{"as_of":"2026-08-22T13:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:926733c87bdb559ffdafd5835cd15c2428f9b3c28b219c8c23b17515c1e27fe1","coverage":[{"denominator":82,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":82,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:47:49.504886Z","state":"measured"},{"denominator":96,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":96,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:32:57.120265Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-12T14:20:21.223888Z","title":"DCTdiff: Intriguing Properties of Im- age Generative Modeling in the DCT Space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15472","last_updated":"2025-08-03T07:16:03Z","snapshot_observed_at":"2026-08-21T01:48:32.718413Z","submitted_at":"2024-11-23T06:50:11Z","title":"KinMo: Kinematic-aware Human Motion Understanding and Generation","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T14:20:21.223888Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2411.15472"},"observation_digest":"sha256:a58335c50f6d2d9e62ab3cc9052f6597f26107898be2418a06a79b962f134515","observation_id":"21d40549-07ed-4a42-a1ae-9c9bbe9fbeeb","resolution":{"observed_at":"2026-08-12T14:20:21.223888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-09T22:06:54.816203Z","title":"Dctdiff: Intriguing properties of im- age generative modeling in the dct space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18898","last_updated":"2026-08-15T03:16:14Z","snapshot_observed_at":"2026-08-20T23:09:01.978836Z","submitted_at":"2025-01-31T05:34:59Z","title":"GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T22:06:54.816203Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2501.18898"},"observation_digest":"sha256:6fe02116e31ee1de6fb0eadf820c83e7ea60abc6ec781690abdf0ab6e893effd","observation_id":"d39aa1b6-656e-47b5-a7ec-5e9b119384a2","resolution":{"observed_at":"2026-08-09T22:06:54.816203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-15T18:32:57.120265Z","title":"Dctdiff: Intriguing properties of image generative modeling in the dct space.arXiv preprint arXiv:2412.15032, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19839","last_updated":"2025-06-24T17:58:02Z","snapshot_observed_at":"2026-08-17T03:59:17.581498Z","submitted_at":"2025-06-24T17:58:02Z","title":"Improving Progressive Generation with Decomposable Flow Matching","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T18:32:57.120265Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2506.19839"},"observation_digest":"sha256:1efb3f519b3b7e9dbfb3ea4b6973810f35fe328c814bfe5eecf3e791cd241a42","observation_id":"9c00816a-fb28-4768-b2d8-bb3b869ee74c","resolution":{"observed_at":"2026-08-15T18:32:57.120265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-15T17:58:10.685667Z","title":"Dctdiff: Intriguing proper- ties of image generative modeling in the dct space.arXiv preprint arXiv:2412.15032, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19359","last_updated":"2025-07-25T15:10:15Z","snapshot_observed_at":"2026-08-18T18:31:43.022276Z","submitted_at":"2025-07-25T15:10:15Z","title":"SemGes: Semantics-aware Co-Speech Gesture Generation using Semantic Coherence and Relevance Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T17:58:10.685667Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2507.19359"},"observation_digest":"sha256:7d4df668516a278a3eec900671d061d9754aef61e14321cdef99c7897ab3cf66","observation_id":"e88d1ab4-2573-4245-a5ab-c4fce6e7b9b3","resolution":{"observed_at":"2026-08-15T17:58:10.685667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2604.23536","last_updated":"2026-04-26T05:16:54Z","snapshot_observed_at":"2026-08-13T03:39:46.544091Z","submitted_at":"2026-04-26T05:16:54Z","title":"$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-08T06:41:04.597012Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2604.23536"},"observation_digest":"sha256:132f152b72da92c6657ce302851af99a8ccfdf65b2d3904a7eda02754529b445","observation_id":"6eed3940-a31d-4d42-b416-312a5556f526","resolution":{"observed_at":"2026-05-11T21:06:15.009950Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2604.23540","last_updated":"2026-04-26T05:32:26Z","snapshot_observed_at":"2026-08-12T18:51:31.849899Z","submitted_at":"2026-04-26T05:32:26Z","title":"Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T06:58:09.085573Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2604.23540"},"observation_digest":"sha256:0b88a17cce1245fb12ce298b386a193ea01a6d3a50932755e3bd3370d2a8f1f2","observation_id":"ae1aabea-bd2f-478a-94be-5f093114752a","resolution":{"observed_at":"2026-05-11T21:06:12.212343Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2605.09275","last_updated":"2026-05-10T02:53:43Z","snapshot_observed_at":"2026-08-15T01:20:25.769051Z","submitted_at":"2026-05-10T02:53:43Z","title":"DiffATS: Diffusion in Aligned Tensor Space","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-12T04:38:12.633086Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2605.09275"},"observation_digest":"sha256:f6db74a84278c1a738ab61e3291952f3d58e1f924b74350619a8c85cc968860c","observation_id":"88140c4d-9ca0-4e8a-ae46-ecf42a5f79d0","resolution":{"observed_at":"2026-05-12T06:01:26.567636Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2605.14417","last_updated":"2026-05-20T06:15:55Z","snapshot_observed_at":"2026-08-14T19:27:02.812944Z","submitted_at":"2026-05-14T06:05:24Z","title":"Before the Body Moves: Learning Anticipatory Joint Intent for Language-Conditioned Humanoid Control","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-15T02:15:06.053570Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2605.14417"},"observation_digest":"sha256:c1f0ecb85d6173054caa269bf5c62367012a5a053a5cb99d8dd8befb9bec1c60","observation_id":"49752bdc-e39b-4c06-845b-25af3ce28385","resolution":{"observed_at":"2026-05-15T02:18:31.221474Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2605.14417","last_updated":"2026-05-20T06:15:55Z","snapshot_observed_at":"2026-08-14T19:27:02.812944Z","submitted_at":"2026-05-14T06:05:24Z","title":"Before the Body Moves: Learning Anticipatory Joint Intent for Language-Conditioned Humanoid