{"as_of":"2026-08-09T11:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ee692307be2593830c5c5b283142160e35ff9e1280534f94d2fc490aa454c02","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":19,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T04:20:37.744475Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T13:14:41.217333Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-11T05:56:10.970591Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2112.10741"},"observation_digest":"sha256:db83598f553ae256c4db51a22ae4069accfa6ef7e888eb120a57209422182ae3","observation_id":"3997c59a-0bd8-4d06-b89e-10d12957bba3","resolution":{"observed_at":"2026-05-11T05:56:11.356157Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2112.10752","last_updated":"2022-04-13T11:38:44Z","snapshot_observed_at":"2026-07-06T12:20:47.369918Z","submitted_at":"2021-12-20T18:55:25Z","title":"High-Resolution Image Synthesis with Latent Diffusion Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-11T22:02:09.899347Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2112.10752"},"observation_digest":"sha256:4dc2287633ff8b7896d17c3e3c0341fa53279f15f6307314bc9e81d673d702f6","observation_id":"c120c4ef-dcd4-441a-aba7-cba2dd6c5cf8","resolution":{"observed_at":"2026-05-11T22:02:09.995056Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2202.00512","last_updated":"2022-06-07T09:17:35Z","snapshot_observed_at":"2026-07-06T12:33:23.843893Z","submitted_at":"2022-02-01T16:07:25Z","title":"Progressive Distillation for Fast Sampling of Diffusion Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-11T09:37:44.394785Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2202.00512"},"observation_digest":"sha256:12cd8078e7abadfd11f71c3c5e4968141cd091599e1a6d8964dd65b7434c84f8","observation_id":"fec01a33-92eb-4658-9355-3b0a62a6cc16","resolution":{"observed_at":"2026-05-11T09:37:44.582603Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2204.03458","last_updated":"2022-06-22T20:22:29Z","snapshot_observed_at":"2026-07-06T12:57:51.108636Z","submitted_at":"2022-04-07T14:08:02Z","title":"Video Diffusion Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T14:38:27.919104Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2204.03458"},"observation_digest":"sha256:72bf1ef01c807ddfadfa38d40c696b564c6b477147b7783641b55f3b1b1f0fed","observation_id":"8e762a4a-7308-44a3-8bc0-e1132948f783","resolution":{"observed_at":"2026-05-13T14:38:27.984829Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T16:55:57.612364Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2204.06125"},"observation_digest":"sha256:5f1045fd75bb851aed797df26c9992a4b0038d666a68e2a3c58994f73d4db2da","observation_id":"0a5b299c-38bb-4cde-ba92-71090b014fcd","resolution":{"observed_at":"2026-05-10T16:55:57.818719Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_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},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-10T15:00:27.911128Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2207.12598"},"observation_digest":"sha256:5e2427170ff0e0601cec7a93b5379e51ba558d1423f0c49b3f18e0150d5de499","observation_id":"14a98ab9-07a6-41ee-8f32-e738082f8eca","resolution":{"observed_at":"2026-05-10T15:00:27.939636Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2212.09748","last_updated":"2023-03-02T09:06:55Z","snapshot_observed_at":"2026-07-06T14:32:37.317828Z","submitted_at":"2022-12-19T18:59:58Z","title":"Scalable Diffusion Models with Transformers","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-12T06:04:05.434354Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2212.09748"},"observation_digest":"sha256:5702373b5902a557290a3dd55a419d6d8894670e5938550f1d0f5a2e01a3dfae","observation_id":"f9d160be-14a0-45d3-8350-17a7efffb5a9","resolution":{"observed_at":"2026-05-12T06:04:05.731261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-07T21:47:08.589400Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T22:58:51.792047Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2311.15127"},"observation_digest":"sha256:13eb7109d78744b749c0cfdc49dec83e3b78aa00d872c6db33dc2dba1f89df58","observation_id":"063774ac-f08c-4560-bad1-c08ba661c7d8","resolution":{"observed_at":"2026-05-10T22:58:51.972482Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2408.14837","last_updated":"2025-04-24T03:03:57Z","snapshot_observed_at":"2026-07-06T19:06:23.640089Z","submitted_at":"2024-08-27T07:46:07Z","title":"Diffusion