{"as_of":"2026-08-15T06:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af79bf49dca5bfbdaa302304fcf2211aa210ab67939fc6cf248b806b48f4e321","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:48:24.916406Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T12:15:57.019720Z","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":"2026-05-21T12:20:07.000857Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"cited_work":{"arxiv_id":"2506.01493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.01493","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficiency without compromise: Clip-aided text-to-image gans with increased diversity.arXiv preprint arXiv:2506.01493","venue":null,"work_id":"33173e8f-1f0d-4d48-8bcb-0c9201f92489","year":null},"citing_paper":{"arxiv_id":"2603.02667","last_updated":"2026-05-17T06:09:20Z","snapshot_observed_at":"2026-08-14T19:41:58.179237Z","submitted_at":"2026-03-03T06:54:19Z","title":"Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T12:15:57.019720Z"},"links":{"cited_paper":"/paper/2506.01493","citing_paper":"/paper/2603.02667"},"observation_digest":"sha256:21949bafde0475425d24aa117612df05d99f02c14660723ff3bc3cb757735cb6","observation_id":"56d8ec0f-4eb1-4c16-b5f3-bfcd2d32aa12","resolution":{"observed_at":"2026-05-21T12:20:07.003891Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.01493/citation-record","integrity":"/paper/2506.01493/integrity","json":"/paper/2506.01493/citation-record.json","paper":"/paper/2506.01493"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:48:21.309313Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.309313Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:2e1116b8515ae7d1184231fd34389dd505a159ac813fa4b0a0599fd29fb65f07","observation_id":"1b22c9ac-6ae1-403d-9e50-75fe9c96eb70","resolution":{"observed_at":"2026-08-07T11:48:21.309313Z","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":"2026-08-07T11:48:31.896916Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":"10d845c7-f9fc-48f0-afd1-47de3ca4d420","year":2022},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.372370Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:7f1d76f08678e2718720eec8f3d21e25ed613f4ee636c94c13a53b230299a362","observation_id":"9997d9fd-335a-4f22-af5b-d1f1dc568e0c","resolution":{"observed_at":"2026-08-07T11:48:31.959571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:21.428099Z","title":"Hierarchical text-conditional image generation with clip latents,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.428099Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:a1303e6c2c08e4d41fb336f1257875be46ae2251dd39b5f2a2ce1eb44c612131","observation_id":"6d53184c-9fee-43e8-bdba-11a31af62178","resolution":{"observed_at":"2026-08-07T11:48:21.428099Z","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":"2026-08-07T11:48:31.690673Z","title":"Generative adversarial nets,","venue":null,"work_id":"7e2dec41-533a-4d58-8ae8-ebd5ba11afb2","year":2014},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.496918Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:22cb5c401bd03a42d6a01c10437dae2d10248c12bf20048b9df28adbcb4b1509","observation_id":"34bd5f5b-abef-4629-8b27-f2bfe933bca6","resolution":{"observed_at":"2026-08-07T11:48:31.786391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:31.462309Z","title":"Tackling the generative learning trilemma with denoising diffusion GANs,","venue":null,"work_id":"4aff69a4-a42e-4e33-a2d8-5d0142826140","year":2022},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.602803Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:e4505c58f64a04599127564c2f1b67c57a7279fe9a412eef7e40133abc975177","observation_id":"e25ee1ed-c177-45e2-8a00-57d2cea3dd07","resolution":{"observed_at":"2026-08-07T11:48:31.562965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:31.263466Z","title":"StyleGAN- t: Unlocking the power of GANs for fast large-scale text-to-image synthesis,","venue":null,"work_id":"5e790305-d40c-4162-90b9-edbca52ef839","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.707531Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:535b92a95f0ffe936614652fb0de1b6d341e8d76e957ab6b42c26f71fd18470f","observation_id":"f3185b3d-bd33-4156-88ef-818024050e7b","resolution":{"observed_at":"2026-08-07T11:48:31.345696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:31.056586Z","title":"Scaling