Control","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-21T09:07:49.074474Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2605.14417"},"observation_digest":"sha256:964206d1f1a9238d198725f0f01298f5fe1ee7e359f65d794843e99b24390de4","observation_id":"52583b6d-d4b0-405c-ae15-b4915b84553e","resolution":{"observed_at":"2026-05-21T09:09:56.122171Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2605.26032","last_updated":"2026-05-25T17:01:21Z","snapshot_observed_at":"2026-08-10T17:43:38.768957Z","submitted_at":"2026-05-25T17:01:21Z","title":"Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T22:57:34.265472Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2605.26032"},"observation_digest":"sha256:b8eec2714630fac39427f42f1ca15bb6bf18115ceedbcb96854a9737855e2e2f","observation_id":"e9359986-bdd2-437f-8a0c-589cc75f8dd7","resolution":{"observed_at":"2026-06-29T23:04:02.159340Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2606.02661","last_updated":"2026-06-01T07:34:30Z","snapshot_observed_at":"2026-08-18T10:36:07.847931Z","submitted_at":"2026-06-01T07:34:30Z","title":"Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-06-28T12:33:07.263416Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2606.02661"},"observation_digest":"sha256:60490b2b88d6cec123b10bb2bc667962287842be0fb5c85750f013229cf424b1","observation_id":"7d058871-91e4-4da3-8810-cb1ce1e2e82b","resolution":{"observed_at":"2026-07-02T01:06:24.932170Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":"2412.15032","doi":"10.48550/arxiv.2412.15032","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv: 2412.15032[cs.CV]","venue":"arXiv (Cornell University)","work_id":"be718db6-2f12-4a1f-85bf-86ac93439368","year":2024},"citing_paper":{"arxiv_id":"2606.29570","last_updated":"2026-06-28T19:22:40Z","snapshot_observed_at":"2026-08-15T22:02:34.834740Z","submitted_at":"2026-06-28T19:22:40Z","title":"Hierarchical Policy Learning via Spectral Decomposition","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-30T06:54:29.971971Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2606.29570"},"observation_digest":"sha256:f38cf12606ba104d28657e83026a9f7cacc8267950f1997c19489ec33e5e7184","observation_id":"36e599e9-cda2-4945-a465-af398f071fd1","resolution":{"observed_at":"2026-06-30T07:04:20.661262Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-04T13:44:53.013895Z","title":"arXiv preprint arXiv:2412.15032 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02151","last_updated":"2026-08-04T05:55:35Z","snapshot_observed_at":"2026-08-15T14:59:14.345784Z","submitted_at":"2026-08-03T12:35:20Z","title":"Fourier-Latent Diffusion for Constrained Generation of Triply Periodic Minimal Surfaces","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T13:44:53.013895Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2608.02151"},"observation_digest":"sha256:26d43343e5fb91a323e20bcaf92bc8dbccd58e61230af89dc9dad46601fab547","observation_id":"2911ea64-191e-4483-ba5c-7d0a42ea3fe1","resolution":{"observed_at":"2026-08-04T13:44:53.013895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15032","snapshot_observed_at":"2026-08-15T15:07:52.420847Z","title":"arXiv preprint arXiv:2412.15032 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02151","last_updated":"2026-08-04T05:55:35Z","snapshot_observed_at":"2026-08-15T14:59:14.345784Z","submitted_at":"2026-08-03T12:35:20Z","title":"Fourier-Latent Diffusion for Constrained Generation of Triply Periodic Minimal Surfaces","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T15:07:52.420847Z"},"links":{"cited_paper":"/paper/2412.15032","citing_paper":"/paper/2608.02151"},"observation_digest":"sha256:985d803a573a1bc6a4c34f568fb652d320aaa2bd2f0cd584874fbf2f73755a1a","observation_id":"b58232ff-d1f5-4dc2-b37e-cc8b3d3c01c4","resolution":{"observed_at":"2026-08-15T15:07:52.420847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.15032/citation-record","integrity":"/paper/2412.15032/integrity","json":"/paper/2412.15032/citation-record.json","paper":"/paper/2412.15032"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:47:49.152220Z","title":null,"venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.152220Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:f5e820464dcdf48c9ba661f57dcce4da38e73b8c2ed27090dd253aed35d91e25","observation_id":"0a35dcb5-051a-472e-aabe-b2ad19868795","resolution":{"observed_at":"2026-08-11T11:47:49.152220Z","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":"2026-08-11T11:47:49.157369Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.157369Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:e7455aee7680d3fc89b155327468e03b9d0e6c4d3c410a1954de88af6a69057e","observation_id":"7b3e2d37-97e4-4250-9422-72793ec61f96","resolution":{"observed_at":"2026-08-11T11:47:49.157369Z","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":"2026-08-11T11:47:50.983977Z","title":"Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models","venue":null,"work_id":"2180a823-f1f0-4f05-a761-6f753b2709a1","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.161941Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:dd18676a0ad08f1d64189363a68985411bee7e8070ccf3018e9553204a7c77c5","observation_id":"f9139c6f-17ca-4eca-bb8f-88f7daf84155","resolution":{"observed_at":"2026-08-11T11:47:50.989281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.855515Z","title":"All are worth words: A vit backbone for diffusion models","venue":null,"work_id":"bfb55dad-9765-49b7-b796-b50dd9f6c061","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.166676Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:08be068c9ff5967502509f34b1a3e795b751953f170124ace0921142e2b929b6","observation_id":"2936c7cf-d2c1-4abc-b321-b868bb1082fd","resolution":{"observed_at":"2026-08-11T11:47:50.972189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-20T09:39:07.545813Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-11T11:47:49.171448Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.171448Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:f67d3a3923346a0cf3bfa4bb5014874ee564518c872e9e7a53b394cf6e0502fe","observation_id":"a75dee47-8fe5-42a3-978f-da6d5bc1f11e","resolution":{"observed_at":"2026-08-11T11:47:49.171448Z","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":"2026-08-11T11:47:50.839744Z","title":"and