Models Are Real-Time Game Engines","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-05-16T12:04:44.162343Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2408.14837"},"observation_digest":"sha256:d0c47e974ab683cc8c5c45ab800759d24485689c86cd78eac8b80214fd6ad5a1","observation_id":"702a40e4-9adf-478c-a0ea-c07c8ff3d988","resolution":{"observed_at":"2026-05-16T12:04:44.313807Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-09T04:20:37.744475Z","title":"Cascaded diffusion models for high fidelity ima ge generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.03645","last_updated":"2025-02-05T22:18:33Z","snapshot_observed_at":"2026-08-09T04:12:57.661371Z","submitted_at":"2025-02-05T22:18:33Z","title":"MNE: overparametrized neural evolution with applications to diffusion processes and sampling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T04:20:37.744475Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2502.03645"},"observation_digest":"sha256:05943b2583d130deca58f409a529b3538d3c8a7ce1479a94f457e98dd02455d6","observation_id":"b0ea5e69-5806-4515-b484-4b2449823c0d","resolution":{"observed_at":"2026-08-09T04:20:37.744475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-07T13:33:53.244353Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.21432","last_updated":"2025-07-08T15:03:11Z","snapshot_observed_at":"2026-08-07T23:59:21.532239Z","submitted_at":"2025-05-27T17:04:21Z","title":"Hume: Introducing System-2 Thinking in Visual-Language-Action Model","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T13:33:53.244353Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2505.21432"},"observation_digest":"sha256:4361f325ea04b3ea07dc72d77e21ac8f0a00381a06aaba3d4de6564beaa00806","observation_id":"b0acd536-3231-4720-905d-cf6adbc16476","resolution":{"observed_at":"2026-08-07T13:33:53.244353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-07T11:54:16.018444Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01144","last_updated":"2025-06-04T07:45:25Z","snapshot_observed_at":"2026-08-09T02:30:41.757787Z","submitted_at":"2025-06-01T19:55:33Z","title":"FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:54:16.018444Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2506.01144"},"observation_digest":"sha256:b4af77d5a6ea9e266db91987cb21082112b427c99c2eb79adacb19445274e0e4","observation_id":"5013d213-eba1-4ef5-9ae4-dcaed096f2be","resolution":{"observed_at":"2026-08-07T11:54:16.018444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-07T00:31:46.169016Z","title":"arXiv preprint arXiv:2106.15282(2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13756","last_updated":"2025-06-16T17:58:29Z","snapshot_observed_at":"2026-08-08T23:29:03.208860Z","submitted_at":"2025-06-16T17:58:29Z","title":"UltraZoom: Generating Gigapixel Images from Regular Photos","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:46.169016Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2506.13756"},"observation_digest":"sha256:ee59dc7e4a1cffa86371433e8c0189620ef495d36c26a97c33d1bc9d375390a2","observation_id":"e5cd4227-1e3f-49fa-a079-5daefc9c44ee","resolution":{"observed_at":"2026-08-07T00:31:46.169016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-06T12:52:18.685392Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21452","last_updated":"2025-07-29T02:43:34Z","snapshot_observed_at":"2026-08-08T04:20:18.531602Z","submitted_at":"2025-07-29T02:43:34Z","title":"Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T12:52:18.685392Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2507.21452"},"observation_digest":"sha256:d8d4f2d542f1f5cec4bfde19a833f38ec019666988ae902ad8d82354b88aa603","observation_id":"80fdeb85-aec8-451d-9c38