{"as_of":"2026-08-08T09:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:637fab2ec706ca3ab60e81392bf0e5456faf897dc795151ead1f5eca79a5104e","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:49:24.664062Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:49:21.166909Z","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":"2026-08-07T11:49:24.836130Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"cited_work":{"arxiv_id":"2506.01458","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.01458","snapshot_observed_at":"2026-08-07T11:49:24.836130Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","venue":"cs.CL","work_id":"0e6c2b47-8648-45c8-b5d2-c5f73b2f9b24","year":2025},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.166909Z"},"links":{"cited_paper":"/paper/2506.01458","citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:5aa5cb22d5147de471d163d8c51f7601dca23a9dd283ca1e8d006c048b763395","observation_id":"b2cb1467-d847-48e1-a8a9-6f0abf7f6aac","resolution":{"observed_at":"2026-08-07T11:49:24.965664Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.01458/citation-record","integrity":"/paper/2506.01458/integrity","json":"/paper/2506.01458/citation-record.json","paper":"/paper/2506.01458"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:49:30.820170Z","title":null,"venue":null,"work_id":"68af357d-abd4-47f2-970f-c3adca8ed163","year":2025},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.031589Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:96b0b8d2c5fdbf5dd653b5b1e6338606dde2608b79371277f366595632778bb4","observation_id":"7a4d520f-72a6-4b2b-97a2-5cd5e6c31001","resolution":{"observed_at":"2026-08-07T11:49:30.878439Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"cited_work":{"arxiv_id":"2506.01458","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.01458","snapshot_observed_at":"2026-08-07T11:49:24.836130Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","venue":"cs.CL","work_id":"0e6c2b47-8648-45c8-b5d2-c5f73b2f9b24","year":2025},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.166909Z"},"links":{"cited_paper":"/paper/2506.01458","citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:5aa5cb22d5147de471d163d8c51f7601dca23a9dd283ca1e8d006c048b763395","observation_id":"b2cb1467-d847-48e1-a8a9-6f0abf7f6aac","resolution":{"observed_at":"2026-08-07T11:49:24.965664Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:30.573874Z","title":"This dataset combines various multilingual speech corpora and covers 141 of the 153 target languages","venue":null,"work_id":"30923543-2ea9-4dde-8d41-6e92ecb6979e","year":1941},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.308836Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:dc5f86ad0201cd4468e7831bb9beaa5e7a9bd67ae852c3936fcb0ccf6d3d4c09","observation_id":"2ee16bcd-4ebf-4b32-872e-a268d9c90874","resolution":{"observed_at":"2026-08-07T11:49:30.650718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.15550990","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:49:30.408563Z","title":"hierarchy","venue":null,"work_id":"f35a2beb-824b-4269-922a-299ef5cf36f4","year":null},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.457501Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:6cffd4c448d8fbb57734a6f12e414d61a56618a5842d153f928316b0a0e1ba7c","observation_id":"474a6aeb-65c2-48f4-8995-b74b68da9bb3","resolution":{"observed_at":"2026-08-07T11:49:30.493767Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:30.293470Z","title":null,"venue":null,"work_id":"87a884d4-d27a-42a8-89af-5d5aeacd0eb0","year":null},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.584493Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:814d2c3a0039cf76c4dfe4c0b032cd584348c26e71f75ee23e0639161fb9a896","observation_id":"bbe0446c-5d4d-4d45-b19f-ac60080c32ca","resolution":{"observed_at":"2026-08-07T11:49:30.342859Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:30.121526Z","title":null,"venue":null,"work_id":"db12857f-5c4f-47e6-a15e-638347914082","year":null},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.671196Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:612fd72278c059c78702c6753df0a47d5e98a7850a940a71b79ec139ab1bbdf7","observation_id":"69f8f336-7b9a-4707-8440-348fe06f3643","resolution":{"observed_at":"2026-08-07T11:49:30.194431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:29.963101Z","title":"SUPERB: speech processing universal performance benchmark,","venue":null,"work_id":"a0e9f7eb-7a44-4371-b15c-de6e886bcc34","year":2021},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.767650Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:89afbf728e71f8dafc6ad4e32c5628a95a1fcbc5aa7550e865244d5f552c1ae3","observation_id":"f9400ba1-b4c9-4804-8fac-58c53ce60475","resolution":{"observed_at":"2026-08-07T11:49:30.028954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:29.660647Z","title":"Seamless: Multilingual expressive and streaming speech translation,","venue":null,"work_id":"60d5f944-0c2b-4170-a644-61418fccdca3","year":2023},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:21.902620Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:7ab3bfdf4c50bb94091ea0bc7ae732a944e50180afb36fb64a28a70e12ad1b24","observation_id":"f9c7315e-d2d9-423e-a3ef-8bc2f2ff4319","resolution":{"observed_at":"2026-08-07T11:49:29.812930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:29.481051Z","title":"Multi-resolution