{"as_of":"2026-08-18T08:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c40ab7524976d963bf01b707bafe2accdbe7e41c4862a7f3f95587a402282118","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:15:21.544522Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2501.09014/citation-record","integrity":"/paper/2501.09014/integrity","json":"/paper/2501.09014/citation-record.json","paper":"/paper/2501.09014"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:15:21.399364Z","title":"Large-scale text-to-image generation models for visual artists’ creative works,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.399364Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:6ca52088645124d4eb3ce53566286004e2ec87b3bf05234803c70945beb219ec","observation_id":"78c1fa22-d6d6-430d-bf35-35a1a3a51119","resolution":{"observed_at":"2026-08-10T20:15:21.399364Z","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":"2026-08-10T20:15:22.566425Z","title":"AI Image Statistics for 2024: How Much Content Was Created by AI,","venue":null,"work_id":"94144aec-0800-4887-a8e7-d5fcac2c2ddd","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.406701Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:4396f5856537ffb506b44a9a3e600792433d933d45e11ed4aa82180d412622df","observation_id":"2b6fcfde-8fef-4ad4-958d-6307ecb9f30c","resolution":{"observed_at":"2026-08-10T20:15:22.571962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.549966Z","title":"Easily accessible text-to-image generation amplifies demographic stereotypes at large scale,","venue":null,"work_id":"01b14cd3-1900-47a0-ab21-8d4f661310f8","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.411089Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:c032f5c0d0a9c9c0307fceb85854eeadee2e2deae77ced1553dceef3cb7197f3","observation_id":"2c1bef55-2668-47f8-873e-84694e017e74","resolution":{"observed_at":"2026-08-10T20:15:22.555134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.534834Z","title":"Social biases through the text-to-image gener- ation lens,","venue":null,"work_id":"806ffa0e-f1e0-4e24-ba96-aaca8c2dc0ab","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.415281Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:630a83954641f3f299d180aca74e39627c330548001d438698e0aa9155d1b25f","observation_id":"f142c2a3-c70f-4623-96e4-407f5455c7c5","resolution":{"observed_at":"2026-08-10T20:15:22.539924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.519407Z","title":"Data-driven analysis of gender fairness in the software engineering academic landscape,","venue":null,"work_id":"360e5573-3a9d-4c34-9469-c669e7e407b4","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.419750Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:61f5df60cdc18293bc21a43ebabe0f5e2fe694b5e98435fbff0e8d784ba8bdd6","observation_id":"d8c48850-1706-4bf6-bf09-2d682cd120ae","resolution":{"observed_at":"2026-08-10T20:15:22.524641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.504195Z","title":"Uncovering gender gap in academia: A comprehensive analysis within the software engineering community,","venue":null,"work_id":"cf066f0f-572b-4168-9a19-db55848cc242","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.424904Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:e2b3350710b355e00c6de790c13f69a9597cad13fd12f34ac2274157c4285c64","observation_id":"a3fee73a-2bf2-49b5-919a-f7d8830e7aad","resolution":{"observed_at":"2026-08-10T20:15:22.509330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.490359Z","title":"Understanding fairness in software engineering: Insights from stack exchange sites,","venue":null,"work_id":"faf6d75e-ac87-4519-859a-2bffaab08542","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.430058Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:3f4f233f75b77033a826cc4d056fc0560c54c1a5bd31e742a97762fa9f1d7ad9","observation_id":"7b820802-07eb-4ab5-94de-f2ab103c5496","resolution":{"observed_at":"2026-08-10T20:15:22.494588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:21.434391Z","title":"Perceived diversity in software engineering: a systematic literature review,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.434391Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:828df37b023c88099e474419b3ac832eb375dd9238a3896bf59d0b321877d20c","observation_id":"787ea564-4f6c-4bea-a65b-15981eb62e2d","resolution":{"observed_at":"2026-08-10T20:15:21.434391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02482","last_updated":"2025-07-24T12:28:33Z","snapshot_observed_at":"2026-08-16T13:12:58.356592Z","submitted_at":"2024-10-03T13:40:00Z","title":"It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02482","snapshot_observed_at":"2026-08-10T20:15:21.438812Z","title":"It