{"as_of":"2026-08-09T08:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd9cd4a51dc6b3f6742ba83349eacdded97e25e483c4edadc8880d7b8609819c","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:41:43.551049Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2509.02332/citation-record","integrity":"/paper/2509.02332/integrity","json":"/paper/2509.02332/citation-record.json","paper":"/paper/2509.02332"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:41:44.086158Z","title":"and Elmaghraby, A","venue":null,"work_id":"17e650eb-68ed-4c3d-b21a-f838519a0b61","year":2018},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.407291Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:e519500df1a04192b1ba73c42c27530df6effa22c24af05937b58fcea64012ed","observation_id":"931dd7c2-b12a-4277-bb4c-9191b23ba8b3","resolution":{"observed_at":"2026-08-05T11:41:44.089962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.076246Z","title":null,"venue":null,"work_id":"4d5bb639-37cf-49e1-a129-74233970d2ae","year":2024},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.411288Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:f625999523e5f2ec0df1663f3db0eb834a17bfd5a9ee6916a41c65dcb9fbad9e","observation_id":"0d902acb-fecf-441c-8f3c-7d58d7d3f1a1","resolution":{"observed_at":"2026-08-05T11:41:44.079721Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.067040Z","title":"A., and Reuter, C","venue":null,"work_id":"440f4aeb-ebbe-4cdc-bd24-daaa400408da","year":2022},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.415479Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:efceae070c40cea6d7e5d4ca7b4de43d9ce65ecd6fed4cadddb304cf6c0e7913","observation_id":"68b0370c-b061-4ce9-85b8-489213c54e9b","resolution":{"observed_at":"2026-08-05T11:41:44.069866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.058264Z","title":null,"venue":null,"work_id":"1e39c9ae-7661-4af1-9efd-71135aa4c8a8","year":2009},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.418530Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:9278b476a12edc183ce295a0e391f19713a4fd2cdb52b14bb41257f9358b2954","observation_id":"c61c3ef1-8641-4a64-af57-4df0f8239991","resolution":{"observed_at":"2026-08-05T11:41:44.061483Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.049983Z","title":null,"venue":null,"work_id":"2c44c6fd-d0bf-4e87-bbec-a1aa77251c89","year":2006},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.422446Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:e5e23588758c9f4d955c0d5b86557ba8c45a45885e6be13458338ee92e3dce82","observation_id":"f117dbf6-15e1-4f6b-bbc9-5638a6d39af6","resolution":{"observed_at":"2026-08-05T11:41:44.052507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.041762Z","title":"M., Ng, A","venue":null,"work_id":"cfda83d6-a74d-452d-9725-18ce8d35914a","year":2003},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.425186Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:09c497953d9a8afe12d757b9211b4db4c824e616254b0488eabdc381a3bb0f9f","observation_id":"c25cddf3-5044-4478-913d-1f4155d15fc7","resolution":{"observed_at":"2026-08-05T11:41:44.044320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06349","last_updated":"2016-05-12T20:51:23Z","snapshot_observed_at":"2026-08-05T16:42:28.278134Z","submitted_at":"2015-11-19T20:38:45Z","title":"Generating Sentences from a Continuous Space","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06349","snapshot_observed_at":"2026-08-05T11:41:43.428165Z","title":"R., Vilnis, L., Vinyals, O., Dai, A","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.428165Z"},"links":{"cited_paper":"/paper/1511.06349","citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:46fdb21035e1f7459e3667d5a595efa443f47e73727c1ae4a6ccccaf73a8f24d","observation_id":"492daed5-12f1-4be4-be75-8ab23bcb61b0","resolution":{"observed_at":"2026-08-05T11:41:43.428165Z","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":"2026-08-05T11:41:44.032940Z","title":"V ., Bowyer, K","venue":null,"work_id":"4f17f77b-26b5-461e-8c25-1e9310bf1275","year":2002},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.431729Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:df923bbfa36e63e79d544ce785f95145463254c69b9e4176e71efd8a72769de2","observation_id":"57612a1c-487b-4344-9a2c-7d829943f7cf","resolution":{"observed_at":"2026-08-05T11:41:44.035924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.023738Z","title":null,"venue":null,"work_id":"5b784c9d-5869-4bab-b8ec-e8eecf39acfe","year":2011},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.434648Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:ddc3522283f1af0ccfee35f58a9919e10f87b4022c7de458c7a3f96f1ee30e9a","observation_id":"21994c8c-bda7-4a00-a87d-40b5c86382be","resolution":{"observed_at":"2026-08-05T11:41:44.027004Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.015041Z","title":null,"venue":null,"work_id":"8b960fb7-a228-43d3-bf0b-4f0b20ed6850","year":2023},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.437904Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:d80a095284b3053927ae105a58324b8886e4027305051da42260f0934e6abf72","observation_id":"4d279cfb-a82c-4385-9ea8-0f8269063134","resolution":{"observed_at":"2026-08-05T11:41:44.017896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:44.005181Z","title":"C., and