{"as_of":"2026-08-08T13:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:93053408f530ea179145f175889fb4ff26fcebf191f19bc68998dfa03572d420","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:35:36.595106Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.17372/citation-record","integrity":"/paper/2506.17372/integrity","json":"/paper/2506.17372/citation-record.json","paper":"/paper/2506.17372"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:40.000578Z","title":null,"venue":null,"work_id":"0a6a02a8-c737-4be2-8920-9bd36181e7dd","year":null},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.524753Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:347fb3a5e2185dc73980ae32d39794148f0d0de1cbdfa282e0e67c7cecb1d4ba","observation_id":"b3f27b42-119f-44ed-b39f-a2eed0d59b1a","resolution":{"observed_at":"2026-08-06T23:35:40.046321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.825085Z","title":"Jost, Jonathan Nagler, Joshua A","venue":null,"work_id":"9a7c792e-ca7e-44be-9329-91518a986824","year":2015},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.554751Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:3e88e8f2bf7506d2d2dedc268afe7304129dc9c479db890e89d4bbfc5f030234","observation_id":"a5db08cf-e6d3-4475-b29a-bfae09cbfbfa","resolution":{"observed_at":"2026-08-06T23:35:39.864755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.737921Z","title":"Slanted Images: Measuring Nonverbal Media Bias During the 2016 Election, Apr","venue":null,"work_id":"5b4c3452-c3be-4354-af4a-419667f73ec5","year":2016},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.604876Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:ad551a669939e1076d1504e19b4807b1f5952188daced8d32b6434ab3e0f54d1","observation_id":"cab95755-d0a7-449e-90f6-afe7c663d57a","resolution":{"observed_at":"2026-08-06T23:35:39.757449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10649","last_updated":"2020-10-20T22:20:49Z","snapshot_observed_at":"2026-08-01T11:57:41.435198Z","submitted_at":"2020-10-20T22:20:49Z","title":"Detecting Media Bias in News Articles using Gaussian Bias Distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.10649","snapshot_observed_at":"2026-08-06T23:35:35.644885Z","title":"Detecting Media Bias in News Articles using Gaussian Bias Distributions, Oct","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.644885Z"},"links":{"cited_paper":"/paper/2010.10649","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:73a33d6df160999eef3b78b855e678aaf3cf634add966171b63683a70ef2ab81","observation_id":"e7b74b40-bf48-4368-8e5d-43679fad36b8","resolution":{"observed_at":"2026-08-06T23:35:35.644885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10652","last_updated":"2020-10-20T22:25:00Z","snapshot_observed_at":"2026-08-07T08:52:34.013730Z","submitted_at":"2020-10-20T22:25:00Z","title":"Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity","version":1},"cited_work":{"arxiv_id":"2010.10652","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.10652","snapshot_observed_at":"2026-08-06T23:35:38.664924Z","title":"Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity","venue":"cs.CL","work_id":"0ae1e295-01fb-4ac9-b230-43ab87da65f6","year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.694752Z"},"links":{"cited_paper":"/paper/2010.10652","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:32236ff0b85a265e7d94d4698ad477960b0d7809b0f0f22e130a56b77a26321e","observation_id":"4c3e4eed-4bd4-4ed0-ab90-3c0a6d69a9d2","resolution":{"observed_at":"2026-08-06T23:35:38.714764Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.03856","last_updated":"2020-11-07T22:20:03Z","snapshot_observed_at":"2026-08-07T03:43:58.720402Z","submitted_at":"2020-11-07T22:20:03Z","title":"Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles","version":1},"cited_work":{"arxiv_id":"2011.03856","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.03856","snapshot_observed_at":"2026-08-06T23:35:38.524817Z","title":"Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles","venue":"cs.LG","work_id":"e9d55842-0e4e-4b64-bbb7-849c2572de69","year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.740580Z"},"links":{"cited_paper":"/paper/2011.03856","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:b1f2512fb374211873c20803ecde6111d8d6467c5ea0d5cc268e4eff3d3ae7cc","observation_id":"d64962a8-8f2a-4594-9c10-ffc2657c9b6f","resolution":{"observed_at":"2026-08-06T23:35:38.564895Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.706232Z","title":"Echo