{"as_of":"2026-08-12T16:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:df26b5d31e7f85984bd505981e75b5e1558aefffc7aeda9c2f0e5624aa08e5ff","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:50:16.899877Z","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":"2026-07-04T03:39:29.326139Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.02338","last_updated":"2023-12-11T07:58:36Z","snapshot_observed_at":"2026-08-11T06:28:09.000068Z","submitted_at":"2023-12-04T20:47:48Z","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02338","snapshot_observed_at":"2026-08-11T15:50:16.899877Z","title":"A contrastive compositional benchmark for text-to-image synthesis: A study with unified text-to-image fidelity metrics","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10604","last_updated":"2024-12-18T17:49:32Z","snapshot_observed_at":"2026-08-12T00:03:57.059001Z","submitted_at":"2024-12-13T23:15:35Z","title":"EvalGIM: A Library for Evaluating Generative Image Models","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-11T15:50:16.899877Z"},"links":{"cited_paper":"/paper/2312.02338","citing_paper":"/paper/2412.10604"},"observation_digest":"sha256:d53c01cc4abc57be4605f6b06efdd4bed6eef370caa060b86ef402eb7ae49e26","observation_id":"e4875ea8-abe8-463c-9f08-31fbad118f7e","resolution":{"observed_at":"2026-08-11T15:50:16.899877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02338","last_updated":"2023-12-11T07:58:36Z","snapshot_observed_at":"2026-08-11T06:28:09.000068Z","submitted_at":"2023-12-04T20:47:48Z","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02338","snapshot_observed_at":"2026-08-10T17:26:35.969938Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12203","last_updated":"2025-01-21T15:18:55Z","snapshot_observed_at":"2026-08-10T21:06:16.114103Z","submitted_at":"2025-01-21T15:18:55Z","title":"Explainability for Vision Foundation Models: A Survey","version":1},"reference_index":250,"source":"pdf_text","source_observed_at":"2026-08-10T17:26:35.969938Z"},"links":{"cited_paper":"/paper/2312.02338","citing_paper":"/paper/2501.12203"},"observation_digest":"sha256:11e0e8de601ca3ae6733400293aa2812259bc104e5db2c3aae2d8d3f46ae5dca","observation_id":"a6584ee4-9f47-4f2f-b29d-84d7c3982228","resolution":{"observed_at":"2026-08-10T17:26:35.969938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02338","last_updated":"2023-12-11T07:58:36Z","snapshot_observed_at":"2026-08-11T06:28:09.000068Z","submitted_at":"2023-12-04T20:47:48Z","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02338","snapshot_observed_at":"2026-08-07T14:29:21.502877Z","title":"A contrastive compositional benchmark for text-to-image synthesis: A study with unified text-to-image fidelity metrics","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18730","last_updated":"2025-05-24T14:56:09Z","snapshot_observed_at":"2026-08-07T17:06:29.055596Z","submitted_at":"2025-05-24T14:56:09Z","title":"Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:29:21.502877Z"},"links":{"cited_paper":"/paper/2312.02338","citing_paper":"/paper/2505.18730"},"observation_digest":"sha256:3ec2516ff39af7b7cd077b81adee37600c076a441a36e1a121f72d63900e63b1","observation_id":"53f5a135-43f9-47b5-b72e-db4660a2314f","resolution":{"observed_at":"2026-08-07T14:29:21.502877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02338","last_updated":"2023-12-11T07:58:36Z","snapshot_observed_at":"2026-08-11T06:28:09.000068Z","submitted_at":"2023-12-04T20:47:48Z","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02338","snapshot_observed_at":"2026-08-07T10:30:29.150031Z","title":"A contrastive compositional benchmark for text-to-image synthesis: A study with unified text-to-image fidelity metrics","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05108","last_updated":"2025-06-05T14:53:34Z","snapshot_observed_at":"2026-08-09T23:44:31.302922Z","submitted_at":"2025-06-05T14:53:34Z","title":"DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:30:29.150031Z"},"links":{"cited_paper":"/paper/2312.02338","citing_paper":"/paper/2506.05108"},"observation_digest":"sha256:7cad20e2cd2437e839676f057532310a789bf7c18e6db7e4f483bb0b90f50c4c","observation_id":"b81d9de6-2ef1-43c8-97cc-b8ce2ce9268e","resolution":{"observed_at":"2026-08-07T10:30:29.150031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02338","last_updated":"2023-12-11T07:58:36Z","snapshot_observed_at":"2026-08-11T06:28:09.000068Z","submitted_at":"2023-12-04T20:47:48Z","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics","version":2},"cited_work":{"arxiv_id":"2312.02338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02338","snapshot_observed_at":"2026-07-04T03:39:29.326139Z","title":"A contrastive compositional benchmark for text-to-image synthesis: A study with unified text-to-image fidelity metrics.arXiv preprint arXiv:2312.02338, 2023","venue":null,"work_id":"654ab8c0-de98-42ba-8c03-b887e617b254","year":2023},"citing_paper":{"arxiv_id":"2606.20100","last_updated":"2026-06-18T11:20:05Z","snapshot_observed_at":"2026-08-05T19:44:52.217038Z","submitted_at":"2026-06-18T11:20:05Z","title":"WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T17:54:09.656061Z"},"links":{"cited_paper":"/paper/2312.02338","citing_paper":"/paper/2606.20100"},"observation_digest":"sha256:151223c946f91e534cd3ae3088318591eeb599a87a917552becf296b173799ed","observation_id":"8dd66c32-cfb3-488c-8cde-6df6baa043a0","resolution":{"observed_at":"2026-07-04T03:39:29.328626Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.02338/citation-record","integrity":"/paper/2312.02338/integrity","json":"/paper/2312.02338/citation-record.json","paper":"/paper/2312.02338"},"outbound":[],"paper":{"arxiv_id":"2312.02338","last_updated":"2023-12-11T07:58:36Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T06:28:09.000068Z","submitted_at":"2023-12-04T20:47:48Z","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.02338."}