{"as_of":"2026-08-20T14:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:55d33d69f001656c2bfce4d66b6dbb76f0d409ae02f6c0c8482897cee4e2a764","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T11:02:29.376817Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2501.16751/citation-record","integrity":"/paper/2501.16751/integrity","json":"/paper/2501.16751/citation-record.json","paper":"/paper/2501.16751"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.12966","last_updated":"2023-10-13T02:41:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-24T17:59:17Z","title":"Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12966","snapshot_observed_at":"2026-08-10T11:02:29.182907Z","title":"Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.182907Z"},"links":{"cited_paper":"/paper/2308.12966","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:daf453ff9f8121b24bd1ec4b630256cbce2b2086bbabd6ece588f739fe1430a3","observation_id":"9453e9ef-f60c-446b-8256-cca7ed59d287","resolution":{"observed_at":"2026-08-10T11:02:29.182907Z","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":"2026-08-10T11:02:30.218725Z","title":"On a routing problem","venue":null,"work_id":"cfb9a684-8296-4be0-86f8-3be392102d9a","year":1958},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.188514Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:9e8c9448063f143d68ca6ceb33e792605e0cc9d50d44869d82ab1c1ffceac64d","observation_id":"986eb19b-095e-4a36-be0f-ecd750a1da7a","resolution":{"observed_at":"2026-08-10T11:02:30.223686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05897","last_updated":"2021-02-11T09:06:13Z","snapshot_observed_at":"2026-08-18T07:39:07.193598Z","submitted_at":"2021-02-11T09:06:13Z","title":"Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.05897","snapshot_observed_at":"2026-08-10T11:02:29.192696Z","title":"Corner cases for visual perception in automated driving: some guidance on detection approaches","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.192696Z"},"links":{"cited_paper":"/paper/2102.05897","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:4005f55d5d99157fc05d83a4081ddaaf3387aabf93235fe549f479d1a7c2138f","observation_id":"a50c3bda-3315-4c2b-826e-4388c8cd4ad4","resolution":{"observed_at":"2026-08-10T11:02:29.192696Z","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":"2026-08-10T11:02:30.199969Z","title":"Gender shades: Intersectional accuracy disparities in commercial gender classification","venue":null,"work_id":"6d85d423-3e31-421d-838e-70aeb9a2e9e0","year":2018},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.198256Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:e49146bdc4d474f0a9bd7736f2ef9197e404aed2d5540bbfafec0b75de3798c8","observation_id":"cb2a1717-9fdc-40b9-a423-291d2659a4ec","resolution":{"observed_at":"2026-08-10T11:02:30.207014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:30.175175Z","title":"Ovarnet: Towards open-vocabulary object attribute recognition","venue":null,"work_id":"ad0be6ec-227b-4d5f-85eb-4cdde5966130","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.202881Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:f59b1160be9b26819a73f6dc94e5178ab3ce6e5ba7a23a9468d856961ef1d6f9","observation_id":"670e8e73-398d-4799-90d1-11b7385004b4","resolution":{"observed_at":"2026-08-10T11:02:30.184063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:30.150470Z","title":"Hibug: on human-interpretable model debug","venue":null,"work_id":"599b907a-82eb-4337-b390-1afcbd440354","year":2024},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.208700Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:a6157c809be2c83d7b5ba9497691125947cf3db07bcd51321c1eaacaf11dac80","observation_id":"36b193f5-4f27-445b-bc9f-5b589d9a4dbe","resolution":{"observed_at":"2026-08-10T11:02:30.158279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.213918Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.213918Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:a63a2c14615c35b393144d0fa993f77a87efecfb748ff9f1ac7e51514a3e18ad","observation_id":"086fe9f7-ba55-40ed-8546-4d741f05c70d","resolution":{"observed_at":"2026-08-10T11:02:29.213918Z","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":"2026-08-10T11:02:30.100394Z","title":"The spotlight: A general method for discovering systematic errors in deep learning models","venue":null,"work_id":"ba2a4af7-884b-4c2d-b3c2-8f69b445e20d","year":2022},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.218056Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:50f8b7ad190f86f5a02a13505eda1449264634215049d5b9d95a53478d5f795b","observation_id":"17966da3-9add-4794-aa9e-2a363d21b2db","resolution":{"observed_at":"2026-08-10T11:02:30.106159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.14960","last_updated":"2022-05-21T22:27:46Z","snapshot_observed_at":"2026-08-16T17:11:57.225128Z","submitted_at":"2022-03-24T22:38:56Z","title":"Domino: Discovering Systematic Errors with