{"as_of":"2026-08-08T11:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61972f9d0e98a83a870f46205c5dd7a46d19011f2f547a288b693b94529e48a2","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:02:59.741679Z","state":"measured"},{"denominator":83,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":83,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:37:42.878579Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T20:50:11.415197Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-08-06T14:37:42.878579Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis.arXiv preprint arXiv:2506.06276, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.18838","last_updated":"2025-07-24T22:26:28Z","snapshot_observed_at":"2026-08-07T22:17:39.688239Z","submitted_at":"2025-07-24T22:26:28Z","title":"Flow Stochastic Segmentation Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T14:37:42.878579Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2507.18838"},"observation_digest":"sha256:172d7adbd8b3f3a789b2bef8366cb1c264268b590331008b6d35b31a58830448","observation_id":"62a25d21-fcfa-4e06-ac9c-8207b094f8e8","resolution":{"observed_at":"2026-08-06T14:37:42.878579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-08-05T15:35:26.827573Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19750","last_updated":"2025-08-27T10:25:15Z","snapshot_observed_at":"2026-08-08T00:23:55.145724Z","submitted_at":"2025-08-27T10:25:15Z","title":"Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T15:35:26.827573Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2508.19750"},"observation_digest":"sha256:10801f1a883ab153ffeb9ca762c31b918a4fe8e51eb4e291eaa182e7e6adde7b","observation_id":"0e9ebf40-069d-4a9d-8030-3f05b72d2369","resolution":{"observed_at":"2026-08-05T15:35:26.827573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2506.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-04T20:50:11.415197Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":"6f995491-981b-4582-a544-6cae795eef5f","year":2025},"citing_paper":{"arxiv_id":"2604.20041","last_updated":"2026-04-21T22:52:26Z","snapshot_observed_at":"2026-07-06T23:06:35.507008Z","submitted_at":"2026-04-21T22:52:26Z","title":"Normalizing Flows with Iterative Denoising","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T02:11:31.246200Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2604.20041"},"observation_digest":"sha256:6e17dd9ee78a1f8e4b117128ce6a71b32a77d763c30fa5e3e8da935a6b92b6bd","observation_id":"613e1770-6a11-4363-98ac-4cb29c45aa3d","resolution":{"observed_at":"2026-05-11T13:11:18.924529Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2506.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-04T20:50:11.415197Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":"6f995491-981b-4582-a544-6cae795eef5f","year":2025},"citing_paper":{"arxiv_id":"2605.08029","last_updated":"2026-05-08T17:14:43Z","snapshot_observed_at":"2026-07-06T23:20:19.821342Z","submitted_at":"2026-05-08T17:14:43Z","title":"STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-11T02:44:59.644215Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2605.08029"},"observation_digest":"sha256:f5640e0704e52a9af8a8dd646a6af4d638558ffe3b9034a3e9167483fc84fb39","observation_id":"05e1efa7-fa23-4aa4-b0b6-3c21883e36da","resolution":{"observed_at":"2026-05-11T02:45:57.076980Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2506.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-04T20:50:11.415197Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":"6f995491-981b-4582-a544-6cae795eef5f","year":2025},"citing_paper":{"arxiv_id":"2605.18267","last_updated":"2026-07-24T06:29:36Z","snapshot_observed_at":"2026-08-02T13:49:17.490757Z","submitted_at":"2026-05-18T12:03:41Z","title":"SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T11:59:54.139888Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2605.18267"},"observation_digest":"sha256:ef5ebf43846fc15f54db667e9747772a3aa05770b639768747aabfe9637061e1","observation_id":"a3e5b0f9-0d80-45dc-8dd0-daa4b6dbae4c","resolution":{"observed_at":"2026-05-20T12:03:15.373375Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2506.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-04T20:50:11.415197Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":"6f995491-981b-4582-a544-6cae795eef5f","year":2025},"citing_paper":{"arxiv_id":"2605.18267","last_updated":"2026-07-24T06:29:36Z","snapshot_observed_at":"2026-08-02T13:49:17.490757Z","submitted_at":"2026-05-18T12:03:41Z","title":"SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T18:39:40.667006Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2605.18267"},"observation_digest":"sha256:6035898f6134cf70414dc763bb5224ceb9833de9c32c24ef8ee5323161cee8f2","observation_id":"fae1a920-39c9-46c2-9636-0e3f67ed5bfe","resolution":{"observed_at":"2026-06-30T19:15:01.300920Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-08-02T13:49:18.539859Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.18267","last_updated":"2026-07-24T06:29:36Z","snapshot_observed_at":"2026-08-02T13:49:17.490757Z","submitted_at":"2026-05-18T12:03:41Z","title":"SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T13:49:18.539859Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2605.18267"},"observation_digest":"sha256:ae53c22d622e6df7d84c5227f3c56d9dfcf85371f675d35d0d2197c230f2b2e5","observation_id":"3acb3037-5dc5-40c5-ad6d-487081014c56","resolution":{"observed_at":"2026-08-02T13:49:18.539859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2506.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-04T20:50:11.415197Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":"6f995491-981b-4582-a544-6cae795eef5f","year":2025},"citing_paper":{"arxiv_id":"2606.26016","last_updated":"2026-07-08T10:57:01Z","snapshot_observed_at":"2026-08-02T07:36:10.167129Z","submitted_at":"2026-06-24T16:37:10Z","title":"MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-25T19:34:02.046104Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2606.26016"},"observation_digest":"sha256:31bdac28d9bf2552bbdb3a1acde87b16fda5737334e311cd672de2d0f4531586","observation_id":"8277b70b-1175-4712-aaaa-966416af88d8","resolution":{"observed_at":"2026-07-04T20:50:11.416811Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2506.