{"as_of":"2026-08-10T12:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6a139da00a7e279ab85b0da9bcf557071818bd6da857cbc11fdd3affe4760e18","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:21:30.974814Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:51:07.455771Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T13:26:05.425396Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23829","snapshot_observed_at":"2026-08-07T00:51:07.455771Z","title":"arXiv preprint arXiv:2505.23829 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12527","last_updated":"2025-06-14T14:53:25Z","snapshot_observed_at":"2026-08-10T05:28:43.956681Z","submitted_at":"2025-06-14T14:53:25Z","title":"Detection, Classification, and Mitigation of Gender Bias in Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:07.455771Z"},"links":{"cited_paper":"/paper/2505.23829","citing_paper":"/paper/2506.12527"},"observation_digest":"sha256:1ffffc2244dfb90d3be9b240d7e04615f0dd6d4b4e45033d1c58fc407e009933","observation_id":"d88477e0-4849-47b7-a805-6ff5b5c47cbd","resolution":{"observed_at":"2026-08-07T00:51:07.455771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23829","snapshot_observed_at":"2026-08-06T20:45:12.328907Z","title":"Biasfilter: An inference-time debiasing framework for large language models.arXiv preprint arXiv:2505.23829, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01903","last_updated":"2025-08-05T16:19:40Z","snapshot_observed_at":"2026-08-08T04:30:09.801268Z","submitted_at":"2025-07-02T17:19:20Z","title":"AI4Research: A Survey of Artificial Intelligence for Scientific Research","version":2},"reference_index":131,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:12.328907Z"},"links":{"cited_paper":"/paper/2505.23829","citing_paper":"/paper/2507.01903"},"observation_digest":"sha256:ace460bca416882e4615c0a9c22a2a3e338ca8bd6f93d2d4ee03eba7453a8820","observation_id":"9384c392-0b17-451d-b21b-6aedd30e767d","resolution":{"observed_at":"2026-08-06T20:45:12.328907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.23829","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.23829","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cheng, R","venue":null,"work_id":"ca10dcd9-b76b-4fda-b9d6-8ab660a282fa","year":2025},"citing_paper":{"arxiv_id":"2604.19431","last_updated":"2026-04-21T13:00:47Z","snapshot_observed_at":"2026-07-06T23:06:02.635464Z","submitted_at":"2026-04-21T13:00:47Z","title":"Counting Worlds Branching Time Semantics for post-hoc Bias Mitigation in generative AI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T01:42:55.508392Z"},"links":{"cited_paper":"/paper/2505.23829","citing_paper":"/paper/2604.19431"},"observation_digest":"sha256:6d9f4495740697a8a901182835ee625cea2c784f53d49ae3a48fa71190afa2b0","observation_id":"5a3630c4-7065-463a-b2b7-cfac6f7f126d","resolution":{"observed_at":"2026-05-11T13:26:05.428195Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.23829/citation-record","integrity":"/paper/2505.23829/integrity","json":"/paper/2505.23829/citation-record.json","paper":"/paper/2505.23829"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:25.378130Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.378130Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:1d034f0efe735a2ca882353a0233f9497ddec85f38dd2f019c72aefaa5301f0c","observation_id":"c8a75c84-b136-494b-a8c7-5fcf0b53ffa0","resolution":{"observed_at":"2026-08-07T13:21:25.378130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:25.449501Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.449501Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:bcc64d7455b67ee1a9e4b1c5b6c5ac425fdc512de780fb8d22ef571ccfb14566","observation_id":"74f5b60a-fd9b-4532-90be-90f4260c01b8","resolution":{"observed_at":"2026-08-07T13:21:25.449501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T13:21:25.524700Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.524700Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:fbcc347c687a6f9f2eaec88f2608d57b28fbd064ddca9b28079dfdfbbfd85fa7","observation_id":"f0ef2eb4-4fe3-49dd-862b-c0c29e21ef5f","resolution":{"observed_at":"2026-08-07T13:21:25.524700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:25.589742Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.589742Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:224c097782b4ea0779cc6ed581709309b3933a2576c7c80e36388b083aee1276","observation_id":"8a878925-b8a1-4919-9907-0c166850c750","resolution":{"observed_at":"2026-08-07T13:21:25.589742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13928","last_updated":"2024-07-18T22:32:20Z","snapshot_observed_at":"2026-08-09T23:04:33.425796Z","submitted_at":"2024-07-18T22:32:20Z","title":"BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.13928","snapshot_observed_at":"2026-08-07T13:21:25.634350Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.634350Z"},"links":{"cited_paper":"/paper/2407.13928","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:a43991b8fa982d85c1e90f4cae6505edc28778662f00835