up gans for text-to-image synthesis,","venue":null,"work_id":"3f296bf1-213d-4846-9549-3a1ef89312b1","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.768740Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:9993dfe9de7ff032b1177c32bbf5efe575b0996e8bc09fc2797ab976b15e4841","observation_id":"c5eeeb49-5364-4eb2-a336-c19be6c5328e","resolution":{"observed_at":"2026-08-07T11:48:31.173376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15798","last_updated":"2024-12-02T12:58:23Z","snapshot_observed_at":"2026-08-13T11:33:46.339949Z","submitted_at":"2023-05-25T07:28:28Z","title":"BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15798","snapshot_observed_at":"2026-08-07T11:48:21.827065Z","title":"Bk-sdm: A lightweight, fast, and cheap version of stable diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.827065Z"},"links":{"cited_paper":"/paper/2305.15798","citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:c0e37dbdbe36d6bda6e06c189e798420582a1554dd92d9d8af1f00c7d0c37f51","observation_id":"6432e888-f2d1-489f-9cfb-ae386517ecce","resolution":{"observed_at":"2026-08-07T11:48:21.827065Z","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":"2026-08-07T11:48:21.873397Z","title":"Emerging properties in self-supervised vision transformers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.873397Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:5499b31b633b22293cf732afaa396ffc91bf90040c7721574a3af302fca52d90","observation_id":"bb6a810a-17d4-4a66-8871-fa61062f202e","resolution":{"observed_at":"2026-08-07T11:48:21.873397Z","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":"2026-08-07T11:48:30.872285Z","title":"Learning transferable visual models from natural language supervi- sion,","venue":null,"work_id":"6d418820-27a9-4ebd-88d8-9cdd80317c6e","year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:21.913164Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:458519dd9f88990150bc76e9535489b157927bc1b0181ab1fea3fbee74f4a9f5","observation_id":"7265201f-95b0-4ccd-b516-1c21c0d4ea3e","resolution":{"observed_at":"2026-08-07T11:48:30.945177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:30.679029Z","title":"Projected gans con- verge faster,","venue":null,"work_id":"799c7a40-5155-4a24-9b26-beb8f5b726e0","year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.007259Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:b30c0c3d14b67eafac1e7e46028ed4a87830aabaa9abc5a3be6a13be55e075e4","observation_id":"178ea243-6291-49eb-a389-476dd8d1071a","resolution":{"observed_at":"2026-08-07T11:48:30.764095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:30.472670Z","title":"Galip: Generative adversarial clips for text-to-image synthesis,","venue":null,"work_id":"350ee697-6ff5-4e17-8071-dd35863ac2c6","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.147366Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:f25fa451b1095e33e85e1ed6b17f6079cba1454c7e481edbbdcda009fc349596","observation_id":"b5c9e820-77bd-455a-88d3-4b910e75f212","resolution":{"observed_at":"2026-08-07T11:48:30.588356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:30.199352Z","title":"SAN: Inducing metrizability of GAN with discrimi- native normalized linear layer,","venue":null,"work_id":"16aad49b-1bd6-44c0-9184-1276ae1ef7bb","year":2024},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.236927Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:e7af2cd83e9bc5c3820d2735b7b6e2230423e301943fd033786408c744893563","observation_id":"be5d6671-2b6c-4317-a5e0-3b5de4e6e55a","resolution":{"observed_at":"2026-08-07T11:48:30.323603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:22.387560Z","title":"A mathematical theory of communication,","venue":null,"work_id":null,"year":1948},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.387560Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:dab91e1d95eb4b6faf6776861535200059c4e35315bd4e47bc8a93bbac92f255","observation_id":"a8c38d72-a200-4299-95fb-d6c3d7ac8c41","resolution":{"observed_at":"2026-08-07T11:48:22.387560Z","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":"2026-08-07T11:48:30.010904Z","title":"A question of