Cross-Modal Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.14960","snapshot_observed_at":"2026-08-10T11:02:29.222167Z","title":"Domino: Discovering systematic errors with cross-modal embeddings","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.222167Z"},"links":{"cited_paper":"/paper/2203.14960","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:4fa56754fbe54fd36b5e46d1d3cedf031fbb4e74bbffc00963266380290dfb0b","observation_id":"8afe7b6a-95e4-425f-be13-7fbd83cf00e6","resolution":{"observed_at":"2026-08-10T11:02:29.222167Z","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":"2026-08-10T11:02:30.074244Z","title":"Deep learning-based image recognition for autonomous driving","venue":null,"work_id":"0a074285-8e0d-4d4c-8762-3eb36c130721","year":2019},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.226762Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:73cf608301772d36347839854219cf4ca4cfb7bf05576b0f68dcfcea32e07eda","observation_id":"dedc3ce1-f952-4509-ba85-c098f9ba0dd9","resolution":{"observed_at":"2026-08-10T11:02:30.080056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:30.058968Z","title":"Adaptive testing of computer vision models","venue":null,"work_id":"ad33f6e1-237a-439b-8e14-d51a1cce60bc","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.231061Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:eda7d725a43aa346ca9fac6b9d2b2aa8e77bc8c21d0a39ecc0a14558554f4c3a","observation_id":"852194ce-d77c-4a4e-84a6-def8720ac8f7","resolution":{"observed_at":"2026-08-10T11:02:30.063143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:30.045763Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"ed0862e4-1ec4-440f-82e4-2ce958b39201","year":2012},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.235287Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:fcc10932966a229c67e8c583196afdc2dbe8e50de4e905354af42605d0886d10","observation_id":"2d2f7eb8-eca3-452c-ac15-007a88621183","resolution":{"observed_at":"2026-08-10T11:02:30.049801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:30.032467Z","title":"Machine learning in medical imaging","venue":null,"work_id":"9c50f0ff-2158-461e-ba40-c83c080824e2","year":2018},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.240086Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:bfc73c5edcbc3620fb45ecd6b8216b294f24b57a78f0821f16f004cc0835198b","observation_id":"69d65cea-77f9-4445-bf86-31b2b0ff6b5a","resolution":{"observed_at":"2026-08-10T11:02:30.036970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.243910Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.243910Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:cb5efbd110dbf2c3ec3e9d80aff0f6f14f00eefe3530288df2481b359c80b524","observation_id":"f91a4a79-06cc-49f8-912b-2993b1d51d7d","resolution":{"observed_at":"2026-08-10T11:02:29.243910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14754","last_updated":"2022-12-02T17:12:30Z","snapshot_observed_at":"2026-08-19T17:14:15.901612Z","submitted_at":"2022-06-29T16:35:24Z","title":"Distilling Model Failures as Directions in Latent Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14754","snapshot_observed_at":"2026-08-10T11:02:29.248240Z","title":"Distilling model failures as directions in latent space","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.248240Z"},"links":{"cited_paper":"/paper/2206.14754","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:b75b03f4e52bfcd0e70b2966dbedb3bd85f675bd2b98ec0c324962cc35b68199","observation_id":"61024b11-5cf7-49f4-bd27-ecf80f02f15f","resolution":{"observed_at":"2026-08-10T11:02:29.248240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.07399","last_updated":"2023-07-03T03:06:26Z","snapshot_observed_at":"2026-08-18T12:23:44.117135Z","submitted_at":"2023-03-13T18:26:11Z","title":"RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.07399","snapshot_observed_at":"2026-08-10T11:02:29.252535Z","title":"Rtmpose: Real-time multi-person pose estimation based on mmpose","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.252535Z"},"links":{"cited_paper":"/paper/2303.07399","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:4e946c62ed9ae2b6b69cf879dd06c5a780b29847fe450af589d46a7b876b8539","observation_id":"402d27b0-ad88-4db7-ac5e-f879734c9481","resolution":{"observed_at":"2026-08-10T11:02:29.252535Z","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":"2026-08-10T11:02:30.010247Z","title":"Where does my model underperform? a human evaluation of slice discovery algorithms","venue":null,"work_id":"b0f64b91-8a1e-4a81-9f2b-113378ce083f","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.257011Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:a90b120aa9905be8a0b3266803f86371b7a8cb8a490d1625d32c095d67e5446f","observation_id":"05737532-3df2-45b2-9c33-9874cf6e791b","resolution":{"observed_at":"2026-08-10T11:02:30.014976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.995053Z","title":"Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation","venue":null,"work_id":"4ff20acf-fcde-4784-ab25-13147883f70b","year":2022},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.260706Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:c19954997fb1d045319ccba740b7fa0551e0cae6a0dd41f0ee168de5ecf35a86","observation_id":"e4d453e1-e7e7-44b2-a8dc-d3aa7435828a","resolution":{"observed_at":"2026-08-10T11:02:30.000105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.979447Z","title":"Exploring