{"as_of":"2026-08-11T13:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cf473b5d8bf065af4fc793b616aaa19b2452c1e7972a7c45b39f9206c8cdf1da","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T01:06:40.994935Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2508.04732/citation-record","integrity":"/paper/2508.04732/integrity","json":"/paper/2508.04732/citation-record.json","paper":"/paper/2508.04732"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.35450","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:06:43.046918Z","title":"IEEE Trans","venue":null,"work_id":"28653757-abd6-41ae-90c1-50ebc60ed6d2","year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.285107Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:2611f366d54044b510c1ac66d6212cf5b197b2ef78d7feed2057b5707bdde94b","observation_id":"4b7631e3-4de2-4835-84d7-d9cbbae8a4dc","resolution":{"observed_at":"2026-08-06T01:06:43.137692Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:37.368550Z","title":"Frontiers Comput","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.368550Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:9335c562367dab7bfc76c5465785e01655cb01312ccad0221b7043819ab1dd20","observation_id":"10f71702-5782-430d-bbf0-f690e7f5e93d","resolution":{"observed_at":"2026-08-06T01:06:37.368550Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T01:06:44.495097Z","title":"In: Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024","venue":null,"work_id":"e3f21983-9603-44f8-8236-43c5fc862ecc","year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.466693Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:24686797438ad90e1c233379a22d811a0e8f76b7f6e5ac163a4a79b3fd22ad71","observation_id":"50217882-25c1-4193-8583-dc5e6647179f","resolution":{"observed_at":"2026-08-06T01:06:44.497372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07398","last_updated":"2024-06-20T14:44:14Z","snapshot_observed_at":"2026-07-06T17:28:43.842260Z","submitted_at":"2024-02-12T04:13:16Z","title":"VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07398","snapshot_observed_at":"2026-08-06T01:06:37.566702Z","title":"arXiv preprint arXiv:2402.07398 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.566702Z"},"links":{"cited_paper":"/paper/2402.07398","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:77c43dfc9c410a31f374313521f8a0c0545e3979b71c1bd06327021385d16f31","observation_id":"429721f1-8f02-4a7f-bad0-4ec24c2a9061","resolution":{"observed_at":"2026-08-06T01:06:37.566702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01377","last_updated":"2025-06-02T09:56:36Z","snapshot_observed_at":"2026-08-11T01:20:05.033313Z","submitted_at":"2025-01-02T17:37:20Z","title":"Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01377","snapshot_observed_at":"2026-08-06T01:06:37.622380Z","title":"arXiv preprint arXiv:2501.01377 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.622380Z"},"links":{"cited_paper":"/paper/2501.01377","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:d7d68acbd8b4c4b6a6cd6f359fbaf21c3f809e9aca3685597eac597ff7a5c18b","observation_id":"8fcc7804-9bc2-4a5f-8977-3307f67d1b29","resolution":{"observed_at":"2026-08-06T01:06:37.622380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24787","last_updated":"2025-05-30T16:48:14Z","snapshot_observed_at":"2026-08-07T15:30:21.145991Z","submitted_at":"2025-05-30T16:48:14Z","title":"Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24787","snapshot_observed_at":"2026-08-06T01:06:37.738471Z","title":"arXiv preprint arXiv:2505.24787 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.738471Z"},"links":{"cited_paper":"/paper/2505.24787","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:fe4b1ffa35abea0bc6cfdcc71afe1ace694f4d820f20f0ba20feb5d8083470a2","observation_id":"e802767c-5a96-4e20-90fd-f48a56ced6a5","resolution":{"observed_at":"2026-08-06T01:06:37.738471Z","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":"2026-08-06T01:06:37.825259Z","title":"In: IEEE/CVF Win- ter Conference on Applications of Computer Vision, WACV 2025 - Workshops, Tucson, AZ, USA, February 28 - March 4, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.825259Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:78fb98a39c148e766d1926fcb0d0c13b52f9084cfaefe6b425d0cb44ae8a5212","observation_id":"bc8ac959-ce4e-461d-9539-87bb80feb7be","resolution":{"observed_at":"2026-08-06T01:06:37.825259Z","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":"2026-08-06T01:06:44.488933Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025","venue":null,"work_id":"c256dd23-a9a8-4541-a662-ff6ce46359c6","year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.880947Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:9ea107e33d76cd23c452cfc30c23b69a769090b63e6a7cd3a47d37ecdbe12ef6","observation_id":"40304d6d-b77b-4910-bfcf-74823ece65a5","resolution":{"observed_at":"2026-08-06T01:06:44.491049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17811","last_updated":"2025-01-29T18:00:19Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-29T18:00:19Z","title":"Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.17811","snapshot_observed_at":"2026-08-06T01:06:37.949233Z","title":"CoRR (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:37.949233Z"},"links":{"cited_paper":"/paper/2501.17811","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:03bf835feae4873d07ec525921a742a70060f5a389ad598e99be863c30a66e4a","observation_id":"9b06d272-8464-4878-aff5-4b5563efa701","resolution":{"observed_at":"2026-08-06T01:06:37.949233Z","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":"2026-08-06T01:06:44.482828Z","title":null,"venue":null,"work_id":"63d8654e-4870-4303-86f5-1a987cce109e","year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.041306Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:8250986d89cb5893946a7b143db8ca490b4cb8a89cf8ffe379ee687d3b5c0099","observation_id":"9df51ae9-4eff-4e4e-997f-8c5248620fc4","resolution":{"observed_at":"2026-08-06T01:06:44.484997Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.12830","last_updated":"2025-06-15T12:22:55Z","snapshot_observed_at":"2026-08-09T11:19:36.846193Z","submitted_at":"2025-06-15T12:22:55Z","title":"ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.12830","snapshot_observed_at":"2026-08-06T01:06:38.118871Z","title":"arXiv preprint arXiv:2506.12830 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.118871Z"},"links":{"cited_paper":"/paper/2506.12830","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:c6dc46d06ea47673578f34150e55167aa51bf43f3726834168635b8a6e43e5e2","observation_id":"bd99fa69-f2f5-466f-8eed-6ac76ce9d719","resolution":{"observed_at":"2026-08-06T01:06:38.118871Z","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":"2026-08-06T01:06:38.262377Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.262377Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:83ee636634c17efc7e5f23f2db9e40b830dd08919429e42ca7dfb648a097f4af","observation_id":"dfb5966a-031b-46ef-8376-13ddfdacef49","resolution":{"observed_at":"2026-08-06T01:06:38.262377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09781","last_updated":"2023-07-19T06:56:07Z","snapshot_observed_at":"2026-08-10T12:28:15.378133Z","submitted_at":"2023-07-19T06:56:07Z","title":"Text2Layer: Layered Image Generation using Latent Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09781","snapshot_observed_at":"2026-08-06T01:06:38.409087Z","title":"CoRR (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.409087Z"},"links":{"cited_paper":"/paper/2307.09781","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:ba01d13e7163e33a50affbff5d674af17887cba413ac878911a31f916d1080e7","observation_id":"617461af-1824-4a3e-9db0-06c2abcef83a","resolution":{"observed_at":"2026-08-06T01:06:38.409087Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:06:42.658959Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022","venue":null,"work_id":"cdf96515-ceba-47e1-ad41-f1b777b3cf57","year":2022},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.517600Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:fb143175bc84746b6a4f0665e6229b51e5c4b1bc732bf643388ed0dcca4cc9a0","observation_id":"13192af1-8142-4e3e-a005-9e8ad78d7a2e","resolution":{"observed_at":"2026-08-06T01:06:42.751411Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:44.475335Z","title":null,"venue":null,"work_id":"5446adf6-d2e1-4515-a9a0-84cf14e6209c","year":2022},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.633107Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:132975ff164a8baddfaf559ca987f1dbbb93ed1f5886ea9920c9bc96d9ad099e","observation_id":"f1eb3bf8-db0f-4e82-b017-578aa40fdde8","resolution":{"observed_at":"2026-08-06T01:06:44.478463Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-78172-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:07:33.414567Z","title":"In: Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VI","venue":"Lecture notes in computer science","work_id":"3814c92d-d5e5-4f5d-98ba-377670996a79","year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.751625Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:7421264b420d3c474a4168d92fca7f212c3049fcc89a56762a44fe0b893edea1","observation_id":"1ddc5045-758d-4414-8b32-79f8d2d15a2d","resolution":{"observed_at":"2026-08-06T01:06:42.046905Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.00243","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:06:42.445476Z","title":"In: IEEE Conference on Computer Vi- sion and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019","venue":null,"work_id":"c01b688d-0ac2-4169-be1c-0c854f4485f5","year":2019},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.855452Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:de0054729fc6a030d93eb37d86eaede807909c147ac59487dfb1a08fec65bdbb","observation_id":"1c29dd53-b8bb-4f89-ab82-24aedecd50ee","resolution":{"observed_at":"2026-08-06T01:06:42.555344Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:38.967865Z","title":"IEEE