terminology,","venue":null,"work_id":"4ce3f04f-a096-4615-bc4f-2de46fc08b3d","year":1957},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.496690Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:cfc3e89389fc005844ad214b6c3927996480e191963b45b3540e37c9ac6138fc","observation_id":"5478951b-7476-41b8-bd73-540b0b1610e0","resolution":{"observed_at":"2026-08-07T11:48:30.081362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:29.769218Z","title":"Mutual information neural estimation,","venue":null,"work_id":"63b90015-8179-4886-8254-41e0061dad76","year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.589945Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:eb7ccfa2ba7e12865a6dd8b1b9b9f7e3216bd5b1e325078ac64a49bcfdc3c878","observation_id":"81dcc0b4-a22d-4ce2-b612-0dd0a1749406","resolution":{"observed_at":"2026-08-07T11:48:29.934040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:29.579917Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":"4c5cb107-1234-4051-96bd-6ad5bffb2b0d","year":2017},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.687233Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:dc81e324f0b0bdfd25ff27c8962e06ca98b6be773c16242cd245ddd6e25984eb","observation_id":"25577f8d-ed32-4ca5-ae12-afd3f77cf041","resolution":{"observed_at":"2026-08-07T11:48:29.663897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:29.433524Z","title":"Improved techniques for training gans,","venue":null,"work_id":"84239f86-737f-4aeb-84d5-9ea9ee9d24b6","year":2016},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.810236Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:428d0b425413e8ba644759f5f9485fe64c5e0f7143224c3a25553a213de7df69","observation_id":"cbf92009-f26e-40cd-88a5-6fc1f450fa42","resolution":{"observed_at":"2026-08-07T11:48:29.507939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:29.226030Z","title":"Df- gan: A simple and effective baseline for text-to-image synthesis,","venue":null,"work_id":"876da973-1d0f-46c2-9ad8-c32da0341d7d","year":2022},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.873564Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:21dcba555c477c4d8b4a7658ef14c55a19e1acc77278a9845ddeb04695bc1382","observation_id":"a0255be6-1b84-428a-a922-360d0f720ef0","resolution":{"observed_at":"2026-08-07T11:48:29.337138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:29.064207Z","title":"A style-based generator architecture for generative adversarial networks,","venue":null,"work_id":"c5b28480-4417-4061-81f4-86614fccf5bf","year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:22.936412Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:90b38c56a29ca39b67f11331890aad79f00c0127b0f782dc39e5c4400f6dc8ac","observation_id":"9b10357d-00c4-4472-84b4-a0d0f92cc70f","resolution":{"observed_at":"2026-08-07T11:48:29.119034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:28.884822Z","title":"Understanding noise injection in gans,","venue":null,"work_id":"f6023f95-2fe5-4603-a065-07d55cb77fd7","year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.018196Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:466bf3a8a4512cf9cf2930ef0192265912b87c2bea22a99ad7cf9797d0a3a6fb","observation_id":"d019e3dc-b728-42b9-8d88-b3cffb2053aa","resolution":{"observed_at":"2026-08-07T11:48:28.970952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:28.681836Z","title":"The caltech-ucsd birds-200-2011 dataset,","venue":null,"work_id":"69bc0ce8-abeb-4388-b7e2-f956b60881d3","year":2011},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.086569Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:d32d05ffce83022bb0865a532ae834c47df30f45d48299cdedc67b74e86548da","observation_id":"5414ea35-ca51-46d6-8567-ba51b3dccf45","resolution":{"observed_at":"2026-08-07T11:48:28.778474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:28.522438Z","title":"Improving the improved training of wasserstein GANs,","venue":null,"work_id":"f60b0528-924c-44a1-b85d-d871686aebeb","year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.167988Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:c4c3d5ad01448c66bca24dbd2a26a67041fab9be6bd973509dd6adb21ea292f7","observation_id":"e87b0334-74e1-4e76-94ab-50e424afee28","resolution":{"observed_at":"2026-08-07T11:48:28.587857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:23.247051Z","title":"Unpaired image-to-image translation using cycle-consistent adversarial networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.247051Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:091e2c7fefd9338e6137133932444fb317d3fa5c47724a5d3b26e142d8eb784a","observation_id":"0041286b-707b-4db1-a806-ac5b8cdff096","resolution":{"observed_at":"2026-08-07T11:48:23.247051Z","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":"2026-08-07T11:48:23.377472Z","title":"Taming transformers for high- resolution image synthesis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.377472Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:3fce5b362406a196044fcd9f9e53421fb45bf23b29becab0ab296bb66d652339","observation_id":"3d5ee203-a870-4428-813d-91430b7dc916","resolution":{"observed_at":"2026-08-07T11:48:23.377472Z","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":"2026-08-07T11:48:23.483346Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.483346Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:a379beda0b41cfa30a65eaed2f587291490de54545a07325806b02a00080c17a","observation_id":"a376d888-2a73-469a-b963-83535cd9174c","resolution":{"observed_at":"2026-08-07T11:48:23.483346Z","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":"2026-08-07T11:48:28.346923Z","title":"Generating sentences from a continuous space,","venue":null,"work_id":"1219e93e-941f-459e-9f98-f73420e0ede9","year":2016},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.536235Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:89d267ff04834ad94924ebf9783178b2105b5757251c14f86f9529239061388f","observation_id":"6f0623c7-d76f-44ab-ab9f-99b39f36b765","resolution":{"observed_at":"2026-08-07T11:48:28.417808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:28.154104Z","title":"Infogan: interpretable representation learning by information maximizing generative adversarial nets,","venue":null,"work_id":"a09288e8-9d41-4c3e-b31d-db31203bea33","year":2016},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.627367Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:31a34b961e53a420e72b0127fa1193c65e4331e59f0dd9510b094aa6d2329e62","observation_id":"59c2133c-76f7-4327-8eb6-560bbd6ed779","resolution":{"observed_at":"2026-08-07T11:48:28.284615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:28.025722Z","title":"The im algorithm: a variational approach to information maximization,","venue":null,"work_id":"8931e12b-3401-47de-8d72-cb3119cf56a4","year":2003},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.768009Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:3c193b1d07913ab7a36255f4408a969f86ecda063cf5bdfb2d63968fdfd688f5","observation_id":"fa23f259-79b9-4cd2-afc5-2ce30bb894ab","resolution":{"observed_at":"2026-08-07T11:48:28.083342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:23.845971Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.845971Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:15e4ce3d3c4b11e004cde610ab68d629e0a66ab5722a871e471dd83c4f42cdb6","observation_id":"889b78c6-7b0c-4d5a-a8ef-0142bb979dc8","resolution":{"observed_at":"2026-08-07T11:48:23.845971Z","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":"2026-08-07T11:48:27.804920Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject- driven generation,","venue":null,"work_id":"a50c5d4f-9f0b-4ccb-8de6-87107dba94cc","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.916104Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:f4df5a185d25c01a84788668c6c26a5ebe5ee114ebd2532558c63da32984bc0c","observation_id":"6a0d42cc-05aa-41d6-add9-ca2d100a11bc","resolution":{"observed_at":"2026-08-07T11:48:27.899102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:23.962036Z","title":"DINOv2: Learning robust visual features without supervision,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:23.962036Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:8e10046c3f202b0f58b508b91f42541cf8e03e5d0d06258cf6bcbce97742d932","observation_id":"45648f3d-b627-41df-be9a-509c154dfee0","resolution":{"observed_at":"2026-08-07T11:48:23.962036Z","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":"2026-08-07T11:48:27.611256Z","title":"Vision transformers need registers,","venue":null,"work_id":"e29b5dce-0ea7-472c-ae5f-ca0038a62551","year":2024},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.036278Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:482236ce62f4dcb4da3f79295ae5f4b895a0f5b3c61ce78c2f2ba939da9a2232","observation_id":"c4508a9b-810f-4a92-b931-4217b49b0460","resolution":{"observed_at":"2026-08-07T11:48:27.707443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:27.409156Z","title":"The