{"as_of":"2026-08-21T00:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07138c5a83322b714623fe68cdfb3a2679983386c4ab5ad9903c204f9fa18eea","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:25:36.729798Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.16644/citation-record","integrity":"/paper/2506.16644/integrity","json":"/paper/2506.16644/citation-record.json","paper":"/paper/2506.16644"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:25:37.002130Z","title":"https://cohere.ai","venue":null,"work_id":"481d08eb-018b-4584-a0bd-57a17ad9d2e7","year":2023},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.656842Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:4dee91d333f76ee25e28ccf75dd546873078c49f0c590558409f51d181f76688","observation_id":"c24786c4-a01f-4bd0-a2c1-fb1af79b8f0e","resolution":{"observed_at":"2026-08-15T19:25:37.007127Z","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":"2026-08-15T19:25:36.982673Z","title":"https://github.com/mozilla/readability","venue":null,"work_id":"7fcaeb92-add4-4d7d-af38-83532a7decd8","year":2023},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.663741Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:230f1b6d32a619f891e3efab22b5622f233a26bab7d448e093cf1604e6f9d824","observation_id":"223552c2-0cac-48f4-8d52-c5f740bc2696","resolution":{"observed_at":"2026-08-15T19:25:36.988250Z","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":"2026-08-15T19:25:36.669011Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.669011Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:577ede0d1ce68f5dde764c63caa77730a10955af265b9ca0e37b40ef0c80ff04","observation_id":"162f5906-bedf-4457-81d0-4556a10d6652","resolution":{"observed_at":"2026-08-15T19:25:36.669011Z","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":"2026-08-15T19:25:36.954512Z","title":"Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell","venue":null,"work_id":"8c5a9932-7be7-48e2-b0e1-25eb30109ce7","year":2021},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.674132Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:76406c60417d8d5f71405ed86db06b64c759c50c758e6169645d67c6f53b9add","observation_id":"5eb7fb13-0b00-44d2-b5f7-fdcdda62a324","resolution":{"observed_at":"2026-08-15T19:25:36.959837Z","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":"2026-08-15T19:25:36.938500Z","title":"Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al","venue":null,"work_id":"adfc8cf6-df3f-43d5-89b5-365041255271","year":2020},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.679663Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:0258badf30f3c2a0057f2e51b74f81b8010e8aea56a5e5e57b202ac524e19a0d","observation_id":"025df43f-98a8-4e26-82d9-073e8a7d12a4","resolution":{"observed_at":"2026-08-15T19:25:36.943836Z","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":"2306.00458","last_updated":"2023-06-07T12:55:49Z","snapshot_observed_at":"2026-08-16T15:27:37.410820Z","submitted_at":"2023-06-01T09:01:48Z","title":"Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity","version":2},"cited_work":{"arxiv_id":"2306.00458","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.00458","snapshot_observed_at":"2026-08-15T19:25:36.851248Z","title":"Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity","venue":"cs.CL","work_id":"b1897442-483e-4bf0-812c-30818d26607c","year":2023},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.685328Z"},"links":{"cited_paper":"/paper/2306.00458","citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:675e65e251847cdcc85e848f0634e4fd38b016bb58bb16016423d3374340a899","observation_id":"419ba0d9-50b5-4b1b-9e37-723d4c3dd818","resolution":{"observed_at":"2026-08-15T19:25:36.858465Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:25:36.922862Z","title":null,"venue":null,"work_id":"ccce3f5a-0d89-4463-af46-16a3a0d65d8f","year":2010},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.691223Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:f44e62ee32f3984447be2156a50b9548cc2c72795f927249ff61354ac93ed051","observation_id":"4f0b65a6-b931-4a9b-892d-9cda6c40059f","resolution":{"observed_at":"2026-08-15T19:25:36.927828Z","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":"2026-08-15T19:25:36.906300Z","title":null,"venue":null,"work_id":"1e29b3be-e51f-4ca9-84bf-1f0e1bb35eac","year":2013},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