Jug, F","venue":null,"work_id":"a406aaf9-7a01-4bd6-a790-ffa33fa96c1b","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.176411Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:b06799bae3704d0ef2e9d9abbddf44af915f0887cee3485e4b8ba1b5598879c0","observation_id":"bf7d157d-186a-4967-8de2-20d9874e9207","resolution":{"observed_at":"2026-08-11T11:47:50.844856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.824000Z","title":"Stargan v2: Diverse image synthesis for multiple domains","venue":null,"work_id":"7c0cdcf4-0a35-40f8-b1ca-4314237d0f4a","year":2020},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.181442Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:6671ca60b491086705b002739b35a26fa050c8666f5551c67b704f44589523d1","observation_id":"a2f27a84-40eb-468a-95c3-185ef9c4d41e","resolution":{"observed_at":"2026-08-11T11:47:50.829261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.08819","last_updated":"2017-08-23T16:06:20Z","snapshot_observed_at":"2026-08-17T03:57:57.271938Z","submitted_at":"2017-07-27T11:22:22Z","title":"A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.08819","snapshot_observed_at":"2026-08-11T11:47:49.185898Z","title":"A downsampled variant of ImageNet as an alternative to the CIFAR datasets","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.185898Z"},"links":{"cited_paper":"/paper/1707.08819","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:dcfadf6ce5a87340976e7807e8b05fe244c7e0099c08d53fe8045ee037571195","observation_id":"6d13667f-ef00-42bb-89de-39ca3fe63071","resolution":{"observed_at":"2026-08-11T11:47:49.185898Z","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":"2026-08-11T11:47:50.807349Z","title":"Deflate compressed data format specification version 1.3","venue":null,"work_id":"c2b8d992-626e-4671-8191-8e8baa2bb516","year":1996},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.190687Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:efbdd735475464896eb1723b3845c3988c79600814295c5cebccd052b81d630d","observation_id":"7135f2bb-b196-4192-9a4e-b3fda0f05653","resolution":{"observed_at":"2026-08-11T11:47:50.812634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.792402Z","title":"and Nichol, A","venue":null,"work_id":"af787019-00a3-40b5-a705-f4aec83f6021","year":2021},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.195144Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d4e94583e0243bf097c44ea3576b34efcd72afccadc2f92526b4a13beabb02ee","observation_id":"09f00ccc-2b7b-41bb-83ca-909ca1047031","resolution":{"observed_at":"2026-08-11T11:47:50.796971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.199459Z","title":"Diffusion is spectral autoregression, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.199459Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:bbf3906e7b584fb7a8927a1fad4db00152835afef865deb52096ad368762c560","observation_id":"4f848c6d-1c66-4dda-8dad-2194af354d29","resolution":{"observed_at":"2026-08-11T11:47:49.199459Z","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":"2026-08-11T11:47:49.203374Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.203374Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:6107376357691474502c4660069b54d6e8f1b3aa5efb2de703014b2bd9efed95","observation_id":"080972a3-3024-4917-88bd-0cc2476ef9c4","resolution":{"observed_at":"2026-08-11T11:47:49.203374Z","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":"2026-08-11T11:47:50.758414Z","title":"and Ahuja, N","venue":null,"work_id":"8a90ef62-f3d8-43ce-b355-cd1e6cf052f5","year":2001},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.207082Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:9d966700612a91fed7a44498106723ac8f76c1e4a1259b2c62669817461660f3","observation_id":"d272ccdb-4b87-4cb2-8c5e-328358f32592","resolution":{"observed_at":"2026-08-11T11:47:50.763184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.210796Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.210796Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:780143a6b14ae2178dc60c84ef69f8125fb4ed9dd6199b5e41cf96cfd6505eca","observation_id":"f39d9f78-fb8a-4493-9ddd-78dd8a9785c5","resolution":{"observed_at":"2026-08-11T11:47:49.210796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09607","last_updated":"2025-06-11T17:58:34Z","snapshot_observed_at":"2026-08-13T23:14:51.382493Z","submitted_at":"2024-12-12T18:59:31Z","title":"Spectral Image Tokenizer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09607","snapshot_observed_at":"2026-08-11T11:47:49.214382Z","title":"Spectral image tokenizer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.214382Z"},"links":{"cited_paper":"/paper/2412.09607","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:0adacb3d95db358b2a13a2116a2170e9a873339980ced398f5b1d4b4c248cbb9","observation_id":"447ae25b-af31-4b5d-80cf-68d3c81b7f04","resolution":{"observed_at":"2026-08-11T11:47:49.214382Z","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":"2026-08-11T11:47:50.732369Z","title":"Spectral bias in practice: The role of function frequency in generalization","venue":null,"work_id":"3f4a21ea-6bb8-4a43-bdfa-bbd43ce44b38","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.218277Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:2f9d3843af8d88f464ed898be0a6e515874359319a01adf77b056aa7e7599b06","observation_id":"6694fc56-010e-4b26-aff2-e518e3aa5b38","resolution":{"observed_at":"2026-08-11T11:47:50.737574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.716075Z","title":null,"venue":null,"work_id":"2437dbf5-4135-423e-b3c3-a965226695e4","year":2009},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.221859Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:b8f4fed6bc17f89a0ab48ead12b0dc8dff89fbe79ed9aa766866bd8512826788","observation_id":"2d85c4b1-a98c-4a1a-933e-3a47fb305cbd","resolution":{"observed_at":"2026-08-11T11:47:50.721139Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.225656Z","title":"Deep learning, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.225656Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:b773435e90f06c92311a80d7a9389b499238690c05b49e7cd094e31d50a74a9b","observation_id":"dd099642-9b69-40b7-81c7-0e9a1c0b8b2e","resolution":{"observed_at":"2026-08-11T11:47:49.225656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08459","last_updated":"2024-08-21T00:24:53Z","snapshot_observed_at":"2026-08-16T13:26:08.037022Z","submitted_at":"2024-08-15T23:57:02Z","title":"JPEG-LM: LLMs as Image Generators with Canonical Codec Representations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08459","snapshot_observed_at":"2026-08-11T11:47:49.229137Z","title":"W., and Tsvetkov, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.229137Z"},"links":{"cited_paper":"/paper/2408.08459","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:056fced091452a8d32ad7cd71da42236b1a91c43d8da4d1a6693ec0cc6940faf","observation_id":"ad02d4a0-e0c3-4fc2-8cc1-7a88256a9d95","resolution":{"observed_at":"2026-08-11T11:47:49.229137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03297","last_updated":"2024-11-27T15:10:12Z","snapshot_observed_at":"2026-08-18T21:25:19.739291Z","submitted_at":"2024-07-03T17:34:55Z","title":"Improved Noise Schedule for Diffusion Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03297","snapshot_observed_at":"2026-08-11T11:47:49.233875Z","title":"and Gu, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.233875Z"},"links":{"cited_paper":"/paper/2407.03297","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:51b2f6c32bbf563c5052220dd845f2ce582a7ba6aaf229ebc3ff91433ec828aa","observation_id":"8fb9e043-3f98-4e1a-b81c-c628dc5426c4","resolution":{"observed_at":"2026-08-11T11:47:49.233875Z","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":"2026-08-11T11:47:49.238643Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.238643Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:08ae0fdffca875360c66f38ffbe5498706adcdcec66a735da7e93a4cadac379a","observation_id":"9631d64f-db3d-42e3-81c4-2717765af470","resolution":{"observed_at":"2026-08-11T11:47:49.238643Z","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":"2026-08-11T11:47:50.680139Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":"e4ef8031-e9da-48f3-a08c-950b219960f6","year":2017},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.242891Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:04a4d6cb1b1aa6e524a3eb13b5592d1abcc121e04446db85ec60cc2b975355c8","observation_id":"25b1d4c6-da8e-485d-b744-7aa29f160a03","resolution":{"observed_at":"2026-08-11T11:47:50.684964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-11T11:47:49.247243Z","title":"and Salimans, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.247243Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:1a606bfad2dceb25e60328164e9ec9a47aecf2bf477efb0cd0b1155a241dd9dd","observation_id":"2efbf0d1-7028-40f7-afd3-a0ebf838e65d","resolution":{"observed_at":"2026-08-11T11:47:49.247243Z","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":"2026-08-11T11:47:49.252111Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.252111Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:b9c5cbbd9bc8553f2194f824a552068889f1210d5903ba9d050f9e539ec3d4b5","observation_id":"d72dd1f9-9795-4607-9d37-aa0d55e17ea6","resolution":{"observed_at":"2026-08-11T11:47:49.252111Z","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":"2026-08-11T11:47:50.652660Z","title":"simple diffusion: End-to-end diffusion for high resolution images","venue":null,"work_id":"63d7996c-aa6d-4750-a642-e5eacfd9fd55","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.256409Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:a36a336bf2985070476edca9ffba0fe862b95888bd14b14bc321f88ff32722a6","observation_id":"05b35e3d-be44-465b-98e5-7b3b2fc12826","resolution":{"observed_at":"2026-08-11T11:47:50.657246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.638941Z","title":"Adaptive frequency filters as efficient global token mixers","venue":null,"work_id":"cc69665f-9158-432f-95b5-a37a52ee5195","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.260570Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:32a78003a9c61c2f669efbffcaadd9a6f9c81151b139bb1fdbbd8966d3e0701a","observation_id":"7720a5df-6566-4fe1-b358-35bb47e8b052","resolution":{"observed_at":"2026-08-11T11:47:50.642985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.264894Z","title":"Nfig: Autoregressive image generation with next-frequency prediction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.264894Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:53aae3a25ce0d06639c12578f041f4961291321003e01840bc2c582fc2712f48","observation_id":"be09dfed-25d9-422f-8eec-adb9d51e69ca","resolution":{"observed_at":"2026-08-11T11:47:49.264894Z","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":"2026-08-11T11:47:50.622703Z","title":null,"venue":null,"work_id":"fdfdeb42-9173-4d14-9ce3-abe99e5b2428","year":1944},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.269216Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:177b99ca34f4f6c7787a4d9c71dc6c9a02fab731a46923c71e6120d1eedab0f9","observation_id":"232e7907-a411-4339-a8e7-1bd7548cf3b2","resolution":{"observed_at":"2026-08-11T11:47:50.628140Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.604980Z","title":"Rethinking fid: Towards a better evaluation metric for image generation","venue":null,"work_id":"1973224c-acb1-476c-bd55-b13b0a1f1cac","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.273628Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:91cd42a32d91aca30f28547e407f64972d97d6ad000945f2e902e74bd2a76f69","observation_id":"fa3e6c02-ba1b-4525-b961-2c47c58cb194","resolution":{"observed_at":"2026-08-11T11:47:50.610770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.589352Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":"9e3cbeb4-136f-4e12-be6b-e80b8d4f2ec0","year":2019},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.277843Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:ca0daaa22b34bce32adaf5ca9bfac663217de41f65df48821573a32b8fc36fc2","observation_id":"8da29fc1-df56-4f81-b214-b673568a7a3b","resolution":{"observed_at":"2026-08-11T11:47:50.594673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.574230Z","title":"Elucidating the design space of diffusion-based generative models","venue":null,"work_id":"00005b99-1313-4bf1-aec4-50307536d282","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.282175Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:e4102c46231b3884bf26c0a38a54d359202b26045250b9e3e2c26d79291dfe38","observation_id":"405c569b-d6ec-4cd9-945c-b2c1816058c3","resolution":{"observed_at":"2026-08-11T11:47:50.579384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.558577Z","title":"Analyzing