is giving major satisfaction: Why fairness matters for developers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.438812Z"},"links":{"cited_paper":"/paper/2410.02482","citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:e3f172cb21595ad652d51cfee4f58c83a850f66bfab5ad617942b261e9368079","observation_id":"803cf92e-4b90-4f25-ae25-d53b5e373119","resolution":{"observed_at":"2026-08-10T20:15:21.438812Z","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":"2026-08-10T20:15:22.467066Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":"32dffaab-f3ec-45b8-aaca-a985d7003ff0","year":2022},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.443700Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:7f2e02168668ef5827272e78ed12c6b72f9158144de4bc77f433eb4bd15ea5ac","observation_id":"06c7320c-e506-4bc5-950b-8cab004bfb89","resolution":{"observed_at":"2026-08-10T20:15:22.471307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-08-14T22:54:08.184266Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-10T20:15:21.448510Z","title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.448510Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:fd160e1cfbd55ef0b446f72965a6ba52a7dd5916c5ff12be6d60aade87d64039","observation_id":"a4dbe2ae-f809-4ac6-a6e5-f791a2e54943","resolution":{"observed_at":"2026-08-10T20:15:21.448510Z","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":"2026-08-10T20:15:22.453189Z","title":"Scaling rectified flow transformers for high-resolution image synthesis,","venue":null,"work_id":"66bb47bd-80b2-442a-b81f-e255c48be7a5","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.453456Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:f4bee54f75b2fa606921189bd3b2c798efe110c581da65ea414ac79d6c1a4bdd","observation_id":"b73a7de0-c445-4264-b423-31a56983bb32","resolution":{"observed_at":"2026-08-10T20:15:22.457766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/1033631","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:15:22.124146Z","title":"A case study of fairness in generated images of Large Language Models for Software Engineering tasks,","venue":null,"work_id":"d4837b35-a00a-4906-bc16-1e6ea21a1893","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.457754Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:477aeed6be243ef14e86d3d7498fb6005f9cc697d1d0cefddaaa279e885598ff","observation_id":"1c421375-b75c-4c96-b4c1-50ea68609dbd","resolution":{"observed_at":"2026-08-10T20:15:22.131384Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/1017402","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:15:22.033809Z","title":"She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models,","venue":null,"work_id":"29b8a290-eb3a-46c6-83d9-5191a9d0c725","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.461672Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:9c5f1582873070b776ac2737609f6d880554804605febe157ae72fc577f8d7a0","observation_id":"dd2549ae-ddb7-465e-8c88-0a8988b4b1ef","resolution":{"observed_at":"2026-08-10T20:15:22.041369Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.439434Z","title":"Replication Package,","venue":null,"work_id":"96236eb2-9f79-4362-9423-ff1c04ce9a70","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.465638Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:d844dba7d9e46699e692bbb3c587aa8725e66d1941d834ff2bf646e983aed5c7","observation_id":"b900a67d-7ee7-499e-8593-70d34b6a744c","resolution":{"observed_at":"2026-08-10T20:15:22.443704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.425368Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":"c2c22181-6ce3-4d19-81a8-b986c1e496ed","year":2022},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.469483Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:3e4a557691fbf2c8f8703f1cec00075c231de534362e3e5b0cdc421be4e19f53","observation_id":"1ce9f210-58b6-4f3b-b3ae-15c6c6ab7a25","resolution":{"observed_at":"2026-08-10T20:15:22.429970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:21.473430Z","title":"Laion- 5b: An open large-scale dataset for training next generation image-text models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.473430Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:9ba6099cca9fbb5e68504722eb4d6d534aa75c4704a280964a7095d74afb8d36","observation_id":"9443294f-48d3-42e8-8f08-0a4a52c9a3a6","resolution":{"observed_at":"2026-08-10T20:15:21.473430Z","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":"2026-08-10T20:15:22.401309Z","title":"Smiling women pitching down: auditing representational and presentational gender biases in image-generative