{"as_of":"2026-08-07T10:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f5ac06167535cef84e10489ffda92ffc328813b299f9ed8cfa713ebc076b02c","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":"2026-08-06T13:39:35.110059Z","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":"2026-08-07T06:34:17.273281+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/2507.20358/citation-record","integrity":"/paper/2507.20358/integrity","json":"/paper/2507.20358/citation-record.json","paper":"/paper/2507.20358"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:39:47.212275Z","title":"Octoverse: Ai leads python to top language as the number of global developers surges,","venue":null,"work_id":"6b8d2a79-99e3-47ed-ac80-003aa69fb4a1","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:30.529234Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:6b04a7e7e32fe3841e2c1bc724146cef47105213ab00e9c9b5226fd93a280b11","observation_id":"c6dd85e2-9279-45ff-b49f-4af8de8df50d","resolution":{"observed_at":"2026-08-06T13:39:47.325013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:46.880792Z","title":"Gender differences and bias in open source: Pull request acceptance of women versus men,","venue":null,"work_id":"8b607e77-a953-499e-acf1-49ae2f2c9acc","year":2017},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:30.647274Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:383a5eed76d5d83b9cd9495ee11fbacab62381838d8dfd1cbffd72c362ae5205","observation_id":"0d7fe425-6926-41a5-8882-c8dc0a416d1f","resolution":{"observed_at":"2026-08-06T13:39:47.003487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:46.522446Z","title":"Paradise unplugged: Identifying barriers for female participation on stack overflow,","venue":null,"work_id":"88e7a88b-3518-4b61-ab98-5d74de3da21a","year":2016},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:30.727636Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:985da3cd0f10d4866bd8ebcad4f3fe6f3f07ae0bd721261f9d074d8a1072322a","observation_id":"e7b7f210-a626-4019-acdd-485f430b05a2","resolution":{"observed_at":"2026-08-06T13:39:46.654763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:46.216931Z","title":"Codes of conduct in open source,","venue":null,"work_id":"bcc8c07d-b003-4f97-826c-7ed063c3ad8a","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:30.805585Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:b8fc7a15d5e957bf009dd82c7271e545b66835ef5835ae664edf69c3c3fef1b3","observation_id":"41be27ea-fd98-4f77-ba4c-ff59b4ab2b0a","resolution":{"observed_at":"2026-08-06T13:39:46.317339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:46.064823Z","title":"Code reviews in open source projects : How do gender biases affect participation and outcomes?","venue":null,"work_id":"a16e0cf5-5ba0-4771-afbe-df084421aef4","year":2023},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:30.964255Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:c278ff32a70a8ca7cbff267d12c119eb0af30314ba1e9fa01d6bf9db7f7b35fe","observation_id":"bc66ada1-8832-43b9-9e79-44143b369a11","resolution":{"observed_at":"2026-08-06T13:39:46.191220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:45.634866Z","title":"Discrimination, misogyny and harassment: Examples from oss: content analysis of women-focused online discus- sion forums,","venue":null,"work_id":"6a12311a-f968-4569-a174-40615d88ce21","year":2022},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.070064Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:542f0c6c8c431f6aa2d09c3d4c1c87443239edb5996624024483d13f57d2a546","observation_id":"f3b78da2-692a-4931-8719-6c94cf3751f7","resolution":{"observed_at":"2026-08-06T13:39:45.839311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:45.334325Z","title":"Diversity and inclusion in open source software (oss) projects: Where do we stand?","venue":null,"work_id":"60646db6-d595-41c3-8448-ede92da1db5c","year":2019},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.124315Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:65ab9c050a55570331a229263edec24c3debad1afe49451226c11b45290be7c5","observation_id":"8420fcfe-d45a-4039-afe6-0fa5119c6112","resolution":{"observed_at":"2026-08-06T13:39:45.464751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:45.027525Z","title":"Fixing the leaky pipeline for talented women in