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-04T20:50:11.415197Z","title":"Starflow: Scaling latent normalizing flows for high-resolution image synthesis","venue":null,"work_id":"6f995491-981b-4582-a544-6cae795eef5f","year":2025},"citing_paper":{"arxiv_id":"2606.26016","last_updated":"2026-07-08T10:57:01Z","snapshot_observed_at":"2026-08-02T07:36:10.167129Z","submitted_at":"2026-06-24T16:37:10Z","title":"MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-01T06:27:24.992386Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2606.26016"},"observation_digest":"sha256:e46a5b8dab6e27bd2e3580e3498b0bdd9e0f61ae40015eb44e57b0ed83052061","observation_id":"7efd3251-afb2-4296-8a21-7d65b5c41105","resolution":{"observed_at":"2026-07-01T09:35:40.181339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-12T12:07:02.175855Z","title":"arXiv preprint arXiv:2506.06276 (2025) 3, 8, 10","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.26016","last_updated":"2026-07-08T10:57:01Z","snapshot_observed_at":"2026-08-02T07:36:10.167129Z","submitted_at":"2026-06-24T16:37:10Z","title":"MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T12:07:02.175855Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2606.26016"},"observation_digest":"sha256:5eb805a2447c9a1f3f5a12061c83215717d6320be4b1f2ac64738e0e6599dc7d","observation_id":"120727c8-91ac-4609-a130-016cbbc8cf43","resolution":{"observed_at":"2026-07-12T12:07:02.175855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-07-13T05:11:19.001184Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09133","last_updated":"2026-07-27T13:55:46Z","snapshot_observed_at":"2026-08-06T19:20:12.388945Z","submitted_at":"2026-07-10T06:43:43Z","title":"IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T05:11:19.001184Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2607.09133"},"observation_digest":"sha256:032bb3ed03cae284230b0f9ca9b07285f7e20ebe4d8b4b05b9c6a819748510d6","observation_id":"d8164f73-ea07-4d61-b014-533e09111d47","resolution":{"observed_at":"2026-07-13T05:11:19.001184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-08-02T07:44:14.894123Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09133","last_updated":"2026-07-27T13:55:46Z","snapshot_observed_at":"2026-08-06T19:20:12.388945Z","submitted_at":"2026-07-10T06:43:43Z","title":"IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T07:44:14.894123Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2607.09133"},"observation_digest":"sha256:d685ed6490859955e43c7534b9c53ee804ff04e92c5260ffcaca97cac8d10d4a","observation_id":"088b81cf-4cb5-4b2a-b596-b6b1ed3a990b","resolution":{"observed_at":"2026-08-02T07:44:14.894123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06276","snapshot_observed_at":"2026-08-02T06:01:02.087254Z","title":"STARFlow: Scaling Latent Normalizing Flows for High- resolution Image Synthesis, June 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13202","last_updated":"2026-07-14T18:51:56Z","snapshot_observed_at":"2026-08-04T17:38:04.125679Z","submitted_at":"2026-07-14T18:51:56Z","title":"A Generative Model-Free Form Deformation Approach for the Generation of Mesh Motions with Applications to PDE","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T06:01:02.087254Z"},"links":{"cited_paper":"/paper/2506.06276","citing_paper":"/paper/2607.13202"},"observation_digest":"sha256:c183d7dd0128dad1e272ab9c42fa11dc6742d1b118053de2179e291eff2391b1","observation_id":"613b2c12-5940-4b4e-b1e0-70d2b364d9ac","resolution":{"observed_at":"2026-08-02T06:01:02.087254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.06276/citation-record","integrity":"/paper/2506.06276/integrity","json":"/paper/2506.06276/citation-record.json","paper":"/paper/2506.06276"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:02:59.489329Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.489329Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:ea0b639c8f6061089a00d2b4c7c6d02aa48ad0fa0368a16329142d93f7479c6f","observation_id":"90ea6285-5790-4663-ae7f-6e45d2b6ca8f","resolution":{"observed_at":"2026-08-07T06:02:59.489329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01324","last_updated":"2023-03-14T00:22:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-11-02T17:43:04Z","title":"eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01324","snapshot_observed_at":"2026-08-07T06:02:59.493679Z","title":"ediffi: Text-to-image diffusion models with an ensemble of expert denoisers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.493679Z"},"links":{"cited_paper":"/paper/2211.01324","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e191d3c17359111dc19397d7eeda044461ee2709fca7a335d0aadf282dacd3db","observation_id":"12eee950-c05b-49ec-846a-471dd2090737","resolution":{"observed_at":"2026-08-07T06:02:59.493679Z","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":"2026-08-07T06:02:59.502925Z","title":"Improving image generation with better captions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.502925Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d418e8df05bb800cb9768302fe0562848a2e79eea390e03c19b6e8094401819a","observation_id":"e21402a0-16eb-4c37-95aa-af37dedbd82a","resolution":{"observed_at":"2026-08-07T06:02:59.502925Z","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":"2026-08-07T06:03:00.499223Z","title":null,"venue":null,"work_id":"947f903d-8283-41f1-82a4-67c515fc8267","year":2020},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.506482Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e21ae5e22a2237891ba0c73924f0ba89c336c1baacda0b3b15416c1016582b91","observation_id":"cac09970-e7d4-4c49-826e-9056c5ce0a3f","resolution":{"observed_at":"2026-08-07T06:03:00.502710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:00.488613Z","title":"P., Freeman, W","venue":null,"work_id":"55a07e0f-ba8a-47aa-9163-872051a831aa","year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.510506Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:91da8affd28bf27571ed0042897931bef612fef9263c873286d0e5b4b621dc40","observation_id":"10d68639-dc50-4400-ab37-8b12d86bb6ab","resolution":{"observed_at":"2026-08-07T06:03:00.492243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:00.477440Z","title":"Conceptual 