{"as_of":"2026-08-06T03:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd7b10f70d0b08a3d2a8baca25e97fa7f4821e594ed22fb3209db83887f86752","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T10:59:57.104263Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2606.10772/citation-record","integrity":"/paper/2606.10772/integrity","json":"/paper/2606.10772/citation-record.json","paper":"/paper/2606.10772"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Particle markov chain monte carlo methods.Journal of the Royal Statistical Society Series B: Statistical Methodology, 72(3):269–342, 2010","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:4396d9e750a76d7e0b109286438b8cc72cafcde236ba6f79ccb2345b0708e79c","observation_id":"c5f7ffda-d679-4f54-9305-91cb73e6f29e","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Bayesian cluster analysis.Biometrika, 65(1):31–38, 1978","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:4edba8d9f5d4d5552d4142d96aa4da5c78a51c37e1cb8b7f0e18dc4be565442d","observation_id":"eb51afa2-b19a-409b-82ea-bee0d2c7e128","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Latent dirichlet allocation.Journal of machine Learning research, 3(Jan):993–1022, 2003","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:4827c4d5ac3816e3f3a4f3aaa9f02b28817e2d10694f96efe9182ba17aead221","observation_id":"a12933b4-1d73-4152-a6f3-73cd2f01187b","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Measuring partisan media bias cross-nationally.Swiss Political Science Review, 27 (2):412–433, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:7766de628a07f62287f4dd588c5793da1e981e77002e120a84ba7aa7dcb4ddda","observation_id":"09a9290e-cbb9-4747-8e36-30c60ffee175","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Costa-juss` a","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:0f91146500618b9864605698723d013a2cefe97503b1daee1ecf4bade208aa1d","observation_id":"800b4520-62f2-4a49-8325-18ce659eca32","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Does gender matter in the news? detecting and examining gender bias in news articles","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:79e146163db91fab945779a4de1602b8775931610058c906ec8e6bb5389e8de9","observation_id":"b6a4ce2e-0b9f-4f3f-bdac-d5ad2d79d93e","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes.The Annals of Applied Statistics, 17(3):2256–2278, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:0f17ff9011d8fb78a5d3d65cd5a652cafcd1844b255bfd5a526b6a5036bd5a06","observation_id":"7fe77065-1382-46c2-95fe-6eecce1b37f5","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Gender hierarchies in reporting genocide: an analysis of the dehumanization of palestinian men in western media.Communication, Culture & Critique, 18(4):310–321, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:b900c8ecfd84160d331f678e3b2c04223c9e0832c7599e8c22c2e4f0a5cfa301","observation_id":"2a729c94-872d-4371-bee7-e6ff88073370","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A bayesian analysis of some non-parametric problems.The Annals of Statistics, 1(2):353–355, 1873","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:cb51f361ce9360ef125d8fd072cdf52dc9342ae717785e78d730ca5755f507a3","observation_id":"6a7a2c96-68e7-4fa1-9726-c74a4efe27fd","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Israeli media coverage of international male and female politicians: Gender and ethnopolitical aspects.Communications, 48(2):226–248, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:451f1701b1b729b7c0b9c6fd6bb9a2652f4427ab257edf9d264a58aeab135068","observation_id":"a0ee8a08-77b4-4787-b1ba-458000479a2e","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Stick-breaking autoregressive processes.Journal of economet- rics, 162(2):383–396, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:6b2bcaa1d556d4d58f5f521f431aaf6c1b4a385fa2da47f5d27d9b46045551e7","observation_id":"b4ecc08a-04c4-426a-9d99-62d376123296","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Order-based dependent dirichlet processes.Journal of the American statistical Association, 101(473):179–194, 2006","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:d19409b49e9c91c74b947271ad358f652b6616c3714b6cab9f80316d4ea53f9d","observation_id":"dd534678-3009-4b3c-acd0-e72b7d22fbc5","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A time dependent bayesian nonparametric model for air quality