{"as_of":"2026-08-09T13:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:deba1563e211b4339d08f0e1040b12cd2b66e3b6d31f6a2e01e106de00d880f0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:42:53.304807Z","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":"2026-07-03T05:57:41.467061Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":"2202.04053","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-07-03T05:57:41.467061Z","title":"Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers","venue":null,"work_id":"ee9f7d11-6ca5-4132-9c85-cfecfc9454b2","year":2023},"citing_paper":{"arxiv_id":"2204.03458","last_updated":"2022-06-22T20:22:29Z","snapshot_observed_at":"2026-07-06T12:57:51.108636Z","submitted_at":"2022-04-07T14:08:02Z","title":"Video Diffusion Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T14:38:27.919104Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2204.03458"},"observation_digest":"sha256:8d1687fab5ef69d9beb48cddc6169b99096698542028a9f8cce4d73bfcd74cda","observation_id":"42a17c7c-6f12-4cd0-ba25-40aa930f6408","resolution":{"observed_at":"2026-05-13T14:38:27.972570Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":"2202.04053","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-07-03T05:57:41.467061Z","title":"Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers","venue":null,"work_id":"ee9f7d11-6ca5-4132-9c85-cfecfc9454b2","year":2023},"citing_paper":{"arxiv_id":"2205.11487","last_updated":"2022-05-23T17:42:53Z","snapshot_observed_at":"2026-07-06T13:12:59.688989Z","submitted_at":"2022-05-23T17:42:53Z","title":"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T07:38:53.056362Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2205.11487"},"observation_digest":"sha256:24fabe33a0e995b235f91fdecef817becd9b8d8959246ef14602013a6af14937","observation_id":"8b8f52b8-b87b-4980-8eb7-d3177af8fb69","resolution":{"observed_at":"2026-05-12T07:38:53.350647Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-08-07T05:42:53.304807Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07282","last_updated":"2025-06-08T21:02:33Z","snapshot_observed_at":"2026-08-09T02:54:27.291300Z","submitted_at":"2025-06-08T21:02:33Z","title":"Adultification Bias in LLMs and Text-to-Image Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:42:53.304807Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2506.07282"},"observation_digest":"sha256:02d9cb5cbf852d63b41e6e2260800aba950bf36536109c003c09ae7738d9343c","observation_id":"fd224497-9d1d-4b77-ae0e-b53b04e5b3da","resolution":{"observed_at":"2026-08-07T05:42:53.304807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-08-06T19:01:55.678385Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06652","last_updated":"2025-07-09T08:34:24Z","snapshot_observed_at":"2026-08-09T05:56:03.301144Z","submitted_at":"2025-07-09T08:34:24Z","title":"Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:55.678385Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2507.06652"},"observation_digest":"sha256:e683624095f89f87fb97d06f29f3a324019f8121e77866ee53e879daf853a151","observation_id":"cb6d4aaa-a515-4326-979c-404b3ede7975","resolution":{"observed_at":"2026-08-06T19:01:55.678385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-08-05T11:56:08.172315Z","title":"Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.02175","last_updated":"2025-09-04T16:38:44Z","snapshot_observed_at":"2026-08-05T11:56:06.572610Z","submitted_at":"2025-09-02T10:32:58Z","title":"Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:56:08.172315Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2509.02175"},"observation_digest":"sha256:5cd58d66605d1b2dffee948bf33b931e4f6b08b240979164d9884870de63a8ef","observation_id":"f51bcfbf-8610-459c-9a14-df6a4d7f3427","resolution":{"observed_at":"2026-08-05T11:56:08.172315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-08-04T23:54:51.507022Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-To-Image Generation Models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08004","last_updated":"2025-09-07T22:15:58Z","snapshot_observed_at":"2026-08-04T23:54:48.882012Z","submitted_at":"2025-09-07T22:15:58Z","title":"Evaluating and comparing gender bias across four text-to-image models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T23:54:51.507022Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2509.08004"},"observation_digest":"sha256:cc4053bb70b55e076844b390c8affff7fe5292885d132325cc1209d1e9e57775","observation_id":"660038c2-ed1e-418e-b195-df5f12d00fcf","resolution":{"observed_at":"2026-08-04T23:54:51.507022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-08-04T19:59:31.032268Z","title":"Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers.arXiv preprint arXiv:2202.04053, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08940","last_updated":"2025-09-10T19:07:55Z","snapshot_observed_at":"2026-08-08T03:23:34.403562Z","submitted_at":"2025-09-10T19:07:55Z","title":"Discovering Divergent Representations between Text-to-Image Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T19:59:31.032268Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2509.08940"},"observation_digest":"sha256:138c78d8845025b03bb2ddb9db2ee19a04ee55353cc1e9654df23a2d1f8eca31","observation_id":"8ab89cb5-043b-46de-b2a5-680c1a4830ec","resolution":{"observed_at":"2026-08-04T19:59:31.032268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":"2202.04053","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-07-03T05:57:41.467061Z","title":"Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers","venue":null,"work_id":"ee9f7d11-6ca5-4132-9c85-cfecfc9454b2","year":2023},"citing_paper":{"arxiv_id":"2604.21036","last_updated":"2026-04-22T19:30:35Z","snapshot_observed_at":"2026-08-02T19:59:38.936997Z","submitted_at":"2026-04-22T19:30:35Z","title":"Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-09T23:48:37.948835Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2604.21036"},"observation_digest":"sha256:b68ad63e82599d86dd6fcac00bbb2cb71db7546d0516c5d7faa392f062be0277","observation_id":"015fb487-cfbd-422b-89b4-fc5649136ead","resolution":{"observed_at":"2026-05-11T14:01:03.925677Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":"2202.04053","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-07-03T05:57:41.467061Z","title":"Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers","venue":null,"work_id":"ee9f7d11-6ca5-4132-9c85-cfecfc9454b2","year":2023},"citing_paper":{"arxiv_id":"2606.11470","last_updated":"2026-06-09T21:59:37Z","snapshot_observed_at":"2026-07-06T23:50:35.052764Z","submitted_at":"2026-06-09T21:59:37Z","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-27T12:59:51.091008Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2606.11470"},"observation_digest":"sha256:2bf75f86a2255370e6c077e11a903588bd0ca810c84123b7e35d1eef05814fae","observation_id":"54073dc6-e2bb-46ca-a4b5-8fdfcc790468","resolution":{"observed_at":"2026-07-03T05:57:41.468749Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04053","snapshot_observed_at":"2026-08-01T16:10:33.494687Z","title":"A survey on datasets for fairness-aware machine learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18119","last_updated":"2026-07-20T16:14:13Z","snapshot_observed_at":"2026-08-06T16:22:23.527481Z","submitted_at":"2026-07-20T16:14:13Z","title":"COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T16:10:33.494687Z"},"links":{"cited_paper":"/paper/2202.04053","citing_paper":"/paper/2607.18119"},"observation_digest":"sha256:68238799ef6d5514275aa6962e6891bc0bb8f8fbab94f70e292ff990976f42d6","observation_id":"8a896fa9-dba7-4e8c-a6e8-3d224a62dd29","resolution":{"observed_at":"2026-08-01T16:10:33.494687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2202.04053/citation-record","integrity":"/paper/2202.04053/integrity","json":"/paper/2202.04053/citation-record.json","paper":"/paper/2202.04053"},"outbound":[],"paper":{"arxiv_id":"2202.04053","last_updated":"2023-08-30T18:41:01Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T20:55:30.305467Z","submitted_at":"2022-02-08T18:36:52Z","title":"DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2202.04053."}