151090aba2c314683","observation_id":"b179e8a2-fc1f-4f32-9909-31938444c74b","resolution":{"observed_at":"2026-08-07T13:21:25.634350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-07T13:21:25.679692Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.679692Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:72f520a0cbfb351ef1decfe1c6668c1741a5635ea984f8012f3c7f4f1ddf7e7f","observation_id":"2f08ffa1-3bbb-4983-a4f3-160098d505c6","resolution":{"observed_at":"2026-08-07T13:21:25.679692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:25.745559Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.745559Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:69a954227a93140d3bac50211a6922dbd7d973da5c5fee60f0ad0b6a8add88ec","observation_id":"decb7437-b9d2-45ba-8e5e-95c26eaeeffd","resolution":{"observed_at":"2026-08-07T13:21:25.745559Z","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":"2026-08-07T13:21:34.602832Z","title":null,"venue":null,"work_id":"8ca22e61-2aa5-47d7-a604-b6eb32321912","year":2021},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.826149Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:9c8af78cc4a6453d4357cf30695e8eb58aef040d1eacf2671039295f705465c8","observation_id":"91dfb35b-22c8-43d8-b95e-d08ef8393b52","resolution":{"observed_at":"2026-08-07T13:21:34.702701Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-07T13:21:25.910647Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.910647Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:f585bf352394b3e054f663d6175f77e3b392a10f45d0a9d44d5190e40fac6802","observation_id":"42786d0f-c25d-4988-8dba-5a4bb39f5a11","resolution":{"observed_at":"2026-08-07T13:21:25.910647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04240","last_updated":"2025-05-25T08:28:30Z","snapshot_observed_at":"2026-08-10T06:11:44.615964Z","submitted_at":"2025-03-06T09:21:54Z","title":"DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04240","snapshot_observed_at":"2026-08-07T13:21:25.959400Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:25.959400Z"},"links":{"cited_paper":"/paper/2503.04240","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:77fbd9bfe8c8b24e5b8fa833f74e32bf81233d8a892e80318a3323d0c147a762","observation_id":"c461acb4-4a1c-491e-b0df-a75131dfc61f","resolution":{"observed_at":"2026-08-07T13:21:25.959400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10989","last_updated":"2024-05-16T08:11:08Z","snapshot_observed_at":"2026-08-07T05:26:21.502193Z","submitted_at":"2024-05-16T08:11:08Z","title":"Learnable Privacy Neurons Localization in Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10989","snapshot_observed_at":"2026-08-07T13:21:26.012275Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.012275Z"},"links":{"cited_paper":"/paper/2405.10989","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:b984724e38ec528d38d3202f8df739ad84ecedf0838e6e8215b91f398925136a","observation_id":"1ab64218-32fb-4b15-954e-0625fdf20ba5","resolution":{"observed_at":"2026-08-07T13:21:26.012275Z","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":"2026-08-07T13:21:34.399439Z","title":null,"venue":null,"work_id":"7dc4b4cb-2157-4231-bf01-6180d2f69d14","year":2025},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.084303Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:d39c096a3b8d302d4d8e676fc8d6040a0bd238e32301102dcc47dec511ebd264","observation_id":"d3c7df78-6734-4b49-b842-24bf11f52e14","resolution":{"observed_at":"2026-08-07T13:21:34.482305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:21:34.163365Z","title":null,"venue":null,"work_id":"4eedc79d-72f6-467a-9b0e-751f46b07eb3","year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.154169Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:a84882516ad92118039ca82149a671710653768a52c83a2ff7c8956473811939","observation_id":"bdf1be28-ef7a-4e77-88a2-31b7c0d4ba43","resolution":{"observed_at":"2026-08-07T13:21:34.288872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04070","last_updated":"2025-03-13T13:37:57Z","snapshot_observed_at":"2026-08-09T00:40:22.143807Z","submitted_at":"2024-10-05T08:00:55Z","title":"PAD: Personalized Alignment of LLMs at Decoding-Time","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04070","snapshot_observed_at":"2026-08-07T13:21:26.225317Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.225317Z"},"links":{"cited_paper":"/paper/2410.04070","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:bb1f54933b72f6268a37921949e8a8139c4f1d19f7affece96b1bc8d30479eb1","observation_id":"c56455c1-9cb4-41d4-9624-efc76d91db83","resolution":{"observed_at":"2026-08-07T13:21:26.225317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10160","last_updated":"2024-08-16T12:20:22Z","snapshot_observed_at":"2026-08-09T18:10:26.735723Z","submitted_at":"2024-04-15T22:18:50Z","title":"Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10160","snapshot_observed_at":"2026-08-07T13:21:26.267573Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.267573Z"},"links":{"cited_