{"as_of":"2026-08-19T12:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15fb0d5e5d9a4d6d32d833292b44369281adbee311d92ad9df58b38b7ee3715e","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:20:53.374493Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T18:37:35.346212Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.01261","last_updated":"2024-07-17T02:15:51Z","snapshot_observed_at":"2026-08-16T14:38:10.566269Z","submitted_at":"2023-12-03T02:31:37Z","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01261","snapshot_observed_at":"2026-08-15T20:20:53.374493Z","title":"Tibet: Identifying and evaluating biases in text-to-image generative models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13273","last_updated":"2026-05-29T15:25:42Z","snapshot_observed_at":"2026-08-18T04:08:46.092075Z","submitted_at":"2025-05-19T15:53:32Z","title":"EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:20:53.374493Z"},"links":{"cited_paper":"/paper/2312.01261","citing_paper":"/paper/2505.13273"},"observation_digest":"sha256:ce649756b4fc0e7626c7000adef66e34f8bf1bf0301027a05d393452ae788671","observation_id":"89f89f9c-7c3b-460f-b4f7-d020fa7fad33","resolution":{"observed_at":"2026-08-15T20:20:53.374493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01261","last_updated":"2024-07-17T02:15:51Z","snapshot_observed_at":"2026-08-16T14:38:10.566269Z","submitted_at":"2023-12-03T02:31:37Z","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","version":2},"cited_work":{"arxiv_id":"2312.01261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.01261","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tibet: Identifying and evaluating biases in text-to-image generative models","venue":null,"work_id":"8d5f0842-3088-4bb4-b7b2-82550138698b","year":2023},"citing_paper":{"arxiv_id":"2604.11934","last_updated":"2026-04-13T18:22:50Z","snapshot_observed_at":"2026-08-11T15:18:07.150130Z","submitted_at":"2026-04-13T18:22:50Z","title":"BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T15:33:15.025940Z"},"links":{"cited_paper":"/paper/2312.01261","citing_paper":"/paper/2604.11934"},"observation_digest":"sha256:80fe5d328b8db9a9e37c98a4749c6635a0b407a7c0d5ef8f04c60e9a5acd1482","observation_id":"eaca4ffa-45e1-4303-b643-92574b064235","resolution":{"observed_at":"2026-05-11T10:21:00.522825Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01261","last_updated":"2024-07-17T02:15:51Z","snapshot_observed_at":"2026-08-16T14:38:10.566269Z","submitted_at":"2023-12-03T02:31:37Z","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","version":2},"cited_work":{"arxiv_id":"2312.01261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.01261","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tibet: Identifying and evaluating biases in text-to-image generative models","venue":null,"work_id":"8d5f0842-3088-4bb4-b7b2-82550138698b","year":2023},"citing_paper":{"arxiv_id":"2604.21036","last_updated":"2026-04-22T19:30:35Z","snapshot_observed_at":"2026-08-10T23:43:24.667506Z","submitted_at":"2026-04-22T19:30:35Z","title":"Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-09T23:48:37.948835Z"},"links":{"cited_paper":"/paper/2312.01261","citing_paper":"/paper/2604.21036"},"observation_digest":"sha256:3ba7e5e34b7c51ca1069c70796288cee67ba0697bef7681c7f7d95f665cec36f","observation_id":"32ce4642-f015-4255-b4f3-2b37ce3ce3de","resolution":{"observed_at":"2026-05-11T14:01:03.932460Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01261","last_updated":"2024-07-17T02:15:51Z","snapshot_observed_at":"2026-08-16T14:38:10.566269Z","submitted_at":"2023-12-03T02:31:37Z","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","version":2},"cited_work":{"arxiv_id":"2312.01261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.01261","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tibet: Identifying and evaluating biases in text-to-image generative models","venue":null,"work_id":"8d5f0842-3088-4bb4-b7b2-82550138698b","year":2023},"citing_paper":{"arxiv_id":"2605.13113","last_updated":"2026-05-13T07:25:04Z","snapshot_observed_at":"2026-08-13T00:15:03.969293Z","submitted_at":"2026-05-13T07:25:04Z","title":"Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-14T18:36:08.398473Z"},"links":{"cited_paper":"/paper/2312.01261","citing_paper":"/paper/2605.13113"},"observation_digest":"sha256:c752d1883aa78c359057151d84508ee39b3eec6b325580cf5f86eb719da57ad0","observation_id":"177be3cc-776c-4136-a898-04583c072eaa","resolution":{"observed_at":"2026-05-14T18:37:35.349950Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.01261/citation-record","integrity":"/paper/2312.01261/integrity","json":"/paper/2312.01261/citation-record.json","paper":"/paper/2312.01261"},"outbound":[],"paper":{"arxiv_id":"2312.01261","last_updated":"2024-07-17T02:15:51Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:38:10.566269Z","submitted_at":"2023-12-03T02:31:37Z","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.01261."}