Cook, D","venue":null,"work_id":"75fb0717-d4db-460c-94bc-872728a6ef76","year":2015},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.441645Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:6fa780f3928971d5e95b094aa3a67cfe1c16c76cd953cc806870e2b55f493dce","observation_id":"d2ba9abd-8743-4887-bb18-51022e3e02b0","resolution":{"observed_at":"2026-08-05T11:41:44.008336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.995474Z","title":null,"venue":null,"work_id":"a15de4d4-cfd7-4403-a501-73e2da64415d","year":2024},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.444376Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:b74ec22e61b448dcdf8f3c89fe075b83cb064e9bb82a5a2dc53348abd2dba9e9","observation_id":"5959da12-43a0-42e6-b3eb-d1ec40e035b6","resolution":{"observed_at":"2026-08-05T11:41:43.998796Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01702","last_updated":"2017-02-27T03:03:38Z","snapshot_observed_at":"2026-08-02T08:57:24.395677Z","submitted_at":"2016-11-05T21:25:07Z","title":"TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01702","snapshot_observed_at":"2026-08-05T11:41:43.447274Z","title":"B., Wang, C., Gao, J., and Paisley, J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.447274Z"},"links":{"cited_paper":"/paper/1611.01702","citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:af08408e3a3ef273f63dad6d07ed1a4702dc6088eb147523348033d5b3429e15","observation_id":"4459d6de-203b-4906-b7e1-f36f97c6eed2","resolution":{"observed_at":"2026-08-05T11:41:43.447274Z","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":"2026-08-05T11:41:43.986592Z","title":"and Bacao, F","venue":null,"work_id":"fd2e724d-0c4b-4e43-b0b8-12e7515b37d1","year":2019},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.451606Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:a3aac277c53827d63640e7467411076e2ff5344401ceb28609b0b9875750bfd7","observation_id":"2c16e6ac-493d-4b04-b81c-4f58b88c2c55","resolution":{"observed_at":"2026-08-05T11:41:43.989978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.978047Z","title":null,"venue":null,"work_id":"24dde891-79bb-453f-a50a-1e7fa4ad66ef","year":2007},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.454388Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:faeedc2dea6a060ec7983b58b4f22fd353ad2395a89857006dd879744189e4c6","observation_id":"9c420dae-db73-41c9-84ae-7194868e02b3","resolution":{"observed_at":"2026-08-05T11:41:43.980694Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.969364Z","title":null,"venue":null,"work_id":"51ceeea0-fd14-40a2-b121-f15a9a7c469b","year":2001},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.457427Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:32b41846e87f0f59cba501f6b85a6aa2c02340e801f849578d6daaf961640c78","observation_id":"603d8819-6785-4418-a915-0afac2f21f88","resolution":{"observed_at":"2026-08-05T11:41:43.971909Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.959840Z","title":"E., Chang, K","venue":null,"work_id":"21248355-b9c6-47bd-895e-561ff941597d","year":2008},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.460903Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:d37c40ead4ea8d28f86f803e3ff9ae7d93f6bfad51a745b91d652cc9b4ead35d","observation_id":"4ee8aeb1-d815-4ec9-8d42-67b67b14947d","resolution":{"observed_at":"2026-08-05T11:41:43.963223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.950302Z","title":null,"venue":null,"work_id":"6c0f2871-47de-4681-96b1-e6f987b7189c","year":2017},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.464075Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:577b85285d3dc420aa4229cc55abeec5fcc25adc411a722fe000ec106e7111f3","observation_id":"80d33497-ef19-4844-9455-5096845c004a","resolution":{"observed_at":"2026-08-05T11:41:43.953446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.941109Z","title":"Y ., and