paper":"/paper/2404.10160","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:7fd7f5b31fa9345e8860d0228a813639bdec00025092c5dd6f7edd12ea5d4f4e","observation_id":"6c9c34e7-12b4-48b7-ad9b-1ea84fb7f82d","resolution":{"observed_at":"2026-08-07T13:21:26.267573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04140","last_updated":"2023-06-07T04:27:09Z","snapshot_observed_at":"2026-08-04T18:50:11.343827Z","submitted_at":"2023-06-07T04:27:09Z","title":"Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04140","snapshot_observed_at":"2026-08-07T13:21:26.331281Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.331281Z"},"links":{"cited_paper":"/paper/2306.04140","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:806bb7d826c34519c677628195d0ade1b946fa97c9b33ffa28c55caf78fe6ec6","observation_id":"feb87ca6-dca0-48e0-b56d-b7139f33f997","resolution":{"observed_at":"2026-08-07T13:21:26.331281Z","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":"2026-08-07T13:21:33.920733Z","title":null,"venue":null,"work_id":"fb8e5473-ffc1-4378-bfbc-464e8e3abfeb","year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.392886Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:f465e6d9157ba97e15c99d835491cbe79333ec607d40d57b243c26309be6bb9b","observation_id":"bda7a5e3-5e3e-4b08-821d-b272c5218ced","resolution":{"observed_at":"2026-08-07T13:21:34.031993Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12420","last_updated":"2024-05-05T13:13:02Z","snapshot_observed_at":"2026-07-06T15:45:13.905037Z","submitted_at":"2023-06-21T17:58:25Z","title":"LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12420","snapshot_observed_at":"2026-08-07T13:21:26.487728Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.487728Z"},"links":{"cited_paper":"/paper/2306.12420","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:5f5a008c6bbfc7cf6ecadc9161e429c3b4197055dd06c3eb087f7d2166e06a3b","observation_id":"b7cd108c-ddff-4e4b-b8bf-87b8520b8174","resolution":{"observed_at":"2026-08-07T13:21:26.487728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12942","last_updated":"2024-08-30T07:30:13Z","snapshot_observed_at":"2026-07-06T19:05:01.441824Z","submitted_at":"2024-08-23T09:46:15Z","title":"Causal-Guided Active Learning for Debiasing Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12942","snapshot_observed_at":"2026-08-07T13:21:26.593118Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.593118Z"},"links":{"cited_paper":"/paper/2408.12942","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:75f315f6ff464738458ecd74bcd6cc1763e44d66389c8f01a4fb85351997b1a7","observation_id":"ce8c74b8-f755-4ebe-9abf-d07feafdef2b","resolution":{"observed_at":"2026-08-07T13:21:26.593118Z","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":"2026-08-07T13:21:33.672294Z","title":null,"venue":null,"work_id":"7ee62103-9705-41ba-94c7-e1116831b818","year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.708426Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:0c3315d46f19cf083c31052cf2d6aa6e6b619d614b30e15e423020da11e36feb","observation_id":"4f289a8e-7232-4d0f-b271-792351b55f33","resolution":{"observed_at":"2026-08-07T13:21:33.800730Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00198","last_updated":"2024-03-01T00:02:37Z","snapshot_observed_at":"2026-07-06T17:37:48.299877Z","submitted_at":"2024-03-01T00:02:37Z","title":"AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00198","snapshot_observed_at":"2026-08-07T13:21:26.777957Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.777957Z"},"links":{"cited_paper":"/paper/2403.00198","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:a44f14fc5bfa4c09093e116731c47e14d1860c5da4cb0cb2dc3fab27659ecb1a","observation_id":"ae57e22f-394f-4446-ab0d-adbd62a55e91","resolution":{"observed_at":"2026-08-07T13:21:26.777957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00811","last_updated":"2024-10-03T21:07:09Z","snapshot_observed_at":"2026-08-08T08:46:33.573522Z","submitted_at":"2024-02-25T02:35:56Z","title":"Cognitive Bias in Decision-Making with LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00811","snapshot_observed_at":"2026-08-07T13:21:26.852885Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.852885Z"},"links":{"cited_paper":"/paper/2403.00811","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:027fd687c09344d67229ef09d37b8d3cf0c5148be9e7b4161c80c03af6a80947","observation_id":"e44de5ea-b1d5-4e97-8d56-688cbfecb5a4","resolution":{"observed_at":"2026-08-07T13:21:26.852885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19317","last_updated":"2025-06-10T07:47:40Z","snapshot_observed_at":"2026-08-03T16:35:28.021243Z","submitted_at":"2024-10-25T06:06:31Z","title":"FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19317","snapshot_observed_at":"2026-08-07T13:21:26.943669Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:26.943669Z"},"links":{"cited_paper":"/paper/2410.19317","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:a593f35e93d4cb731ddb2cc1f15a7cc05201390426bf7b39f1b49954dd7d4d22","observation_id":"98acf9de-b27f-4b09-9686-0fcdcff63987","resolution":{"observed_at":"2026-08-07T13:21:26.943669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.21299","last_updated":"2025-06-10T07:54:40Z","snapshot_observed_at":"2026-08-07T15:58:14.484750Z","submitted_at":"2025-04-30T04:13:03Z","title":"BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.21299","snapshot_observed_at":"2026-08-07T13:21:27.079925Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.079925Z"},"links":{"cited_paper":"/paper/2504.21299","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:48cb9542afe8145d2b36fc3555459ab2f12ffdc2cdb0841e48b54f832feacbec","observation_id":"cf98f440-eb80-451e-9c52-27b4a290b53c","resolution":{"observed_at":"2026-08-07T13:21:27.079925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10241","last_updated":"2024-07-20T15:59:46Z","snapshot_observed_at":"2026-08-10T09:07:37.446352Z","submitted_at":"2024-07-14T15:17:02Z","title":"BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10241","snapshot_observed_at":"2026-08-07T13:21:27.195295Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.195295Z"},"links":{"cited_paper":"/paper/2407.10241","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:322a5fe8d78d8c0ab02be4c1404d77b77bb0328db0cf6ba200476140e9a0812d","observation_id":"3a52135e-21d9-4ea9-b8ea-dcff6f17f065","resolution":{"observed_at":"2026-08-07T13:21:27.195295Z","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":"2026-08-07T13:21:33.497849Z","title":null,"venue":null,"work_id":"e30cabad-8d80-4b44-aa67-102b7551b5b8","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.315459Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:dc8068ce105d1252017eb30e26fd1b2bcc136712f8665e92d24f045c0f281b3d","observation_id":"4ef0d8e5-1c7d-41b4-9aea-ee2aec54ff63","resolution":{"observed_at":"2026-08-07T13:21:33.585568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01981","last_updated":"2024-02-03T01:40:11Z","snapshot_observed_at":"2026-08-09T21:41:06.778772Z","submitted_at":"2024-02-03T01:40:11Z","title":"Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01981","snapshot_observed_at":"2026-08-07T13:21:27.450483Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.450483Z"},"links":{"cited_paper":"/paper/2402.01981","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:e1957ab3bb880256205fcdbbfb6867b33a9b2e350ad101b97f352c657c25ceb7","observation_id":"47103d12-cdf2-4121-adfe-e98c219abbb5","resolution":{"observed_at":"2026-08-07T13:21:27.450483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:27.569623Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.569623Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:09fc05a94712ae33a4cdc81ced7191cda353cb75366d877bc770ebf9fd53429e","observation_id":"6d95bc6e-1d66-4807-b82f-90eae51f8954","resolution":{"observed_at":"2026-08-07T13:21:27.569623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:27.669800Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.669800Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:2a4bf2fe2645ebaa30ffec961ffa13981f41ca31d919d222a188bec1742fd3a1","observation_id":"145af0d4-53a8-4a28-96da-ce94cfefb8fc","resolution":{"observed_at":"2026-08-07T13:21:27.669800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10915","last_updated":"2026-05-01T02:07:46Z","snapshot_observed_at":"2026-07-06T19:51:28.494860Z","submitted_at":"2024-11-16T23:54:53Z","title":"Bias in Large Language Models: Origin, Evaluation, and Mitigation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10915","snapshot_observed_at":"2026-08-07T13:21:27.836807Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.836807Z"},"links":{"cited_paper":"/paper/2411.10915","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:73f34eb76a0146ef53a3c4b87286a0f7bff8e183d4d54d679a464a119052d5f5","observation_id":"71d032ec-7964-442d-9c6a-eb228e9fede2","resolution":{"observed_at":"2026-08-07T13:21:27.836807Z","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":"2026-08-07T13:21:33.313640Z","title":null,"venue":null,"work_id":"80f0e6f4-75eb-4dad-a12f-9053f906a992","year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:27.932991Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:731536c4f28eb989268bc16b036a6ee03547ffcca75b1c9b089479399288d4aa","observation_id":"1252f2f1-a033-494a-b0eb-c4d8e2985d06","resolution":{"observed_at":"2026-08-07T13:21:33.386877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:21:28.017758Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.017758Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:b05fdda997fc6129e22c45bff28283dbb4fbc2f5ea99dd7981ccb51c3165c4cd","observation_id":"3a8bc319-ab6d-4438-a355-d4507a67135f","resolution":{"observed_at":"2026-08-07T13:21:28.017758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14345","last_updated":"2025-03-21T06:36:33Z","snapshot_observed_at":"2026-08-05T00:49:05.241292Z","submitted_at":"2023-09-03T07:14:49Z","title":"Bias Testing and Mitigation in LLM-based