and improving the training dynamics of diffusion models","venue":null,"work_id":"7aa6401e-ee24-416a-b731-4f48926bacb5","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.286333Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:042b6cd29f66fee428da4a7267bf357f972f18bc4d75db2f04cb6f0114be6055","observation_id":"93b6e3d9-8ff9-432f-bfc6-d4ce89333ad7","resolution":{"observed_at":"2026-08-11T11:47:50.563763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.543172Z","title":"and Gao, R","venue":null,"work_id":"76443583-2739-4b47-95d3-a6616796eab5","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.290696Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:0090d9637d573fd73d89ef8d45673cae5dbb88830eebb84a5b4ba891cd92e27c","observation_id":"7549a0a4-7bb4-45ed-a8ba-9c4e3a8fdecb","resolution":{"observed_at":"2026-08-11T11:47:50.547800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.294964Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.294964Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:f6ebad1e87d3f2a311d193a2094df5cf9804bc78b5fb30aa82b15fa3d0eb9656","observation_id":"00d1f52b-4629-41d3-a522-b088133c1ab6","resolution":{"observed_at":"2026-08-11T11:47:49.294964Z","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":"2026-08-11T11:47:50.516347Z","title":null,"venue":null,"work_id":"414a7df7-0131-49a2-a2f5-14208d12bec0","year":2012},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.299203Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:29ddcc96f511725875653cfa2f5d589cc1a9990cd7511ec1a39b32d57974f042","observation_id":"bd750708-3838-4e2c-935b-30b747636fc9","resolution":{"observed_at":"2026-08-11T11:47:50.521417Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.499852Z","title":"and Tomczak, J","venue":null,"work_id":"a35b2601-4094-49c3-8890-281298e6a699","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.307135Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d2b4202e24e68a8319d47cd721d62f3148c0e0c8cec38543cad80a8d68c6ecaa","observation_id":"18f0b88b-caa2-430c-87e8-0ffa8569fd39","resolution":{"observed_at":"2026-08-11T11:47:50.504977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.485613Z","title":"Improved precision and recall metric for assessing generative models","venue":null,"work_id":"0688b4e2-e386-4db6-8640-35b67a95d16c","year":2019},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.311575Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d2dde311ed3621baeea2d754f22029997107fb832838dece149f02201f995454","observation_id":"54743670-17c7-48c3-a42c-b04a3d2ee041","resolution":{"observed_at":"2026-08-11T11:47:50.490381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.470759Z","title":"Alleviating exposure bias in diffusion models through sampling with shifted time steps","venue":null,"work_id":"3d9789e7-f409-4cc6-bf5b-6f39e4cd2c0c","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.315942Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:528b060aef09deda08ede5f2671cb5a189599ad39eb44bab096ef5426bcbe585","observation_id":"287b73c3-e6b6-4a46-a42e-c25a3c43857e","resolution":{"observed_at":"2026-08-11T11:47:50.476057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.455129Z","title":"Magic3d: High-resolution text-to-3d content creation","venue":null,"work_id":"30308dba-8621-4f6e-9b33-e566589fb922","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.320313Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:1ebc23cadad9748df6e0348e8edd4d0cd915109d93a84ea766d6063c920ac901","observation_id":"4682a03f-ebaa-4c58-8106-a0a6390442ef","resolution":{"observed_at":"2026-08-11T11:47:50.460260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.324537Z","title":"T., Ben-Hamu, H., Nickel, M., and Le, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.324537Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:1fe6b06061bb78ccfd911a9075d733a4af2ab9f3f2c77229f5dec36c0e1aa7be","observation_id":"cfb6bc5f-6def-4756-883a-8933f9a5da38","resolution":{"observed_at":"2026-08-11T11:47:49.324537Z","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":"2026-08-11T11:47:49.329039Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.329039Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:ca3a516a9ec2f62564b75e07d384b8eaecf1c154f746dc91f389dd8b9626124b","observation_id":"259416fd-b30a-4d82-a9f8-8ef189d6d9b2","resolution":{"observed_at":"2026-08-11T11:47:49.329039Z","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":"2026-08-11T11:47:50.417716Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":"0d6c93ea-f433-4f32-9a5d-fa62ef70be23","year":2015},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.333516Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:dd7255c12d9534e78f8bf69760438ad50d850c560b15881bd3c6981883439b22","observation_id":"b18936a2-cd20-4e32-b349-71fc8e4a0d26","resolution":{"observed_at":"2026-08-11T11:47:50.423379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.401757Z","title":"Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps","venue":null,"work_id":"c22cac9f-ffe2-4425-82db-97f12a8e7edc","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.338014Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:309f4fe2c44206496fda4cd5a1cf9af3f1369083178a19385330baa7eefe7dcf","observation_id":"7d50cb57-e85f-4653-a2fc-5da7b7b47cbd","resolution":{"observed_at":"2026-08-11T11:47:50.406843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.385304Z","title":"Fast training of convolutional networks through ffts","venue":null,"work_id":"a36952fe-87db-4fe7-90e7-c1a3560b98be","year":2014},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.342549Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:de222dcf2accdd82a3f9e48a0ef3032e6feb2a09ef81f1ba4738d1f716410dd1","observation_id":"70df7635-6c5e-4869-910e-94dcfce491e5","resolution":{"observed_at":"2026-08-11T11:47:50.390369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19997","last_updated":"2024-11-19T12:28:19Z","snapshot_observed_at":"2026-08-20T13:49:03.584971Z","submitted_at":"2024-06-28T15:32:59Z","title":"Wavelets Are All You Need for Autoregressive Image Generation","version":2},"cited_work":{"arxiv_id":"2406.19997","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.19997","snapshot_observed_at":"2026-08-11T11:47:49.754844Z","title":"Wavelets