Mao, B","venue":null,"work_id":"1fa65df5-e42c-4389-849f-b084218c1849","year":2005},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.466712Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:760d6333687f01450f766e859914ba58a14f4da98e8186bc8ac60654d55cc66f","observation_id":"8b6890a1-5d45-41e5-adf6-e4d277fbc71b","resolution":{"observed_at":"2026-08-05T11:41:43.943597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.932608Z","title":null,"venue":null,"work_id":"2e2fcb68-6abe-4407-9f64-cc2d5544a4af","year":1954},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.470164Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:c29526eacde70b051c882ed3b45cccf826b57a951fb80556ee4301b97feea4b8","observation_id":"5b82e5fe-7ed3-4e5f-b276-0b66d01d212e","resolution":{"observed_at":"2026-08-05T11:41:43.935298Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.923587Z","title":"A., and Li, S","venue":null,"work_id":"5c0f7104-ed78-4ae7-9ee7-d292611f709a","year":2008},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.473320Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:1fcd565f19ce3b4e501d050e6d73a1e40fca89e3ea6a057a11f39d4e6831aa05","observation_id":"b624d7a8-8881-414d-aa27-3cd1fe2efe25","resolution":{"observed_at":"2026-08-05T11:41:43.926250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.913857Z","title":"and Garcia, E","venue":null,"work_id":"746fe5ef-1a41-492f-85c9-409faf12f87c","year":2009},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.475765Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:ca3bf2c89a67300a5df533b1cc8bffd805c3747c3216b5b592fc70a5462b163b","observation_id":"4ae65bdf-9723-4ba4-870e-73022c5ff36c","resolution":{"observed_at":"2026-08-05T11:41:43.917321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.903384Z","title":null,"venue":null,"work_id":"30d8b6ba-3638-4381-8a78-ba7592b19bb6","year":1978},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.478363Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:cd7043676b60fd1962e9666dfb4d2f592e62d1ad1fbdacd94a99de6358dc7a84","observation_id":"49ea8e34-fee6-474e-abea-125f6f75c1cf","resolution":{"observed_at":"2026-08-05T11:41:43.906124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.04675","last_updated":"2023-02-22T10:39:43Z","snapshot_observed_at":"2026-07-06T14:03:05.338990Z","submitted_at":"2022-10-10T13:26:40Z","title":"A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing","version":2},"cited_work":{"arxiv_id":"2210.04675","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.04675","snapshot_observed_at":"2026-08-05T11:41:43.666722Z","title":"A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing","venue":"cs.CL","work_id":"ab087f0d-2e18-4fbf-be65-5c44f12e3cc5","year":2022},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.480745Z"},"links":{"cited_paper":"/paper/2210.04675","citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:ae958b8391f149fef90a368ed18184c3c329e36df5384133fc2857081e85be6f","observation_id":"7b4355b3-1d1b-46da-b331-793bfd28dd40","resolution":{"observed_at":"2026-08-05T11:41:43.669995Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.895215Z","title":null,"venue":null,"work_id":"b4ff42f3-061e-4734-bda0-e47f6a99d58a","year":1964},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.484338Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:558ac048fe3834b6212d653c5a9e5f94b7c4ec4945d56279d83e476ec0f313a9","observation_id":"fb8aae9d-ef3e-4cc8-b0c2-e2be9a3ae4e7","resolution":{"observed_at":"2026-08-05T11:41:43.897783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.884361Z","title":"and Schmidhuber, J","venue":null,"work_id":"d6001e4a-45c2-4f15-9625-46fa2225deb9","year":1997},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.487324Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:9a3c894daffa44d4b59b8f1e4979ba96d63749762accdd4a7532f373f7211c35","observation_id":"4bddbcf2-432b-420d-84b3-394d3b20eb8c","resolution":{"observed_at":"2026-08-05T11:41:43.888251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.874449Z","title":null,"venue":null,"work_id":"9291aa2c-1124-4c8f-89ba-36cd237dc4e5","year":2000},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.490341Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:303ecfb23ff3b22a96af338f4f61957aa6785563efd7ef2c03ab97915ae98574","observation_id":"3c7ce27a-d84f-43c0-9ed2-8cc63be8c0a4","resolution":{"observed_at":"2026-08-05T11:41:43.877543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.865770Z","title":"and Japkowicz, N","venue":null,"work_id":"85882ae2-2ebf-49a9-b7ee-1923a80d87bf","year":2004},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.493087Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:3ec4d280690c6847dc14831f7e6be33b0ca37571758d2c1d532bd073b3508085","observation_id":"c0eccceb-73d4-4bf2-8248-dfc1f9763214","resolution":{"observed_at":"2026-08-05T11:41:43.868464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.855672Z","title":null,"venue":null,"work_id":"1fb11acf-5320-4d5e-8a35-82eb2a82770d","year":2002},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.495579Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:98d4091bd7676c368594ff48b1f37ca8e2175cdc86ffab9dc946d2f892bf4a28","observation_id":"d073b716-85b