analysis.Computational Statistics & Data Analysis, 95:161–175, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:32ad79b9d7da9f149861b4fcac6245d24aca3f339b03edbcbc736644cfbeb382","observation_id":"0a8a5ca8-e9c5-4d4d-8447-cf8373dd2499","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.00422","last_updated":"2026-07-21T10:04:54Z","snapshot_observed_at":"2026-08-04T00:35:34.738137Z","submitted_at":"2025-11-01T06:20:29Z","title":"A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications","version":2},"cited_work":{"arxiv_id":"2511.00422","doi":"10.48550/arxiv.2511.00422","metadata_source":"arxiv_reference","pith_arxiv_id":"2511.00422","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A systematic review of spatio-temporal statistical models: theory, structure, and applications , rights =","venue":"ArXiv.org","work_id":"6130a1e5-f73d-4bf1-b23e-8ab1daecbf98","year":2025},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"cited_paper":"/paper/2511.00422","citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:21c7555b01a4632d3d12d33213a5063b298feb47b226d7d98631c78012f68bcc","observation_id":"97f4be08-dc90-4288-9d25-a4834655b2a8","resolution":{"observed_at":"2026-07-22T03:22:00.720973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-27T10:59:57.104263Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:780fe707ac848907a7d8a95b0acc51ba9a994480f452100fcde3e0b511412c43","observation_id":"daa3fdcf-a2cd-4cb0-9d8a-c58abf8735e4","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"The promises and pitfalls of llm annotations in dataset labeling: A case study on media bias detection","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:f1749e7a453d40bb9402c45914d46afc058fe199c1d11597612a8d55085ca875","observation_id":"018bd1f9-ea9c-4aa9-a7b6-e58a7ae4e6ad","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Women are seen more than heard in online newspapers.PloS one, 11(2):e0148434, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:d6206cb4ef97f7e8c6af27d69d2ed772f0560cc75755b3e3ab08f556f9c737a9","observation_id":"0ca3de78-6da7-4e34-b786-222ef60ce24b","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Violators, virtuous, or victims? how global newspapers represent the female member of parliament.Feminist Media Studies, 20(5): 692–712, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:340461362976c40edee98e75a0ca1ef2c2d63dfb738e4bd307c7cab59f0adef8","observation_id":"1722e0ff-8806-4883-bca9-0101a1c29d7d","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1612.03651","last_updated":"2016-12-12T12:51:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-12-12T12:51:03Z","title":"FastText.zip: Compressing text classification models","version":1},"cited_work":{"arxiv_id":"1612.03651","doi":"10.48550/arxiv.1612.03651","metadata_source":"pith","pith_arxiv_id":"1612.03651","snapshot_observed_at":"2026-07-11T01:47:47.470175Z","title":"FastText.zip: Compressing text classification models","venue":"cs.CL","work_id":"cd1495d8-ba03-4095-b4d3-ea0d52c24350","year":2016},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"cited_paper":"/paper/1612.03651","citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:2102e82de13899eb8b0ad48a36db6f0f8dfe5e71e2b2fddd30d1adf14feedcb4","observation_id":"de727eb9-4e16-4e95-a34b-e532a861ad00","resolution":{"observed_at":"2026-07-03T08:07:45.529386Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-27T10:59:57.104263Z","title":"Bag of tricks for efficient text classification","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:14860eb7e09416f483e826cc585c424311c86f776b1919d4846ad512df9c67db","observation_id":"94e0b8a7-4a1a-4292-bf2f-3c3d3eb69532","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Die geographie und die kulturerdteile","venue":null,"work_id":null,"year":1962},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:bcfe76252b9f1fcb98a5bb94b7a1b991fb690fe3e9bd7124476aae0f0724218b","observation_id":"9ce5a403-6bf5-4957-a121-c2e7b7a62c80","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Dirichlet process mixtures of beta distributions, with applications to density and intensity estimation","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:8e32899b8c0064b81c7f242ab1670f5789bbba5724db141e9f66c0f2439023b8","observation_id":"5e28aeea-25c4-4f38-a06b-c75b0cdb6ee4","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:5871b5c2edb704663789743c21b8dfe028135a65237faebaf0ef0e42db34d7e6","observation_id":"9e1bdfd8-f69f-4037-ae7e-15408fe481c6","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Bayesian