stem,","venue":null,"work_id":"2f3b5e25-a770-4ce9-b792-2a4b77c02a2c","year":2021},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.206579Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:73568ca645403c4f252079c762e84015217db5a380466bdf1442062e50406a2a","observation_id":"ca1dc3b7-03f4-4899-8ef0-4b47f3f28982","resolution":{"observed_at":"2026-08-06T13:39:45.144823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:44.686264Z","title":"Ashcraft, B","venue":null,"work_id":"61b610ec-9d24-45fe-8329-0182e4562002","year":2016},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.284953Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:15fcf8ef7647710a6179db84b7fbe565009670e4ae4c9f47cc01541d0be7e4a4","observation_id":"80f18944-539b-4080-bc2e-bc72a2b57dc5","resolution":{"observed_at":"2026-08-06T13:39:44.785083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:44.314745Z","title":"Codes of conduct in open source software—for warm and fuzzy feelings or equality in community?","venue":null,"work_id":"2f84ba9b-6008-4cd6-836a-ff2633d1012a","year":2022},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.351552Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:184332ac2873fd314465bdb913045c7fd0fc99678c5047e776c49d6baaacac3f","observation_id":"590602f2-629b-4cb8-9ddf-d967820443b8","resolution":{"observed_at":"2026-08-06T13:39:44.474872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:43.954749Z","title":"Code of conduct conversations in open source software projects on github,","venue":null,"work_id":"90512dba-a7f6-4b6a-bf2c-7c28c31a6ddb","year":2021},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.458990Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:6bb44c031b6eebd94f8af5196d56d4c82df6ee80ae13ca20dfbd6650e1aef8d1","observation_id":"66ac374a-ce1e-4e59-aaa7-9169087d4e2f","resolution":{"observed_at":"2026-08-06T13:39:44.120122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:43.634751Z","title":"Code of conduct in open source projects,","venue":null,"work_id":"3b86a093-0999-469c-9419-2bd4d61fc2b0","year":2017},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.556052Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:e8ce6b22d19486c277a3fa1b79451fe4b78c1d6c78311fd11b594db14d44fd50","observation_id":"7546afdc-dd94-498f-9899-59aaa22c8095","resolution":{"observed_at":"2026-08-06T13:39:43.745008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:43.413573Z","title":"Building and sustaining ethnically, racially, and gender diverse software engineering teams: A study at google,","venue":null,"work_id":"bd4ba393-7290-4826-ae32-518c220e18a7","year":2023},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.618143Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:b38b0a8db2f89b8c3ad76b7b3cb1a8dbacab4ccbf0370313c57c50e133e3a012","observation_id":"4134dce7-1533-4961-9637-febb56f31ebb","resolution":{"observed_at":"2026-08-06T13:39:43.447948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:43.159517Z","title":"Implicit bias and negative stereotyping in global software development and why it is time to move on!","venue":null,"work_id":"e5bf3316-fdff-49cb-bf7a-f81afa00ede5","year":2023},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.724742Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:8262278cd81f6727e461f9bf584dda840dca2de62e72a0c6f8f44023cb12f3f5","observation_id":"f272cd93-cfed-452e-a9b3-192fc4f0f956","resolution":{"observed_at":"2026-08-06T13:39:43.274182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:42.930204Z","title":"Automated identification of sexual orientation and gender identity discriminatory texts from issue comments,","venue":null,"work_id":"7600da5f-d387-45b4-b963-1b6e54d5215a","year":2025},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.859273Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:aba9070c4a72ff4b1249819b3122a1f788e4cc5a31855ee09efe89a16f2f6ea7","observation_id":"841468b5-af0c-4ec6-9a32-1095455391bf","resolution":{"observed_at":"2026-08-06T13:39:43.034747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:42.674750Z","title":"Exploring chatgpt for identifying sexism in the communication of software developers,","venue":null,"work_id":"8b6a1009-0b17-4113-b870-a9265d43a2db","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:31.976306Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:e872914f1daf95bce5f50d2aa0861ef174608f4fe63495762edb2a18033bcad8","observation_id":"908d1111-9b6f-49d2-91d5-01d799d740d5","resolution":{"observed_at":"2026-08-06T13:39:42.744757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:42.345831Z","title":"Automated identification