Chamber or Public Sphere? Predicting Political Orien- tation and Measuring Political Homophily in Twitter Using Big Data.Journal of Communication, 64(2):317–332, Apr","venue":null,"work_id":"d828c2b1-fc97-4f23-b276-3ac4c926a151","year":null},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.784749Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:f00f76c456210b2900483914f444e6a08c2b2f83ffead0ebb2c61c9b99d060df","observation_id":"cf3106b2-fe2c-4f37-bcdf-021867d29752","resolution":{"observed_at":"2026-08-06T23:35:39.718296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.614293Z","title":"The Habermasian public sphere: A spec- ification of the idealized conditions of democratic communi- cation.Studies in Social and Political Thought, Jan","venue":null,"work_id":"8232adb3-b321-44d5-b566-bd3607705f55","year":2004},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.834748Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:2ed9197c68735c47638323e1ed3586dd70e0c6902c7be2faaf112c407dfe0a39","observation_id":"4405f3a0-dedf-4cf8-b93a-64fb34c2d82f","resolution":{"observed_at":"2026-08-06T23:35:39.654746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-06T23:35:35.884748Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, May 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.884748Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:d64c45c70690f97142bd3b1c856af3bc95c1a1522758e04bb35af711f8897c8f","observation_id":"2227d5bd-d5ae-4669-925c-3b6e2416e399","resolution":{"observed_at":"2026-08-06T23:35:35.884748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00614","last_updated":"2020-05-01T21:23:20Z","snapshot_observed_at":"2026-08-02T06:30:15.677165Z","submitted_at":"2020-05-01T21:23:20Z","title":"Multi-Dimensional Gender Bias Classification","version":1},"cited_work":{"arxiv_id":"2005.00614","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.00614","snapshot_observed_at":"2026-08-06T23:35:38.221719Z","title":"Multi-Dimensional Gender Bias Classification","venue":"cs.CL","work_id":"a7e60c90-7384-4004-bb7f-33ddd9cb88eb","year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.955049Z"},"links":{"cited_paper":"/paper/2005.00614","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:901f6c2ddd924d6f2d5df38cceee260f99a2b439326b84f5ecd996314713a70f","observation_id":"c26e0dae-ff2c-4dc1-8cca-c4077691d075","resolution":{"observed_at":"2026-08-06T23:35:38.227569Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-06T23:35:35.992233Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, June 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.992233Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:4c4c5122af89a94141574256ed838bda5e4f97881c2eaddabe8c3883fcd0c31a","observation_id":"84857dc9-7922-4846-96d7-d673965e9d61","resolution":{"observed_at":"2026-08-06T23:35:35.992233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07919","last_updated":"2022-06-23T13:46:10Z","snapshot_observed_at":"2026-07-06T11:29:47.401294Z","submitted_at":"2021-07-16T14:16:52Z","title":"A Survey on Bias in Visual Datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07919","snapshot_observed_at":"2026-08-06T23:35:35.998178Z","title":"A Survey on Bias in Visual Datasets, June 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:35.998178Z"},"links":{"cited_paper":"/paper/2107.07919","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:0d5669ae4e621cd5caacb4f373f53b6448d65e280cd63324f034e87b9915ba93","observation_id":"672a06f9-c1f8-40bb-8b34-b566a3a11158","resolution":{"observed_at":"2026-08-06T23:35:35.998178Z","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":"2026-08-06T23:35:39.554865Z","title":"Detecting Political Bias in News Articles Using Headline