{"as_of":"2026-07-29T09:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f9585c2f41671bc06c2bb1f525b8ed0499f017ab919688189102691bf7dc50c","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T18:15:14.469781Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-29T08:13:00.99439+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.02794/citation-record","integrity":"/paper/2605.02794/integrity","json":"/paper/2605.02794/citation-record.json","paper":"/paper/2605.02794"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"020025f3-4c28-412b-92a4-ddc2c0f8a58c","year":2018},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:8932d83f87c620c5fa3b5e8a401340d28d2f080782dde9d17297a81efaaf4cf4","observation_id":"ab9a1234-ec9d-44ee-b580-7ae7b501f909","resolution":{"observed_at":"2026-05-26T05:27:23.411046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Com- puterVision–ECCV2020:16thEuropeanConference,Glasgow,UK,August23–28, 2020, Proceedings, Part X 16","venue":null,"work_id":"df0fde09-6166-4480-a447-b2f184b0e93f","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:8943e53a7d6ed79713f5080c6ea7e8ed6d0408600b917faec306c74b13e6dcb6","observation_id":"ba469d96-8cd5-4c1e-9619-76e25b081cb3","resolution":{"observed_at":"2026-05-26T05:27:23.414336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"b17d71dd-1411-419a-aaae-b100cb8fe89b","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:d0822aa1782d03cc35e34d6d7e6f5cd8460dd0a2ffa315cb752d6ec5746df003","observation_id":"f0aaf5a0-435e-442d-bd2a-33fb079a241a","resolution":{"observed_at":"2026-05-26T05:27:23.421680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.05150","last_updated":"2020-12-02T17:52:35Z","snapshot_observed_at":"2026-07-06T09:11:34.079144Z","submitted_at":"2020-04-10T17:54:09Z","title":"Longformer: The Long-Document Transformer","version":2},"cited_work":{"arxiv_id":"2004.05150","doi":"10.48550/arxiv.2004.05150","metadata_source":"pith","pith_arxiv_id":"2004.05150","snapshot_observed_at":"2026-07-11T03:27:46.681766Z","title":"Longformer: The Long-Document Transformer","venue":"cs.CL","work_id":"abea7a44-6668-4de7-aab6-f53a6e5aa088","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2004.05150","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:fdaf83a80ae13d792007df2e407e80830083644b7f82fb1f9af1f9ef6ec6dd0d","observation_id":"de499055-f9c1-49e5-9abf-33d178e312c2","resolution":{"observed_at":"2026-05-10T13:29:59.004618Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-12T21:49:59.161233+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T21:49:59.161233+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: CVPR (2021)","venue":null,"work_id":"cf367d3c-f04a-4ab0-90d3-eaf27735f27f","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:9070384606d97a3e82a1e27200cc7a7e1fa89832d6b9bf21df580175522ef30c","observation_id":"40bd664e-75b4-44f7-83fb-19bddf6ca549","resolution":{"observed_at":"2026-05-26T05:27:23.386782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15648","last_updated":"2024-10-15T02:45:02Z","snapshot_observed_at":"2026-07-06T17:34:49.001670Z","submitted_at":"2024-02-23T23:15:54Z","title":"MambaIR: A Simple Baseline for Image Restoration with State-Space Model","version":3},"cited_work":{"arxiv_id":"2402.15648","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.15648","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.15648 (2024)","venue":null,"work_id":"a9fc3e45-8765-403e-8d03-99560638577f","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2402.15648","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:08ec4e23a8f07a7ae49b132620350fc9d78cd6bcc13a3a1baffddf5f96381bb0","observation_id":"11a29196-b730-4d06-be32-d4defc5ed8a7","resolution":{"observed_at":"2026-05-09T06:40:40.213750Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: ECCV (2022)","venue":null,"work_id":"0898cc0a-166d-4d4a-88f9-c4aff346e79f","year":2022},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:6407509b84812b1fa09ae24a5de5797d91b9eb58dc5f38a7f6602c06b7d5127b","observation_id":"f88a7195-1b51-4bd5-a4c8-90c1d4f2ae8e","resolution":{"observed_at":"2026-05-26T05:27:23.394468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11778","last_updated":"2024-04-17T22:02:22Z","snapshot_observed_at":"2026-07-06T18:01:53.720064Z","submitted_at":"2024-04-17T22:02:22Z","title":"CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration","version":1},"cited_work":{"arxiv_id":"2404.11778","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11778","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.11778 (2024)","venue":null,"work_id":"bb4c9237-0799-4c8f-8dbf-d65116b8fce8","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2404.11778","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:046ace600ff1af4acdf26786056c833babddadfc57a848a15eb7a68b394929a5","observation_id":"dcd767c4-ddb7-4eb7-bc23-3c487c8f6a13","resolution":{"observed_at":"2026-05-09T06:40:40.177077Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: CVPR (2023)","venue":null,"work_id":"3f13e33a-b966-4add-8439-ea18021e4b10","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:8c8fb3c1d9b4c20694893744d3e3f3c34d33ec41e3562e9d1b819138a436e8b3","observation_id":"f0beed20-1e20-4183-a456-09b19792c16d","resolution":{"observed_at":"2026-05-26T05:27:23.380382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"53170768-6866-4459-92b1-d72d7bdf7427","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:bbfa543b8bce39dc2195a75d6807f4460f1a56467b2289b0771468fe801e8490","observation_id":"8e1143a2-73d1-4590-8797-19f2871574d8","resolution":{"observed_at":"2026-05-26T05:27:23.383706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"cdb2f0f0-e47c-42ca-8c7b-16a0bd3ebf87","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:cd8fc57f6dbd2516ecc7ce8f79016175b1ba857a76d4ee476e062a8d56769c81","observation_id":"196f9cb3-b382-43fb-b049-94f78577d7ec","resolution":{"observed_at":"2026-05-26T05:27:23.391013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: ICLR (2021)","venue":null,"work_id":"266560db-d927-4f6f-b5ea-ee8b728bc8f7","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:7dd63f2401dea96b24836ede4eb3e893eb8f96cb5025e8ce82d6e28d8038a0eb","observation_id":"b90a0d8d-0436-4602-b41a-1228e428bd59","resolution":{"observed_at":"2026-05-26T05:27:23.403946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":"2404.14219","doi":"10.48550/arxiv.2404.14219","metadata_source":"pith","pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-07-10T13:57:06.708632Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","venue":"cs.CL","work_id":"feef9556-a016-493c-abd2-0c97a23a7ebf","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:8116166af030a17999dc16ffe4962b5c568eae73538956ba1f4499cde260ff38","observation_id":"00403129-2316-4094-9f54-d4e53b9050cc","resolution":{"observed_at":"2026-05-10T20:19:27.408543Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: CVPR (2022)","venue":null,"work_id":"6f8461b2-b0cf-47b0-b30e-10f11e781cd5","year":2022},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:932b4ce3e2033ee205e5d502580150c7b0c5cb0bad89c8106616bc839f83414a","observation_id":"fa198bdd-57dd-47b2-9aeb-91b7e20f6d31","resolution":{"observed_at":"2026-05-26T05:27:23.400701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICLR (2021)","venue":null,"work_id":"d5ad906d-3a7c-49b3-bf37-a987ca9f460f","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:75d3261da6cf650139354a2d25d8d0e102c8044d8fbae1896e89d9df48145125","observation_id":"aaf51c32-37a5-4039-a530-419012c9821a","resolution":{"observed_at":"2026-05-26T05:27:23.444764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"IEEE Transactions on Image Processing 26(6), 2944–2956 (2017)","venue":null,"work_id":"dad7dbd7-3bda-4c15-9646-a918f03da109","year":2017},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:165e6bdf929e847098eb9a33fb9afcb772bec8d41c9757595fc4f0db10787c50","observation_id":"de06dcdb-9311-465b-9fc1-008431dd9daf","resolution":{"observed_at":"2026-05-26T05:27:23.437058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.17143","last_updated":"2023-12-28T17:22:20Z","snapshot_observed_at":"2026-07-06T17:09:19.909685Z","submitted_at":"2023-12-28T17:22:20Z","title":"Coexistence of Dirac fermion and charge density wave in square-net-based semimetal LaAuSb2","version":1},"cited_work":{"arxiv_id":"2312.17143","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.17143","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2312.17143 (2023)","venue":null,"work_id":"cc8e1e50-b843-442e-a2e9-d492d1b738e6","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2312.17143","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:2e4b65f68d020dca5a9044cd5ce8798ff0d711cc7dfc8ff04aa69499957ad300","observation_id":"8cd9b7bd-a672-474e-ab10-11ad3e4ca48e","resolution":{"observed_at":"2026-05-09T06:40:40.232950Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":"2312.00752","doi":"10.48550/arxiv.2312.00752","metadata_source":"pith","pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-07-10T20:07:33.480124Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","venue":"cs.LG","work_id":"4ee75248-1199-492c-a52f-6661e0f4adff","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:43d3f2073392f1420fcba437773a1dc42100b60e190170fb25c649c99de69877","observation_id":"651c3992-d118-4b22-8343-df25a82ed920","resolution":{"observed_at":"2026-05-09T06:40:40.226675Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-05-30T19:25:31.081761+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-30T19:25:31.081761+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"610b5df1-53ab-4957-bc9f-6abfb03f9f56","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:ac0c91c23dc2a56849884dfe63bd6050327bf32fcc29208fbbab466a5195922f","observation_id":"717109e5-ac97-4e1f-85b2-a91c23b05738","resolution":{"observed_at":"2026-05-26T05:27:23.306216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tip.2024.3367824","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T12:15:00.875560Z","title":"IEEE Transactions on Image Processing (2024), dOI:10.1109/TIP.2024.3367824 16 S","venue":null,"work_id":"41e2e17f-cc67-4ea8-8d79-5370d7bf328d","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:56755f271c2fa6f3ae52d25d94a346ad8638de3c605483c14b8b9dd679505332","observation_id":"3a60fdf0-e7ef-408d-a00f-b71bf2efdb9f","resolution":{"observed_at":"2026-05-08T19:44:07.367633Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"7a35a535-cd53-4970-bc06-7b1a51cbca83","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:f35abb405e267e9648588bb9c253b36e6ae9edb2483583f440abf2a63335dd1d","observation_id":"f3b8b04b-c158-4c23-9d73-3ac06afc158c","resolution":{"observed_at":"2026-05-26T05:27:23.310080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10123","last_updated":"2024-06-29T23:01:10Z","snapshot_observed_at":"2026-07-06T17:45:07.023305Z","submitted_at":"2024-03-15T09:14:18Z","title":"Regularization-Based Efficient Continual Learning in Deep State-Space Models","version":2},"cited_work":{"arxiv_id":"2403.10123","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.10123","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2403.10123 (2024)","venue":null,"work_id":"8a1b216b-167b-4874-a1a0-4b9867381477","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2403.10123","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:14552a4043b2d909df86a7c53026d3211bc12d093b5506e6109467df08d5e983","observation_id":"c2de3566-9ca6-42ad-ba3b-5568234b91db","resolution":{"observed_at":"2026-05-09T06:40:40.230135Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13353","last_updated":"2025-03-09T22:07:50Z","snapshot_observed_at":"2026-07-06T20:24:44.865798Z","submitted_at":"2025-01-23T03:34:14Z","title":"Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision","version":2},"cited_work":{"arxiv_id":"2501.13353","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.13353","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2501.13353 (2024)","venue":null,"work_id":"daf506bd-3803-4adb-8331-72b501145b4d","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2501.13353","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:4df5982c1113e4a6539ed8b8ab22f223320aeefb914a5b9456e1da0c55d1d066","observation_id":"a4f76e55-dc76-4eea-a431-a49c0947f46d","resolution":{"observed_at":"2026-05-09T06:40:40.259617Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"IEEE Transactions on Image Processing27(3), 1126–1137 (2017)","venue":null,"work_id":"aa8efbc3-6def-41ef-9828-c203c4d03b8c","year":2017},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:0ea80784258ea6fb6457d417de64c6e79f861de4ebe8860cd3ae9d8df03bdcf6","observation_id":"0e9c7c59-cb81-42d5-8304-f5c15c819de7","resolution":{"observed_at":"2026-05-26T05:27:23.302919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"8b250543-f5ab-4db0-bdb6-99de2503c83d","year":2018},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:2d8759305eccb87b0c2111bdf28e855e381f9c589e7ca57f45e31fbbea45c381","observation_id":"8ebd2cc7-74be-457a-ad67-f371a5e17a38","resolution":{"observed_at":"2026-05-26T05:27:23.299590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"a5461f42-2778-49ad-9e6a-89131442b017","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:76da7a746099fb6aa947fa20afae3636c17d30f0bc36a8112bde545a9c29f1cb","observation_id":"aeab81f8-45a0-40a7-b755-62bc26d5d581","resolution":{"observed_at":"2026-05-26T05:27:23.266005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"992c7700-c6c8-4785-80aa-48b136ad21bf","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:3b73854bff4fea72f33148c8a9745c38fc55e2a38c4516b5971d041354df42b5","observation_id":"7d8ae0dd-bc3e-453b-9675-ffc053d9bc8e","resolution":{"observed_at":"2026-05-26T05:27:23.280792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"71526a35-a73a-4b79-ab1d-d69f2c9b25bb","year":2034},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:4d01fdcdc106ef7654ff6454cb7ff22c0edf1174f72161439a1f67c2fe6a63a1","observation_id":"9a481f79-5ce6-4108-abbc-faa25305dab9","resolution":{"observed_at":"2026-05-26T05:27:23.288976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00945","last_updated":"2023-07-07T01:12:42Z","snapshot_observed_at":"2026-07-06T14:36:57.323236Z","submitted_at":"2023-01-03T04:17:39Z","title":"On Euclidean, Hermitian and symplectic quasi-cyclic complementary dual codes","version":4},"cited_work":{"arxiv_id":"2301.00945","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.00945","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2301.00945 (2023)","venue":null,"work_id":"bcf8d1e1-04aa-4dbc-891f-ffa2c9ad6efb","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2301.00945","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:d769d6318b2db10a07328cff5f60eccdcc4a27f2471b29bc187fe88db80412ce","observation_id":"6eb0b2ca-2119-47d3-acaa-1e6a1bedc7da","resolution":{"observed_at":"2026-05-09T06:40:40.162130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20066","last_updated":"2025-03-22T09:30:06Z","snapshot_observed_at":"2026-07-06T20:14:03.824268Z","submitted_at":"2024-12-28T07:40:39Z","title":"MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration","version":2},"cited_work":{"arxiv_id":"2412.20066","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20066","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2412.20066 (2024)","venue":null,"work_id":"894fce37-9611-4000-b6d6-f1811ab52345","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2412.20066","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:2b8d9fbf4a5dcf1f08af715c000510edd8c28dcb8219bbc5a1d1b4a4d7138d72","observation_id":"87a5b6a7-f2d3-4304-b3da-fb85f398ea61","resolution":{"observed_at":"2026-05-09T06:40:40.197955Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"875f56ad-157a-4057-b422-b2ae3c23aa66","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:0015285b786e13df2e72abdd2217f4fdec417069356c11cdb63905f9f0e7d2b2","observation_id":"a5974c09-8126-445e-bdbe-1da255528ad6","resolution":{"observed_at":"2026-05-26T05:27:23.269630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the