ai,","venue":null,"work_id":"f1962215-7f64-4055-a6e8-1b75efeaee66","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.477769Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:9045f12e29b923f90256bf4f27afbeba6171698154df78f7e654f1b686d60957","observation_id":"314a2c8a-110f-4a32-8cd1-0958cc7d741e","resolution":{"observed_at":"2026-08-10T20:15:22.405835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.386885Z","title":"Stable Bias: Evaluating Societal Representations in Diffusion Models,","venue":null,"work_id":"4272d4c4-6b04-408f-872f-dadc2f20f5f4","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.482313Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:a580e5d08ff3305e1716f04dc5527624cff1caacf7b6b5582135f249ceaa8262","observation_id":"d34c1c91-7575-4653-ba3a-416a29b29adc","resolution":{"observed_at":"2026-08-10T20:15:22.391407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01030","last_updated":"2024-05-01T23:58:22Z","snapshot_observed_at":"2026-08-16T14:04:41.466154Z","submitted_at":"2024-04-01T10:19:05Z","title":"Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01030","snapshot_observed_at":"2026-08-10T20:15:21.486283Z","title":"Survey of bias in text-to- image generation: Definition, evaluation, and mitigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.486283Z"},"links":{"cited_paper":"/paper/2404.01030","citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:1254b6eac2ab505493988925100b88493ca6171dcb2e4745018349adbc97abfe","observation_id":"4c0beffb-09d0-4916-bf29-bbf19ef02bc8","resolution":{"observed_at":"2026-08-10T20:15:21.486283Z","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":"2026-08-10T20:15:21.490424Z","title":"Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.490424Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:29de75244993b3beb1b28bc31556de16bf83f77c72ffc72a7891a9c98fae6f79","observation_id":"f2b4456d-2ea5-4961-8074-82b7e6b03b14","resolution":{"observed_at":"2026-08-10T20:15:21.490424Z","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":"2026-08-10T20:15:22.361822Z","title":"Organizational research: Determining appro- priate sample size in survey research appropriate sample size in survey research,","venue":null,"work_id":"2806e957-8bc1-4257-9ad4-3ac9cfb77f26","year":2001},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.499146Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:e5aff2f09fbc0f2e4dfd3bc30660eb236e1d6a4e052a618c106262be7079d54c","observation_id":"c48df531-4873-467a-ac7b-cc447a6c64d0","resolution":{"observed_at":"2026-08-10T20:15:22.366540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"publication/7001466","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:15:21.916730Z","title":"A coefficient of agreement as a measure of thematic classification accuracy","venue":null,"work_id":"983609aa-f5ec-4e43-a705-c7571bd4ca22","year":1986},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.503108Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:ad182bfceffa05ce38937795c12b4b20b244de73126dc9b2c397770fcedc9dcd","observation_id":"099d20f3-e99d-4b7b-b992-6b4f5ea74328","resolution":{"observed_at":"2026-08-10T20:15:21.924109Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:21.507221Z","title":"Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.507221Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:7ce07bce8105f3078014eb17532720d7412f77f6dbbb131d6d25c86461e5e915","observation_id":"64cee9a7-5c1a-4575-96bc-c09c2833d5e1","resolution":{"observed_at":"2026-08-10T20:15:21.507221Z","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":"2026-08-10T20:15:21.511260Z","title":"On the use of evaluation measures for defect prediction studies,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.511260Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:0341add98493ea2efaedc0228ded7a5c105215d4834327adc97aff740500c72a","observation_id":"9871b810-3810-401c-95ea-2e7719c7756c","resolution":{"observed_at":"2026-08-10T20:15:21.511260Z","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":"2026-08-10T20:15:22.345710Z","title":"The misgendering machines: Trans/hci implications of au- tomatic gender recognition,","venue":null,"work_id":"905c69f5-5cd2-415c-86d1-cad821ca634e","year":2018},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.515268Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:eb78cb360b058c79769f5dbbbc4eda4e50f81e68c476a70db6df877e5cc33f77","observation_id":"f1af31bf-a050-499c-a0c4-997610aeda7d","resolution":{"observed_at":"2026-08-10T20:15:22.351155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:21.519369Z","title":"Debiaser for Multiple