Attention","venue":null,"work_id":"c3edb444-d247-415b-8be3-fc3f09d18d89","year":2019},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.004627Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:d068391d3a76e5f58ef1ccd22406aeaa61650a7e89d35f273f7a2c983229243a","observation_id":"265284bf-104d-4266-89dd-e2f02785370e","resolution":{"observed_at":"2026-08-06T23:35:39.572373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.454819Z","title":"Quanti- fying Societal Bias Amplification in Image Captioning","venue":null,"work_id":"c14a8255-f3b4-4be6-9d02-cac99eaea3db","year":2022},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.031413Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:7ebfd2ba6dcadf11d85457e2577ced545dba4cbb5b2493a37399a9993e81bfc0","observation_id":"27a8ea9c-6ff3-4d2b-93d2-f2b777441127","resolution":{"observed_at":"2026-08-06T23:35:39.470291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.03557","last_updated":"2019-08-09T17:57:13Z","snapshot_observed_at":"2026-08-07T01:39:40.489262Z","submitted_at":"2019-08-09T17:57:13Z","title":"VisualBERT: A Simple and Performant Baseline for Vision and Language","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.03557","snapshot_observed_at":"2026-08-06T23:35:36.056764Z","title":"VisualBERT: A Simple and Per- formant Baseline for Vision and Language, Aug","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.056764Z"},"links":{"cited_paper":"/paper/1908.03557","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:3b15f1fe9e531ecd54c9e87cff0c1963d2cf95d6a619d96c0df905a47759b0f3","observation_id":"8904c7f6-7d3d-47f3-acb5-3536d3cb6646","resolution":{"observed_at":"2026-08-06T23:35:36.056764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.08100","last_updated":"2020-07-16T04:22:30Z","snapshot_observed_at":"2026-08-04T04:06:02.660083Z","submitted_at":"2020-07-16T04:22:30Z","title":"Towards Debiasing Sentence Representations","version":1},"cited_work":{"arxiv_id":"2007.08100","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.08100","snapshot_observed_at":"2026-08-06T23:35:37.922043Z","title":"Towards Debiasing Sentence Representations","venue":"cs.CL","work_id":"c24b85a4-9bd3-40d7-9811-c96e31b46fc8","year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.095619Z"},"links":{"cited_paper":"/paper/2007.08100","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:7736ea50c6cd51874e224411f615928714de645c6c1eb48981e3ae7767a06634","observation_id":"1223cf8c-4221-46c0-ab80-e5f2f5b28289","resolution":{"observed_at":"2026-08-06T23:35:37.926093Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.04047","last_updated":"2019-07-02T01:16:15Z","snapshot_observed_at":"2026-07-06T07:44:38.449115Z","submitted_at":"2019-04-03T22:17:27Z","title":"Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.04047","snapshot_observed_at":"2026-08-06T23:35:36.117278Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.117278Z"},"links":{"cited_paper":"/paper/1904.04047","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:fe2f4f982be6072d422d02c426120ff4fb8396edd5e64d3b1220911c9c6cfdac","observation_id":"c6186ba7-c417-4dd7-9d21-a4a068e2904e","resolution":{"observed_at":"2026-08-06T23:35:36.117278Z","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":"2026-08-06T23:35:39.379483Z","title":"Examining and mitigating gender bias in text emotion detection task","venue":null,"work_id":"b9dfefab-5775-43a7-93dd-2ebdfa00fb0b","year":2022},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.123490Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:3012ee1819a04250b7be877e82e4cc54b8fa487fb9fab8a7cda1b301d2dab38f","observation_id":"2a36db4b-5208-433d-8d86-2eff5c5db98f","resolution":{"observed_at":"2026-08-06T23:35:39.404829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.304868Z","title":"Same Candidates, Different Faces: Uncov- ering Media Bias in Visual Portrayals of Presidential Can- didates with Computer Vision.Journal of Communication, 