Are All You Need for Autoregressive Image Generation","venue":"cs.LG","work_id":"d2239021-ebe5-41c7-8113-cdd39cabbcb3","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.346998Z"},"links":{"cited_paper":"/paper/2406.19997","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:aa9564c3726b53a9abfa5437b64d03bb0c440189a44c76c03594df1d12279b7d","observation_id":"ea666c93-ee5c-4daf-b2dc-259d4ac6e2de","resolution":{"observed_at":"2026-08-11T11:47:49.759852Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.368066Z","title":"Generating images with sparse representations","venue":null,"work_id":"8e3da038-ee13-4762-8e0f-dc66a81260e0","year":2021},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.351497Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:a7ced51cb9c845f411075b6e79983b679c5af8c2361ddc911f64c8b625871142","observation_id":"6db771e0-7efa-4e60-a7d1-cc9cf2ba6ed0","resolution":{"observed_at":"2026-08-11T11:47:50.373645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.351344Z","title":"Input perturbation reduces exposure bias in diffusion models","venue":null,"work_id":"93ed96a6-3126-4aec-9b68-7b15945fc67f","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.355082Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:76e0b83d5cac386fdaf492d3cf8c2c5e2e43676aef52e2bf383a13afec8d454c","observation_id":"0f49b406-8f29-43fe-b8ab-486092e31bef","resolution":{"observed_at":"2026-08-11T11:47:50.357398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.358637Z","title":"and Xie, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.358637Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:a97fc5f49e5352e3520d6a1bb1d686ff0fca662f4e062cd2116ddc4505ab46d9","observation_id":"047da4e4-5954-476d-bfbe-65d381cdff95","resolution":{"observed_at":"2026-08-11T11:47:49.358637Z","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":"2026-08-11T11:47:50.323478Z","title":"Wavelet diffusion models are fast and scalable image generators","venue":null,"work_id":"34362b76-163d-4459-b482-5d73f2199288","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.362188Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:6a6b245756f98a66a28024205a377baf7b1e5e3ba665e81c1a829c422b526f05","observation_id":"bd96b554-ccb2-431d-8581-0d6a7fc45783","resolution":{"observed_at":"2026-08-11T11:47:50.328368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13720","last_updated":"2025-02-26T16:05:55Z","snapshot_observed_at":"2026-08-17T10:09:03.767186Z","submitted_at":"2024-10-17T16:22:46Z","title":"Movie Gen: A Cast of Media Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13720","snapshot_observed_at":"2026-08-11T11:47:49.365873Z","title":"Movie gen: A cast of media foundation models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.365873Z"},"links":{"cited_paper":"/paper/2410.13720","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:1814548e9f21534dd92031333f518b81ea118a5ca82212d5d40634cd0bc06931","observation_id":"989eea62-b21e-4271-8d48-309622217ce6","resolution":{"observed_at":"2026-08-11T11:47:49.365873Z","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":"2026-08-11T11:47:50.307057Z","title":"T., and Mildenhall, B","venue":null,"work_id":"394e258c-8ca3-4041-8e07-9e5442fbb3d8","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.369594Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:adf68b3c4b6ad52feae9676a128bd7bd1b87541af4ffc7920fd8a1233c79ee4e","observation_id":"9cc74777-c2d8-42d3-9c67-56c15ca207ce","resolution":{"observed_at":"2026-08-11T11:47:50.311849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.292800Z","title":"Fcnn: Fourier convolutional neural networks","venue":null,"work_id":"5d4c7cbb-c0fa-4ccb-836b-2038472274ba","year":2017},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.373464Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:5caf21da120254fd92408f7c12cc25014549ed2b844f17997505104905587ec7","observation_id":"cc6cebf1-039d-463a-921c-9b0f72d093e7","resolution":{"observed_at":"2026-08-11T11:47:50.297325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-08-15T12:50:58.405488Z","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":"2026-08-11T11:47:49.376900Z","title":"Hierarchical text-conditional image generation with clip latents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.376900Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:e60a1cbfdadcf0cf455eb5b5a09ab77d251f54717ce2a943d8a36432ee2fdc01","observation_id":"33d4778c-173f-44b7-8c54-9a469b1d6210","resolution":{"observed_at":"2026-08-11T11:47:49.376900Z","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":"2026-08-11T11:47:50.277356Z","title":null,"venue":null,"work_id":"e1fe553d-3c9f-4a1f-8510-ec4f965da983","year":2014},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.381214Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:9250a6364f31a9c198f5fe3092b19c17c62eaabcd8085d6907702038a80a81ad","observation_id":"667b2878-8154-431a-be6d-a6845d0ee58e","resolution":{"observed_at":"2026-08-11T11:47:50.281797Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.262040Z","title":"You only look once: Unified, real-time object detection","venue":null,"work_id":"fd51e41c-ac8a-4215-a633-885826aecdcc","year":2016},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.385584Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:a84197450b03bb07f72f020e6d49bcc51f2816861b9c67242b38f4344479bf09","observation_id":"f82596b6-54c4-40da-8291-2e5725a3ce18","resolution":{"observed_at":"2026-08-11T11:47:50.267208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.390004Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.390004Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:638790a8ab6800e08aebe92639661c1a35454a97a85914892886dd119420d61f","observation_id":"f949a315-393f-4d90-a19e-fc927e6d21b5","resolution":{"observed_at":"2026-08-11T11:47:49.390004Z","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":"2026-08-11T11:47:49.394314Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.394314Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:f9b038331a493e1dac9f6a750b9bd81b85315c059c64b44d87cd5439bee3a00a","observation_id":"6e8991a0-177f-418a-9226-de171810258e","resolution":{"observed_at":"2026-08-11T11:47:49.394314Z","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":"2026-08-11T11:47:50.225923Z","title":null,"venue":null,"work_id":"f1b8b9b3-8ad9-4c82-abd8-bd7d52f0e31f","year":1997},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.398832Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:c2af9aaaa0680d735d8934ab9a76cdc5100c11b9a5d4cbd392d6ca5bc661f750","observation_id":"75dce7f5-894e-41b2-bf36-0f651d9697cd","resolution":{"observed_at":"2026-08-11T11:47:50.230726Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.209641Z","title":"Align