{"as_of":"2026-08-09T12:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a56d779a5578d1ed53f4e82e43d552bae5ddaccb942aa9801b7dc0cdb37370f","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:41:46.129598Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.04693/citation-record","integrity":"/paper/2506.04693/integrity","json":"/paper/2506.04693/citation-record.json","paper":"/paper/2506.04693"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.316870Z","title":"In Chinese datasets, speakers often use the initial letters of Chinese pinyin for abbreviations","venue":null,"work_id":"13698602-6a80-43d6-ab7b-57dc2ec8fb1b","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.102304Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:104f800f99565e2f980a66111528776845b1e3345ce34061edce0e3c62daff43","observation_id":"27c11d75-09d3-4500-a889-b9295715c8fb","resolution":{"observed_at":"2026-08-07T10:41:46.320914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.307523Z","title":"Speakers liken a certain group to animals or describe a group or object using animal behav- ior, or they may use specific things or events to describe a group or object","venue":null,"work_id":"f390fd58-b73c-4004-b076-88404abe4db0","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.106037Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:37c5b9a0ab85392f3f492a792f05b95c2f55c85654c5945a33c25f5324696682","observation_id":"231fd26b-7aa1-495e-b2eb-68dbb81789ed","resolution":{"observed_at":"2026-08-07T10:41:46.310908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.298060Z","title":null,"venue":null,"work_id":"eae47432-3a0f-4324-a3e1-572c7186101e","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.109529Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:5669f34712011d31c4c614ca0809fb9260b687edc66a0164cb349a45db933b02","observation_id":"487726b1-7664-4eb8-a556-cc1e3cd2e8ab","resolution":{"observed_at":"2026-08-07T10:41:46.301633Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.288027Z","title":"Examples: •艾呀，梅 关系，不会疣 事的，概率 为淋。疣其湿没有尖锐的问题就更不 担心啦，你要照顾好滋己呀，不要经 常去疱吧了，找个斑上吧，疹心的。 Oh dear, don’t worry, everything will be fine, the probability is zero","venue":null,"work_id":"e482745f-de3d-48e6-8549-d154c65f3af4","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.113088Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:c2309d4f86a19471a4a95bd27935cca5045c779c4fb700a930e98638aac4465c","observation_id":"2cda885f-b876-4d56-a149-ed9f04cd997d","resolution":{"observed_at":"2026-08-07T10:41:46.292327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.326873Z","title":"InTENCON 2022- 2022 IEEE Region 10 Conference (TENCON), pages 1–4","venue":null,"work_id":"9ba26196-7aae-4a16-958b-e79aa188271e","year":2022},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.088037Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:e9efc72503cf08cacbb03f98f8b0aecd1546e316bbd11a1666c1bbd1777798c2","observation_id":"f1242c3a-633b-450c-9d69-bbf3f8add63f","resolution":{"observed_at":"2026-08-07T10:41:46.330092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13942","last_updated":"2024-06-03T03:43:44Z","snapshot_observed_at":"2026-07-06T18:48:46.032977Z","submitted_at":"2024-06-03T03:43:44Z","title":"Harmful Suicide Content Detection","version":1},"cited_work":{"arxiv_id":"2407.13942","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.13942","snapshot_observed_at":"2026-08-07T10:41:46.184606Z","title":"Harmful Suicide Content Detection","venue":"cs.CY","work_id":"0017171a-9981-418e-81a2-16ec53985751","year":2024},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.091219Z"},"links":{"cited_paper":"/paper/2407.13942","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:d285e9f633c6230c42b9c46eec74152c3e4436c0f9437278555a1aaed335484e","observation_id":"d11f9b39-f322-4e43-9a51-12708a4ddc5c","resolution":{"observed_at":"2026-08-07T10:41:46.189209Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-07T10:41:46.095438Z","title":"In2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 139–146","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.095438Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:edd32afef8a8d3b06399b64b6b277b462749112d761a5717f2a7fc1b13b57b00","observation_id":"70e1f11f-5703-48d8-8750-5af9ba1fb3e2","resolution":{"observed_at":"2026-08-07T10:41:46.095438Z","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":"2026-08-07T10:41:46.259025Z","title":"For example, The character ‘默’(silence) is composed of ‘ 黑’ (black) + ‘犬’ (dog), which is used to mock black peo- ple","venue":null,"work_id":"b9a2303b-5c91-4407-8ec4-05dc890e6ed5","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.123296Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:f13a0af16b96023539c6f125889ff9070b71171dd9bdae9b384e2cc555f7b209","observation_id":"a331aef0-4d19-4abe-8d82-33d102492663","resolution":{"observed_at":"2026-08-07T10:41:46.262463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.250289Z","title":null,"venue":null,"work_id":"87b8d8ab-0c5a-41fc-8c3f-440e3ccacc76","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.126502Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:259a054139600d5ef04dadde127d41f26b28d45866cedbd791c5705d558fc389","observation_id":"379c884f-de82-4949-9878-ed73553b0d13","resolution":{"observed_at":"2026-08-07T10:41:46.253184Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.240151Z","title":"This answer may be explicit or implicit","venue":null,"work_id":"4c4cb2f6-3824-483d-80cc-f5748b3feb20","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.129598Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:024f191c32f554da132a3db6ee0b5aa3eb2e1b7dfe8068acab4e045564e10f46","observation_id":"5f77b10c-2718-4750-a23c-6a4092734c96","resolution":{"observed_at":"2026-08-07T10:41:46.244016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.278931Z","title":"For