{"as_of":"2026-08-08T04:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ebc42d8d21fb6291393f0aa2c079b9a89ed44c5c9e69a12648984871478b853","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:49:27.427031Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T16:05:02.363658Z","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":"2026-05-11T09:21:01.321046Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"cited_work":{"arxiv_id":"2505.20984","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.20984","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generative image compression by estimating gradients of the rate-variable feature distribution","venue":null,"work_id":"06db350e-7e8c-4fdb-bbad-3deeeb35cf8e","year":2025},"citing_paper":{"arxiv_id":"2604.10546","last_updated":"2026-05-04T09:22:48Z","snapshot_observed_at":"2026-07-06T22:59:09.778842Z","submitted_at":"2026-04-12T09:25:24Z","title":"Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T16:05:02.363658Z"},"links":{"cited_paper":"/paper/2505.20984","citing_paper":"/paper/2604.10546"},"observation_digest":"sha256:db2735bf5d85ec00696646f59abf33b38493d2fbf586b9d959abd21449cf7dd5","observation_id":"50d30a82-6d18-42de-890e-20b40dec91f1","resolution":{"observed_at":"2026-05-11T09:21:01.323123Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.20984/citation-record","integrity":"/paper/2505.20984/integrity","json":"/paper/2505.20984/citation-record.json","paper":"/paper/2505.20984"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:49:32.797361Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"00357d52-cac1-4115-a6a6-f5aacaa6d51b","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.357044Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:580450a4e523ba5c41a8bfa49ab806d2a9525e53ea9931228cbf4d6f55c225ad","observation_id":"cdea182e-7c30-413d-9dac-84f6d54e313a","resolution":{"observed_at":"2026-08-07T13:49:32.902242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:32.637514Z","title":"In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (July 2017) 7, 8","venue":null,"work_id":"f6eb339b-1d97-4176-b883-28868df73edc","year":2017},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.397503Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:f77c3d7112fdd7516d4af8381fab6b37eb75133f8498e94e9cb00f01b973d472","observation_id":"81a8ad03-e94d-4e25-bf3e-39e781e77aad","resolution":{"observed_at":"2026-08-07T13:49:32.707085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:32.514104Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"8862a04d-7276-427f-b1e2-69ebcc859283","year":2019},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.595120Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:a7811dc148b6ef39a81c54c10e1cd324a0ca4006526bb1c414e63804f896be76","observation_id":"bbacfc96-19d0-4f71-ad2c-41ee84f7ed8a","resolution":{"observed_at":"2026-08-07T13:49:32.577546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01704","last_updated":"2017-03-03T14:53:13Z","snapshot_observed_at":"2026-08-06T14:10:12.161882Z","submitted_at":"2016-11-05T21:39:53Z","title":"End-to-end Optimized Image Compression","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01704","snapshot_observed_at":"2026-08-07T13:49:23.679102Z","title":"arXiv preprint arXiv:1611.01704 (2016) 1, 2, 3, 6","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.679102Z"},"links":{"cited_paper":"/paper/1611.01704","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:d75f206a7015b086419bcb92b573c3d00497dbfa4d318a5e276d24d2b221a367","observation_id":"93fb3d4e-e6cf-4d18-aef7-dfc6f21067c7","resolution":{"observed_at":"2026-08-07T13:49:23.679102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.01436","last_updated":"2018-05-01T05:30:29Z","snapshot_observed_at":"2026-08-02T09:34:56.255411Z","submitted_at":"2018-02-01T00:42:29Z","title":"Variational image compression with a scale hyperprior","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01436","snapshot_observed_at":"2026-08-07T13:49:23.743269Z","title":"arXiv preprint arXiv:1802.01436 (2018) 1, 2, 3, 6","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.743269Z"},"links":{"cited_paper":"/paper/1802.01436","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:d1e7c2d4ba9148d7ac6e60fc9f9610e0dc4b3aa23b9fa3ab6565cdf4bee3680d","observation_id":"dd30a365-54f6-4a4b-af34-9a1f859bd77c","resolution":{"observed_at":"2026-08-07T13:49:23.743269Z","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":"2026-08-07T13:49:32.373618Z","title":null,"venue":null,"work_id":"d6fd1853-0db7-49f7-bb2c-a816d1a93f42","year":2015},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.794117Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:d845933a55017bfd7420e4f6b6b0da3d636212e784c5743b4bbb826e1dd5c72d","observation_id":"b9028a0a-b6b8-41b7-a2d2-fd1f710f06f5","resolution":{"observed_at":"2026-08-07T13:49:32.436894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.01401","last_updated":"2021-01-14T05:36:59Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-01-04T15:25:26Z","title":"Demystifying