Trans","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:38.967865Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:aafca4912bedc30729db1d3a3d7d78d3de36cb53f1606b62168c52b3e3ecba3c","observation_id":"a2bb7944-fcd4-4b0c-9ebe-36efd181c69d","resolution":{"observed_at":"2026-08-06T01:06:38.967865Z","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":"2026-08-06T01:06:39.134924Z","title":"IEEE Trans","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:39.134924Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:8a00da8df4adb67e9414427a020ef79577c16894ecd58dcee7c6b877c75c14f8","observation_id":"37934633-67d8-42b8-81ec-79bb37dc0054","resolution":{"observed_at":"2026-08-06T01:06:39.134924Z","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":"10.48550/arxiv.2411.06284","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:06:41.685402Z","title":"CoRR (2024)","venue":null,"work_id":"8b75dbce-3bb0-4564-b10b-87f7fd6fac27","year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:39.350505Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:d3d61ae7ad48c7d70f08fc1d56a79819b66a1b58b016416795c10743eb2853dc","observation_id":"d3d78848-0ff3-4afa-84f2-fdc8f4010686","resolution":{"observed_at":"2026-08-06T01:06:41.805557Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:44.264569Z","title":"In: The Thirteenth International Conference on Learning Representations (2025)","venue":null,"work_id":"1297abb1-b1d2-482f-b847-4107a9fb7807","year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:39.483441Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:ce7bf6d2c1090b9d9cb95d573040e03b72efeb085b3efa60ef375b44100d370a","observation_id":"5f0c1e60-6339-4654-93e7-fb267c4d1592","resolution":{"observed_at":"2026-08-06T01:06:44.392165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.48550/arxiv.2404.07214","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"CoRR (2024)","venue":"arXiv (Cornell University)","work_id":"d2dfeb97-ed28-40ab-8438-9512416c13c1","year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:39.655787Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:a38d4be12eaf6614a65245a72a70112d7b2059728398f7933f903602ae4a8374","observation_id":"27ee2b96-b4c7-4119-9d67-164076aaebc3","resolution":{"observed_at":"2026-08-06T01:06:41.480308Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:43.897861Z","title":null,"venue":null,"work_id":"6282ef78-6c26-4bb9-8128-ec37047346d3","year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:39.835893Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:730047f2fb03ea7d81e878c0dc8b2a6bd9c87118ada989e3e3f5930da1a4d5a3","observation_id":"ffffa882-3578-41ba-a2a0-12a6ea606d73","resolution":{"observed_at":"2026-08-06T01:06:44.051141Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03963","last_updated":"2024-06-14T03:42:17Z","snapshot_observed_at":"2026-07-06T14:02:32.637793Z","submitted_at":"2022-10-08T08:07:47Z","title":"SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03963","snapshot_observed_at":"2026-08-06T01:06:39.962276Z","title":"arXiv preprint arXiv:2210.03963 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:39.962276Z"},"links":{"cited_paper":"/paper/2210.03963","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:bc12950dd50bcff0e284ebf2afd83e2b6e4f7e4244ed06ef3bfc655cff523872","observation_id":"887e4c50-0eb6-4f78-b19d-944a96cb3107","resolution":{"observed_at":"2026-08-06T01:06:39.962276Z","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":"2026-08-06T01:06:43.569888Z","title":"In: Findings of the Association for Computational Linguistics: EACL 2023","venue":null,"work_id":"6b58363f-5bab-482f-b783-eeaad2d55a1a","year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.065648Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:693d09fe2df4d88849432440d18df1db270505c489263c479251b7c1b295dffd","observation_id":"34d178a2-02e8-4b18-a5ac-1f3a19b93987","resolution":{"observed_at":"2026-08-06T01:06:43.739452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:43.362075Z","title":"In: ICASSP 2021-2021 IEEE International Conference