model-based clustering procedures.Journal of Com- putational and Graphical Statistics, 16(3):526–558, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:9897df9666508b454fbc57945c045591b6e75b3a91346855602e9bf789291fd4","observation_id":"ee5c875d-29fd-49b0-8bfb-25615e0fe4b7","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Logistic-beta processes for dependent random probabilities with beta marginals.Bayesian Analysis, 20(4):1345–1369, 13 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:3f721303a187cd64e6fff64e81e675d48a08c0dd87c5b06e4d133e13b75b144b","observation_id":"c4c36053-752f-4bb5-8e66-117ecef6c270","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"The specific visuality of women of the global south in the media of the global north","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:4fc8e0715ff8e6b2cb230fa0a0ba7f6d1f8b8309aef600c4e473174dcb64340a","observation_id":"fea57f65-2bb6-45d9-a4ab-7c545a902daa","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"On a class of bayesian nonparametric estimates: I","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:22bd59d1a040c922908d887b76407e224f4f5af851f21101fd62ef2e622a4935","observation_id":"8fd7359c-8183-4154-a734-ea86ae183758","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","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":"2601.04625","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T08:07:45.525708Z","title":"Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta stirling-gamma process.arXiv preprint arXiv:2601.04625, 2026","venue":null,"work_id":"e54e0614-43f6-429a-9b53-fca1bce0d974","year":2026},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:bb8906210ac8cdb0364d5584e26e4e9a30b028f55f3cd512c1a72595733f7773","observation_id":"63b9577b-357a-4e97-a091-05892aec2414","resolution":{"observed_at":"2026-07-03T08:07:45.527181Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-27T10:59:57.104263Z","title":"Comparing clusterings—an information based distance.Journal of multivariate analysis, 98(5):873–895, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:daadfcf8deba2aafacd81857ccb675268f6b8f80645ea53005144993110dc5f3","observation_id":"c025f12a-9022-45b7-b18e-baf3c1e49d14","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:02928cb582bd1314975aa5d30eea27a6b17792e2478148ba69cf5855c93e3ec2","observation_id":"063da4c6-cb3d-4b89-b595-a5286dc9ac8e","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Dependent modeling of temporal sequences of random partitions.Journal of Computational and Graphical Statistics, 31(2):614– 627, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:51dfce5815de7d174f63bb60277a386a8b61e9cb8fdeff694704fd42d773e9a9","observation_id":"82b510f9-a02e-4e1d-8500-c17256af976a","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Women in business media: A critical discourse analysis of representations of women in forbes, fortune and bloomberg businessweek, 2015–2017","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:21d0e02e240a99b44b8cb229bd0c25d7f016621116d5c33aa2c4d4ecf90685af","observation_id":"733d1211-aac8-4320-b6c7-a8da40f24fb9","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Gender bias in the news: A scalable topic modelling and visualization framework.Frontiers in artificial intelligence, 4:664737, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:ec2c9fc914bd637cedf5cd396ad99379f47d9fde58a385febdf59ae5d30eb45e","observation_id":"e3b9bd5a-9da3-44fb-ae46-75f4ffba38b8","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"i can’t just pull a woman out of a hat","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:e271e22a15bec8eb37209f911fb64adf3275b13fd3bd89792a228fd420f9f6a6","observation_id":"ff9c65ce-37db-43a8-8bd7-c3b57785a38d","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A stochastic approximation method.The annals of math- ematical statistics, pages 400–407, 1951","venue":null,"work_id":null,"year":1951},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:60b4cf793b3ae89151ba5c0beca594a245945bf7bfd504cea5aa15e808d03743","observation_id":"880fe83d-1f28-4dd1-803c-440f695f41fa","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Optimal scaling for various metropolis-hastings algorithms.Statistical science, 16(4):351–367, 