your steps: Optimizing sampling schedules in diffusion models","venue":null,"work_id":"29281f86-da17-4028-9187-9b84db9c2db4","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.403151Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:e57a223422d67464c1ad79550b8f4eb2c6640da028d2d463c95a4d2e890bd25a","observation_id":"9f9b9e36-0b32-46be-be06-bbe97811b0d9","resolution":{"observed_at":"2026-08-11T11:47:50.215206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.408138Z","title":"and Ho, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.408138Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:864c3a3abe48b4b8e0dd23936d528f3c9a0683a05d64e76462127606a10ff3f0","observation_id":"b38a117d-bf2f-4c5c-ac93-8a7230364c8b","resolution":{"observed_at":"2026-08-11T11:47:49.408138Z","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":"2026-08-11T11:47:50.183293Z","title":"Improved techniques for training gans","venue":null,"work_id":"dfca0bf8-3048-4213-9d5a-f1039c99f51a","year":2016},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.412577Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:53e94e58eab2d7e855d4e9a6714f76e5358f568ae410d9202fe6a36b7e100c5a","observation_id":"c9f6af64-ff66-441f-aeb6-83fa66c827e8","resolution":{"observed_at":"2026-08-11T11:47:50.188081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.168523Z","title":"and Zisserman, A","venue":null,"work_id":"1d800937-b995-406b-966c-985473beade3","year":2014},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.416722Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:cc87c7f5e29cd0ee1e86877496f7dfb78795c43c3985c4f307749f5b7c2b2494","observation_id":"120087c3-2940-428d-b633-0b56403dd397","resolution":{"observed_at":"2026-08-11T11:47:50.173101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.153503Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":"045bd4c6-28ea-42d5-8010-a2fbb86c2316","year":2015},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.421683Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:8c9fce62af7402a5f3c9551222ee929b0bedaaba078616a503cb3763c28dcc69","observation_id":"026d11d4-27d6-4f65-9ea5-45e0aa7d9135","resolution":{"observed_at":"2026-08-11T11:47:50.158377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.138760Z","title":"Denoising diffusion implicit models","venue":null,"work_id":"66b5a435-1b9f-4dcd-b2ad-e2e0369c8fda","year":2021},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.425808Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:40c0fab38fd50822c592f826c4565327d69a0259e3d4474b17e53a3b1bfe30d6","observation_id":"37ca85b3-eb18-4931-94d2-28bcc02d817d","resolution":{"observed_at":"2026-08-11T11:47:50.143657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.123140Z","title":"and Ermon, S","venue":null,"work_id":"41322b34-9442-4a9b-a4fc-f2621b006008","year":2019},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.430200Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:48fbc8231b106237a44f97e3b58b2d14efa36a8746330ee7204ff7b29f5e4f1c","observation_id":"31b42481-ca50-4035-ab9b-fc101c263eff","resolution":{"observed_at":"2026-08-11T11:47:50.128059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.434647Z","title":"P., Kumar, A., Ermon, S., and Poole, B","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.434647Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:e2b8299ccd8013be2844f365c119205c8edc1c2f5bd6f4c18528db20a974958f","observation_id":"ce0792d6-0a91-4e32-85b9-fd6f136f4b15","resolution":{"observed_at":"2026-08-11T11:47:49.434647Z","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":"2026-08-11T11:47:50.098383Z","title":"Consistency models","venue":null,"work_id":"a374fa30-8543-46ae-949e-5041b54d7212","year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.439376Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:bea1218af83d1086987dd5227d6109547f4b0b7404ddbfab5cfcd21d1ab40f23","observation_id":"4a96c66f-ba2e-46c7-91cf-42415743f05e","resolution":{"observed_at":"2026-08-11T11:47:50.103043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.082922Z","title":"Language through a prism: A spectral approach for multiscale language representations","venue":null,"work_id":"456725e9-9fd7-4f6e-a21e-72fb0ab1cd21","year":2020},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.443732Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:63f82389b6fbdcbe8db1d5b6180a77562a5c8691d27c184fe0ff33620cb73e58","observation_id":"288eec3a-898d-4e2b-8855-fddc9e2eda2c","resolution":{"observed_at":"2026-08-11T11:47:50.088190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.067568Z","title":"Visual autoregressive modeling: Scalable image generation via next-scale prediction","venue":null,"work_id":"a8fec9df-ab4d-4670-9372-9df9c74362a0","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.448136Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:8ef81c3cbbac9803906ea53dd03009af2a8e8d7449be683f229c195de14af9f6","observation_id":"876d2e7d-0238-4a09-b16d-0faf53d3f5e7","resolution":{"observed_at":"2026-08-11T11:47:50.072626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/089976600300015583","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:47:49.537739Z","title":"and Parga, N","venue":null,"work_id":"e0a97112-c4ea-456a-a4dd-073fbdf5d224","year":2000},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.452537Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:3b3e31779bf6c27db3586baaf175f40c2461138a3f3655e50e11aa7b00903a16","observation_id":"45f79421-1152-4a80-b81d-8c827e6327e5","resolution":{"observed_at":"2026-08-11T11:47:49.542989Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.457045Z","title":"A connection between score matching and denoising