of toxic code reviews using toxicr,","venue":null,"work_id":"242bf7c4-fb41-446e-8d9a-d943ad0e603c","year":2023},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.094282Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:59d307b5e16f22b9de49f2a01b34d92565607a36143255a8a41f8f3e14a1d4cc","observation_id":"80d0bdb6-2abd-4f59-a483-3c4a298c5184","resolution":{"observed_at":"2026-08-06T13:39:42.505324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:42.163013Z","title":"Incivility detection in open source code review and issue discussions,","venue":null,"work_id":"3f60fb65-a3a2-443e-a0b5-86e8716d677f","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.254798Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:fb8d8e31fb43a030e92cda24320f77cf8f9c81d9065ebcade274f216c50d1fb6","observation_id":"62512e09-61fc-4ac9-a3c5-d1888d3f8f73","resolution":{"observed_at":"2026-08-06T13:39:42.234894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:41.933172Z","title":"A meta-analysis of procedures to change implicit measures","venue":null,"work_id":"464f55bb-fe0d-4e57-9fe1-e95bb6e54a12","year":2019},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.377992Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:ee4d9fa8688cf5fe2d06b85ddf005dce4bc5c070657d72141fa01d45272950a0","observation_id":"9776f914-470b-45ba-9914-ebe369ebe97f","resolution":{"observed_at":"2026-08-06T13:39:42.000786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:41.673165Z","title":"Reducing implicit prejudice,","venue":null,"work_id":"cdcac42d-79e3-4657-91d7-d80a06ff6144","year":2013},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.432563Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:d55ce43d9c3c8e10b19467441e0fbca17a42f8fea6950e9d2ae6bdf5c18b78dc","observation_id":"cf9969ef-0ea1-43b2-8b42-d4b72b146a17","resolution":{"observed_at":"2026-08-06T13:39:41.738800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:41.421323Z","title":"Toxispanse: An explainable toxicity detection in code review comments,","venue":null,"work_id":"a632373a-408c-428c-9d47-fff1a6f1a9de","year":2023},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.554745Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:b00fc528354accfacea1f663573999e35df7f8e5e877ca4019b41e9c2f33b964","observation_id":"c1e7392f-dca7-443d-9757-c4c8e0735ef4","resolution":{"observed_at":"2026-08-06T13:39:41.537382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:41.206282Z","title":"A rubric to identify misogynistic and sexist texts from software developer communications,","venue":null,"work_id":"affd0f61-4ffa-4f0c-8460-c21cac8c70f4","year":2021},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.600405Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:c98eb8ee038c3b5ce64a8610f813a9e37bd8a7acd22acb802ad615303effe29c","observation_id":"c4dd3b1a-634e-43a5-bb2c-d0097873e9bb","resolution":{"observed_at":"2026-08-06T13:39:41.298724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:40.937347Z","title":"Challenges and frontiers in abusive content detection,","venue":null,"work_id":"88149b3c-8d7b-4dd3-9565-557fd11b5ba4","year":2019},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.656545Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:3badc6f9b92a08f741d5420e9ef8ad25fb982e399622775cf6d3889fbd62bbb4","observation_id":"a2957c08-1102-457f-9610-c44a5458d6bc","resolution":{"observed_at":"2026-08-06T13:39:41.072622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08587","last_updated":"2025-05-11T04:59:46Z","snapshot_observed_at":"2026-07-06T20:05:28.003434Z","submitted_at":"2024-12-11T18:06:44Z","title":"Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning","version":2},"cited_work":{"arxiv_id":"2412.08587","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.08587","snapshot_observed_at":"2026-08-06T13:39:36.088661Z","title":"Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning","venue":"cs.CL","work_id":"80ade6fb-36e7-4fd3-b6e7-f3dbb811e666","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.804953Z"},"links":{"cited_paper":"/paper/2412.08587","citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:fe7c931a27da26cb367ad763ab64ba39c811d2905f07b1542af57d084d2a3d4e","observation_id":"8e93680c-8984-40e8-80b5-6e141c81750e","resolution":{"observed_at":"2026-08-06T13:39:36.260799Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08457","last_updated":"2025-01-14T22:02:38Z","snapshot_observed_at":"2026-08-05T13:52:47.919910Z","submitted_at":"2025-01-14T22:02:38Z","title":"Large