12M : Pushing web-scale image-text pre-training to recognize long-tail visual concepts","venue":null,"work_id":"19cf8d9c-d429-4b87-a8e5-17fb7ca3a9d8","year":2021},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.514221Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:72625d906432f3734f5dc1765046b2b97e0aa871be8d1bc9de11056e7e32b279","observation_id":"0c93c82e-836f-4d08-9d5d-c637bd4c5a37","resolution":{"observed_at":"2026-08-07T06:03:00.481256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00426","last_updated":"2023-12-29T16:42:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-30T16:18:00Z","title":"PixArt-$\\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00426","snapshot_observed_at":"2026-08-07T06:02:59.517686Z","title":"Pixart-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.517686Z"},"links":{"cited_paper":"/paper/2310.00426","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:68fd526a44d13100e570e416ec9482cd61dc1ea80857a5a87c9da06e90be42fc","observation_id":"8ecd729b-7dab-485b-836b-a7b4f42c02c1","resolution":{"observed_at":"2026-08-07T06:02:59.517686Z","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":"2026-08-07T06:02:59.521652Z","title":"T., Rubanova, Y., Bettencourt, J., and Duvenaud, D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.521652Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e0a13b3df9644cdd590924c916912ed8de49f3040d9dd25e5a7d11543063ed61","observation_id":"89724760-beac-49a9-a912-827c3369a7f0","resolution":{"observed_at":"2026-08-07T06:02:59.521652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.11416","last_updated":"2022-12-06T21:39:48Z","snapshot_observed_at":"2026-07-06T14:08:18.855958Z","submitted_at":"2022-10-20T16:58:32Z","title":"Scaling Instruction-Finetuned Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.11416","snapshot_observed_at":"2026-08-07T06:02:59.525342Z","title":"W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, E., Wang, X., Dehghani, M., Brahma, S., Webson, A., Gu, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.525342Z"},"links":{"cited_paper":"/paper/2210.11416","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:eed125d89f9826104bb14d8e8fe1be08b7636dd7610b0bafdb8a13c82d49cf97","observation_id":"7bbcce39-eec5-4e17-9a59-8417ca82fb3c","resolution":{"observed_at":"2026-08-07T06:02:59.525342Z","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":"2026-08-07T06:03:00.460394Z","title":"ImageNet: A Large-scale Hierarchical Image Database","venue":null,"work_id":"5a0398ce-bc73-488d-8222-95581b052ec3","year":2009},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.528573Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d1efbc5dd691827b2852cd0257d40dabd6c40b5f332867840b8c1dcb30fa393c","observation_id":"fc1d00a4-e67c-43bb-98a7-cb90737db8e0","resolution":{"observed_at":"2026-08-07T06:03:00.463635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.532011Z","title":"and Nichol, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.532011Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:6eaca31bda7536590a92d5d07e19c1ed5d6cd7548820b270f3e0a428c74f26f3","observation_id":"67a11c75-cf5e-415b-b9b3-6ebddea6e160","resolution":{"observed_at":"2026-08-07T06:02:59.532011Z","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":"2026-08-07T06:03:00.442520Z","title":"Cogview: Mastering text-to-image generation via transformers","venue":null,"work_id":"77c4cf34-5a64-4398-96fb-3b979914d3de","year":2021},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.534846Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:0bb822a2ed9d8801a370e25b8bf7297eb5f0620994449fb5bad1440a0bd5f8fa","observation_id":"ffe4b858-2c95-4ce1-a147-fc1e11da9c79","resolution":{"observed_at":"2026-08-07T06:03:00.446504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1410.8516","last_updated":"2015-04-10T12:27:56Z","snapshot_observed_at":"2026-07-06T03:59:05.142685Z","submitted_at":"2014-10-30T19:44:20Z","title":"NICE: Non-linear Independent Components Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.8516","snapshot_observed_at":"2026-08-07T06:02:59.537710Z","title":"Nice: Non-linear independent components estimation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.537710Z"},"links":{"cited_paper":"/paper/1410.8516","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d9b6fab19e96bc98c6474f9ea8591399d752a762fe6c69d79d6820574153b9dc","observation_id":"d7e0f830-43b8-4917-8d17-30609d176e1a","resolution":{"observed_at":"2026-08-07T06:02:59.537710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.08803","last_updated":"2017-02-27T23:21:10Z","snapshot_observed_at":"2026-08-06T07:41:35.475664Z","submitted_at":"2016-05-27T21:24:32Z","title":"Density estimation using Real NVP","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.08803","snapshot_observed_at":"2026-08-07T06:02:59.541321Z","title":"Density estimation using real nvp","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.541321Z"},"links":{"cited_paper":"/paper/1605.08803","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:2d0c947709623f9290b2e82c6c0ffd4c850e3bf98a5f307776e203187744bd62","observation_id":"4a92cddf-23e0-421c-918b-4dbb6340e33b","resolution":{"observed_at":"2026-08-07T06:02:59.541321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T06:02:59.544500Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.544500Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:faa4dc2489aceb851f8444c2c8d51430c99893189a7773484d9c086928f3659e","observation_id":"f9cd7900-7ffb-4ab8-aa95-a57ff8f6d952","resolution":{"observed_at":"2026-08-07T06:02:59.544500Z","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":"2026-08-07T06:02:59.547283Z","title":"Tweedie’s