolution":{"observed_at":"2026-08-15T19:28:44.207119Z","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":"2026-08-15T19:28:44.906668Z","title":"Ted-lium 3: Twice as much data and corpus repartition for experiments on speaker adaptation,","venue":null,"work_id":"f660fe17-3c8d-4ad5-9a0f-204be31ee571","year":2018},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.212379Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:cc015737c546cbf0acdc796e4adafab46569e8796d9158986dbbba2866c25abd","observation_id":"430c6860-3231-4a31-a6c7-9316dabc0a1e","resolution":{"observed_at":"2026-08-15T19:28:44.932216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.865587Z","title":"Mls: A large-scale multilingual dataset for speech research,","venue":null,"work_id":"3110a0e7-38b8-4ee0-b3f0-c1dd63ab4c4e","year":2020},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.216496Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:a7d213b412c0703839af5257bf44dc7dda8babe96524afbda8a112c3d99ae2d7","observation_id":"769d5bf9-f891-4643-9701-af3b309e9089","resolution":{"observed_at":"2026-08-15T19:28:44.869096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.854026Z","title":"The mgb-2 challenge: Arabic multi-dialect broadcast media recognition,","venue":null,"work_id":"96468fa6-6724-4dd3-bf1c-903502ad745c","year":2016},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.220614Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:7638ed6bab4cb7f726f3cdedf1e0d2d86ded9d93614de404f4b400140b953e54","observation_id":"00f0b73e-234d-40a8-99b8-66e0d7a02ee9","resolution":{"observed_at":"2026-08-15T19:28:44.858605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.744468Z","title":"Multilingual speech recognition for turkic languages,","venue":null,"work_id":"5b1e5439-f021-4710-83c4-08931aab4420","year":2023},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.224507Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:e8aa0860ada3d41ce5c4ec22e346d13df023966240b10580bcd783f8f600ea6b","observation_id":"3249b781-8d7d-4e15-b078-6815244fef8f","resolution":{"observed_at":"2026-08-15T19:28:44.834564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.671711Z","title":"Aishell-1: An open- source mandarin speech corpus and a speech recognition base- line,","venue":null,"work_id":"df8131a3-3099-4f07-8fa9-42c21661c79b","year":2017},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.229032Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:0c2cfa0d9f958d18a3a6acf7f5097f58133c1cf46b9689fcb334928dfd961ba2","observation_id":"670cade1-326d-4b92-8b54-8d986c3c307b","resolution":{"observed_at":"2026-08-15T19:28:44.675398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.659676Z","title":"Common voice: A massively- multilingual speech corpus,","venue":null,"work_id":"12431da9-e85d-4e43-9842-5b1ba033fe05","year":2020},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.232681Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:78445971d6ed7f032cf55eb423e066692dd952603818e22cc947e3e983ffb63e","observation_id":"314b773e-53eb-4d1b-8086-d61fce78bbfa","resolution":{"observed_at":"2026-08-15T19:28:44.663990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.625404Z","title":"Decm: Evaluating bilin- gual asr performance on a code-switching/mixing benchmark,","venue":null,"work_id":"b1e24652-de22-42ac-8e6b-227208d4b269","year":2024},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.236230Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:cb2fa53536aa95d943ac24910f6d2da6a3598a88f0dddca47c262e702eef0edd","observation_id":"3e8243ba-65b3-4ecd-b4e5-ba2cafabc1dc","resolution":{"observed_at":"2026-08-15T19:28:44.652263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T19:28:44.466464Z","title":"Dark experience for general continual learning: a strong, sim- ple baseline,","venue":null,"work_id":"96cd4e74-2618-4ea4-8438-80af592ca6d6","year":2020},"citing_paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:44.239884Z"},"links":{"citing_paper":"/paper/2506.16574"},"observation_digest":"sha256:0fb8b6aceb767cdeb1af237e49d28f2e4390a42264354638f73a5729a1367e6f","observation_id":"df4bf1f7-62c9-4e15-bb4a-884b4e7ee884","resolution":{"observed_at":"2026-08-15T19:28:44.531616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.16574","last_updated":"2025-06-19T19:59:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T15:58:04.967161Z","submitted_at":"2025-06-19T19:59:24Z","title":"Weight Factorization and Centralization for Continual Learning in Speech Recognition"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":33},"total_outbound_references":51},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2506.16574."}