Language Models For Text Classification: Case Study And Comprehensive Review","version":1},"cited_work":{"arxiv_id":"2501.08457","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.08457","snapshot_observed_at":"2026-08-06T13:39:35.856984Z","title":"Large Language Models For Text Classification: Case Study And Comprehensive Review","venue":"cs.CL","work_id":"8b539fbc-7612-4050-a152-302bca2293e8","year":2025},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:32.953116Z"},"links":{"cited_paper":"/paper/2501.08457","citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:8116905d6770fa23f8ed2ccf1c588c41f40dc26291ebce8a4ce707ebc4db8110","observation_id":"a86a9b73-2ed1-4de2-83f2-08e814440da0","resolution":{"observed_at":"2026-08-06T13:39:35.932621Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:40.589305Z","title":"Design science research,","venue":null,"work_id":"211d0b70-673a-4b43-aa6e-7e88459d10e1","year":2014},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.027250Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:9d53bcec629d44fb136d10097992c646aa315bbcd2331a740468f0c2f76cf2fb","observation_id":"7a85f687-1e0b-46b6-a46d-1d70782002c3","resolution":{"observed_at":"2026-08-06T13:39:40.789637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:40.247712Z","title":"Automatic identification and classification of misogynistic language on twitter,","venue":null,"work_id":"d70d0bdf-d9c7-4d21-bd9f-15bbe5ac19da","year":2018},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.153275Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:61593221bda446f6c2c1bb38d0cc75ddd13bdc21165ecb41770706288a37389d","observation_id":"d78daf9a-a8e9-4bd9-ae30-4dc84e6c6fd4","resolution":{"observed_at":"2026-08-06T13:39:40.390808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:39.962155Z","title":"Overview of the task on automatic misogyny identification at ibereval 2018","venue":null,"work_id":"751a66cf-ae8c-4886-a493-cc8ab4e455c9","year":2018},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.260643Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:5ab1f5ff635380e74bd147317bf564ff77af5636f11e00bb4ff0d52bd49e20a1","observation_id":"45017d86-904f-4abf-8736-3c0b838d6a1b","resolution":{"observed_at":"2026-08-06T13:39:40.137214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:39.681030Z","title":"Ami@ evalita2020: Automatic misogyny identification","venue":null,"work_id":"fafcbf2c-ccc6-429f-a99d-99818700bef9","year":2020},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.344252Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:4ada498132281bac9370c6c81fdd718b42f31682e27684f06aee9fde25071bb6","observation_id":"5334ed2d-bbb7-49d1-bc30-c2ec76519bb6","resolution":{"observed_at":"2026-08-06T13:39:39.816520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:39.445322Z","title":"Unibo@ ami: A multi-class approach to misogyny and aggressiveness identification on twitter posts using alberto,","venue":null,"work_id":"baa331f9-0922-4cfd-810f-7b7e92c34683","year":2020},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.447865Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:1504018546032321fef7b4757b2fca2d76a868f231ded73d7df117d4f1273fdb","observation_id":"f9c1abb7-09bd-4592-aa5a-0bfa115e111c","resolution":{"observed_at":"2026-08-06T13:39:39.521006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:39.206978Z","title":"Developing a multilingual annotated corpus of misogyny and aggression,","venue":null,"work_id":"d7a85fe1-bae2-4d0f-89de-e97bdd39d96d","year":2020},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.565634Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:6fc80ddcd850ea3054fba8946d5e432edfbdc0c088bc3810321abbbb88a0378b","observation_id":"73a93bb2-10a7-4327-a427-a87e7489aa05","resolution":{"observed_at":"2026-08-06T13:39:39.294993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2522.33260","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:39:35.664352Z","title":"Exploring misogyny across the manosphere in reddit,","venue":null,"work_id":"60a7fa2c-0c62-4166-9562-db6ff2d112b7","year":2019},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.668792Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:a06b85f80866ea788bb2a9773a98651c5ba0725538c23d22c3ad0226f1d2456f","observation_id":"daef7a18-d0be-4ee0-95cb-02347211f258","resolution":{"observed_at":"2026-08-06T13:39:35.701994Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:38.979887Z","title":"When