instance, 基佬(gay) originally appeared as a dialect in the Guangdong region","venue":null,"work_id":"1e580255-ee14-43b6-9542-f9115e76ab58","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.116418Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:8f867ebaa0489757930ec1ec17e44202ab5513313f73f6b152028b567a3d1a9d","observation_id":"bdc46f20-3eb8-4e6f-84f4-f6529d9d0146","resolution":{"observed_at":"2026-08-07T10:41:46.282359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:46.268720Z","title":"Generally, loanwords do not in- clude translated words but refer to words that are absorbed with both sound and meaning","venue":null,"work_id":"2d3a8129-ef62-4aac-b632-bd194aadfbf1","year":null},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.119817Z"},"links":{"citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:b3901f2f2d559433a72d0cecb87af1957950e3e3fc15f2c7db25923e444cce1a","observation_id":"293d46f8-8ef1-4d60-8857-1f7653e7f4a7","resolution":{"observed_at":"2026-08-07T10:41:46.272699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09402","last_updated":"2023-03-01T17:24:15Z","snapshot_observed_at":"2026-07-06T15:04:15.636270Z","submitted_at":"2023-03-01T17:24:15Z","title":"ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09402","snapshot_observed_at":"2026-08-07T10:41:46.079399Z","title":"InProceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 774–782, Taipei, Taiwan","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.079399Z"},"links":{"cited_paper":"/paper/2303.09402","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:3a0dce984b3a84f32cbabe9a40b8121d279c411eb48fa82a2dc0b2c20f229ada","observation_id":"e9fa2b98-a073-4e00-9be1-4e5733701dcb","resolution":{"observed_at":"2026-08-07T10:41:46.079399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06900","last_updated":"2024-08-13T13:50:49Z","snapshot_observed_at":"2026-07-06T19:00:09.034268Z","submitted_at":"2024-08-13T13:50:49Z","title":"Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media","version":1},"cited_work":{"arxiv_id":"2408.06900","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.06900","snapshot_observed_at":"2026-08-07T10:41:46.156939Z","title":"Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media","venue":"cs.CY","work_id":"ed55c058-7615-47e3-834c-05e11badc1fd","year":2024},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.098809Z"},"links":{"cited_paper":"/paper/2408.06900","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:c83de086959897161fea6bea8bae4068b21b3e28ee105d37a2db75e999785606","observation_id":"9fc16026-ac01-4910-84fe-9b04f779dda5","resolution":{"observed_at":"2026-08-07T10:41:46.162540Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.13420","last_updated":"2022-10-24T17:36:58Z","snapshot_observed_at":"2026-08-03T18:20:39.786668Z","submitted_at":"2022-10-24T17:36:58Z","title":"Twitter Users' Behavioral Response to Toxic Replies","version":1},"cited_work":{"arxiv_id":"2210.13420","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.13420","snapshot_observed_at":"2026-08-07T10:41:46.229806Z","title":"Twitter Users' Behavioral Response to Toxic Replies","venue":"cs.SI","work_id":"eb2132f1-99df-4b76-9500-e3c7a8ecc883","year":2022},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.071903Z"},"links":{"cited_paper":"/paper/2210.13420","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:16973a2810db853acf9abb5c49e27c9dd1d80c8865e398575496bcf2dee5d1ef","observation_id":"4496ac46-75ae-4d43-a1da-6cd7ebcab1fb","resolution":{"observed_at":"2026-08-07T10:41:46.233820Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.12935","last_updated":"2023-07-24T16:55:37Z","snapshot_observed_at":"2026-07-06T15:57:57.167169Z","submitted_at":"2023-07-24T16:55:37Z","title":"Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection","version":1},"cited_work":{"arxiv_id":"2307.12935","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.12935","snapshot_observed_at":"2026-08-07T10:41:46.217143Z","title":"Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection","venue":"cs.CL","work_id":"cfbc1e02-4c79-45ed-a5d4-2a8eb06abe5e","year":2023},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.075919Z"},"links":{"cited_paper":"/paper/2307.12935","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:0338249f388fbe73baf3af39b20e19d1965f235dfa75277e78aa13f2803b1a50","observation_id":"36e5539a-bf9a-4b51-b6a6-1cee77c14e4c","resolution":{"observed_at":"2026-08-07T10:41:46.220590Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05650","last_updated":"2024-12-28T11:50:15Z","snapshot_observed_at":"2026-07-06T16:29:47.919377Z","submitted_at":"2023-10-09T12:01:26Z","title":"ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05650","snapshot_observed_at":"2026-08-07T10:41:46.083338Z","title":"Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:46.083338Z"},"links":{"cited_paper":"/paper/2310.05650","citing_paper":"/paper/2506.04693"},"observation_digest":"sha256:8ea8d9324af39a6150bfce87003147767be1b6fbae3667f014c8aaa02857666c","observation_id":"40785042-7f9a-4868-a498-bcb0239bead5","resolution":{"observed_at":"2026-08-07T10:41:46.083338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.04693","last_updated":"2025-06-05T07:15:21Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T10:32:52.526470Z","submitted_at":"2025-06-05T07:15:21Z","title":"Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":17},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.04693."}