autoencoders","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.457045Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d2218a955990636b838957f347f659a202d88dfa57f4e7f8bdb20f25e05c519a","observation_id":"981d9dd4-2034-475b-a5f4-a62cea9dee42","resolution":{"observed_at":"2026-08-11T11:47:49.457045Z","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":"2026-08-11T11:47:50.045286Z","title":null,"venue":null,"work_id":"45b0123c-6af5-4b72-9ecd-4c6ac2cca680","year":1991},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.461242Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:eec8afda0f9ae9944e1ab1d828ed0ce8a60d9ca20df937b77277d578c28f16e4","observation_id":"629c6410-9fbf-490c-9229-00bca9e60772","resolution":{"observed_at":"2026-08-11T11:47:50.049197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.031791Z","title":"Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features","venue":null,"work_id":"4f6f3ceb-567c-4427-9b87-7e2d3bdfa059","year":2019},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.465475Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:de57040d4bf8bbb06868397eaba2a3f5ffc6648ea5c690128d2f6e35ac46ab2d","observation_id":"813f20ed-3534-40db-badf-e93edbabc5f6","resolution":{"observed_at":"2026-08-11T11:47:50.035997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:50.016348Z","title":"Poisson flow generative models","venue":null,"work_id":"8eb99344-b656-49ef-ad69-c263b0c6322c","year":2022},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.469792Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:15486fcd4a4d8651df569b3cb185c0a02092e883f9792f9345b047c444e35fcc","observation_id":"796684b4-3e01-4d04-af98-f562b020df4c","resolution":{"observed_at":"2026-08-11T11:47:50.021328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.998768Z","title":"Sa-solver: Stochastic adams solver for fast sampling of diffusion models","venue":null,"work_id":"70f78a47-daf1-4f33-8504-f0f892c659f2","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.474145Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:dba48b4bac4503fdb72b62d918aa662f383076e4ce74938d29cd5fb85580c4e4","observation_id":"91b02e69-7770-4888-9d22-4594e4ac91dd","resolution":{"observed_at":"2026-08-11T11:47:50.004726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.478664Z","title":"Diffusion probabilistic model made slim","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.478664Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d864779ebf5684eb0b647accb432cc76ac22f8599c2342fa8433c215f625a923","observation_id":"253be19a-2a1d-48db-bb45-2f9a9de2e53c","resolution":{"observed_at":"2026-08-11T11:47:49.478664Z","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":"2026-08-11T11:47:49.483093Z","title":"Frequency autoregressive image generation with continuous tokens","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.483093Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:f012e8cc5c60ec02309cbc43c23e087c5f4efcd82ba90d8be3e5e1793f9884a1","observation_id":"ee7172d4-1fad-4717-a002-fc579baeb04f","resolution":{"observed_at":"2026-08-11T11:47:49.483093Z","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":"2026-08-11T11:47:49.973144Z","title":"Learning long term dependencies via fourier recurrent units","venue":null,"work_id":"a1b66d2c-adaa-485a-afbe-4bfd25fd5d69","year":2018},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.487272Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:b8d6ea1af5f2398a4b662f6afc56f1c82538c235743139a162a118d8ada1d93a","observation_id":"b345ffec-93bb-42ec-89a0-8568ed78e390","resolution":{"observed_at":"2026-08-11T11:47:49.978551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.957840Z","title":"Places: A 10 million image database for scene recognition","venue":null,"work_id":"ec619cf9-449b-459f-bd57-d86ea5b2ce59","year":2017},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.491371Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:b1d8683f92baf6d7c40aaa8fa58e8a1d7e03cad7f0ce391314b6f17655e9d4d9","observation_id":"7f357e01-6d28-4a82-bb3f-60346dfe1a53","resolution":{"observed_at":"2026-08-11T11:47:49.962664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-11T11:47:49.943743Z","title":"Fast ode-based sampling for diffusion models in around 5 steps","venue":null,"work_id":"4a38e78f-8049-4a16-962b-7c7f59023041","year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.495884Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d4fc7abaea166710496392775ba28bcf793dad0baae1c2e09c2c8c94aa146f60","observation_id":"ef0960e0-f456-4beb-9dfe-b75a3c643482","resolution":{"observed_at":"2026-08-11T11:47:49.947923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18616","last_updated":"2024-05-28T21:45:46Z","snapshot_observed_at":"2026-08-17T04:19:22.823769Z","submitted_at":"2024-05-28T21:45:46Z","title":"Wavelet-Based Image Tokenizer for Vision Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18616","snapshot_observed_at":"2026-08-11T11:47:49.500199Z","title":"and Soricut, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.500199Z"},"links":{"cited_paper":"/paper/2405.18616","citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:d2fe5533200356847ed3751ca18533c455716686d107759e463e07f9af81be19","observation_id":"094d4e03-6b8b-4e4d-a602-48853c3dc447","resolution":{"observed_at":"2026-08-11T11:47:49.500199Z","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":"2026-08-11T11:47:49.504886Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","version":2},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-11T11:47:49.504886Z"},"links":{"citing_paper":"/paper/2412.15032"},"observation_digest":"sha256:f31795fc92a53dc3853db7f504820f612ea6e8bc94e48571700a5a3243ae6035","observation_id":"e5a8e3d1-34f9-4fda-97e1-e4c94699a032","resolution":{"observed_at":"2026-08-11T11:47:49.504886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.15032","last_updated":"2025-05-30T15:03:44Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T03:58:29.482468Z","submitted_at":"2024-12-19T16:44:01Z","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space"},"reference_resolution":{"displayed":82,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":2,"verified_fuzzy":44},"total_outbound_references":82},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 14 inbound Pith citation observations for arXiv:2412.15032."}