MMD GANs","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.01401","snapshot_observed_at":"2026-08-07T13:49:23.889178Z","title":"arXiv preprint arXiv:1801.01401 (2018) 8","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.889178Z"},"links":{"cited_paper":"/paper/1801.01401","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:adbce35e74e4699e5818509f98392063e1d02e9d93f8955d6a2778e382d8bdec","observation_id":"d6c3a9fc-5e7b-455d-8abd-c1586bc8616b","resolution":{"observed_at":"2026-08-07T13:49:23.889178Z","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":"2026-08-07T13:49:32.198234Z","title":"In: The Twelfth International Conference on Learning Representations (2023) 1, 4","venue":null,"work_id":"829e047a-e7c8-44e6-87ef-ea040de6e011","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:23.959111Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:5cf06deb539a81e41df89f4a03de42e1152e3761415206325b00017af26c5937","observation_id":"6dc49134-15da-4dbb-867a-f2781435818e","resolution":{"observed_at":"2026-08-07T13:49:32.288550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:32.057624Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"5d272b35-e0be-4387-88d6-671722eedde6","year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.044537Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:11272d1f21422dff3b2ee0db3e7dc392b74f869c5415151ac029282b536d886a","observation_id":"b749e448-e2e2-42fc-aa00-6304543d6555","resolution":{"observed_at":"2026-08-07T13:49:32.106144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:31.882159Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"a5dfaabf-fae6-43b0-a6ee-d42feac4798f","year":2019},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.233026Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:6f59be91771d42869733a484ac751f2e47abeb92876f5b3217b2e7abab3b11fd","observation_id":"acd18cef-e90a-41b1-b7bc-086fe53cb2d4","resolution":{"observed_at":"2026-08-07T13:49:31.970887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:31.688131Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"93125eb3-018d-47f3-aa2e-c096935ba8b6","year":2021},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.392859Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:5f7287c2de77c37ab0780b574f89087962b064f65b47baae9ab86c1f4d17c444","observation_id":"07ff640a-ba3d-498c-b091-294f53f231e5","resolution":{"observed_at":"2026-08-07T13:49:31.748274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:31.521650Z","title":"In: 2009 IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"4e9099e3-d16f-4d25-943e-511b544b043e","year":2009},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.564349Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:2afd1c7aa26e0fd7fa611ce197b1e28ca939e8a491fc1e79f0d6d6b420b03111","observation_id":"5da8321a-684c-4305-83dc-dc03836678fa","resolution":{"observed_at":"2026-08-07T13:49:31.593394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:31.356054Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"9eae752d-9835-46af-9fb0-dc3844553a91","year":2021},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.660408Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:7ddd371d317c3f34d693207d86a08cf5c05591f6420a22a00e3fcfacec5b5c28","observation_id":"4e1c7725-5356-44ed-aebe-bf305f3d880b","resolution":{"observed_at":"2026-08-07T13:49:31.450195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:31.184198Z","title":"Advances in neural information processing systems 27 (2014) 1","venue":null,"work_id":"ba4d04e0-78eb-4dab-b098-075e42895af9","year":2014},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.784385Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:e74b3d1294ff3c8db696460cec26388ed27b0696e3df96d22262458fea38a77c","observation_id":"bcf344b8-a6f4-424e-adff-d31f54633da5","resolution":{"observed_at":"2026-08-07T13:49:31.258718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04847","last_updated":"2024-10-07T09:08:32Z","snapshot_observed_at":"2026-07-06T19:28:52.383175Z","submitted_at":"2024-10-07T09:08:32Z","title":"Causal Context Adjustment Loss for Learned Image Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04847","snapshot_observed_at":"2026-08-07T13:49:24.857841Z","title":"arXiv