role of imagenet classes in fr ´echet inception distance,","venue":null,"work_id":"8fc80e6e-2388-459e-96ab-4a88682b1761","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.112603Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:43d9abed75d1abb066efe431f9157bfa03cfce8bc70db9c6f814578a258dc9e5","observation_id":"f366e0ae-ea60-4131-9234-27c85c4b4868","resolution":{"observed_at":"2026-08-07T11:48:27.471320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:24.186057Z","title":"Openclip,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.186057Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:51c87d32b1bc04a57876d029c2ac75017e976c786550c8dbb16a6c0857dd455d","observation_id":"d9c90ff8-92f9-4b8d-8f9f-369d1eab8dde","resolution":{"observed_at":"2026-08-07T11:48:24.186057Z","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":"2026-08-07T11:48:27.216008Z","title":"Microsoft coco: Common objects in context,","venue":null,"work_id":"e1bd2744-6dc1-4c81-83a1-162505bfc296","year":2014},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.229574Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:5133392ab4d980fc1117731cfda90cf349a63ca33015b4a60ffccb99c44a0483","observation_id":"229e2b65-56b9-411c-88c0-be8fdd55cd56","resolution":{"observed_at":"2026-08-07T11:48:27.298146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:27.061160Z","title":"Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts,","venue":null,"work_id":"fcd0c7e8-daf2-4302-ac69-45e4b1ac7124","year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.303252Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:055c7508c515b59492273e4dcd62b90bd51787b6e7f7474f55dc4e68fa66af78","observation_id":"1e6196ab-8f40-428b-912d-ee0a9ff42133","resolution":{"observed_at":"2026-08-07T11:48:27.169881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:24.348935Z","title":"Classifier-free diffusion guidance,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.348935Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:a71428f6a07cbc583062382e020806ec2847979a426dd9667af844f16f2de5e5","observation_id":"a7ab0464-09ac-4a54-9e3f-27a2fa75a429","resolution":{"observed_at":"2026-08-07T11:48:24.348935Z","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":"2026-08-07T11:48:26.844361Z","title":"Generative adversarial text to image synthesis,","venue":null,"work_id":"25fa3dd4-a126-4763-8aa4-5c03371a57ec","year":2016},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.401224Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:d688a66420f06562f8bd8573342cd383fb1e21dd3e73e28f7438c939e9c4a4be","observation_id":"39ad201b-1867-423a-a6e4-17bfb71389f6","resolution":{"observed_at":"2026-08-07T11:48:26.950808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:26.671092Z","title":"Stackgan: Text to photo-realistic image synthesis with stacked gener- ative adversarial networks,","venue":null,"work_id":"bde3ff07-c000-4d8b-87d1-b875e424e72e","year":2017},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.447630Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:f984a98105f4a11ad1c8472baa2d2a141e1280afba569f74172b552006cbaf5f","observation_id":"a03b132f-5371-4507-b5a1-0f3935a7447c","resolution":{"observed_at":"2026-08-07T11:48:26.739129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:26.463712Z","title":"Attngan: Fine-grained text to image generation with attentional generative adversarial networks,","venue":null,"work_id":"a0e11fba-ce20-4466-865c-c71d68b02301","year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.479413Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:4c767a8fbc494caa9ba603f08135bc7d1bed1119ef6021f7972624cbb42a718a","observation_id":"ee2fde81-1da8-4ca3-8d69-d0e0cbeaa1c7","resolution":{"observed_at":"2026-08-07T11:48:26.559952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:26.325657Z","title":"Cross-modal contrastive learning for text-to-image generation,","venue":null,"work_id":"724c1810-42d8-4dd1-a3a6-68b4a3680793","year":2021},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.540817Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:574cff814e52bb248c99aa79fbb234955e6c717f17b8c3406a61dcf266e895ec","observation_id":"a8b993a8-3b32-4dbf-b92d-5112519cb1a3","resolution":{"observed_at":"2026-08-07T11:48:26.404813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:26.108211Z","title":"Towards