9-443d-94fe-76d37864e334","resolution":{"observed_at":"2026-08-05T11:41:43.858309Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.845972Z","title":null,"venue":null,"work_id":"b594b4e1-340c-41ba-8362-59362db9efbe","year":2019},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.498787Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:2380ef8e023aa61794e0f385a33c67f90532c83703ac46ce86ff82420270dd51","observation_id":"e7da42e8-9acc-46a9-b6ea-cbdde2d70265","resolution":{"observed_at":"2026-08-05T11:41:43.849703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.835003Z","title":null,"venue":null,"work_id":"8379f5c5-96a8-4499-868d-b0d379a228ec","year":2018},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.502460Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:403a0218ab79bac53e25d180ba4527f01a21191612afee270ea1e26ff2c3f03b","observation_id":"f74d96c6-63c7-4262-861b-1488e4058e88","resolution":{"observed_at":"2026-08-05T11:41:43.838372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11429","last_updated":"2022-10-06T20:43:53Z","snapshot_observed_at":"2026-08-07T00:36:01.247910Z","submitted_at":"2022-09-23T06:13:16Z","title":"News Category Dataset","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11429","snapshot_observed_at":"2026-08-05T11:41:43.505195Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.505195Z"},"links":{"cited_paper":"/paper/2209.11429","citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:68870af2b67aa6a383f5d096d2a0f4dd25c25565284279457ebb6e749e302c2e","observation_id":"09da5a5e-022c-4357-9bca-ece175e110cc","resolution":{"observed_at":"2026-08-05T11:41:43.505195Z","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":"2026-08-05T11:41:43.825256Z","title":null,"venue":null,"work_id":"9611d6c9-f1e9-4f9b-905f-a994e2be3aaf","year":2016},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.508039Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:81dbb617d4353adad7eece7db91fa5d6ff2ce9b64c11091f82ad7ff9f9b36601","observation_id":"1e08ef2a-100c-477b-a76f-1c6de2e4d6f1","resolution":{"observed_at":"2026-08-05T11:41:43.828190Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.510757Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.510757Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:6e15ef4dbc67dfe6e4f377032812ab2575a9e0005cf38c9a6780a3ebaedd9f69","observation_id":"9d2a15ad-8a1f-41d7-a6aa-cb5fab1efd8b","resolution":{"observed_at":"2026-08-05T11:41:43.510757Z","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":"2026-08-05T11:41:43.815393Z","title":"K., Thrun, S., and Mitchell, T","venue":null,"work_id":"a2d0f1e7-715b-4ade-beff-e10f67816592","year":2000},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.513534Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:9731a1d0d9c2f4183c09a0b9260a323d267d66bff9396288d00f8d28c97be9f0","observation_id":"fa82dbcb-386c-4709-bb63-ae12511a5051","resolution":{"observed_at":"2026-08-05T11:41:43.818686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.806713Z","title":", Brucher, M., Perrot, M., and Duchesnay, E","venue":null,"work_id":"72f553c9-50a6-44ee-b2c7-20fedfb77064","year":2011},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.516168Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:2315e8fca00117ad32b8da6b2aa14bcf1ede4a3c799d499d8e0edd3fb8476e99","observation_id":"a1dfdbee-db57-4574-8864-d1890c1ab0d9","resolution":{"observed_at":"2026-08-05T11:41:43.809514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.798105Z","title":null,"venue":null,"work_id":"6295f85f-8e24-4163-a284-bd857cb7493f","year":2023},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.518785Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:f0011d0e2cee4214ee2c8ef9b9f620f1cb3b4524d3d47e6a53a73ca805129876","observation_id":"afbfb5a9-4299-4654-90db-a8a5b148c648","resolution":{"observed_at":"2026-08-05T11:41:43.800913Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.788358Z","title":null,"venue":null,"work_id":"cc7a409b-93bf-462b-bc26-ea7639b3beca","year":1980},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.521260Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:a1502e068b35219175faa516efa52d7e92767aa8f5352a7c409df5413288cfdb","observation_id":"553c7ec3-d02a-44f4-835e-1e235a2a8920","resolution":{"observed_at":"2026-08-05T11:41:43.791851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.779201Z","title":"D., Shih, L., Teevan, J., and Karger, D","venue":null,"work_id":"be28332e-947a-4a65-8bb6-c813ad43d4d8","year":2003},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.523693Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:a964ea98e97f4823500daf7fb02391de7700ae988cbeb539ccfa632e38924423","observation_id":"a3b03c2a-a33f-4e74-a8d8-fccb8c54f6d3","resolution":{"observed_at":"2026-08-05T11:41:43.781848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.769977Z","title":"and