68(5):920–941, Oct","venue":null,"work_id":"1705aac0-dccc-4142-b598-a590d6a96ea7","year":2018},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.146453Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:796ee4204e936845234ee20bf16812ade0865d72ad17b6c12b97f41ea2cafc07","observation_id":"efd9d63a-9072-4159-b423-a719901d0ae7","resolution":{"observed_at":"2026-08-06T23:35:39.336892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.09709","last_updated":"2019-12-12T16:04:17Z","snapshot_observed_at":"2026-08-07T08:52:37.910538Z","submitted_at":"2019-11-21T19:15:03Z","title":"Automatically Neutralizing Subjective Bias in Text","version":3},"cited_work":{"arxiv_id":"1911.09709","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.09709","snapshot_observed_at":"2026-08-06T23:35:37.725730Z","title":"Automatically Neutralizing Subjective Bias in Text","venue":"cs.CL","work_id":"48c75673-e319-431e-9e5a-bc4f6529f20b","year":2019},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.157543Z"},"links":{"cited_paper":"/paper/1911.09709","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:c5af998130a2a75053fb595f4ea86376bc7756d9919b2df7d10c5c47366dccf7","observation_id":"93bd73b9-eb5a-4c25-8035-f806a87b9caf","resolution":{"observed_at":"2026-08-06T23:35:37.776387Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-06T23:35:36.195264Z","title":"Learning Transferable Visual Models From Natural Language Supervision, Feb","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.195264Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:4cde0c6519158250adf96fb7c951ef83c03148ac5a18b5efe141c7915934d698","observation_id":"e2a2931c-7aa5-451b-8d51-5276a3daf784","resolution":{"observed_at":"2026-08-06T23:35:36.195264Z","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":"2026-08-06T23:35:39.202667Z","title":"Linguistic Models for Analyzing and Detect- ing Biased Language","venue":null,"work_id":"30301488-0fb3-4227-8c16-4b3f47ba953f","year":2013},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.234750Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:0d122158fe85df8e686c89221a348b0b7e064324c172090413f03ae903188e17","observation_id":"83b9b062-77b1-4481-906a-7b5afb06e792","resolution":{"observed_at":"2026-08-06T23:35:39.225765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:39.127685Z","title":"Robertson.Social Media and Civic Engagement: History, Theory, and Practice","venue":null,"work_id":"6ac97a6f-7c13-46be-8735-4d4e6bc1d5c3","year":2018},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.274754Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:73286e25cc7519ee6d738f3f90d21de66338fdfda51b4fecc6054a4fbfcab3c4","observation_id":"bec92435-5bda-4743-bce2-aa4353164488","resolution":{"observed_at":"2026-08-06T23:35:39.154750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:35:38.984746Z","title":"Determining Sub- jective Bias in Text through Linguistically Informed Trans- former based Multi-Task Network","venue":null,"work_id":"adf65ec1-d044-4a3d-aae0-cb0319847ef1","year":2021},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.324751Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:9c154c7a8af6f3401ef58e5fb34f411a017cc36fa1b0866f6af1cd0e1c36e3b0","observation_id":"674cda77-c333-4a12-9e43-db96cfbe6db1","resolution":{"observed_at":"2026-08-06T23:35:39.024750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08666","last_updated":"2022-05-20T00:45:40Z","snapshot_observed_at":"2026-08-06T08:25:05.058188Z","submitted_at":"2021-04-18T00:02:32Z","title":"Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08666","snapshot_observed_at":"2026-08-06T23:35:36.374934Z","title":"Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Mod- els, May 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.374934Z"},"links":{"cited_paper":"/paper/2104.08666","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:67fda3a1d766caa0d648e9359b221fcc78fbf4e72297cac1383d7432eafd1f14","observation_id":"d9aae4ef-5b2c-44be-b845-b5e0e890fb32","resolution":{"observed_at":"2026-08-06T23:35:36.374934Z","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":"2026-08-06T23:35:38.886319Z","title":"Predicting the Politics of an Image Using Webly Supervised