preprint arXiv:2410.04847 (2024) 1, 6, 7","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.857841Z"},"links":{"cited_paper":"/paper/2410.04847","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:3020f8aa3d4ac4e85b19548991d858c6478e4fbba8a2642bddad9bd9817629da","observation_id":"8e279560-701c-4454-b84d-c8016cb73462","resolution":{"observed_at":"2026-08-07T13:49:24.857841Z","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":"2026-08-07T13:49:31.058747Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"7af06df8-90ab-41b9-b103-92eefbeacbb6","year":2022},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:24.945199Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:0bcf5f34302b48e05c77077bfaf15bbf76c1e9dbd84176d537541b37f049a4d9","observation_id":"07eb8de6-71fa-4a0b-92ca-a17b2c2c869a","resolution":{"observed_at":"2026-08-07T13:49:31.126858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:30.945781Z","title":"Advances in neural information processing systems 30 (2017) 8 10","venue":null,"work_id":"bd3f82fe-4e3a-4e3f-ad74-d331b51c1b47","year":2017},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.031015Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:8929f0f956748c521bfa919f0bf55fe28d9cd582373f98381345152667faeff1","observation_id":"c587891e-ff12-43e8-b96d-95e23942d5d3","resolution":{"observed_at":"2026-08-07T13:49:30.993708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:30.821649Z","title":"Advances in neural information processing systems 33, 6840–6851 (2020) 1","venue":null,"work_id":"59d9138f-fba8-4f40-9296-2011f2c8ce75","year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.109477Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:a86a49b6d9d4bf2712a000f192e047e21322ba525b9f9c964077f6d907189a81","observation_id":"1f1b7a4a-405c-4de8-8714-86be721c2cac","resolution":{"observed_at":"2026-08-07T13:49:30.884678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18231","last_updated":"2024-03-07T20:28:54Z","snapshot_observed_at":"2026-08-07T18:41:59.021338Z","submitted_at":"2023-05-26T17:16:16Z","title":"High-Fidelity Image Compression with Score-based Generative Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18231","snapshot_observed_at":"2026-08-07T13:49:25.241254Z","title":"arXiv preprint arXiv:2305.18231 (2023) 1, 4","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.241254Z"},"links":{"cited_paper":"/paper/2305.18231","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:b5931b25787f5d0978edf661c54a873e5ddbbdcca7bc6076f4b40f12922b7525","observation_id":"3e1eed39-f7b7-4de1-9a09-82615103a33c","resolution":{"observed_at":"2026-08-07T13:49:25.241254Z","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":"2026-08-07T13:49:30.648944Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"25ee1e7d-6830-49ee-ada0-e845c97d82b6","year":2024},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.309359Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:cb6d20f61a14c4e0fdf0170a84e663ebad185b581dd80f212d200bbc5267062c","observation_id":"4cbbafdd-de08-44cc-8a24-42a54eaae799","resolution":{"observed_at":"2026-08-07T13:49:30.731947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:30.502500Z","title":"Advances in neural information processing systems35, 26565–26577 (2022) 4, 5, 6, 7","venue":null,"work_id":"99ef6671-1bb3-4d4d-a874-016f1f2054ff","year":2022},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.367050Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:a7a210276d3e4caf832e5a9a33a9dd6c27def59974d2f9a1ee599a3f210372cd","observation_id":"5377c986-1be4-4399-9ddf-ebb42c32b63b","resolution":{"observed_at":"2026-08-07T13:49:30.560116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:30.372733Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"1d86c263-b472-4f6e-955c-9eeb82b9f962","year":2021},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.480787Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:4f1551e4a5d1bfded386c8fbf82493ba87ae5e9c33b25426f0d06a02e2593f17","observation_id":"3421bbcf-b00c-45d1-aa4c-7f647983aee8","resolution":{"observed_at":"2026-08-07T13:49:30.435559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:30.204410Z","title":null,"venue":null,"work_id":"faa51959-237e-4f67-93d9-25d55a89f0b6","year":1993},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.550971Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:62dc012b9c4c4079d014b723758c4ab1f256e360b69e942537b8511e7d8902fe","observation_id":"bc5bc4e5-c5ff-4ae1-b702-f7e6b3d68470","resolution":{"observed_at":"2026-08-07T13:49:30.282235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:30.069941Z","title":"International