Code Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14345","snapshot_observed_at":"2026-08-07T13:21:28.110946Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.110946Z"},"links":{"cited_paper":"/paper/2309.14345","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:0001e6f1f0b380dbc8c3cd78f930cb093f1e1ea5b769a1a0e880c70a7032f88c","observation_id":"e1764c64-35e9-4050-9976-25857e369d80","resolution":{"observed_at":"2026-08-07T13:21:28.110946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-08-07T13:21:28.196073Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.196073Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:d8f8ceb80a8f18a28af58908bd9a349ec0838b6596486429489f4697c0091b2f","observation_id":"22f3fd97-92ae-4371-aa79-eb530673f77e","resolution":{"observed_at":"2026-08-07T13:21:28.196073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15585","last_updated":"2024-01-28T06:50:10Z","snapshot_observed_at":"2026-08-04T20:46:47.002631Z","submitted_at":"2024-01-28T06:50:10Z","title":"Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15585","snapshot_observed_at":"2026-08-07T13:21:28.290044Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.290044Z"},"links":{"cited_paper":"/paper/2401.15585","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:dc81fa6a91062e1e4f5c3e691096607074047e96ccf9ba094df1c252d5022df1","observation_id":"38e4e138-40cb-4a08-b72c-c7af3ca6a78e","resolution":{"observed_at":"2026-08-07T13:21:28.290044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01694","last_updated":"2024-01-23T23:42:41Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-01-23T23:42:41Z","title":"ARGS: Alignment as Reward-Guided Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01694","snapshot_observed_at":"2026-08-07T13:21:28.390947Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.390947Z"},"links":{"cited_paper":"/paper/2402.01694","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:db297cf98d024c865334bcddc4c2c8f3b156421e94b3a04bdc4bfe3e5f494c10","observation_id":"9eabd63f-8d6d-4fa7-a945-faa52e58f4af","resolution":{"observed_at":"2026-08-07T13:21:28.390947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10938","last_updated":"2022-12-21T11:25:41Z","snapshot_observed_at":"2026-08-02T19:28:50.549225Z","submitted_at":"2022-12-21T11:25:41Z","title":"Critic-Guided Decoding for Controlled Text Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10938","snapshot_observed_at":"2026-08-07T13:21:28.487289Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.487289Z"},"links":{"cited_paper":"/paper/2212.10938","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:1ee46321cb1592847b4eec8e976ed78fa8e9b9a25058009372fc9e74364a1ca6","observation_id":"00a2076a-7aef-400e-a8b3-201776ba9837","resolution":{"observed_at":"2026-08-07T13:21:28.487289Z","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":"2026-08-07T13:21:33.145612Z","title":null,"venue":null,"work_id":"2fc751aa-f1af-4b81-adf9-8e0efa44cfff","year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.590433Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:e34bf01ac909e9c7c716dda1a21e1d9dc6908d38e71545e3509512179682282c","observation_id":"37ce138e-66cd-4928-af5b-9477f88b6b6f","resolution":{"observed_at":"2026-08-07T13:21:33.239289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.00267","last_updated":"2024-09-03T14:01:54Z","snapshot_observed_at":"2026-07-06T16:13:07.384791Z","submitted_at":"2023-09-01T05:53:33Z","title":"RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.00267","snapshot_observed_at":"2026-08-07T13:21:28.690027Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.690027Z"},"links":{"cited_paper":"/paper/2309.00267","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:0452e72350eb7169c8a3c57683e7e9ad243db39d269b7aa0432448471e10681e","observation_id":"1c769f0b-9a87-4a6b-9c13-2f5d28182ab8","resolution":{"observed_at":"2026-08-07T13:21:28.690027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.13461","last_updated":"2019-10-29T18:01:00Z","snapshot_observed_at":"2026-07-06T08:33:12.534026Z","submitted_at":"2019-10-29T18:01:00Z","title":"BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.13461","snapshot_observed_at":"2026-08-07T13:21:28.802962Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.802962Z"},"links":{"cited_paper":"/paper/1910.13461","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:8d2e8bf5ce78002f81b79229323acbeaf92f13a24897cf85ebe2d46bcc53ccc9","observation_id":"28fb5a1d-c253-44cb-9b56-a0130eb06b25","resolution":{"observed_at":"2026-08-07T13:21:28.802962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08743","last_updated":"2025-03-02T17:33:03Z","snapshot_observed_at":"2026-08-09T06:39:01.177429Z","submitted_at":"2024-03-13T17:46:28Z","title":"Prompting Fairness: Integrating Causality to