formula and selection bias","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.547283Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:de0efa1bfa9f23f0da75c0e55cc82290aae630d89067129ba7cba8bcb4854ec8","observation_id":"82dcda21-ca11-4fda-b85c-0760954903bb","resolution":{"observed_at":"2026-08-07T06:02:59.547283Z","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":"2026-08-07T06:03:00.425224Z","title":"Taming transformers for high-resolution image synthesis","venue":null,"work_id":"10e8dbeb-c389-4c3f-bd69-3f55f40df611","year":2021},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.550355Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e9b638c8ec7b88f762792fd51cc49f61ba889716bb0a67d4385492bcf3b1e0cd","observation_id":"ee43e355-0092-452b-8830-55de9e3689b8","resolution":{"observed_at":"2026-08-07T06:03:00.428665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.553662Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.553662Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:6795c1509e467c22ee0d68f18ff0c22b35f5a89f79f745275fbb6b899a664d6e","observation_id":"cc3eaed4-1a01-4eae-b764-7d0c36b2ff6e","resolution":{"observed_at":"2026-08-07T06:02:59.553662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13863","last_updated":"2024-10-17T17:59:59Z","snapshot_observed_at":"2026-08-07T22:15:46.490983Z","submitted_at":"2024-10-17T17:59:59Z","title":"Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13863","snapshot_observed_at":"2026-08-07T06:02:59.556863Z","title":"Fluid: Scaling autoregressive text-to-image generative models with continuous tokens","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.556863Z"},"links":{"cited_paper":"/paper/2410.13863","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:3517ecb236a4aded76be200671ce3023f689914d7cdcf42220e45f9bea98e0f9","observation_id":"70747349-f9d1-4fb1-b3cf-a2831fb2bb73","resolution":{"observed_at":"2026-08-07T06:02:59.556863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.13131","last_updated":"2022-03-24T15:44:50Z","snapshot_observed_at":"2026-08-06T19:08:21.390272Z","submitted_at":"2022-03-24T15:44:50Z","title":"Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.13131","snapshot_observed_at":"2026-08-07T06:02:59.560240Z","title":"Make-a-scene: Scene-based text-to-image generation with human priors","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.560240Z"},"links":{"cited_paper":"/paper/2203.13131","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:20f57ef57ce7ea792a4f296cdc6f59a3bc37bfd27aeab36ecf02245b3a4ff090","observation_id":"5a7b3cea-6c0e-4375-a1a1-21d554c2d08c","resolution":{"observed_at":"2026-08-07T06:02:59.560240Z","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":"2026-08-07T06:03:00.408540Z","title":"Geneval: An object-focused framework for evaluating text-to-image alignment","venue":null,"work_id":"d3bdc362-843c-4ad0-b196-404bfd63d9e1","year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.564227Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:596d374884603b22d198a09a8f60d927e8ef1566324209de3ca5ca0473d1d44c","observation_id":"3a02a7bb-d83a-4490-8f85-44132139ee1a","resolution":{"observed_at":"2026-08-07T06:03:00.411822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.567296Z","title":"Deep Learning","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.567296Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d8e564ac95a7b1358032c2701bd1db5c258dbb22f5731a067c15cd58874ca369","observation_id":"f1c1ad0d-e662-45b6-a3fe-5705da98d1fe","resolution":{"observed_at":"2026-08-07T06:02:59.567296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.01367","last_updated":"2018-10-22T17:56:45Z","snapshot_observed_at":"2026-07-06T07:05:41.488600Z","submitted_at":"2018-10-02T16:56:37Z","title":"FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.01367","snapshot_observed_at":"2026-08-07T06:02:59.570333Z","title":"T., Bettencourt, J., Sutskever, I., and Duvenaud, D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.570333Z"},"links":{"cited_paper":"/paper/1810.01367","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:9ab4a249f9fbef68832d94fb4a69274af4abfb500e5435a576cbbed1ac9019d5","observation_id":"98e8e911-bffc-4c94-8c21-a18a6382ff62","resolution":{"observed_at":"2026-08-07T06:02:59.570333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.21048","last_updated":"2024-05-31T17:41:11Z","snapshot_observed_at":"2026-08-05T19:31:53.903665Z","submitted_at":"2024-05-31T17:41:11Z","title":"Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling","version":1},"cited_work":{"arxiv_id":"2405.21048","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.21048","snapshot_observed_at":"2026-08-07T06:03:00.038778Z","title":"Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling","venue":"cs.CV","work_id":"3a496814-8d1f-4daa-953e-14a3a42f6604","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.573611Z"},"links":{"cited_paper":"/paper/2405.21048","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:7d2828133d7e3258e6ff53dacb08a592f75a4da65074d947b9e14ada3d5ed0cb","observation_id":"c2d89096-0c05-414f-af13-2e3def652ef6","resolution":{"observed_at":"2026-08-07T06:03:00.049777Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08159","last_updated":"2025-01-23T17:08:57Z","snapshot_observed_at":"2026-08-01T22:13:52.809109Z","submitted_at":"2024-10-10T17:41:54Z","title":"DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08159","snapshot_observed_at":"2026-08-07T06:02:59.576948Z","title":"Dart: Denoising autoregressive transformer for scalable