journal of computer vision 128(7), 1956–1981 (2020) 7","venue":null,"work_id":"12c3c473-83e9-4832-bd72-c842ba2d95b6","year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.619782Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:52000f37c8afecbf357219a14b45235b6c26bfce126c9bfe7c8ab058ffb36730","observation_id":"9e23f9a8-0fb8-492b-a00d-ff9866fd1db3","resolution":{"observed_at":"2026-08-07T13:49:30.141890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01944","last_updated":"2023-07-04T22:26:20Z","snapshot_observed_at":"2026-08-05T09:19:37.395808Z","submitted_at":"2023-07-04T22:26:20Z","title":"Text + Sketch: Image Compression at Ultra Low Rates","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01944","snapshot_observed_at":"2026-08-07T13:49:25.688393Z","title":"arXiv preprint arXiv:2307.01944 (2023) 1, 4","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.688393Z"},"links":{"cited_paper":"/paper/2307.01944","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:5840c23088d7ee4538ddfa0a11132da94a67b2be708db1555c0306ea032bc477","observation_id":"d80929f9-0ce7-4269-b544-18e305c3987b","resolution":{"observed_at":"2026-08-07T13:49:25.688393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00758","last_updated":"2025-07-19T07:25:30Z","snapshot_observed_at":"2026-07-06T18:24:01.251445Z","submitted_at":"2024-06-02T14:22:09Z","title":"Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00758","snapshot_observed_at":"2026-08-07T13:49:25.767765Z","title":"arXiv preprint arXiv:2406.00758 (2024) 1, 4, 8, 13","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.767765Z"},"links":{"cited_paper":"/paper/2406.00758","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:5cf34b9c6b32f15ae8bf93be04a615c9ab52e12f49496fb4d5277d29d59a997b","observation_id":"ec630404-5307-4f47-8df7-e0c6f463f694","resolution":{"observed_at":"2026-08-07T13:49:25.767765Z","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":"2026-08-07T13:49:29.899033Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"8a6a9f24-2b82-400f-aa68-df20c839a00b","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.828533Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:fd9ca56fb8fdc5cdb52cb55800a73ab55e1679e2e994948f3a52ebed22592516","observation_id":"dd554545-f97e-4137-9ba2-e747248e22d3","resolution":{"observed_at":"2026-08-07T13:49:29.980600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T13:49:25.886182Z","title":"arXiv preprint arXiv:1711.05101 (2017) 7","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.886182Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:dada062680d91eeee6806649389a9b499618f8612be1b78a6af3241338b51795","observation_id":"1ad17c92-0d66-47dc-847e-ab142dffcd22","resolution":{"observed_at":"2026-08-07T13:49:25.886182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.00496","last_updated":"2025-05-15T03:00:00Z","snapshot_observed_at":"2026-08-07T16:18:19.548279Z","submitted_at":"2025-04-01T07:43:10Z","title":"Learned Image Compression with Dictionary-based Entropy Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.00496","snapshot_observed_at":"2026-08-07T13:49:25.956638Z","title":"arXiv preprint arXiv:2504.00496 (2025) 1","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.956638Z"},"links":{"cited_paper":"/paper/2504.00496","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:b3c5df353ed8db40ff9ea21b8713cc19936402ea2dddfaa4bad3ccbe65c65d8c","observation_id":"ef38b0f8-b739-4454-b4eb-bec9d5f6aa6f","resolution":{"observed_at":"2026-08-07T13:49:25.956638Z","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":"2026-08-07T13:49:29.707493Z","title":"In: 2024 Data Compression Conference (DCC)","venue":null,"work_id":"1ba51fa1-6812-4511-9370-65fa191894ca","year":2024},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.060775Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:8feb4312353c82fa0c42f942be7678de1aaf7ba4ace24a24efbf0c87c59eaa66","observation_id":"372b54f3-caf5-4cf7-ae76-7fe5fd222ddd","resolution":{"observed_at":"2026-08-07T13:49:29.769138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:29.566138Z","title":"Advances in neural information processing systems 33, 11913–11924 (2020) 1, 4, 8, 9, 13","venue":null,"work_id":"3d749756-a31e-4dd8-ae8e-553db2646be3","year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.123511Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:09ebb48b64e8f2bddf62c1ff124a2275c2ed89e4ad795ce7dac630ce2ef6589e","observation_id":"c466d563-e13e-4285-ac1b-286f33fdcdf5","resolution":{"observed_at":"2026-08-07T13:49:29.638700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:29.411202Z","title":"Advances