{"as_of":"2026-08-10T01:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3d77829ddc91c1a695c08fb413ebbd906fb8b755f33949682381592db0b502e","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T09:55:08.186739Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.28745/citation-record","integrity":"/paper/2606.28745/integrity","json":"/paper/2606.28745/citation-record.json","paper":"/paper/2606.28745"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.799696Z","title":"In: International Conference on Artificial Intelligence and Statis- tics","venue":null,"work_id":"aa734b0f-53c3-42c5-b818-b1144939e142","year":2020},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:77e16241b816830d715e0a0019189e66d5042b711fd053fe81c072f9bbf0a0dd","observation_id":"1b33f544-4f5f-4ece-b9f7-f35bd5101ac2","resolution":{"observed_at":"2026-07-09T16:16:20.801140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.801709Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"1609fe20-9d4f-4071-9905-ff97fb04c468","year":2022},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:0b23049fe9fdaade8dc7c116455597d9af7aa7a6ff5d9f1b1c2409aaddf7e11a","observation_id":"4c26e0c7-e065-4b76-acee-e08986ff38f2","resolution":{"observed_at":"2026-07-09T16:16:20.803166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:26:26.694324Z","title":"In: European conference on computer vision","venue":null,"work_id":"8135e821-e19a-46d2-ae4c-9cb1d13d68fa","year":2024},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:dd2ed344f3b0239ac37505596b04454bdcb3fcbe17fc5ea5211e0c3ed1eb8423","observation_id":"bbab3679-e5e9-4411-93fc-dbc8ad8ce435","resolution":{"observed_at":"2026-07-09T16:16:20.804990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.797768Z","title":"Advances in neural information processing systems30(2017)","venue":null,"work_id":"9fcb2994-3d3b-438c-8ca4-da1cefd46c95","year":2017},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:4302f6c9958ce59fb7c627ba4a98e5963a1619cee15aac918de88f288c05d278","observation_id":"3d54bf87-85ab-4d54-ba00-fa6d0b15479f","resolution":{"observed_at":"2026-07-09T16:16:20.799132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2103.09762","last_updated":"2021-03-17T16:31:29Z","snapshot_observed_at":"2026-08-07T22:26:17.816043Z","submitted_at":"2021-03-17T16:31:29Z","title":"Gradient Projection Memory for Continual Learning","version":1},"cited_work":{"arxiv_id":"2103.09762","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.09762","snapshot_observed_at":"2026-07-04T06:19:38.018427Z","title":"arXiv preprint arXiv:2103.09762 , year=","venue":null,"work_id":"c153a61d-0cc6-4da4-b9a8-ebb88319bd68","year":2021},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"cited_paper":"/paper/2103.09762","citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:bcc6a23ba89eb106b3551e5c3c02a5cfbdc6dbeb3436f7c0a1be93e090780d11","observation_id":"69114548-ce4d-4f3f-938e-de5ae802fad4","resolution":{"observed_at":"2026-06-30T12:54:40.500829Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.789610Z","title":null,"venue":null,"work_id":"94dca705-b0e6-414a-9c6a-982c77ec48da","year":2025},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:7db03b671dc9183549b97bb1712dc1cd87236b0b25a23d266bafc5f965e4388e","observation_id":"250de0f4-e975-4e3c-944c-933d4079f5ad","resolution":{"observed_at":"2026-07-09T16:16:20.791310Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.792058Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"fcbd30e6-9009-4743-b987-15502df08e73","year":2021},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:454bf24931da2e9fc2cc5b261841f7707fe5aeca69048259b0b9e767d20fa25d","observation_id":"a50bc9ed-a712-4150-9fa4-3e14ef7fe685","resolution":{"observed_at":"2026-07-09T16:16:20.793604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.794150Z","title":"In: Proceedings of the IEEE/CVF in- ternational conference on computer vision","venue":null,"work_id":"f6ba1acf-5585-4863-8325-a1454e25bc6b","year":1905},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:6fe0eb0d4e80be2a3b21126b02d300267d5c6b1e42c25361ca4383f6bb29223e","observation_id":"8eee74de-fc7a-4b6a-99f3-e84fa73e9fff","resolution":{"observed_at":"2026-07-09T16:16:20.795389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:26:26.636794Z","title":"Advances in Neural Information Processing Systems 37, 92529–92553 (2024)","venue":null,"work_id":"999a15c4-35ac-42af-846f-3a0956569df8","year":2024},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:daa5fdd83d64cfc9b8217cbdbc043de5c88a165a85e1c0fbc158aa17c376ee34","observation_id":"c0f3410e-6400-455c-8f42-7fee1d608ce0","resolution":{"observed_at":"2026-07-09T16:16:20.797216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.793088Z","title":"In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition","venue":null,"work_id":"bc00215d-b4cf-459c-8c70-b2f7d2b06597","year":2024},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:75de65d5f2cd4815b2a3db1266ef17f299867c0c3d78745a45aeb4df8ae7843c","observation_id":"12876698-0db3-47fd-bde5-6553584e429c","resolution":{"observed_at":"2026-07-09T16:16:20.794458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.803003Z","title":"In: European conference on computer vision","venue":null,"work_id":"896be5ee-1a22-4009-a85a-cfe8fd945b27","year":2024},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:7a37935a640363892618a3b183778bc1e6c0aa7ddd974563e792c347fbe59da1","observation_id":"3ba924ab-f639-4786-92ab-5a1d1573834d","resolution":{"observed_at":"2026-07-09T16:16:20.804249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.804845Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"781c3bf7-5178-4855-9f63-4ba7cf708bb5","year":2024},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:88b0711b23acd4c5308406d5679c00463788d73df62d8f1cbfcf0057e951f52f","observation_id":"bbb7e59b-f728-49fe-8812-dac6fa9f6d62","resolution":{"observed_at":"2026-07-09T16:16:20.805982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.808575Z","title":"Nature Machine Intelligence1(8), 364–372 (2019)","venue":null,"work_id":"537e8762-5209-4ce8-a192-89390f785e37","year":2019},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:e8fc3891e5c477261d910dce2e1773e8f72c974e39f39afd987cb7568b294819","observation_id":"e2f7bf78-75e9-4f94-85f5-18f6aab20d27","resolution":{"observed_at":"2026-07-09T16:16:20.809892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:20.806736Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"a59e5c34-14e3-451f-a626-cfe8b9325686","year":2021},"citing_paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:08.186739Z"},"links":{"citing_paper":"/paper/2606.28745"},"observation_digest":"sha256:251da08f9981ed38486d5a0d79531de5f3df8daf1c6cc526b50917acdcd440fb","observation_id":"86c080df-aec6-4ede-b4c6-7e61e5cba864","resolution":{"observed_at":"2026-07-09T16:16:20.807970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2606.28745","last_updated":"2026-06-27T05:51:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T21:49:43.374107Z","submitted_at":"2026-06-27T05:51:23Z","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":14},"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 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.28745."}