does a compliment become sexist? analysis and classification of ambivalent sexism using twitter data,","venue":null,"work_id":"c0feaaa8-1dc7-4fa5-93b3-5eaf212b5f9c","year":2017},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.788089Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:100d61aab503cf7f8edb912fc0844a04f50dd3f60caaef83614a633ab54d0716","observation_id":"9abf5d99-35d4-4a67-926c-ccedd90afc42","resolution":{"observed_at":"2026-08-06T13:39:39.068308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:38.731863Z","title":"An expert annotated dataset for the detection of online misogyny,","venue":null,"work_id":"65b918f5-757f-4b4e-9bd4-5f5ab8abd325","year":2021},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:33.918166Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:3160f77eb2af9a9568a547abaf9bcd399b640e7eef5cdebd4f429f5bc66642d4","observation_id":"4af77fec-ac94-4e45-a86f-c8ccc02976c0","resolution":{"observed_at":"2026-08-06T13:39:38.825646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:38.500090Z","title":"Overview of exist 2024—learning with disagreement for sexism identification and characterization in tweets and memes,","venue":null,"work_id":"b1886524-6aac-4405-a244-f1c69284f141","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.035914Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:cf6bda37199aacd6756a9c4091aad6e5a7a1fcdcea8663e1b08ac34119dc594d","observation_id":"aba50f2a-ea5a-4a90-8b1f-98806f186e46","resolution":{"observed_at":"2026-08-06T13:39:38.593703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:38.266503Z","title":"Detecting sexist meme on the web: A study on textual and visual cues,","venue":null,"work_id":"e6a22c40-feeb-4551-8661-832ccb548c43","year":2019},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.100276Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:d9b10dfae07a25c6300d068e8c23c83eee912ae05f77917e062fd96e0607de88","observation_id":"a0f6df7f-106e-40c5-8cf0-907124ff9091","resolution":{"observed_at":"2026-08-06T13:39:38.324835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:37.991323Z","title":"A contrastive learning based approach to detect sexism in memes,","venue":null,"work_id":"c76d5633-5b97-4193-ae8b-d5305db631ae","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.188048Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:e83777ed1e693fcbe5dc3099ba27345ce22de500f0ede57db8a87a337d8a3ecc","observation_id":"06a153e4-79be-451c-8609-e03d955ad688","resolution":{"observed_at":"2026-08-06T13:39:38.122603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:37.726397Z","title":"Concatenated trans- former models based on levels of agreements for sexism detection,","venue":null,"work_id":"35992288-d963-4526-bdbe-e24160d0b5fa","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.323099Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:2260bbdcc4ab8795d545a8506c512bb4d725745a0bd3337f6c95adaae4637dfa","observation_id":"b9f58471-1335-4d2e-886a-6041b4a32499","resolution":{"observed_at":"2026-08-06T13:39:37.879633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17123","last_updated":"2024-11-26T05:29:18Z","snapshot_observed_at":"2026-07-06T19:57:06.097199Z","submitted_at":"2024-11-26T05:29:18Z","title":"Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17123","snapshot_observed_at":"2026-08-06T13:39:34.449212Z","title":"Advancing content moderation: Evaluating large language models for detecting sensitive content across text, images, and videos,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.449212Z"},"links":{"cited_paper":"/paper/2411.17123","citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:555f272c26c56d1fcb5cc49ceb58784b067010b05b6b61e9098bfb0afc2efd3d","observation_id":"82e7eab4-9dbf-4d42-a2bd-f574b9083d1c","resolution":{"observed_at":"2026-08-06T13:39:34.449212Z","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":"2026-08-06T13:39:37.501656Z","title":"Watch your lan- guage: Investigating content moderation with large language models,","venue":null,"work_id":"c08aa568-848e-4524-ba07-0c9438cce295","year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.549064Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:2dde6add2eae767d5e6eb8851a782485ffdef3840078c11ae24fadbb2485faea","observation_id":"84bceca4-46c8-4a6e-bec3-63cda8ca44b0","resolution":{"observed_at":"2026-08-06T13:39:37.584755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13976","last_updated":"2025-01-23T00:19:14Z","snapshot_observed_at":"2026-07-06T20:25:12.962104Z","submitted_at":"2025-01-23T00:19:14Z","title":"Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13976","snapshot_observed_at":"2026-08-06T13:39:34.645582Z","title":"Towards