text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.576948Z"},"links":{"cited_paper":"/paper/2410.08159","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:9e1a3ad4746f6ebaa0de2366a58c2be4ca355bf737569582b4f8744602851b1b","observation_id":"0d5e0951-74f7-4aef-9f99-bd59f896ff0a","resolution":{"observed_at":"2026-08-07T06:02:59.576948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T06:02:59.580716Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.580716Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:68ffde2f7830abdfb36794d9e4e246085e23ee26518843da8ddfadcea06034db","observation_id":"38ec51f1-5e33-4136-a668-47fc86d5bc7b","resolution":{"observed_at":"2026-08-07T06:02:59.580716Z","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":"2026-08-07T06:02:59.585966Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.585966Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:20bd9fdf2eb2b293b338432957df3dc657c038d7f27c792c85cfc46dacc5789a","observation_id":"f4b1a2e1-96f5-4a17-ae8b-ff08137353b7","resolution":{"observed_at":"2026-08-07T06:02:59.585966Z","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":"2026-08-07T06:02:59.590498Z","title":"and Salimans, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.590498Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:8f49900f8f9ee9c3b57639c4d5eaab1dff4817c6953be3c18dac6e308fe248c7","observation_id":"19fbf586-e7bc-49aa-89b4-11df75a2e026","resolution":{"observed_at":"2026-08-07T06:02:59.590498Z","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":"2026-08-07T06:03:00.377091Z","title":"Flow++: Improving flow-based generative models with variational dequantization and architecture design","venue":null,"work_id":"7f4536bc-96ea-48c4-bcec-5f60f3b479a5","year":2019},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.593783Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:99c6a749c6aa6adb1427626f4d87abb07afebb7bfa7f58808f5625cef0abeb16","observation_id":"e169ad4a-03a9-40b6-b9fd-27008bfdb91b","resolution":{"observed_at":"2026-08-07T06:03:00.381239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.597089Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.597089Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:53b368bfd52f34a3b23fca66916fe480f728af83f8efdd8bc3d9ee6d4a53df52","observation_id":"3b4d6217-919c-4d8d-b491-d1bbe32b358f","resolution":{"observed_at":"2026-08-07T06:02:59.597089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02303","last_updated":"2022-10-05T14:41:38Z","snapshot_observed_at":"2026-07-06T13:59:57.800591Z","submitted_at":"2022-10-05T14:41:38Z","title":"Imagen Video: High Definition Video Generation with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02303","snapshot_observed_at":"2026-08-07T06:02:59.599998Z","title":"P., Poole, B., Norouzi, M., Fleet, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.599998Z"},"links":{"cited_paper":"/paper/2210.02303","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:3be448bf15789baf205a8ec5afa318b9474c8482bcb616e1ad4b3bf2700a4a18","observation_id":"615b3dbf-e60a-4e15-ae21-5971861aa4ab","resolution":{"observed_at":"2026-08-07T06:02:59.599998Z","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":"2026-08-07T06:03:00.360472Z","title":"J., Norouzi, M., and Salimans, T","venue":null,"work_id":"c57c41c6-f550-4a27-96d9-85f4e110d687","year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.603683Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:4f20f7e472e7befde0c014456eeba31bceb429f344a09fc632ea5f585b9aec27","observation_id":"d5aa8c84-dfbb-429b-9f54-25f470a1df20","resolution":{"observed_at":"2026-08-07T06:03:00.363691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.606871Z","title":null,"venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.606871Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:dd6ea457ece329d299bc3540748546e7646a97d6f4c1b738f638324d0c5cd187","observation_id":"f030aa44-8ee6-4f75-b8a2-b1298941595b","resolution":{"observed_at":"2026-08-07T06:02:59.606871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11972","last_updated":"2023-06-14T03:32:57Z","snapshot_observed_at":"2026-08-08T04:43:37.639933Z","submitted_at":"2022-12-22T18:55:45Z","title":"Scalable Adaptive Computation for Iterative Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.11972","snapshot_observed_at":"2026-08-07T06:02:59.610007Z","title":"Scalable adaptive computation for iterative generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.610007Z"},"links":{"cited_paper":"/paper/2212.11972","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e03a36344a68cb8079880982635cb8147f4944d505211d0fef486f27585dc677","observation_id":"7da076f7-d84a-4f1d-b0e5-f7f2503cd223","resolution":{"observed_at":"2026-08-07T06:02:59.610007Z","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":"2026-08-07T06:03:00.343049Z","title":"Scaling up gans for text-to-image synthesis","venue":null,"work_id":"d76ff6a3-70b7-4a10-8c11-2d571182687d","year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.614298Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:eb39ffd357c397a61e7d0872f8be2f4cd669c37e9de2da55c902b6c471f48153","observation_id":"bb048a04-37c1-4bac-bb2f-19bd6df411f6","resolution":{"observed_at":"2026-08-07T06:03:00.346590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-07T06:02:59.617487Z","title":"B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., and Amodei, D","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.617487Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d9ece03ac06f6b3c14cfe8d63d3bf527fc921a9918ba14cae4d25ea64f5c7570","observation_id":"53b8c8f9-7c83-419d-9d7d-51fbeced1341","resolution":{"observed_at":"2026-08-07T06:02:59.617487Z","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":"2026-08-07T06:03:00.332261Z","title":"Guiding a diffusion model with a bad version of