.696875Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:0900507045c12bc4635440d2b3402bb64727894e647f5fb8ff60ed1e03a99b37","observation_id":"e0df856d-39fd-4589-b2a9-0fcc703a0b83","resolution":{"observed_at":"2026-08-15T19:25:36.911219Z","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":{"arxiv_id":"2309.09400","last_updated":"2023-09-17T23:49:10Z","snapshot_observed_at":"2026-08-19T23:22:07.740848Z","submitted_at":"2023-09-17T23:49:10Z","title":"CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.09400","snapshot_observed_at":"2026-08-15T19:25:36.702359Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.702359Z"},"links":{"cited_paper":"/paper/2309.09400","citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:1fe76040ba67d8e1b0a6e18dce4b94e64fab80e50aa0e11e12967baeacd8c040","observation_id":"abadba50-c7a0-4135-aae2-4cb28c47fe71","resolution":{"observed_at":"2026-08-15T19:25:36.702359Z","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":"2026-08-15T19:25:36.889143Z","title":null,"venue":null,"work_id":"bde365c4-fbfe-46cf-80db-6ad5e8b3b5df","year":2014},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.707430Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:0acaa1d5664cb32e48e29b71a3233a4e6d1995e364b1e73e265675b0ae9068bf","observation_id":"3e271d2d-448c-4998-9db5-b810cf7028d7","resolution":{"observed_at":"2026-08-15T19:25:36.894323Z","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":"2026-08-15T19:25:36.870921Z","title":null,"venue":null,"work_id":"0dd68bda-5e91-49aa-9de9-2672a9c30111","year":2019},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.712216Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:62fbace1713f3342b100df643243d02078754a9292fe7d64c3990ccb4f891829","observation_id":"081d15b8-431e-4ceb-8d4e-8444ae425bbb","resolution":{"observed_at":"2026-08-15T19:25:36.877199Z","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":{"arxiv_id":"2211.05100","last_updated":"2023-06-27T09:57:58Z","snapshot_observed_at":"2026-08-04T18:56:03.233715Z","submitted_at":"2022-11-09T18:48:09Z","title":"BLOOM: A 176B-Parameter Open-Access Multilingual Language Model","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05100","snapshot_observed_at":"2026-08-15T19:25:36.717655Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.717655Z"},"links":{"cited_paper":"/paper/2211.05100","citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:61c33df2dbac540f0aa1c49cfb0cf93b8aabbc0f1b6cccf85b8acce4be897050","observation_id":"3cdd6a74-2a0b-4b98-9c71-cee021af9571","resolution":{"observed_at":"2026-08-15T19:25:36.717655Z","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":"10.2478/ausi-2023-0008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:25:36.767606Z","title":null,"venue":null,"work_id":"5c3b6ea1-4cdd-49de-9889-af472cfed23c","year":2023},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.724667Z"},"links":{"citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:088839efe5c35c5fbb18cdd26ba6fcb5ff223dc5a61ce1cfffc6b44520a895b8","observation_id":"9f758d21-4e96-49b5-a734-322535595029","resolution":{"observed_at":"2026-08-15T19:25:36.774309Z","resolver_source":"doi","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":{"arxiv_id":"2402.05672","last_updated":"2024-02-08T13:47:50Z","snapshot_observed_at":"2026-08-12T15:58:37.148545Z","submitted_at":"2024-02-08T13:47:50Z","title":"Multilingual E5 Text Embeddings: A Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05672","snapshot_observed_at":"2026-08-15T19:25:36.729798Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T19:25:36.729798Z"},"links":{"cited_paper":"/paper/2402.05672","citing_paper":"/paper/2506.16644"},"observation_digest":"sha256:03e948fbb7752c9512b9331feeec6f450304b67d28b16bc965a2fe8cb6c5a983","observation_id":"0d10068f-66ec-41e1-bbc7-292b7a4f65eb","resolution":{"observed_at":"2026-08-15T19:25:36.729798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.16644","last_updated":"2025-06-19T23:06:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T04:42:58.738043Z","submitted_at":"2025-06-19T23:06:12Z","title":"Semantic Outlier Removal with Embedding Models and LLMs"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":2,"verified_fuzzy":4},"total_outbound_references":14},"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 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.16644."}