Debias Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08743","snapshot_observed_at":"2026-08-07T13:21:28.923669Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:28.923669Z"},"links":{"cited_paper":"/paper/2403.08743","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:a78cdceb2cd93e6d57e94482fe4901e41bfeaae99be11080fd5ad70b07c1cabf","observation_id":"82ad73b6-93f1-4aa3-9671-7436281d87fa","resolution":{"observed_at":"2026-08-07T13:21:28.923669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.03055","last_updated":"2016-06-10T22:03:28Z","snapshot_observed_at":"2026-07-06T04:32:42.614338Z","submitted_at":"2015-10-11T14:04:57Z","title":"A Diversity-Promoting Objective Function for Neural Conversation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.03055","snapshot_observed_at":"2026-08-07T13:21:29.017868Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.017868Z"},"links":{"cited_paper":"/paper/1510.03055","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:cdb127233793499f5aafc000cddf3aa50e0113c0ac36bacb123977080ad24637","observation_id":"cf0a61ec-598c-476d-8bd3-55428674014f","resolution":{"observed_at":"2026-08-07T13:21:29.017868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14492","last_updated":"2025-07-05T16:08:29Z","snapshot_observed_at":"2026-08-07T16:00:50.380096Z","submitted_at":"2025-04-20T04:57:00Z","title":"FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.14492","snapshot_observed_at":"2026-08-07T13:21:29.077373Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.077373Z"},"links":{"cited_paper":"/paper/2504.14492","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:4223d9da302c09956c56a9f6d0ac3d51a17a813bf8e0e2eca533537cc274c50e","observation_id":"285fd62e-05cf-450c-957e-e1a73c13d77d","resolution":{"observed_at":"2026-08-07T13:21:29.077373Z","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":"2026-08-07T13:21:32.928582Z","title":null,"venue":null,"work_id":"dfd53ab6-9373-47e4-9b6c-d806ffeb33c0","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.173482Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:91e05523efe7bc2d305e0f9c9af4c24390797ca2a2be8bf06bd99670e0fa58c3","observation_id":"59189a1c-6d87-46aa-be15-7e247507072d","resolution":{"observed_at":"2026-08-07T13:21:33.043993Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:21:32.736169Z","title":null,"venue":null,"work_id":"2170ab4c-ee8a-44eb-8221-84ca185de08d","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.291604Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:b03353920226c3116b5c0e42d3378185c6e23a80e5a3a99eedc90721c5607702","observation_id":"ae3f8895-ff9f-4abd-9cf1-79828459c648","resolution":{"observed_at":"2026-08-07T13:21:32.792885Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12018","last_updated":"2023-05-19T22:02:55Z","snapshot_observed_at":"2026-08-04T08:35:23.714181Z","submitted_at":"2023-05-19T22:02:55Z","title":"BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12018","snapshot_observed_at":"2026-08-07T13:21:29.379913Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.379913Z"},"links":{"cited_paper":"/paper/2305.12018","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:3bc4400d93a52f19d87adf616858fda66c82e9539c3a37c3d4950bc9e33c98a9","observation_id":"21d25722-fd7a-4dc6-832d-c5b0df8bcf45","resolution":{"observed_at":"2026-08-07T13:21:29.379913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16634","last_updated":"2023-05-23T22:12:16Z","snapshot_observed_at":"2026-08-02T04:02:36.848064Z","submitted_at":"2023-03-29T12:46:54Z","title":"G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16634","snapshot_observed_at":"2026-08-07T13:21:29.447258Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.447258Z"},"links":{"cited_paper":"/paper/2303.16634","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:18245e3675df3d4aa61a347f510e9f5f81b63295278d464b43feb4eda8c0fd02","observation_id":"b82e1194-b473-4c98-8e46-73669674da77","resolution":{"observed_at":"2026-08-07T13:21:29.447258Z","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":"2026-08-07T13:21:32.593010Z","title":null,"venue":null,"work_id":"fb446228-9609-446f-b884-d8391bf5fcff","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.522251Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:67ff848f87f6f8f102ab3ece810824fca665cf10b3a135260d0f26f5c9cee83c","observation_id":"9f19fe32-2eac-4ecd-b97a-ce7bbefe40eb","resolution":{"observed_at":"2026-08-07T13:21:32.663677Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00871","last_updated":"2023-10-22T19:28:24Z","snapshot_observed_at":"2026-07-06T14:47:30.906709Z","submitted_at":"2023-02-02T04:46:03Z","title":"Using In-Context Learning to Improve Dialogue