-803ab7143286","resolution":{"observed_at":"2026-08-06T12:52:18.685392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-05T21:42:51.568116Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.08173","last_updated":"2025-08-13T12:05:00Z","snapshot_observed_at":"2026-08-05T21:42:49.023660Z","submitted_at":"2025-08-11T16:51:28Z","title":"CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T21:42:51.568116Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2508.08173"},"observation_digest":"sha256:a8249415609a7f2b70a8a78157b82b5b4981a99331e9e3f5ffcb6251ad9e4bee","observation_id":"aa39ba80-c925-4357-9032-c3caa519b484","resolution":{"observed_at":"2026-08-05T21:42:51.568116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-08-05T18:23:29.137643Z","title":"Fleet, Mohammad Norouzi, and Tim Salimans","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00029","last_updated":"2025-08-20T13:54:53Z","snapshot_observed_at":"2026-08-08T11:08:56.983262Z","submitted_at":"2025-08-20T13:54:53Z","title":"From Sound to Sight: Towards AI-authored Music Videos","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T18:23:29.137643Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2509.00029"},"observation_digest":"sha256:5304a35f1986df68a939683a6351cfa7c8e1416195399b77d021cb781a0d1966","observation_id":"8474ac28-c3e5-4463-9bb9-edf5a15669f1","resolution":{"observed_at":"2026-08-05T18:23:29.137643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2604.09715","last_updated":"2026-04-08T12:29:33Z","snapshot_observed_at":"2026-07-06T22:58:29.952947Z","submitted_at":"2026-04-08T12:29:33Z","title":"MuPPet: Multi-person 2D-to-3D Pose Lifting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T19:18:33.552735Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2604.09715"},"observation_digest":"sha256:97be3bc310be407931c1ed3714a6aa72e932fa339ed89c95d057f747e7687e99","observation_id":"06e292c9-404a-451e-8d5d-e0265400134d","resolution":{"observed_at":"2026-05-10T23:10:51.380359Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2605.21042","last_updated":"2026-05-20T11:24:02Z","snapshot_observed_at":"2026-07-06T23:31:32.577242Z","submitted_at":"2026-05-20T11:24:02Z","title":"Dynamic Video Generation: Shaping Video Generation Across Time and Space","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T05:42:41.925474Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2605.21042"},"observation_digest":"sha256:f2ce13d457e3247d322f9b2e9002c376684a4190e8ad7c0c5ea5238594453799","observation_id":"1c53d466-7238-4c31-afdf-8cd2463f3348","resolution":{"observed_at":"2026-05-21T05:43:58.847338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation","version":3},"cited_work":{"arxiv_id":"2106.15282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15282","snapshot_observed_at":"2026-06-30T13:14:41.217333Z","title":"Cascaded diffusion models for high fidelity image generation","venue":null,"work_id":"683a54c3-7d5f-454f-854b-a4aeca9df7d7","year":2021},"citing_paper":{"arxiv_id":"2605.24690","last_updated":"2026-05-23T17:59:15Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T17:59:15Z","title":"Sum of Costs Diffusion with Dynamic Guidance for Motion Planning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T12:55:53.596581Z"},"links":{"cited_paper":"/paper/2106.15282","citing_paper":"/paper/2605.24690"},"observation_digest":"sha256:614f391dcffae99c2110684e622722a7788097c9f6172b3edc2dfb32e8db6261","observation_id":"518739cc-6075-455b-8b70-02a785efcf86","resolution":{"observed_at":"2026-06-30T13:14:41.218784Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.15282/citation-record","integrity":"/paper/2106.15282/integrity","json":"/paper/2106.15282/citation-record.json","paper":"/paper/2106.15282"},"outbound":[],"paper":{"arxiv_id":"2106.15282","last_updated":"2021-12-17T17:21:04Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T06:41:10.116700Z","submitted_at":"2021-05-30T17:14:52Z","title":"Cascaded Diffusion Models for High Fidelity Image Generation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2106.15282."}