European conference on computer vision (ECCV)","venue":null,"work_id":"a3e377c8-7351-4d32-87a1-090499800140","year":2018},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:7edae3e6e7e565b7168a387a4a5417424ef040b36ee50d654b5268e019ce9cff","observation_id":"0b754e9b-8972-40c7-9bde-6f82f2b76f18","resolution":{"observed_at":"2026-05-26T05:27:23.295936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11423","last_updated":"2024-03-18T02:38:55Z","snapshot_observed_at":"2026-07-06T17:46:04.063798Z","submitted_at":"2024-03-18T02:38:55Z","title":"VmambaIR: Visual State Space Model for Image Restoration","version":1},"cited_work":{"arxiv_id":"2403.11423","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.11423","snapshot_observed_at":"2026-07-04T09:49:44.616002Z","title":"Vmambair: Visual state space model for image restoration","venue":null,"work_id":"7d942126-03fc-49a1-b9ef-bcc39976ac6d","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2403.11423","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:7dd6cdbd0f5a6d3e9bdf22f84e2148d2bdb6c089dcc7d2341b6806ee3b35f18f","observation_id":"13769934-b195-4b6a-830e-a2303991589b","resolution":{"observed_at":"2026-05-09T06:40:40.282707Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: ICCVW (2021)","venue":null,"work_id":"4f465de4-834b-4577-b752-688662c96ce9","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:133a85dadf45c6b517d0e468d74e4b559730a8d0441267759b64eab1ec046b73","observation_id":"8e56cb1f-b14b-4611-87d7-aa062e88e0fa","resolution":{"observed_at":"2026-05-26T05:27:23.432072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06578","last_updated":"2025-06-06T09:22:25Z","snapshot_observed_at":"2026-07-06T17:42:29.208344Z","submitted_at":"2024-03-11T10:26:55Z","title":"Limiting absorption principle for long-range perturbation in the discrete triangular lattice setting","version":4},"cited_work":{"arxiv_id":"2403.06578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06578","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2403.06578 (2024)","venue":null,"work_id":"e4dc6967-7f2a-4a27-b088-36c240df8c6d","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2403.06578","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:5c8df2ae4916075005cc209898135ba452df9eab477f913df0a6a34ad3d9c630","observation_id":"8791ab72-62f5-4df2-9ff5-8d304e25d9c6","resolution":{"observed_at":"2026-05-09T06:40:40.207171Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neurocom- puting p","venue":null,"work_id":"a4b2c8af-aa06-4d0a-9c58-25d6aa3892e8","year":2025},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:3c0532d9afd3ce3ac320e3ecbaa8fbbc18da54bba193c97994ca1ce2c47f62cc","observation_id":"378becbe-54d9-4acb-a369-f8a9867190c8","resolution":{"observed_at":"2026-05-26T05:27:23.259258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16583","last_updated":"2024-01-29T21:34:29Z","snapshot_observed_at":"2026-07-06T17:22:07.248095Z","submitted_at":"2024-01-29T21:34:29Z","title":"Data-Oblivious ML Accelerators using Hardware Security Extensions","version":1},"cited_work":{"arxiv_id":"2401.16583","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.16583","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2401.16583 (2024)","venue":null,"work_id":"ed3eb6b7-7053-4ef0-a6f2-bce0b200197a","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2401.16583","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:43afe13d00360b1aa46d08e0f2497023fc0b55d68dadd7e9280341a4f532a310","observation_id":"0a83cc81-8ad9-4121-908e-42799a9d2e30","resolution":{"observed_at":"2026-05-09T06:40:40.249365Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: ICCV (2021)","venue":null,"work_id":"ea14a4b7-118f-40e4-83dc-236fe49e085d","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:4be74b7cfeef8db73cc3806e8b8d27ea9301c72ac639d13ab7fead48c4d4cd5d","observation_id":"2f70dc08-2874-48dd-b0e6-0c6aaf9e4514","resolution":{"observed_at":"2026-05-26T05:27:23.284029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: CVPR (2023)","venue":null,"work_id":"46e6d808-2a64-480e-8683-567e44f5074e","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:57340fb6988023a203c99a9ec34acadc5d857d0108ec596e45ef52c7efe0e72f","observation_id":"5d29bd16-493b-4ca9-b237-d8a9eedf9480","resolution":{"observed_at":"2026-05-26T05:27:23.313855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: NeurIPS (2016) Title Suppressed Due to Excessive Length 17","venue":null,"work_id":"493a9d0c-6a00-4fbc-9a63-50fa8f15ae61","year":2016},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:0500e8e6e9a55a9e2ddd9a4c20d60da2b71e95a872a4766b665610accba80b4d","observation_id":"07b606e0-9060-4e69-81af-3af07670473c","resolution":{"observed_at":"2026-05-26T05:27:23.273630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.11699","last_updated":"2023-05-31T12:41:58Z","snapshot_observed_at":"2026-07-06T14:45:15.791471Z","submitted_at":"2023-01-27T13:20:48Z","title":"Image Restoration with Mean-Reverting Stochastic Differential Equations","version":3},"cited_work":{"arxiv_id":"2301.11699","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.11699","snapshot_observed_at":"2026-07-04T00:09:15.051624Z","title":"Image restoration with mean-reverting stochastic differential equations","venue":null,"work_id":"9b747a08-2e7f-4209-8110-4b1dd7dc5b66","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2301.11699","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:a41ad96a44ed702f1cd9e7f336ef60fbd463e80fc767f4f68e2e929180e63454","observation_id":"2dc1ec10-bfba-4f99-9f86-e4897e4e1c4b","resolution":{"observed_at":"2026-05-09T06:40:40.217410Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"c40f6658-6b62-44da-b505-d51374a2d5c2","year":2017},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:c0600e2298b2014af52b7cbcb08ef5747ac55a935ce6049832b004284d7ef123","observation_id":"35a5cda7-691a-42f1-94c2-7255ef397d87","resolution":{"observed_at":"2026-05-26T05:27:23.262569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: European conference on computer vision","venue":null,"work_id":"918fd6f4-b692-47a7-8cff-805f03a98f03","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:535da595ac44a12487cb76c587f8df49788880838c2ec6c766d20f30d4665252","observation_id":"413f6ad0-6083-479d-a605-3c12133549e4","resolution":{"observed_at":"2026-05-26T05:27:23.292498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"d57b09c0-c76b-4bce-956d-f5fe07e713b8","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:ae0ab515c3c3411af1c705e14cfdd8c17bc79b998719d6d58cd86f4e07683d6b","observation_id":"2537b086-7c77-4229-82f7-9b0c73e16137","resolution":{"observed_at":"2026-05-26T05:27:23.322757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"97950308-11fb-4b3c-add4-f72d6a4057df","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:704827b7503751fb23e0abd903c7cb801f13853fc1f5d9914cf002255c3d722a","observation_id":"46d3e7d9-27a9-4dab-992d-cd8e427c3434","resolution":{"observed_at":"2026-05-26T05:27:23.277299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"cfe02a49-83c3-4cb0-bbb1-ce2606156238","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:335c7d876d8e1c4207966f25595a6844d62fdc904439486ef868546651088c88","observation_id":"4dd06f37-c896-45a7-ae11-4feef257d048","resolution":{"observed_at":"2026-05-26T05:27:23.317826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Computer vision–ECCV 2020: 16th European conference, glasgow, UK, August 23–28, 2020, proceedings, part XXV 