Data","venue":null,"work_id":"7eb661a3-e784-4544-87ba-49464a2188b7","year":null},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.424848Z"},"links":{"citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:4472005daeafb9101288e966bc1c063c57db327593c2edbd9a43cb585bc6be62","observation_id":"b65962d6-9d8d-42c3-bbe7-1c3c716b427d","resolution":{"observed_at":"2026-08-06T23:35:38.924751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.08617","last_updated":"2020-07-16T20:32:54Z","snapshot_observed_at":"2026-08-08T06:51:31.909693Z","submitted_at":"2020-07-16T20:32:54Z","title":"Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval","version":1},"cited_work":{"arxiv_id":"2007.08617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.08617","snapshot_observed_at":"2026-08-06T23:35:37.277266Z","title":"Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval","venue":"cs.CV","work_id":"dec3e750-4ba0-49dd-9a2f-3d3248bafbe6","year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.464847Z"},"links":{"cited_paper":"/paper/2007.08617","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:3d60a63912090195a43e9f25f458a56c3ffba2e300f0389f4a85e778856de2c7","observation_id":"372de21e-cdf1-44ba-a35b-3f933cd510c1","resolution":{"observed_at":"2026-08-06T23:35:37.335047Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.08104","last_updated":"2022-07-17T08:16:49Z","snapshot_observed_at":"2026-07-06T13:32:08.499200Z","submitted_at":"2022-07-17T08:16:49Z","title":"A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition","version":1},"cited_work":{"arxiv_id":"2207.08104","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.08104","snapshot_observed_at":"2026-08-06T23:35:37.054767Z","title":"A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition","venue":"cs.CL","work_id":"76cdf414-0b15-4052-9e71-e8c604ed7a7f","year":2022},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.505674Z"},"links":{"cited_paper":"/paper/2207.08104","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:01cae443b5d6fe00e3511d7b6f1b5ca31747358af050e57532a29b747b3eae4c","observation_id":"47aab110-1525-41e0-8b43-b3488185c933","resolution":{"observed_at":"2026-08-06T23:35:37.090872Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.01682","last_updated":"2017-08-04T23:17:29Z","snapshot_observed_at":"2026-08-04T04:27:21.416704Z","submitted_at":"2017-08-04T23:17:29Z","title":"Deep Metric Learning with Angular Loss","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.01682","snapshot_observed_at":"2026-08-06T23:35:36.554752Z","title":"Deep Metric Learning with Angular Loss, Aug","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.554752Z"},"links":{"cited_paper":"/paper/1708.01682","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:c37ecc9785aef7cb7603971d66bb52a98836cabc3eab8730bf8123b12987283b","observation_id":"e0e0e997-28de-4dbe-ac54-7b0d1ac9acdf","resolution":{"observed_at":"2026-08-06T23:35:36.554752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.12246","last_updated":"2020-05-25T17:43:22Z","snapshot_observed_at":"2026-07-06T09:23:09.638746Z","submitted_at":"2020-05-25T17:43:22Z","title":"Demoting Racial Bias in Hate Speech Detection","version":1},"cited_work":{"arxiv_id":"2005.12246","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.12246","snapshot_observed_at":"2026-08-06T23:35:36.784746Z","title":"Demoting Racial Bias in Hate Speech Detection","venue":"cs.CL","work_id":"ef12ed0a-a55d-43aa-a71f-4a93d412f597","year":2020},"citing_paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:36.595106Z"},"links":{"cited_paper":"/paper/2005.12246","citing_paper":"/paper/2506.17372"},"observation_digest":"sha256:bea76a2ebd12cf022f1455eb9d907116b77c1569586daf7a072ac686bcea0430","observation_id":"6be9798b-8f1d-4a2a-bde2-e404778a08d7","resolution":{"observed_at":"2026-08-06T23:35:36.804822Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.17372","last_updated":"2025-06-20T16:03:20Z","latest_version":1,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-07T08:51:59.870748Z","submitted_at":"2025-06-20T16:03:20Z","title":"Multimodal Political Bias Identification and Neutralization"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":8,"verified_fuzzy":12},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.17372."}