{"as_of":"2026-08-04T16:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe3673d77a5e0f0c56861193d517c625447c13df863c274047eac60baf924c97","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T12:56:21.200027Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.18190/citation-record","integrity":"/paper/2605.18190/integrity","json":"/paper/2605.18190/citation-record.json","paper":"/paper/2605.18190"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.04770","last_updated":"2026-02-06T07:18:33Z","snapshot_observed_at":"2026-07-06T22:44:33.166340Z","submitted_at":"2026-02-04T17:06:49Z","title":"Generative Modeling via Drifting","version":2},"cited_work":{"arxiv_id":"2602.04770","doi":"10.48550/arxiv.2602.04770","metadata_source":"pith","pith_arxiv_id":"2602.04770","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Generative Modeling via Drifting","venue":"cs.LG","work_id":"9a5ed1ec-27cf-442b-b350-3016e61aed26","year":2026},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2602.04770","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:574e5b64d252e0b419848e18600c52bcf4b4049904dd849c4f5792cd62e149c9","observation_id":"fffd03e0-c4bb-4bd0-89a0-6cfdae38b3e1","resolution":{"observed_at":"2026-05-20T12:58:17.822384Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a91d8960-bd6b-4683-95e5-3381e0b59bd3","year":2024},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:38a9fa836efda7239229e7cf21b98a980bbdb654eb745901c723256900ce753a","observation_id":"cf37a98e-98ac-49c1-87d8-f3f3dd5541b9","resolution":{"observed_at":"2026-05-20T12:58:18.492570Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13447","last_updated":"2025-05-19T17:59:42Z","snapshot_observed_at":"2026-07-06T21:26:30.087184Z","submitted_at":"2025-05-19T17:59:42Z","title":"Mean Flows for One-step Generative Modeling","version":1},"cited_work":{"arxiv_id":"2505.13447","doi":"10.48550/arxiv.2505.13447","metadata_source":"pith","pith_arxiv_id":"2505.13447","snapshot_observed_at":"2026-07-11T02:27:49.401808Z","title":"Mean Flows for One-step Generative Modeling","venue":"cs.LG","work_id":"07a52ad5-0f82-4095-9a66-559b09fea1ae","year":2025},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2505.13447","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:fba48d9b3819fa8fb937011319862b9a50e9d78c935d273640589ff60614d3da","observation_id":"0d2f613c-2172-4445-b14e-8841a0c31da7","resolution":{"observed_at":"2026-05-20T12:58:17.825161Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08128","last_updated":"2024-02-20T14:50:23Z","snapshot_observed_at":"2026-08-04T13:02:18.675594Z","submitted_at":"2023-12-13T13:30:27Z","title":"Clockwork Diffusion: Efficient Generation With Model-Step Distillation","version":2},"cited_work":{"arxiv_id":"2312.08128","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08128","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Habibian, A","venue":null,"work_id":"87a5453e-9035-4ebc-bb71-312911ee99ce","year":null},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2312.08128","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:bb5f997026b99ad70ee36cb774bafa1c172a4e25d35d463041007964b17e9df6","observation_id":"264dd2da-12da-49c1-b645-1ee1fd4a4143","resolution":{"observed_at":"2026-05-20T12:58:17.819970Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":"2207.12598","doi":"10.1109/cvpr52733.2024.02494","metadata_source":"pith","pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Classifier-Free Diffusion Guidance","venue":"cs.LG","work_id":"acf2c588-c088-4a6c-938e-150ad7c666d7","year":2022},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:43650d1f9c7abb69d5d55b643a86ed095d9da78f6af3098473d96d752f14d0f2","observation_id":"1fecd2e9-d47e-4962-bca8-27758cc93d8b","resolution":{"observed_at":"2026-05-20T12:58:17.828192Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02397","last_updated":"2024-11-07T17:06:32Z","snapshot_observed_at":"2026-07-06T19:45:00.034364Z","submitted_at":"2024-11-04T18:59:44Z","title":"Adaptive Caching for Faster Video Generation with Diffusion Transformers","version":2},"cited_work":{"arxiv_id":"2411.02397","doi":"10.48550/arxiv.2411.02397","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02397","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Ryoo, and Tian Xie","venue":null,"work_id":"a4eb5eca-2540-42b6-b951-52e4fdb68f1e","year":2025},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2411.02397","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:34192a35aefc49acf95507302e8d75b848dd90f67561758539c2819416d5d481","observation_id":"06612c93-641e-47f5-a578-08431a484311","resolution":{"observed_at":"2026-05-20T12:58:17.811354Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:00.142505+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:00.142505+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02279","last_updated":"2024-03-30T06:29:48Z","snapshot_observed_at":"2026-07-06T16:27:18.829052Z","submitted_at":"2023-10-01T05:07:17Z","title":"Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion","version":3},"cited_work":{"arxiv_id":"2310.02279","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02279","snapshot_observed_at":"2026-07-04T20:00:07.641642Z","title":"Consistency traject ory models: Learning probability flow ode trajectory of diffusion","venue":null,"work_id":"a90058e8-51cb-4b7e-af8c-00f24d35a065","year":2023},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2310.02279","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:3c43c2bdb36a1731086fc7964ea846fc2bbe95c537486cde5faeb2347b0bdc27","observation_id":"e2317954-39a7-474f-8c11-06367313e8de","resolution":{"observed_at":"2026-05-20T12:58:17.817079Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:9a09f7cce596c45cf7f7a151adb7cf16f87b9604ba56e81400ac582a4bf6daa0","observation_id":"5291c7e4-f009-446a-9da9-adab49a70b2e","resolution":{"observed_at":"2026-05-20T12:58:17.796339Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.09761","last_updated":"2021-03-30T19:48:38Z","snapshot_observed_at":"2026-07-06T09:57:19.117228Z","submitted_at":"2020-09-21T11:20:38Z","title":"DiffWave: A Versatile Diffusion Model for Audio Synthesis","version":3},"cited_work":{"arxiv_id":"2009.09761","doi":"10.48550/arxiv.2009.09761","metadata_source":"pith","pith_arxiv_id":"2009.09761","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"DiffWave: A Versatile Diffusion Model for Audio Synthesis","venue":"eess.AS","work_id":"042bbb99-f912-4aa4-aa7a-252c7b6379a8","year":2020},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2009.09761","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:a55b90e531c8b06421db7c834adc0b9a22d4afa41c3d3987504a2b4b3fe7d0e0","observation_id":"48defc5b-d9a8-4f77-8d2c-96b26daadf1b","resolution":{"observed_at":"2026-05-20T12:58:17.805141Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02747","last_updated":"2025-02-26T10:49:33Z","snapshot_observed_at":"2026-08-04T13:59:48.514742Z","submitted_at":"2024-04-03T13:44:41Z","title":"Faster Diffusion via Temporal Attention Decomposition","version":3},"cited_work":{"arxiv_id":"2404.02747","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.02747","snapshot_observed_at":"2026-07-07T18:04:00.516299Z","title":"Faster diffu- sion via temporal attention decomposition","venue":"cs.CV","work_id":"8284a147-7818-43f4-ae61-e7da648212d6","year":2024},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2404.02747","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:5ff41fa6a2bf380d2031ceb8184f07c6618bfef52e0d502f473edb4da2c38a63","observation_id":"289e54bd-3289-4c68-857d-2896299e8204","resolution":{"observed_at":"2026-05-20T12:58:17.814219Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11081","last_updated":"2025-03-01T09:52:49Z","snapshot_observed_at":"2026-07-06T19:33:30.263638Z","submitted_at":"2024-10-14T20:43:25Z","title":"Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models","version":2},"cited_work":{"arxiv_id":"2410.11081","doi":"10.48550/arxiv.2410.11081","metadata_source":"pith","pith_arxiv_id":"2410.11081","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models","venue":"cs.LG","work_id":"1151c0b6-2be7-436c-ab83-843d92dea769","year":2024},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2410.11081","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:af07a0f036765aafd012faba6f60e3384c0d9923481de7a68b13d37399f494b1","observation_id":"acac6f20-a502-492b-a21c-f458bae1e16b","resolution":{"observed_at":"2026-05-20T12:58:17.802477Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-24T01:23:52.637926+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:23:52.637926+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.13397","last_updated":"2023-04-12T19:50:24Z","snapshot_observed_at":"2026-07-06T13:25:05.833382Z","submitted_at":"2022-06-21T13:40:38Z","title":"Generative Modelling With Inverse Heat Dissipation","version":7},"cited_work":{"arxiv_id":"2206.13397","doi":"10.48550/arxiv.2206.13397","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.13397","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Generative modelling with inverse heat dissipation","venue":null,"work_id":"9f3f889c-bc25-4930-9d78-0b8cec7b7cd2","year":2023},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2206.13397","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:82a00389980b65cd55c4c4dd1c52bc47957eabd16b2480a56f8dd0d8380bcf26","observation_id":"d46180b7-9ee7-40ab-963b-00bc2ad83ec7","resolution":{"observed_at":"2026-05-20T12:58:17.808161Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05317","last_updated":"2025-02-19T10:39:58Z","snapshot_observed_at":"2026-07-06T19:29:14.335016Z","submitted_at":"2024-10-05T03:47:06Z","title":"Accelerating Diffusion Transformers with Token-wise Feature Caching","version":4},"cited_work":{"arxiv_id":"2410.05317","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05317","snapshot_observed_at":"2026-07-04T13:39:50.680105Z","title":"Accelerating diffusion transformers with token-wise feature caching","venue":null,"work_id":"08432422-a8f5-4710-9e6e-27ca624f31eb","year":2024},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"cited_paper":"/paper/2410.05317","citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:2a58e79c4c5299abfa6c5ae1152e27c6c4b7c7db67bbc673a6646d292c904925","observation_id":"7a498097-7e8f-43ed-8b10-3268e60b9a3e","resolution":{"observed_at":"2026-05-20T12:58:17.799378Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"(2025) and Salimans et al","venue":null,"work_id":"a423c84b-76b0-4add-abbe-89ab566714a1","year":2025},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:f51d6d9980eabc334b9c15db8327accffdfb7b5ebafcbde94249a8e66fbcc1df","observation_id":"e62d8295-952a-42ad-b142-83d5566cf6c8","resolution":{"observed_at":"2026-05-20T12:58:18.490689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"For sampling, we use the standard ancestral sampling algorithm adopted for Dual-Rate Diffusion (see Algorithm 1)","venue":null,"work_id":"cf372eff-2a41-4a15-885f-9c7884c0758b","year":2022},"citing_paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T12:56:21.200027Z"},"links":{"citing_paper":"/paper/2605.18190"},"observation_digest":"sha256:f2e2a44b4801f50e7a6cb9f6da70cec378c397b2e7c4d2fd7690075389d81455","observation_id":"370783a5-949e-4b1c-be45-10710eff055d","resolution":{"observed_at":"2026-05-20T12:58:18.488665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.18190","last_updated":"2026-05-18T10:30:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T01:15:03.279420Z","submitted_at":"2026-05-18T10:30:02Z","title":"Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":12,"verified_fuzzy":2},"total_outbound_references":15},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.18190."}