Buckley, C","venue":null,"work_id":"050dbc2a-67a7-4264-aa6b-b76c765b9518","year":1988},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.526975Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:10555d3992c12e9249011cd18a8403aeba21c828244d1b7a53628561a8be4db1","observation_id":"187d0ac3-6e59-4b3a-84c5-a5bfdf235fd4","resolution":{"observed_at":"2026-08-05T11:41:43.772880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.760773Z","title":null,"venue":null,"work_id":"4e4b43b5-2739-428c-a05c-8ecf7421c315","year":2012},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.530107Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:a4aa7c3794686967f0e7fecf9a2fec195ad1c17e1000cf9b06e98f8368e28f6d","observation_id":"a51a04c3-21bf-4d5a-a564-67ed541d99d7","resolution":{"observed_at":"2026-08-05T11:41:43.764180Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.748138Z","title":"M., and Furht, B","venue":null,"work_id":"13bb46f7-23ad-4956-84ae-4edb8305d152","year":2021},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.533578Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:ddb0ac10d0d36d30dfcfa95c97f7bca6ea375c91835016d877762e12129fa4e2","observation_id":"acfd33cb-9476-467f-a249-4392eecf19d1","resolution":{"observed_at":"2026-08-05T11:41:43.752010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07137","last_updated":"2019-03-17T17:42:29Z","snapshot_observed_at":"2026-07-06T07:39:50.674241Z","submitted_at":"2019-03-17T17:42:29Z","title":"Topic-Guided Variational Autoencoders for Text Generation","version":1},"cited_work":{"arxiv_id":"1903.07137","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.07137","snapshot_observed_at":"2026-08-05T11:41:43.573772Z","title":"Topic-Guided Variational Autoencoders for Text Generation","venue":"cs.CL","work_id":"8c163105-c89d-4a0a-8a86-9d885be13212","year":2019},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.536590Z"},"links":{"cited_paper":"/paper/1903.07137","citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:1123c1818928a3a2cb75eb72787288b24fadc0343bc5dc606c5a3861546e473f","observation_id":"04a34b28-59bf-45d7-8b79-df359a79921d","resolution":{"observed_at":"2026-08-05T11:41:43.579067Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.737684Z","title":"and Zou, K","venue":null,"work_id":"df375aa7-9b58-4b27-91ab-9e03f72524e0","year":2019},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.540232Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:1f2ed33acf2d5fc7497e7859d06adc3ab795ebbc3884e47c3cecceff29a3c9f7","observation_id":"325db2f4-bb7d-4932-a2e2-d36389902caf","resolution":{"observed_at":"2026-08-05T11:41:43.740822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.726864Z","title":null,"venue":null,"work_id":"48921ceb-8dd5-4eb0-96ce-69241c13eb35","year":2004},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.542791Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:1e42bcf080a1be106ad84f8352874a1fa2a9f440166ce60658b6121031a9ab01","observation_id":"9bcb28ac-204d-45ff-a43a-3fd8c85e0648","resolution":{"observed_at":"2026-08-05T11:41:43.730354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.716667Z","title":"M., McCarthy, K., and Zabar, B","venue":null,"work_id":"721db4b5-c10e-4aad-b6b9-63053b7c0f59","year":2007},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.545324Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:44c4822e7f0e5b2c533f38b548fbf552cf9cb93002500baf8b009c3a131fa065","observation_id":"4c4cb328-afb4-48ab-8eda-41311773d366","resolution":{"observed_at":"2026-08-05T11:41:43.719541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.706541Z","title":null,"venue":null,"work_id":"f168388e-ae71-475b-8282-c64c6895af63","year":2020},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.548521Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:9ab3f73aa5788a4c74c9989ea497890d255c4e64042dbaaaa88802fa7775b959","observation_id":"bd27f7f0-ead3-43cb-8404-1e5fb60cf4f4","resolution":{"observed_at":"2026-08-05T11:41:43.709446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T11:41:43.696655Z","title":"and Elkan, C","venue":null,"work_id":"35bc63f0-45fe-48e3-ab04-8fb6ddd59e8f","year":2001},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.551049Z"},"links":{"citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:98391c5fbfc37a9215985f15c2345a0f15b7c008a803965afebb5ae22ea45e4f","observation_id":"03e1e127-c2da-4c97-a37a-3fd20c188fdc","resolution":{"observed_at":"2026-08-05T11:41:43.699471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T17:19:55.499011Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":2,"verified_fuzzy":20},"total_outbound_references":48},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2509.02332."}