itself","venue":null,"work_id":"bf94755e-c421-4de2-8ba2-599be053f668","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.621140Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:4f2fb4e9000a6ee05dd0b603cf0530db027911ffdce426e24eb55ad16052db22","observation_id":"55dd9de9-961a-453f-aef2-06142870e7c9","resolution":{"observed_at":"2026-08-07T06:03:00.335753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-07T06:02:59.624759Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.624759Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:8ffcc5669f7148e2d4bfb6e1ca3121346e949f7e5d410495099f0eb2df40829d","observation_id":"5d381d4d-08ee-416d-99f1-5edbe488d42e","resolution":{"observed_at":"2026-08-07T06:02:59.624759Z","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":"2026-08-07T06:03:00.320996Z","title":"P., Salimans, T., Jozefowicz, R., Chen, X., Sutskever, I., and Welling, M","venue":null,"work_id":"ec2fb557-ad24-4aac-88f9-616e1b554c9c","year":2016},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.628497Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:7d4910d3d8c0560f63350f6f768bc429341088b2626039e17aaf07b31ce28e1f","observation_id":"ed1e235f-8736-407d-a1d7-b6c9524bbe6a","resolution":{"observed_at":"2026-08-07T06:03:00.324418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.632252Z","title":"Autoregressive image generation using residual quantization","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.632252Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:c190da696be4caccb6c75f6f24adf6a1a303d264ee364f50d2472f4ee3e12f0e","observation_id":"fa746a0a-ca8c-4645-a44d-fee3d36b49cf","resolution":{"observed_at":"2026-08-07T06:02:59.632252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11838","last_updated":"2024-11-01T14:45:36Z","snapshot_observed_at":"2026-07-06T18:32:23.999019Z","submitted_at":"2024-06-17T17:59:58Z","title":"Autoregressive Image Generation without Vector Quantization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11838","snapshot_observed_at":"2026-08-07T06:02:59.635645Z","title":"Autoregressive image generation without vector quantization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.635645Z"},"links":{"cited_paper":"/paper/2406.11838","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:5486e04b23584d1066a11a982e5700b76463a23c9a6eab0f0880855b3367c446","observation_id":"f010938b-84c8-479d-a958-267d9fb0390b","resolution":{"observed_at":"2026-08-07T06:02:59.635645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17437","last_updated":"2025-02-25T14:28:34Z","snapshot_observed_at":"2026-08-07T17:52:18.036682Z","submitted_at":"2025-02-24T18:59:56Z","title":"Fractal Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17437","snapshot_observed_at":"2026-08-07T06:02:59.639189Z","title":"Fractal generative models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.639189Z"},"links":{"cited_paper":"/paper/2502.17437","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:6628ba8f9e807754762085f030ab0fdbdc230376c2f80322eb3595119b8b7ae5","observation_id":"a5dca63b-f4f1-41e2-9203-61c14f426884","resolution":{"observed_at":"2026-08-07T06:02:59.639189Z","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":"2026-08-07T06:03:00.302463Z","title":"A survey of multimodel large language models","venue":null,"work_id":"2c13f1b6-c720-4a9f-a911-90b5293ff33d","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.642997Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:c7927abf7655b18be58e8ff338180c686f35d42ffcb3b3122a4fca88875b4924","observation_id":"9c28b70a-b478-44f2-b913-1f6b34ab34d0","resolution":{"observed_at":"2026-08-07T06:03:00.306303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:00.291318Z","title":null,"venue":null,"work_id":"515ebe70-f5c3-4f58-bd93-e00ad46d137e","year":2014},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.646275Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:02e413de8e1af308263e30448220d6fe34cbf52082b62d1e221d33983cb469a7","observation_id":"f2701c07-13d6-4b5e-9a74-3e314b57e9f5","resolution":{"observed_at":"2026-08-07T06:03:00.294802Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.649572Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.649572Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:477c10d9feaa45f110e6a73144bc6c97d6f418accb9e6328c81967689a1c0128","observation_id":"12e65d1c-1216-4323-88a3-7cc908b6808d","resolution":{"observed_at":"2026-08-07T06:02:59.649572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08740","last_updated":"2024-09-23T15:59:41Z","snapshot_observed_at":"2026-08-07T23:50:09.060564Z","submitted_at":"2024-01-16T18:55:25Z","title":"SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08740","snapshot_observed_at":"2026-08-07T06:02:59.653070Z","title":"S., Boffi, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.653070Z"},"links":{"cited_paper":"/paper/2401.08740","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:8574e4d5771ca660212ad88a455e0d0368d1711485a279c065fd4841761430fb","observation_id":"3a24c084-5581-42df-b4c4-88c3679f0997","resolution":{"observed_at":"2026-08-07T06:02:59.653070Z","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":"2026-08-07T06:03:00.269519Z","title":"Gpt‑4o system card","venue":null,"work_id":"d745ac6b-5882-4795-8c21-9c8523d45fa6","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.656641Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d355f56aee83cf20204da8b8a4735e8344e593095663908251d1aa95e8251719","observation_id":"d00186c1-a8b2-4149-a982-fc21979daf37","resolution":{"observed_at":"2026-08-07T06:03:00.273570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:00.258988Z","title":"Masked autoregressive flow for density estimation","venue":null,"work_id":"3ac5f39b-4c7e-4d6a-9348-d3e539a22f81","year":2017},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.660276Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e7812ed6b394e4460857abf993ac82d8761c8d7090731198270cb12b95ac3b64","observation_id":"d7ad6125-3f41-4edc-bfd3-3b70b645c017","resolution":{"observed_at":"2026-08-07T06:03:00.262721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:02:59.664041Z","title":"and Xie, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.664041Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:0f04893a18298ca8e264b71591aa3c3af1d0e75873a10989740b0b8ff2abed7a","observation_id":"37b5dc3f-b9c5-477c-8de3-7d1795ef5148","resolution":{"observed_at":"2026-08-07T06:02:59.664041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-07T06:02:59.667314Z","title":"Sdxl: improving latent diffusion models for high-resolution image synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.667314Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d232688f63742acb542067c0ad4932fa8c58e64b3f82df4d06e5c076fc931429","observation_id":"2b2a5dc6-ab46-4179-84c4-eca7deb592ca","resolution":{"observed_at":"2026-08-07T06:02:59.667314Z","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":"2026-08-07T06:02:59.670919Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.670919Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:b404c8ac7debde2ae6ac926138b253a4f013707f759cdebc1b01182bc33c6ec6","observation_id":"f6a4f915-663d-4eec-9bcd-0281c6396d6b","resolution":{"observed_at":"2026-08-07T06:02:59.670919Z","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":"2026-08-07T06:03:00.233661Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":"5f7e6630-f5bb-4d41-ab5b-8f2deb82d53b","year":2021},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.674096Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:c50a3cdc47354d8d9904118918cc7677b91f8798991c411212b888d312554944","observation_id":"7d81bbb6-5fee-4dee-a19e-6cdda3fbb44c","resolution":{"observed_at":"2026-08-07T06:03:00.237446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-07T06:02:59.677231Z","title":"Hierarchical text-conditional image generation with clip latents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.677231Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:07395b873bfd90fba7e17ecb27c5f6f2ebd892de1d1e077a92c42b5c1a503801","observation_id":"65512d37-77de-42eb-af56-b56ca5f05095","resolution":{"observed_at":"2026-08-07T06:02:59.677231Z","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":"2026-08-07T06:02:59.680315Z","title":"and Mohamed, S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.680315Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:c551c1c5f1951da1dc97b54d92768cff55b6ae684688799354321b7fe313fa49","observation_id":"60d3cd80-92d5-4297-b5b8-ccccd72241ee","resolution":{"observed_at":"2026-08-07T06:02:59.680315Z","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":"2026-08-07T06:02:59.683543Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.683543Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:f1223ed0c6821b9de2b1d25a09a1dedb986840001f7f2ebf935ab0cbb84d7232","observation_id":"e6a2e4a4-23e1-4f78-b030-b1af409de6cb","resolution":{"observed_at":"2026-08-07T06:02:59.683543Z","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":"2026-08-07T06:02:59.686433Z","title":"Roformer: Enhanced transformer with rotary position embedding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.686433Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:e5f038d72476ed6bc56c3ebac3b18a50a58628b4a173e8c5f5720caca56cbbed","observation_id":"59d7d779-1b2c-42cf-94fd-0d171ae5f42b","resolution":{"observed_at":"2026-08-07T06:02:59.686433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06525","last_updated":"2024-06-10T17:59:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-10T17:59:52Z","title":"Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06525","snapshot_observed_at":"2026-08-07T06:02:59.689617Z","title":"Autoregressive model beats diffusion: Llama for scalable image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.689617Z"},"links":{"cited_paper":"/paper/2406.06525","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d4a2b990ee72df9aaff32e0bf4cf6095424d17fd32caa41bc8e5afc20e5961a7","observation_id":"5231f097-176b-4ba6-b0b3-c65d01af87d3","resolution":{"observed_at":"2026-08-07T06:02:59.689617Z","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":"2026-08-07T06:03:00.201251Z","title":"Chameleon: Mixed-modal early-fusion foundation models, 2024","venue":null,"work_id":"ca71bbc0-1230-4d12-a45c-df9312395263","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.692927Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:16076f7984585491114762a091d0ac0158ff9d02870309d4f91908790de5b29f","observation_id":"7e9e2f01-6220-4f7f-a5e9-ce48bae950f7","resolution":{"observed_at":"2026-08-07T06:03:00.205608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-07T06:02:59.697367Z","title":"G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ram \\'e , A., et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.697367Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:5fbecebad40bcf84c454fc308398f19876f2724910e33317601125961db2f295","observation_id":"aac63d8a-3067-4603-8d41-24a6711b1048","resolution":{"observed_at":"2026-08-07T06:02:59.697367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02905","last_updated":"2024-06-10T17:59:07Z","snapshot_observed_at":"2026-07-06T17:55:16.774337Z","submitted_at":"2024-04-03T17:59:53Z","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02905","snapshot_observed_at":"2026-08-07T06:02:59.700606Z","title":"Visual autoregressive modeling: Scalable image generation via next-scale prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.700606Z"},"links":{"cited_paper":"/paper/2404.02905","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:003c85d34841642cfaa3a623f5830748f05739ac1059a27f1d0cd89d69a037dc","observation_id":"944abb33-b42e-401b-a854-8334322d4ede","resolution":{"observed_at":"2026-08-07T06:02:59.700606Z","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":"2026-08-07T06:03:00.190790Z","title":"Givt: Generative infinite-vocabulary transformers","venue":null,"work_id":"e4858fbe-4616-4cbb-bbfa-fa46bd9e7a58","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.703988Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:d42429967627b3ce12e3d15df79921116d3543aa6550931cc877a77811162de6","observation_id":"3223470e-9548-410c-a283-71d7f422571f","resolution":{"observed_at":"2026-08-07T06:03:00.194075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19722","last_updated":"2025-05-19T15:26:21Z","snapshot_observed_at":"2026-08-02T07:10:00.001810Z","submitted_at":"2024-11-29T14:14:59Z","title":"JetFormer: An Autoregressive Generative Model of Raw Images and Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19722","snapshot_observed_at":"2026-08-07T06:02:59.707406Z","title":"S., and Kolesnikov, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.707406Z"},"links":{"cited_paper":"/paper/2411.19722","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:1f94067f8d50ee8079a34e258c0254a29de4492d1f8f6b4a13abea36f3adc99e","observation_id":"b114fb92-02ae-46ae-9486-f15da408d513","resolution":{"observed_at":"2026-08-07T06:02:59.707406Z","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":"2026-08-07T06:03:00.181395Z","title":"N., Kaiser, L., and Polosukhin, I","venue":null,"work_id":"9d5c19b1-9d8b-4ef6-b624-3444c82e863f","year":2017},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.710622Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:32e0a2b9e37ac839c9146dd50cf31686749145d9562c4878c753762cde3a8f20","observation_id":"95534488-4bfd-483b-bd5b-009f00e0b2e7","resolution":{"observed_at":"2026-08-07T06:03:00.184375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18869","last_updated":"2024-09-27T16:06:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-27T16:06:11Z","title":"Emu3: Next-Token Prediction is All You Need","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18869","snapshot_observed_at":"2026-08-07T06:02:59.714113Z","title":"Emu3: Next-token prediction is all you need","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.714113Z"},"links":{"cited_paper":"/paper/2409.18869","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:7b75b14727096c966347df43f883e14418fffebd52cf112e21ee7a5898807520","observation_id":"4156b575-11bd-4992-8d7b-dabf9d60301e","resolution":{"observed_at":"2026-08-07T06:02:59.714113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12528","last_updated":"2025-09-08T02:42:57Z","snapshot_observed_at":"2026-07-06T19:04:43.716629Z","submitted_at":"2024-08-22T16:32:32Z","title":"Show-o: One Single Transformer to Unify Multimodal Understanding and Generation","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12528","snapshot_observed_at":"2026-08-07T06:02:59.719045Z","title":"J., Wang, W., Lin, K","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.719045Z"},"links":{"cited_paper":"/paper/2408.12528","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:ccd11fd9fbf5770c63258626d85782e5e394a21c0fc45298a3339476c2eabb54","observation_id":"a2d75177-6ea4-4ac4-b697-77ffc3f3d21c","resolution":{"observed_at":"2026-08-07T06:02:59.719045Z","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":"2026-08-07T06:03:00.171150Z","title":"Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B","venue":null,"work_id":"a7ec3c38-b2c0-4560-9dcd-eabfdafc4048","year":2022},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.722901Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:3599713eb3b25f91359674b0783e17f8a54918ff5642aede990da9d0843192c0","observation_id":"c27f346d-bc14-4764-80bc-fbfa9135cd53","resolution":{"observed_at":"2026-08-07T06:03:00.174372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06329","last_updated":"2025-06-06T17:45:35Z","snapshot_observed_at":"2026-07-06T20:03:47.277630Z","submitted_at":"2024-12-09T09:28:06Z","title":"Normalizing Flows are Capable Generative Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06329","snapshot_observed_at":"2026-08-07T06:02:59.728304Z","title":"A., Jaitly, N., and Susskind, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.728304Z"},"links":{"cited_paper":"/paper/2412.06329","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:1092efe920a0992425ed632536884dc6ce5ef4bbca180c633f1754d0705367af","observation_id":"0726e273-d6b4-41ed-817f-b74826e0e18c","resolution":{"observed_at":"2026-08-07T06:02:59.728304Z","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":"2026-08-07T06:03:00.160704Z","title":"Fast training of diffusion models with masked transformers","venue":null,"work_id":"edf93d96-53f3-4cb4-a6c6-e18ba5859342","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.734652Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:1db65c999958061914f62848fba62ca452b99398477f6a45c05670b56bc2e404","observation_id":"c3a394ee-f880-43b1-92c1-f3ce0c5496c8","resolution":{"observed_at":"2026-08-07T06:03:00.164232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:00.149818Z","title":"Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling","venue":null,"work_id":"f661cb93-38ec-4dea-9ae7-645fac89deb7","year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.738237Z"},"links":{"citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:a5b16c857c99c0f0984e2e1cb58c8e9edde24763c8ce05734b6772d7ea2973e5","observation_id":"375574a5-03ca-452c-a5b7-c59f17ffd1e6","resolution":{"observed_at":"2026-08-07T06:03:00.153590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11039","last_updated":"2024-08-20T17:48:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-20T17:48:20Z","title":"Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11039","snapshot_observed_at":"2026-08-07T06:02:59.741679Z","title":"Transfusion: Predict the next token and diffuse images with one multi-modal model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T06:02:59.741679Z"},"links":{"cited_paper":"/paper/2408.11039","citing_paper":"/paper/2506.06276"},"observation_digest":"sha256:2b3a6f7b9c2669da166cdaab5ec1869177ba58bb1814914ac32d070df8b1b8cb","observation_id":"c73e42f3-c20e-4caa-add3-7c0aabd63e49","resolution":{"observed_at":"2026-08-07T06:02:59.741679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.06276","last_updated":"2025-06-06T17:58:39Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T06:15:04.945610Z","submitted_at":"2025-06-06T17:58:39Z","title":"STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":70},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 13 inbound Pith citation observations for arXiv:2506.06276."}