Safety","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.00871","snapshot_observed_at":"2026-08-07T13:21:29.585353Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.585353Z"},"links":{"cited_paper":"/paper/2302.00871","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:0240fdfc3fdae4c136f74d9d6a094cbd5e9d7b6677bbbec29e771b9139b090c1","observation_id":"6322344a-c291-458e-a4f9-f863ed1862a1","resolution":{"observed_at":"2026-08-07T13:21:29.585353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:29.648628Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.648628Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:b8c2230d4fd3b594d66eac080b26843b59cc84341b7a4df8ea99a278d7e7e00d","observation_id":"83cb21bd-23e1-47b7-b18c-b59bbee95e19","resolution":{"observed_at":"2026-08-07T13:21:29.648628Z","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":"2026-08-07T13:21:32.434744Z","title":null,"venue":null,"work_id":"fe9b4d9a-8f85-4a81-9a7e-fe387f19c64b","year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.732500Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:e5c1922036aeee98696902a4118a2d63cef899c298456139536313b8a3ca9d24","observation_id":"c2d7db6f-a33a-415c-a629-242e32a6732c","resolution":{"observed_at":"2026-08-07T13:21:32.508887Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:21:29.820753Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.820753Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:fe8e0a000fc6be31dc27d4c5a4744821b8541cc0da1b2dc7ee30515ac4a02ee7","observation_id":"7bfee07c-62a3-4754-9dd7-eefcf7ffa760","resolution":{"observed_at":"2026-08-07T13:21:29.820753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16033","last_updated":"2025-09-03T03:41:08Z","snapshot_observed_at":"2026-08-10T08:34:28.320325Z","submitted_at":"2024-10-18T04:38:21Z","title":"TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16033","snapshot_observed_at":"2026-08-07T13:21:29.888336Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.888336Z"},"links":{"cited_paper":"/paper/2410.16033","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:eca752f6e9c53e11a74df254eb00137ee3439243ea40f0488783794df6fc778c","observation_id":"1ba48adb-fbe7-4abb-8354-cbc80fb8479f","resolution":{"observed_at":"2026-08-07T13:21:29.888336Z","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":"2026-08-07T13:21:32.263039Z","title":null,"venue":null,"work_id":"7c2b55d6-3b1b-4241-89c9-901a9279a45d","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:29.992819Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:bf603c1877fd1df3123d9da7986272447a8dd3c5b08f82b647f4631a385b2fbc","observation_id":"92401eff-5409-4380-8bc2-225b9c19e699","resolution":{"observed_at":"2026-08-07T13:21:32.336397Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12358","last_updated":"2024-08-12T21:13:35Z","snapshot_observed_at":"2026-07-06T18:02:19.428801Z","submitted_at":"2024-04-18T17:37:02Z","title":"From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12358","snapshot_observed_at":"2026-08-07T13:21:30.105495Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.105495Z"},"links":{"cited_paper":"/paper/2404.12358","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:2a2d19ad06af6ae10ac8a922a9f3bdd384089a5ced0d414f55c2114cfa217cd9","observation_id":"9e76de92-3e7b-4f5b-a514-195f4217f271","resolution":{"observed_at":"2026-08-07T13:21:30.105495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:30.175702Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.175702Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:8c76f256c431c620a3f121b777f3a0ef6c6e6cd7d3c9bf2f513694b89f55c0d6","observation_id":"44ba3adb-49c1-45c6-91ae-ada46e6e8e6d","resolution":{"observed_at":"2026-08-07T13:21:30.175702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.07429","last_updated":"2022-03-17T10:18:39Z","snapshot_observed_at":"2026-08-09T09:47:57.820367Z","submitted_at":"2021-04-15T12:53:30Z","title":"First the worst: Finding better gender translations during beam search","version":2},"cited_work":{"arxiv_id":"2104.07429","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.07429","snapshot_observed_at":"2026-08-07T13:21:31.451229Z","title":"First the worst: Finding better gender translations during beam search","venue":"cs.CL","work_id":"6299b87e-9a97-45a6-b407-fdc4c65ca905","year":2021},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.239056Z"},"links":{"cited_paper":"/paper/2104.07429","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:4db2a587025ae6ab4e319ed073acb6568abb1ee2fe2cedd7d3d845f64675cf1d","observation_id":"70f80991-4729-49b7-943b-4583de9af898","resolution":{"observed_at":"2026-08-07T13:21:31.507193Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:21:32.096527Z","title":null,"venue":null,"work_id":"291a8ad5-05f5-4444-a6cc-1279865032bc","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.291699Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:53c520a7872b7e452e88650b611ff61fc57020d19fa22a32e6113a2406cb36f6","observation_id":"c3d7a9c2-97d0-4c4c-aa00-06280186fa40","resolution":{"observed_at":"2026-08-07T13:21:32.173074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.09209","last_updated":"2022-10-27T21:02:24Z","snapshot_observed_at":"2026-07-06T13:11:22.444698Z","submitted_at":"2022-05-18T20:37:25Z","title":"\"I'm sorry to hear that\": Finding New Biases in Language Models with a Holistic Descriptor Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.09209","snapshot_observed_at":"2026-08-07T13:21:30.331230Z","title":"i'm