onAcoustics,SpeechandSignalProcessing(ICASSP).pp.7598–7602.IEEE(2021)","venue":null,"work_id":"488fbbd3-d7a5-4a19-a136-1d2dddf585f1","year":2021},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.162429Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:bfac040724de278ad4707763ea2daa4f5336eb29b070499797bd6cfe560972f4","observation_id":"7843cc71-8ab2-4f65-b736-546fad2e4b13","resolution":{"observed_at":"2026-08-06T01:06:43.435912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T01:06:43.195127Z","title":null,"venue":null,"work_id":"18df9e38-dae4-4df5-81e6-b80acc0a01eb","year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.263909Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:afff2242097df2563947e6f67f029552e56c11523349fca10915c0eee2db9e84","observation_id":"14006ba9-d773-4d86-ae07-ca16572aea84","resolution":{"observed_at":"2026-08-06T01:06:43.281477Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.19835","last_updated":"2025-06-24T17:52:43Z","snapshot_observed_at":"2026-08-06T22:59:26.083658Z","submitted_at":"2025-06-24T17:52:43Z","title":"MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.19835","snapshot_observed_at":"2026-08-06T01:06:40.395376Z","title":"arXiv preprint arXiv:2506.19835 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.395376Z"},"links":{"cited_paper":"/paper/2506.19835","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:d15a755288df93ee5b33deea83ba85be65fc3e0ce8a868de96096dd98a5ae639","observation_id":"38cac1a9-e482-47a4-beb8-cd3c4b13a97c","resolution":{"observed_at":"2026-08-06T01:06:40.395376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12432","last_updated":"2025-05-25T13:59:04Z","snapshot_observed_at":"2026-08-10T21:42:18.716618Z","submitted_at":"2025-01-21T16:49:08Z","title":"Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12432","snapshot_observed_at":"2026-08-06T01:06:40.532495Z","title":"arXiv preprint arXiv:2501.12432 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.532495Z"},"links":{"cited_paper":"/paper/2501.12432","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:a175cc26c9aeea9124bce5b3c0b8b7c3c1f72b12ab20f3057edd5a552fe017bf","observation_id":"6ee469dd-18a8-4af0-8e15-c024e9f25f0a","resolution":{"observed_at":"2026-08-06T01:06:40.532495Z","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":"2026-08-06T01:06:40.637968Z","title":"In: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.637968Z"},"links":{"citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:92d9c60575d76804b035eb5183012b0947d24689b5c8c2f93f55f8805ddaf0dd","observation_id":"00ef430a-14fa-44c6-a394-d0b1b7922a4b","resolution":{"observed_at":"2026-08-06T01:06:40.637968Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06166","last_updated":"2024-09-10T02:36:13Z","snapshot_observed_at":"2026-08-09T11:38:41.030789Z","submitted_at":"2024-09-10T02:36:13Z","title":"Revisiting Prompt Pretraining of Vision-Language Models","version":1},"cited_work":{"arxiv_id":"2409.06166","doi":"10.48550/arxiv.2409.06166","metadata_source":"pith","pith_arxiv_id":"2409.06166","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Revisiting Prompt Pretraining of Vision-Language Models","venue":"cs.CV","work_id":"66a32fcf-784e-42b2-9d64-6077e2f80210","year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.775709Z"},"links":{"cited_paper":"/paper/2409.06166","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:36b5a94cb4637527d49d12c044bbd8bac8674e3925e462cf471c4fbcfc2d98af","observation_id":"1efc1435-66e5-4de9-87ca-6ab05e1fc527","resolution":{"observed_at":"2026-08-06T01:06:41.192169Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16829","last_updated":"2025-05-22T23:42:09Z","snapshot_observed_at":"2026-08-11T10:13:10.334438Z","submitted_at":"2024-12-22T02:35:57Z","title":"Visual Prompting with Iterative Refinement for Design Critique Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16829","snapshot_observed_at":"2026-08-06T01:06:40.886282Z","title":"CoRR (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.886282Z"},"links":{"cited_paper":"/paper/2412.16829","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:57156c91e7f060e8769dcc04193b432cc8066ae3208a808d72fd87190a77e39a","observation_id":"f4ac5a09-51b0-4eab-b3c4-21e833292d3e","resolution":{"observed_at":"2026-08-06T01:06:40.886282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24787","last_updated":"2025-05-30T16:48:14Z","snapshot_observed_at":"2026-08-07T15:30:21.145991Z","submitted_at":"2025-05-30T16:48:14Z","title":"Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24787","snapshot_observed_at":"2026-08-06T01:06:40.994935Z","title":"CoRR (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T01:06:40.994935Z"},"links":{"cited_paper":"/paper/2505.24787","citing_paper":"/paper/2508.04732"},"observation_digest":"sha256:cae56ffecca9dd5e0f2992289a9b07322b5bceaeed929c9664a721e7799e3d8f","observation_id":"034fb7ef-0c3a-441f-bd64-98a415ee6e30","resolution":{"observed_at":"2026-08-06T01:06:40.994935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.04732","last_updated":"2025-08-05T20:53:43Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T13:23:18.145365Z","submitted_at":"2025-08-05T20:53:43Z","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":2,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":19,"verified_exact":6,"verified_fuzzy":5},"total_outbound_references":33},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2508.04732."}