in neural information processing systems 31 (2018) 1","venue":null,"work_id":"f7cb6db1-06b8-4334-b61b-cfae3d8b702d","year":2018},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.217436Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:7bf2fdc0d5f833c59ae8e59074eef3b7731d6466047592105c42697c6f44af3d","observation_id":"5752dd8a-b3e9-400d-ace9-6dd058598295","resolution":{"observed_at":"2026-08-07T13:49:29.492754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:29.255155Z","title":"In: 2020 IEEE International Conference on Image Processing (ICIP)","venue":null,"work_id":"c09f874f-7004-4f69-8b7d-4832f9d211db","year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.323962Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:526c59da1fe244887435b61f2cc8921982fba3cef1c3bb2efabe285df4ccf806","observation_id":"e19d63f5-19fd-4cd5-ae8c-0af0cc166d96","resolution":{"observed_at":"2026-08-07T13:49:29.333359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:29.098606Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"96d98275-5764-4c17-a8ad-a59956f0d139","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.385078Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:927469e6b46183c4bfb15da1c9d076512bc5e915e748d01cb42a583b229a7458","observation_id":"b1dda476-2519-4d87-8047-5725c8374d44","resolution":{"observed_at":"2026-08-07T13:49:29.177920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.05492","last_updated":"2022-03-14T08:20:55Z","snapshot_observed_at":"2026-08-01T13:55:27.734375Z","submitted_at":"2022-02-11T08:03:31Z","title":"Entroformer: A Transformer-based Entropy Model for Learned Image Compression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.05492","snapshot_observed_at":"2026-08-07T13:49:26.441267Z","title":"arXiv preprint arXiv:2202.05492 (2022) 1 11","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.441267Z"},"links":{"cited_paper":"/paper/2202.05492","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:a544734f7f80f8d2ecf0b75eeb43f5c97f2fdbb609d3bdc6a20e862cb17bac7c","observation_id":"ffad8f32-6626-43b2-866a-11c604285fb4","resolution":{"observed_at":"2026-08-07T13:49:26.441267Z","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":"2026-08-07T13:49:28.956361Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"661c1285-88fe-45ee-85f7-b8d19a65d4f1","year":2022},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.527146Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:54f7817dc5a0f88e743844a634c4c02134320c3d249cfb2b84788b92548ae6bc","observation_id":"d8c73b1f-d107-439f-9c91-2d6f10f8b074","resolution":{"observed_at":"2026-08-07T13:49:29.011969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:28.784753Z","title":"The Bell system technical journal 27(3), 379–423 (1948) 3","venue":null,"work_id":"ec3dc27f-a58f-48c0-b720-0cc045f8108f","year":1948},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.596249Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:1928bc8d6150df0fe0e096dac5be732b30144f6b1749c75916508df3d71df4bb","observation_id":"e87ce1a9-25c4-4726-bbae-080aa7243fc2","resolution":{"observed_at":"2026-08-07T13:49:28.865145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T13:49:26.700930Z","title":"arXiv preprint arXiv:2010.02502 (2020) 5, 6","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.700930Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:58460aadadb0e9cabb9c377b5fed513029a9eaacee1e5754c0dcfefe52840961","observation_id":"321690ed-3cc2-4b9c-975e-fae6c615a96c","resolution":{"observed_at":"2026-08-07T13:49:26.700930Z","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":"2026-08-07T13:49:28.642600Z","title":"Advances in neural information processing systems 32 (2019) 1, 2, 3, 4, 5","venue":null,"work_id":"f1ec0cea-b648-4b91-958a-3f00ecc14cb1","year":2019},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.754320Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:ae8890381a90ac90fd3855cba8b117fa242e37d24543ed5660e784eaf7a7eaf7","observation_id":"4b48b5f8-416e-4dea-b747-1db353762c88","resolution":{"observed_at":"2026-08-07T13:49:28.706794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-07T13:49:26.838300Z","title":"arXiv preprint arXiv:2011.13456 (2020) 2, 3, 4, 5, 