multi-head attention in deep speaker embedding,","venue":null,"work_id":"e69f9591-9eb4-4ad6-afed-b17c71e035f4","year":2020},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.050496Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:8de1c4f6f40bccaa4ba7f212c9b8eb6352f1c40e29d8cbdd76c7e162141e467b","observation_id":"95c24d7b-7ac1-45ff-9961-0df48ac5952f","resolution":{"observed_at":"2026-08-07T11:49:29.540844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:29.156160Z","title":"V oxLingua107: a dataset for spoken lan- guage recognition,","venue":null,"work_id":"ea04cca1-f4d5-4e10-b227-482921862ba2","year":2021},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.191733Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:615a94d5bbe66faae81a41b071127dff33dbdf7f9542a7c76e6d0bb15e631f5e","observation_id":"8705feac-87c5-4c4a-bdb5-a16f8092e177","resolution":{"observed_at":"2026-08-07T11:49:29.311785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:28.864595Z","title":"A study on data augmentation of reverberant speech for robust speech recognition,","venue":null,"work_id":"9006c213-7fa1-4b94-ac93-6318a46df490","year":2017},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.269324Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:369812d03698dc387d8e324e5511e85641ab593c5c2abb5392683f42e4066046","observation_id":"2609b04f-fc89-4d98-80f8-1fac220cd5f2","resolution":{"observed_at":"2026-08-07T11:49:28.992074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:28.587047Z","title":"Language identification using phone- based acoustic likelihoods,","venue":null,"work_id":"93640672-7115-45a8-a4e0-530f7e8938d1","year":1994},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.478395Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:e3904f4234ef368020cef01ae435b0106c464c4daa5760584cb90738fb1aef3c","observation_id":"25c88bf8-de74-4f32-9236-12d365b412af","resolution":{"observed_at":"2026-08-07T11:49:28.704376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:28.312907Z","title":"Language identification using phoneme recog- nition and phonotactic language modeling,","venue":null,"work_id":"6c6db3d1-892e-47a1-a1dc-982c67cfb9e5","year":1995},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.604922Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:8a71430b4f17669eecc5f7d30be065ba93fbae6ca1fa698651b1c69bdaecea97","observation_id":"3d3745ab-bbc6-48c0-8855-4d399a1bfcdc","resolution":{"observed_at":"2026-08-07T11:49:28.442803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:27.959446Z","title":"Improving language identification of accented speech,","venue":null,"work_id":"a710a0d4-ade9-4780-9401-66feeb79d8c8","year":2022},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.784681Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:498d05366729bf1046e61f55d2cd8e3dfa3a8b491a3dbe95c7418d01e6204e26","observation_id":"a790ebf8-566d-47aa-9984-e10d3fbde980","resolution":{"observed_at":"2026-08-07T11:49:28.066366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:27.682985Z","title":"Scaling a simple approach to zero-shot speech recognition,","venue":null,"work_id":"eafcbc2e-b168-48cc-a787-22d0007f7a8e","year":2024},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:22.904860Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:60e623bdbb90fcbc73b9e420f709f71145874e9039443d47e511e5ce5583e86d","observation_id":"15a6f7a1-d75a-4557-9a97-8576212a065e","resolution":{"observed_at":"2026-08-07T11:49:27.803459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:27.541803Z","title":"Out-of-the-box universal Romanization tool uroman,","venue":null,"work_id":"a8f3835a-f39b-4902-b625-9e5c2cbce24b","year":2018},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.038301Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:094670f7dadcacbd619307eccf13c721cffd43b38cd2cf938b2a4e23ce690155","observation_id":"0dfbb53f-fec2-4ec1-95ed-657695391ac1","resolution":{"observed_at":"2026-08-07T11:49:27.600423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:27.413537Z","title":"GlotLID: Language identification for low-resource languages,","venue":null,"work_id":"e47280e5-c218-466e-8094-badd469e0b03","year":2023},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.229285Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:f14237f9903996e039ec5d52db5cb4f97b884a224f095d6a083f779dbe8e948b","observation_id":"f90940b3-7034-42fd-982a-ebe1046369ca","resolution":{"observed_at":"2026-08-07T11:49:27.470196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:27.296599Z","title":"Subword regularization: Improving neural network translation models with multiple subword candidates,","venue":null,"work_id":"377b7604-d51a-4cb2-b110-df1f555d2c77","year":2018},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.361654Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:8461c853411e0f3e4573e87189289df9eef0287b8b904aa92a8fe5db8b21ba80","observation_id":"8d297d47-e997-4e09-b87f-fe1ef4badffb","resolution":{"observed_at":"2026-08-07T11:49:27.345537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:27.154552Z","title":"Leveraging the multilingual Indone- sian ethnic languages dataset in self-supervised models for low- resource ASR