2001","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:ab240941eeed9d0603129760d052b0255acd280e70575f1e6d35475b5528085e","observation_id":"e8e49091-2da3-4925-b62d-3542d653e4ec","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A constructive definition of dirichlet priors.Statistica sinica, pages 639– 650, 1994","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:b1d5efd9f5780ddcd9506ff82331939b926fe3981c88260d3b24ee60d4ef7a4d","observation_id":"2f7dcf18-c446-4d58-a231-e7dfd5e6aa04","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A paper ceiling: Explaining the persistent underrepresentation of women in printed news.American Sociological Review, 80(5):960–984, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:0682a03e60264e31f90cc311d198a25de414214bb9d49339810923b5b46cffdc","observation_id":"2b6fad77-8608-4776-8e88-cd678f97f99f","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A large-scale test of gender bias in the media.Sociological science, 6:526–550, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:fa9e9b06784e2ed94dd6857ff30be079eb7dfddebd5edee4aa0132c88b4827f8","observation_id":"ad0a3d52-a4e0-4ecc-93b3-c3ef3373acbe","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Do women in the newsroom make a difference? coverage sentiment toward women and men as a function of newsroom composition.Sex Roles, 81(1):44–58, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:8a935df9b8848b16f366ba583d78e5c92b080ce7f4be95ca267e808e15664376","observation_id":"326e3090-e6da-42fb-8a45-c73e4607d72c","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"A better lemon squeezer? maximum-likelihood regression with beta-distributed dependent variables.Psychological methods, 11(1):54, 2006","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:b544715a9111606addf06ece9fbade82a25193be23827253c882ee1b4c5d313b","observation_id":"bcc5d7db-2788-4c93-96b0-beaf1cb4d93b","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Springer Nature, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:16a5dcd30c4723398b6afc4fb6f8570fc11a76838ea6d2906fe786c83407252f","observation_id":"b1e926af-1637-426b-8518-c10603130b7a","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Reported speech and gender in the news: Who is quoted, how are they quoted, and why it matters.Discourse & Communication, 19(1):93–113, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:dc4f520043907b349bc2384de9c7b6217caf8509e2f234dee00a3d396c59182d","observation_id":"049a07ee-2645-4493-a3c2-4f6bfaf14fe8","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Gender novelty and personalized news coverage in australia and canada.International Political Science Review, 42(2):164–178, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:79c46355a3d9e46de1c8ac5ddaaef747bc3fdf33ee5a9c692030e1e407affd7c","observation_id":"5102df3c-f845-4944-8189-0a40d5015dc3","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Gender differences in political media coverage: A meta-analysis.Journal of Communication, 70(1):114–143, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:69788b0ede0dce5ed611ed39b410233bbea0045cf86bc00522cd3c523f6e5751","observation_id":"67d3be5d-884a-46be-9323-b7dd413d381d","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Bayesian cluster analysis: Point estimation and credible balls (with discussion).Bayesian Analysis, 13(2):559–626, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:06b427ba339b719a12a3a8dd8f4899fdfc6bff715fc4017773d185aae29b706b","observation_id":"64147a00-0542-45a4-baa5-5a49752f34ed","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T10:59:57.104263Z","title":"Furthermore, we use the appendix to describe the data pre-processing in section 8.2","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-27T10:59:57.104263Z"},"links":{"citing_paper":"/paper/2606.10772"},"observation_digest":"sha256:612606141058aebe65f557b1ef4cc02a90ad8a1454851147666234c3ae0c6159","observation_id":"65cdb90c-5901-4934-9387-6a77a958121f","resolution":{"observed_at":"2026-06-27T10:59:57.104263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.10772","last_updated":"2026-06-09T12:27:07Z","latest_version":1,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-01T20:01:42.567070Z","submitted_at":"2026-06-09T12:27:07Z","title":"Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":47},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.10772."}