6","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.838300Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:633d5aaa86247b70d54a229d87e1bd71fbacd5bcc8a95b018f7c900bacac95e6","observation_id":"3c34c410-92b0-4fde-ad9d-07da96bd3eb5","resolution":{"observed_at":"2026-08-07T13:49:26.838300Z","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":"2026-08-07T13:49:28.480008Z","title":null,"venue":null,"work_id":"9888dc9c-5597-4d0a-99a9-d39886c278bb","year":2025},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.914815Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:a83527fe89eb0f545e66aa578ed9ebc9225c752d5bddaa6d07ae83655e1d7be4","observation_id":"6f00be52-9a85-4282-820a-b9d168af6878","resolution":{"observed_at":"2026-08-07T13:49:28.555866Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06085","last_updated":"2016-03-01T22:13:44Z","snapshot_observed_at":"2026-08-02T12:08:14.299061Z","submitted_at":"2015-11-19T07:50:46Z","title":"Variable Rate Image Compression with Recurrent Neural Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06085","snapshot_observed_at":"2026-08-07T13:49:26.992760Z","title":"arXiv preprint arXiv:1511.06085 (2015) 3","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:26.992760Z"},"links":{"cited_paper":"/paper/1511.06085","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:e0ed0829ab8434575b8b31267b20d66559581244141c33911df1e8808e69e05a","observation_id":"6bbfa44d-c1d1-44a7-9e7d-f1e44735e591","resolution":{"observed_at":"2026-08-07T13:49:26.992760Z","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":"2026-08-07T13:49:28.359266Z","title":"In: CVPR (2020) 7","venue":null,"work_id":"b2c14c20-e156-4f42-9199-9b4f0723dcdc","year":2020},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:27.064177Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:ac5a7645e339d1edf337fa01a3b94466b1d69a2c880dc36aa4267e4d4316d0e7","observation_id":"e8a0d405-669f-4caf-9ee2-1b8546e6e5a1","resolution":{"observed_at":"2026-08-07T13:49:28.411485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:28.223737Z","title":"Advances in neural information processing systems 31 (2018) 1","venue":null,"work_id":"e4851c9d-c36f-45a1-bced-95ce09d405e8","year":2018},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:27.121209Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:d42b94005350bdcecb75b299d74d49eccbd7c9eedfdf472ddf8211880e698e90","observation_id":"c300788b-f087-45ff-a990-1ad478eab626","resolution":{"observed_at":"2026-08-07T13:49:28.292516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05071","last_updated":"2023-02-10T06:02:29Z","snapshot_observed_at":"2026-07-06T14:50:22.840631Z","submitted_at":"2023-02-10T06:02:29Z","title":"EVC: Towards Real-Time Neural Image Compression with Mask Decay","version":1},"cited_work":{"arxiv_id":"2302.05071","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.05071","snapshot_observed_at":"2026-08-07T13:49:27.522265Z","title":"EVC: Towards Real-Time Neural Image Compression with Mask Decay","venue":"eess.IV","work_id":"5b615215-15b9-4694-9733-8569ef52f157","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:27.178899Z"},"links":{"cited_paper":"/paper/2302.05071","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:b734a602131899def9a546a8eba5b1687b68ea820c9d2c92afbcab42ea0c16aa","observation_id":"e6101daf-661e-48c8-85c8-b49f5f2c1c7b","resolution":{"observed_at":"2026-08-07T13:49:27.583630Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:28.067855Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"6a941d77-2e45-429d-9125-fe30519f5b9f","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:27.260077Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:3ce144e7162c7d1273658212e899b61365384a406c0b10fea1bbf45f9d85e926","observation_id":"e517b2a8-f337-4529-832b-0182e15357ea","resolution":{"observed_at":"2026-08-07T13:49:28.146848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:27.902715Z","title":"Advances in Neural Information Processing Systems 36, 64971–64995 (2023) 1, 4, 8, 9, 13","venue":null,"work_id":"6d603c5f-831c-471e-8826-752b98d2056f","year":2023},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:27.343997Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:32b7daa23f2bf1f7ebf3f1f3993ca45aff006510e1066e8e79ab8afa46a64664","observation_id":"e8852c49-c11d-48b5-a93c-42321f4d398b","resolution":{"observed_at":"2026-08-07T13:49:28.003126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T13:49:27.739420Z","title":"method [bpp]","venue":null,"work_id":"9caa5c5b-506e-44ac-a940-888c3b1d7a08","year":2018},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:27.427031Z"},"links":{"citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:fd73a81253a7edb654c163300654c2b4a08c1746a59a564fcf3b449ee7fe65f6","observation_id":"2005fe63-3d20-4ce7-8e79-6cd9fd514ddb","resolution":{"observed_at":"2026-08-07T13:49:27.815406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":48},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.20984."}