language-free training for text-to-image generation,","venue":null,"work_id":"1cf61a22-c2ea-45ac-adc0-81ac824991e1","year":2022},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.580899Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:e66126c6132221cf9d83be2eec363bbde45dec9877530c32d236c65316c36f5a","observation_id":"9d8701ba-e2a5-4f3e-a825-bcb4fa4df8dd","resolution":{"observed_at":"2026-08-07T11:48:26.232641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:25.916251Z","title":"Spectral normal- ization for generative adversarial networks,","venue":null,"work_id":"2d9b756f-317c-4336-b404-dc250db5a377","year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.628777Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:15b2613eaf29994c0f4a23d17d2bb82b5c086da5f2851d47811dcc6a2bf65bcb","observation_id":"61049efb-024b-46db-833f-a489f6b32274","resolution":{"observed_at":"2026-08-07T11:48:26.003875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:24.669557Z","title":"Progressive growing of GANs for improved quality, stability, and variation,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.669557Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:152786ca139de7be551d3341fbe99fde4dca4bb49825386df043514125cc23ef","observation_id":"f99a47ec-41dd-4251-bc7d-e30b51765bdb","resolution":{"observed_at":"2026-08-07T11:48:24.669557Z","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":"2026-08-07T11:48:25.677075Z","title":"De- mystifying MMD GANs,","venue":null,"work_id":"322f469b-8131-4066-a82e-aa7a238203d1","year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.726157Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:0c13fd589bf932565477c77b16504aea72aad66e0b7121418dbeccfb323bb226","observation_id":"16b384d6-3860-44e7-bbc4-426056cd0e3e","resolution":{"observed_at":"2026-08-07T11:48:25.784013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:25.494539Z","title":"Assessing Generative Models via Precision and Recall,","venue":null,"work_id":"c53ef4cc-30a1-4401-a6f5-05b27281cb48","year":2018},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.801939Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:a1cf66006b31a9dac37a717f6ebc8feb6b0095e2bcdf9a8aef3b92ce67ae54b9","observation_id":"218e3f23-5d10-41f5-a4d5-4aba9edde922","resolution":{"observed_at":"2026-08-07T11:48:25.609650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:25.234969Z","title":"Kynk ¨a¨anniemi, T","venue":null,"work_id":"eabb9fea-7ab5-4ea7-8217-f85a39fc4ae7","year":2019},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.837129Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:ed5e2808a252eac020e057e1792a9e65fb484694406efb7b96d4618668acfe92","observation_id":"9028da06-c28f-4ddb-927b-7bfe31da4a70","resolution":{"observed_at":"2026-08-07T11:48:25.316097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:25.140669Z","title":"Feature likelihood score: Evaluating the generalization of generative models using samples,","venue":null,"work_id":"f557f67e-2304-43e0-86d3-913496c9044c","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.876575Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:eee1ca650537eac2386410a299f22c08d8b947137533068e5b3d98e5f6ee044f","observation_id":"a8f48b58-a5a4-49b8-883a-4e8e03809c28","resolution":{"observed_at":"2026-08-07T11:48:25.172225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T11:48:25.037998Z","title":"Holistic evaluation of text-to-image models,","venue":null,"work_id":"46491b8a-56fd-4b33-ae30-c25d92b329c5","year":2023},"citing_paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:48:24.916406Z"},"links":{"citing_paper":"/paper/2506.01493"},"observation_digest":"sha256:038aa444f1d88d183a5e5ef2101a2e906553f795d08126899410cdf51a9a9a8e","observation_id":"3ac4314f-88f1-4ba7-8668-d9d4a18f2ca9","resolution":{"observed_at":"2026-08-07T11:48:25.087291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.01493","last_updated":"2025-06-02T09:54:41Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T11:37:30.656438Z","submitted_at":"2025-06-02T09:54:41Z","title":"Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":37},"total_outbound_references":50},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.01493."}