task,","venue":null,"work_id":"35e2794b-bbc2-4a4b-8987-28c619206711","year":2023},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.488463Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:e346a9b54757a35fccf4cb426f6201a658098f8940ba16f5929ef83625ea5d8b","observation_id":"63d9bfa4-89cd-4d53-a330-005985e39b43","resolution":{"observed_at":"2026-08-07T11:49:27.213631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:26.963515Z","title":"Thai dialect corpus and transfer-based curriculum learning investigation for dialect automatic speech recognition,","venue":null,"work_id":"1e37b8ae-94dd-439c-9e1b-fa0b119faff5","year":2023},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.597940Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:851a73fcdd0cdf68e6e650cea3c8df683a32b4e802655dacac1aa098d4259c6a","observation_id":"35be5e7f-1989-4574-bf09-5ffd5b0bdf78","resolution":{"observed_at":"2026-08-07T11:49:27.045368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:26.830515Z","title":"Sim- inchik: A speech corpus for preservation of Southern Quechua,","venue":null,"work_id":"21e8e9fd-11fc-451f-8c73-29133e1d6913","year":2018},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.722932Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:1e31b6ee0183dcc13653af72c14974b3d8dd4c964489b6658fe2af3ac63462e7","observation_id":"2363b6a5-ea45-4dba-aa76-5baf943b8ede","resolution":{"observed_at":"2026-08-07T11:49:26.873852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:26.643198Z","title":"Building large mono- lingual dictionaries at the Leipzig corpora collection: From 100 to 200 languages,","venue":null,"work_id":"15c94f40-b7e0-4b4b-9518-82e6b8e0e78e","year":2012},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:23.874408Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:92ce8c2a0015134fe5f08da7cc3351fee75577a63a718c10b8646bff4b26c885","observation_id":"af3d033a-f58c-4fd4-9c3c-615e06029153","resolution":{"observed_at":"2026-08-07T11:49:26.767337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:26.445489Z","title":"Leveraging end-to-end ASR for endangered language documentation: An empirical study on Yol´oxochitl Mixtec,","venue":null,"work_id":"d8ffc33b-0530-4eec-b43b-8a899e919df4","year":2021},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:24.015662Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:92416bbeab3ba776825dd4385b62dc9ce17575995a539c5e827490e15dfce769","observation_id":"147d3d7b-5fc8-45db-927f-d38e0cea0b81","resolution":{"observed_at":"2026-08-07T11:49:26.570624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:26.170103Z","title":"Crowd-sourced speech corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali,","venue":null,"work_id":"2369a128-8baf-4f4a-b2bc-7896335a25a1","year":2018},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:24.093839Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:08cc99636ec6bad56ee1422dca1dda406d8e5209e0b773fb388caba11a514604","observation_id":"e4d6c384-0dc2-4128-836a-594e9a3c2e2c","resolution":{"observed_at":"2026-08-07T11:49:26.312079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:25.999337Z","title":"Combining spectral and self-supervised features for low resource speech recognition and translation,","venue":null,"work_id":"89440bc1-b218-4760-bc96-999ff86af757","year":2022},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:24.209274Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:21bffbf260e945f3a193ff05661b3b2498c923cc35400c26d952c827ef77228d","observation_id":"e79af21f-f35d-4cac-8427-9a4b1fe6d024","resolution":{"observed_at":"2026-08-07T11:49:26.059253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:25.755826Z","title":"Scaling speech technology to 1,000+ languages,","venue":null,"work_id":"8a737ea0-5f16-44c2-b259-18c3c11e5d72","year":2023},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:24.361641Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:94202f5e1914efee7ec01f6c64c4829982826766b11f878a7eb29747f40e9011","observation_id":"aca36f3c-c618-4675-9b65-221426767f37","resolution":{"observed_at":"2026-08-07T11:49:25.887686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:25.432411Z","title":"Espnet: End-to-end speech processing toolkit,","venue":null,"work_id":"fd394ef7-c039-49bd-8220-56f364277071","year":2018},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:24.497495Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:116da9fd4d18999e86bb8a503b9e153ecd383d7890bd07fa67d9ecd18db86fea","observation_id":"3b96afd8-3314-46ba-8a07-314b0cfcad57","resolution":{"observed_at":"2026-08-07T11:49:25.583731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:49:25.161491Z","title":"Dynabench: Rethinking benchmarking in NLP,","venue":null,"work_id":"978c7c5c-921a-4edd-b3c0-f9093da6981a","year":2021},"citing_paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:24.664062Z"},"links":{"citing_paper":"/paper/2506.01458"},"observation_digest":"sha256:96cd12dd06bce96e0a20afcd8ccd3c95e0cf53f13af30339bda278ec1f5f1728","observation_id":"0f9b6853-c1be-4b72-8756-c881aea40997","resolution":{"observed_at":"2026-08-07T11:49:25.314736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.01458","last_updated":"2025-06-02T09:16:09Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:38:18.546104Z","submitted_at":"2025-06-02T09:16:09Z","title":"TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":23},"total_outbound_references":28},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2506.01458."}