Variables to enhance fairness in classification tasks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.519369Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:dd52d5fac5971b965de32348e566278f0a5b961bf7bbf634f12a0396f1ec6554","observation_id":"6533784c-4933-4c07-985d-8d065bc72a27","resolution":{"observed_at":"2026-08-10T20:15:21.519369Z","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":"2026-08-10T20:15:22.329731Z","title":"Democratizing quality- based machine learning development through extended feature models,","venue":null,"work_id":"c520b0e5-1c6e-4149-8465-1f83019de27e","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.523417Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:7db2384d1ec7eaed1f8e9d3e3523e7dfcb31e2496c2ead31956b1c0b5d46706b","observation_id":"bc7cadd1-0206-477b-8899-6f7aa4dfcb67","resolution":{"observed_at":"2026-08-10T20:15:22.334523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.315116Z","title":"Weerts, An Introduction to Responsible Machine Learning, 2024","venue":null,"work_id":"5357d6ed-1485-4064-87cb-3776a345cb08","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.527509Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:ab2eeedaf9594e79d72b7f8d6d5f9a60514ca4059cfb42116b4c2b395e98a122","observation_id":"4fe2bdbd-48b2-4535-af9c-c922f75bcd73","resolution":{"observed_at":"2026-08-10T20:15:22.319817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.300074Z","title":"Greenstableyolo: Optimizing inference time and image quality of text- to-image generation,","venue":null,"work_id":"e4961c29-bbfa-49de-9e78-13f51760cbd2","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.531605Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:00cd1a3c347bccf9992d23662f71ba21707e26778071160dd50cb5533eabd796","observation_id":"eeb428ce-76ed-4d57-a7ed-6d1dcf0892f4","resolution":{"observed_at":"2026-08-10T20:15:22.305390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.285591Z","title":"Search-based software engineering in the era of modern software systems,","venue":null,"work_id":"4e62c9a3-85fc-4074-b207-f5e724e34eff","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.535934Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:63cef63a561cae7bcf79ca1cff4619efb4f53d94551b641bc844b17c0833ba00","observation_id":"a0bd73f5-f4c8-412b-9249-8731afad734a","resolution":{"observed_at":"2026-08-10T20:15:22.290320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:15:22.270682Z","title":"Multi-objective search for gender-fair and semantically correct word embeddings,","venue":null,"work_id":"8be1acc0-3adc-4cc0-9c9c-0f6122ff416e","year":2023},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.540477Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:c955e153536c70044b589c0af30db5fb67773b955e4f7ffbb8f5eab55492c63f","observation_id":"78825a9b-e89f-498c-b230-03f71e3a62bc","resolution":{"observed_at":"2026-08-10T20:15:22.275271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10664-023-10419-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:15:21.574345Z","title":"Search-based automatic repair for fairness and accuracy in decision-making software,","venue":null,"work_id":"cf830365-aa6f-44f0-9cb7-4b788b57f562","year":2024},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.544522Z"},"links":{"citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:9c9453305fa35ba4b35e002631b3bfd707fd808c6db0b0eeb3d59bca5f377a18","observation_id":"1a7daa50-f410-4f01-bbbd-449c9064cd4b","resolution":{"observed_at":"2026-08-10T20:15:21.581234Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12086","last_updated":"2022-02-15T05:43:32Z","snapshot_observed_at":"2026-08-16T17:25:16.004651Z","submitted_at":"2022-01-28T12:49:48Z","title":"BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12086","snapshot_observed_at":"2026-08-10T20:15:21.494606Z","title":"Available: https://arxiv.org/abs/2201.12086","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T20:15:21.494606Z"},"links":{"cited_paper":"/paper/2201.12086","citing_paper":"/paper/2501.09014"},"observation_digest":"sha256:9be9867639cb19c7978eb71e72e350977d0b3e48a0e410d3b5f0e18fd67ea260","observation_id":"d1958c10-42ea-438b-8eb3-9c9d01be1d5a","resolution":{"observed_at":"2026-08-10T20:15:21.494606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.09014","last_updated":"2025-08-05T19:37:35Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-15T16:17:28.410677Z","submitted_at":"2025-01-15T18:57:17Z","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":4,"verified_fuzzy":19},"total_outbound_references":34},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.09014."}