sorry to hear that","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.331230Z"},"links":{"cited_paper":"/paper/2205.09209","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:46f9c2233128ef49adb6278be2e0894041ce238aa714800d124974e465a7b1ca","observation_id":"286f0e3e-477e-4bea-acd5-6f82f4934040","resolution":{"observed_at":"2026-08-07T13:21:30.331230Z","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":"2412.01711","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:31.321740Z","title":null,"venue":null,"work_id":"a8c1a647-0129-4989-8e28-a135461f3e8c","year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.381311Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:e525a8df0f7027a94fd873f62af1c757852929a3207496a986dd1bba7cc0a6a7","observation_id":"625f043d-e42b-4421-b9ee-48b5fa2e4206","resolution":{"observed_at":"2026-08-07T13:21:31.360459Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:21:30.510814Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.510814Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:c7d3479931ef80f951cbf02baa228dcae629f3fd14352810b981d28d81861d4e","observation_id":"66ab6066-442f-4555-aae6-b5fc6873d00a","resolution":{"observed_at":"2026-08-07T13:21:30.510814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:21:30.588755Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.588755Z"},"links":{"citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:0c569d1acc187249addfcc9f268d0f301528f9f157593908dceec54a5571ecdc","observation_id":"766c9a08-63a6-468e-8008-95a88436068a","resolution":{"observed_at":"2026-08-07T13:21:30.588755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02408","last_updated":"2025-02-22T02:44:54Z","snapshot_observed_at":"2026-08-08T13:39:06.883624Z","submitted_at":"2024-07-02T16:31:37Z","title":"CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02408","snapshot_observed_at":"2026-08-07T13:21:30.648740Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.648740Z"},"links":{"cited_paper":"/paper/2407.02408","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:60433b71596c51bec755715cd1934dcf3dcb5dd1b8aed1593577ddc0144ebaad","observation_id":"fe48586a-e370-49c1-95e1-1fa269d76ea8","resolution":{"observed_at":"2026-08-07T13:21:30.648740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-07T13:21:30.743489Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.743489Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:cc34984230d7da94cc8cd6d2de7454bce9ab7c8bb0fcddfae155d15479621911","observation_id":"ab79fad6-778f-4c53-a119-e5851bc7b0cd","resolution":{"observed_at":"2026-08-07T13:21:30.743489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02738","last_updated":"2024-12-17T16:10:26Z","snapshot_observed_at":"2026-08-02T15:35:19.001805Z","submitted_at":"2024-03-05T07:47:34Z","title":"Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02738","snapshot_observed_at":"2026-08-07T13:21:30.835186Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.835186Z"},"links":{"cited_paper":"/paper/2403.02738","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:66af306aec1ff649f637031c646177f522d0f39b807a6bc850ed75a607d135be","observation_id":"cc5ff2f0-c8ef-4dbc-bd49-248ac9cae609","resolution":{"observed_at":"2026-08-07T13:21:30.835186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02009","last_updated":"2024-06-06T18:46:03Z","snapshot_observed_at":"2026-08-10T06:50:01.505735Z","submitted_at":"2024-01-04T00:32:33Z","title":"Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02009","snapshot_observed_at":"2026-08-07T13:21:30.909825Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.909825Z"},"links":{"cited_paper":"/paper/2401.02009","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:d530812215b83b21cd3d3c8f992e6df2109239bce5dbf5f113cb77dce6017df5","observation_id":"19ebb006-e4c0-418a-96f5-5c6b4859b1e7","resolution":{"observed_at":"2026-08-07T13:21:30.909825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12663","last_updated":"2025-06-11T07:31:37Z","snapshot_observed_at":"2026-08-07T16:01:35.922422Z","submitted_at":"2025-04-17T05:50:13Z","title":"Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.12663","snapshot_observed_at":"2026-08-07T13:21:30.974814Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T13:21:30.974814Z"},"links":{"cited_paper":"/paper/2504.12663","citing_paper":"/paper/2505.23829"},"observation_digest":"sha256:5585f1df546217edfe63323e8d87e55fe0ea2e626d78069448e39f0c7afd6804","observation_id":"38143ad2-963d-4287-9cd8-2b7735f4b77a","resolution":{"observed_at":"2026-08-07T13:21:30.974814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.23829","last_updated":"2025-05-28T08:09:10Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T06:22:27.102400Z","submitted_at":"2025-05-28T08:09:10Z","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":65,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":67},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 3 inbound Pith citation observations for arXiv:2505.23829."}