safer social media platforms: Scalable and performant few- shot harmful content moderation using large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.645582Z"},"links":{"cited_paper":"/paper/2501.13976","citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:9a486e5e6a0700e4fd3e570f8cd7acabd5622851509c40e98a04a467fbde1968","observation_id":"949a0161-88c6-4535-8322-7c4bdb5f19b9","resolution":{"observed_at":"2026-08-06T13:39:34.645582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13977","last_updated":"2025-05-29T12:42:55Z","snapshot_observed_at":"2026-07-06T20:25:12.962104Z","submitted_at":"2025-01-23T00:26:32Z","title":"Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms","version":3},"cited_work":{"arxiv_id":"2501.13977","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.13977","snapshot_observed_at":"2026-08-06T13:39:35.366343Z","title":"Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms","venue":"cs.CL","work_id":"b48ce25f-c248-4844-ad23-acc7a6f8f569","year":2025},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.744768Z"},"links":{"cited_paper":"/paper/2501.13977","citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:7755077dabaa32155acf4f240acbef42f043789e7a94c281559fe7a83567e836","observation_id":"aa56f932-43b5-4886-a752-814a75b5ef46","resolution":{"observed_at":"2026-08-06T13:39:35.417775Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:37.237107Z","title":"Stress and burnout in open source: Toward finding, understanding, and miti- gating unhealthy interactions,","venue":null,"work_id":"bf7a9178-5eb4-483c-a570-397391a645a1","year":2020},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.795812Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:fce81d248380bb728215dc285a8422d1996f19b607dc0e61c894af04dcc348c0","observation_id":"ee6c9b29-f6a8-4fc7-bbe9-b25237a4d699","resolution":{"observed_at":"2026-08-06T13:39:37.328070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:36.933271Z","title":"” did you miss my comment or what?","venue":null,"work_id":"f06f9b4c-c700-4ca6-a4ee-77080d6f4ae0","year":2022},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.840778Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:5ce302758ef373e1e1f11dcbb2ba8f980513e197b4083ed5823b5454bcd7c8ac","observation_id":"3f813b7f-68ff-4db6-bd2a-eaba3748b877","resolution":{"observed_at":"2026-08-06T13:39:37.071133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:36.637019Z","title":"Motivated and capable but no space for error,","venue":null,"work_id":"0f1dc485-d9ee-460d-aec5-4f3c63b110de","year":2021},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:34.964757Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:a1a65f24519415c4949827af5c5b3dea3769594c09918d5fd54da36b4b1219da","observation_id":"e513704c-1ccd-4266-9dae-0076a3fb04b4","resolution":{"observed_at":"2026-08-06T13:39:36.757371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:39:36.393063Z","title":"Floss as a source for profanity and insults: Collecting the data,","venue":null,"work_id":"f6a56a7c-7b55-4b63-b2c7-58ce0909507b","year":2015},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:35.035991Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:f81b678347f8db06813fe422e9c9509458aff667128c105a8f03043409b7e0df","observation_id":"faa85d18-e77f-45a0-8c4d-a3fc8833a18c","resolution":{"observed_at":"2026-08-06T13:39:36.532653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:39:35.110059Z","title":"Exploring chatgpt for toxicity detection in github,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:35.110059Z"},"links":{"citing_paper":"/paper/2507.20358"},"observation_digest":"sha256:45ca438cf4f36bbd6ed7f36405a5412b08ebad1583d6cb92cbda2092cb52efff","observation_id":"5c5a9fdb-9e6f-4c9a-9f96-889474a1847f","resolution":{"observed_at":"2026-08-06T13:39:35.110059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.20358","last_updated":"2025-07-27T17:11:27Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-06T13:39:29.624496Z","submitted_at":"2025-07-27T17:11:27Z","title":"Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":3,"verified_fuzzy":40},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.20358."}