plain vision transformer backbones for object detection","venue":null,"work_id":"b6670ba3-4b00-4536-968b-d9fc37ba4961","year":2022},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.264798Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:42a09dbb049d30cd819313db6a24087e2a4d88d0eb274559b2759675ad2f803b","observation_id":"790237f9-a089-4fd9-bcbf-9774c9d4fe2e","resolution":{"observed_at":"2026-08-10T11:02:29.984728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.964374Z","title":"Aide: An automatic data engine for object detection in autonomous driving","venue":null,"work_id":"833b0e40-2470-4440-9702-4a59f4da759d","year":2024},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.269303Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:37758fea728782cb812d15f08d6c53f83215d3ff61783aae096c0089bb864ada","observation_id":"3bad473c-b437-41fa-bd9c-50e9d5828fba","resolution":{"observed_at":"2026-08-10T11:02:29.969468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.276260Z","title":"Visual instruction tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.276260Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:b1c9ce14fc53c75fe59122f936558772b5618e3e3e42bb042f7d26e957df4cd1","observation_id":"0d827bd0-3302-468d-8bc5-dbe060b2a607","resolution":{"observed_at":"2026-08-10T11:02:29.276260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.07784","last_updated":"2022-12-16T09:47:56Z","snapshot_observed_at":"2026-08-19T13:52:54.738334Z","submitted_at":"2022-12-14T18:50:20Z","title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.07784","snapshot_observed_at":"2026-08-10T11:02:29.286825Z","title":"Rtmdet: An empirical study of designing real-time object detectors","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.286825Z"},"links":{"cited_paper":"/paper/2212.07784","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:9685cced440bc0d7614c8f9f16a8a3da6b3255d080eb54a9070a90a1eeb0cc80","observation_id":"47894bc5-d05f-439f-8454-32ac9e6a7f05","resolution":{"observed_at":"2026-08-10T11:02:29.286825Z","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":"2026-08-10T11:02:29.940180Z","title":"Identification of systematic errors of image classifiers on rare subgroups","venue":null,"work_id":"ccbc86d5-f164-40ef-a156-0048d0c39fc4","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.291793Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:bc228b045b3c530a9d0ec6c7163809a3044f0060e42fdb4e1cec4e88beac8286","observation_id":"31fded6b-6893-4bfe-87a3-72bfbc7fc4bc","resolution":{"observed_at":"2026-08-10T11:02:29.945509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","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":"2026-08-10T11:02:29.296345Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.296345Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:343678e8d209b1f77d4cccc2d4b3591e8c428521295ec48343435b092df07e76","observation_id":"1e4ad1f5-b7c0-4f4b-8dcf-e7aa7b91d7ff","resolution":{"observed_at":"2026-08-10T11:02:29.296345Z","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":"2026-08-10T11:02:29.301554Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.301554Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:eb97c205ee65a4c266add7999c1e6e29828b270860ff6d24d868ee04332aee40","observation_id":"95e37ecc-b477-4ace-8fae-b435595d0334","resolution":{"observed_at":"2026-08-10T11:02:29.301554Z","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":"2026-08-10T11:02:29.900726Z","title":"Sliceline: Fast, linear-algebra-based slice finding for ml model debugging","venue":null,"work_id":"4e2e4b36-6e49-4aad-bac5-ff0c17dd5b64","year":2021},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.306994Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:2b967c1a681e733758fe33cdc34b542fed07be0d7496451d09fd3347cec4a999","observation_id":"7d9ea1e9-e00e-4f81-b34a-ad4dfdc01a86","resolution":{"observed_at":"2026-08-10T11:02:29.905822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.311448Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.311448Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:df263febf640c6fee3f9acd5d7908f523da7d63363c0ffc09815a7b31786cac0","observation_id":"0a392492-dc5c-4127-960f-1f212a12c8c4","resolution":{"observed_at":"2026-08-10T11:02:29.311448Z","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":"2026-08-10T11:02:29.860033Z","title":"Vlslice: Interactive vision-and-language slice discovery","venue":null,"work_id":"8b41df3b-0d39-418b-b19a-5330c7350ea3","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.317741Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:1895529da953614baadae0e6b59439852ea043a6cfab629d5dad92723adc8be8","observation_id":"0d916519-eb0b-4e00-bc5b-3390c39829bd","resolution":{"observed_at":"2026-08-10T11:02:29.866236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.826679Z","title":"Yolov8: A novel object detection algorithm with enhanced performance and robustness","venue":null,"work_id":"02274adc-f918-4e2d-a693-c0395e5b7c77","year":2024},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.326121Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:986e70fd7d1775e512a3a805fe98adebe128e1436dff5985d4c6f3110f7dab06","observation_id":"e9b2d048-aa95-4017-90dd-0159d2b49481","resolution":{"observed_at":"2026-08-10T11:02:29.832993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.812013Z","title":"Learning concise and descriptive attributes for visual recognition","venue":null,"work_id":"05edee6e-31d0-41e7-b12f-76a96d9c8e72","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.332044Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:4d7ce34e8e5770acd855ccf6405680bb792bc688bb94627d6483c8bec66f5295","observation_id":"43e933f8-1704-4be4-ba36-bd88d7e4f8b5","resolution":{"observed_at":"2026-08-10T11:02:29.817227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.797769Z","title":"Language in a bottle: Language model guided concept bottlenecks for interpretable image classification","venue":null,"work_id":"c2bd4c9b-7403-4b81-87d4-d554fb5fb4dd","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.337572Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:0fd8a4b939eb45cc2d3faf3f260f38118cc71a75537efc5054195d8d49b18a75","observation_id":"c6ecacbb-af68-4dfa-881c-97a0f12a91cb","resolution":{"observed_at":"2026-08-10T11:02:29.802312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.783834Z","title":"Facts: First amplify correlations and then slice to discover bias","venue":null,"work_id":"067b9029-bd67-476a-9878-dfcb936e29ce","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.342829Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:3ebc2c23e1ff6d902f8c27707f13bd888e70ca17aac06e7a5b9332927e5044cd","observation_id":"a4e29d4f-90b6-4e39-b359-36476c6a5234","resolution":{"observed_at":"2026-08-10T11:02:29.788867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.764959Z","title":"Recognize anything: A strong image tagging model","venue":null,"work_id":"f0804d09-cb0c-4571-8450-6c3789e51c13","year":2024},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.347169Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:b72c6e938cf0c84bc94ebe2c646e2ebc23b300f0c7ba49f88d01e3776999111e","observation_id":"cbeef0ab-218a-45c9-b500-42b47f54b9ed","resolution":{"observed_at":"2026-08-10T11:02:29.769477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.748094Z","title":"Detrs with collaborative hybrid assignments training","venue":null,"work_id":"d39255a6-506e-4cb6-96c1-743a91384d8b","year":2023},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.351445Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:6ebbc5b8d9188e1dafa4b2092957f39ee111d49f7574c8398dbfe7ebe2a8586a","observation_id":"503856d9-32c8-4d2c-973e-722094291f96","resolution":{"observed_at":"2026-08-10T11:02:29.754575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T11:02:29.356265Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.356265Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:9593d031c2679fbadd44b71a32d6065d96d73b0c1f1212fdef68f0a430720056","observation_id":"dc25f330-e2ee-497c-acf4-4778ad6a3543","resolution":{"observed_at":"2026-08-10T11:02:29.356265Z","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":"2026-08-10T11:02:29.363816Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.363816Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:f8f610a84131fb67e0acdc8de8c72cfefe3e6a76c83e3ad7f246172c7b5c8d31","observation_id":"83333039-624b-4f98-934c-eb86cf25759d","resolution":{"observed_at":"2026-08-10T11:02:29.363816Z","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":"2026-08-10T11:02:29.368527Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.368527Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:814aed18f2e832167c63ca5ee876de49eb38b090b28baad375dff8a057edfc33","observation_id":"bf358d31-8e1a-441d-b4ea-d4e489a4af9c","resolution":{"observed_at":"2026-08-10T11:02:29.368527Z","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":"2026-08-10T11:02:29.376817Z","title":"main object","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T11:02:29.376817Z"},"links":{"citing_paper":"/paper/2501.16751"},"observation_digest":"sha256:f313dc4ff47dd01ba986da97c293141e9e35946039c801fc947e91dee2994a56","observation_id":"e54ff8da-7ff2-4b45-9b5e-525f0b632875","resolution":{"observed_at":"2026-08-10T11:02:29.376817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.16751","last_updated":"2025-03-03T09:07:59Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T07:39:22.999380Z","submitted_at":"2025-01-28T07:08:20Z","title":"HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":22},"total_outbound_references":38},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.16751."}