16","venue":null,"work_id":"b69e9f6e-e489-43d5-9125-b5e6d8ead014","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:52a83a466ef0c2815952a22a222512369f5e45269653eb98e2cb319b3445ae4b","observation_id":"e558eae4-72e8-4bd7-a05e-c53e2e76dc5c","resolution":{"observed_at":"2026-05-26T05:27:23.440873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"11718b6f-c05f-48f2-9566-692c32f85fd0","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:0334a9f93669a9bbfefb3bfbbb6a0a0608ed573865c8f071c17706654dd1dd4b","observation_id":"b6508d79-a724-49f8-b933-0fdbcb625a44","resolution":{"observed_at":"2026-05-26T05:27:23.407200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"89bfd9c8-15af-402f-9c80-c14221087b26","year":2015},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:eff2c2adb815f03a21bea2573d4fdef0f02fbc4caa9fce19cadff49449d91214","observation_id":"464e28eb-ec73-4ae6-8fd1-97a49967cdca","resolution":{"observed_at":"2026-05-26T05:27:23.373148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: NeurIPS (2012)","venue":null,"work_id":"0475636d-0cb3-4f4e-a227-a777a3dc38b9","year":2012},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:1d9808e1badd445b5c57c2172042f9a26a7a416fde471228ae66542f2c0d8e4e","observation_id":"cc38494c-6dd9-43b4-977a-664228e8f889","resolution":{"observed_at":"2026-05-26T05:27:23.362212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision","venue":null,"work_id":"b154157e-3a99-493b-87ce-92d02be7010d","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:e28b90d0cf3d6a7067605f5a354249001e18d616422146a2c2aaa5568a3e9e4c","observation_id":"f40184ca-7622-4ab2-bfaa-298713d0d757","resolution":{"observed_at":"2026-05-26T05:27:23.366378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16583","last_updated":"2025-06-11T04:43:40Z","snapshot_observed_at":"2026-07-06T20:27:04.664873Z","submitted_at":"2025-01-27T23:53:49Z","title":"Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration","version":2},"cited_work":{"arxiv_id":"2501.16583","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.16583","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Directing mamba to complex textures: An effi- cient texture-aware state space model for image restoration","venue":null,"work_id":"91ff8600-714c-4632-9746-34d85f34e8ab","year":2025},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2501.16583","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:9e8cf4fa3423e8a13bdd5418c66ac30bb5648f9f1f3adb4cfcdd86adae2cc285","observation_id":"d82a8b57-cd00-494a-be80-d0ca60341956","resolution":{"observed_at":"2026-05-09T06:40:40.185708Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04523","last_updated":"2024-02-07T02:06:48Z","snapshot_observed_at":"2026-07-06T17:26:35.513723Z","submitted_at":"2024-02-07T02:06:48Z","title":"SumRec: A Framework for Recommendation using Open-Domain Dialogue","version":1},"cited_work":{"arxiv_id":"2402.04523","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04523","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.04523 (2024)","venue":null,"work_id":"b917dc77-f6e5-4bb8-9e0d-d6a960886338","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2402.04523","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:fb2182dcc7d09f2bf7c2972ee027c29d3a516675b5660af9553757af67cf3d25","observation_id":"07a1da68-9f6f-4073-afa5-fb435070e65f","resolution":{"observed_at":"2026-05-09T06:40:40.182269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"cf3b92dd-ada9-4aa8-a6ea-4a32995e382d","year":2018},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:86d3f2d7d52a67889b77b79c5218c307718841231a7a668bdeabc0e8f6ece365","observation_id":"22ebbd25-161c-4c3a-a878-9dfd358f0d9b","resolution":{"observed_at":"2026-05-26T05:27:23.369885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"NeurIPS (2017)","venue":null,"work_id":"0809182b-b03f-4e75-8d4b-10b42eb1a882","year":2017},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:d0c3a714d6af15877bae53c7364529a080e29a0c96c8d715a4c194d41bb57581","observation_id":"7d0ee8ea-cd46-4eb0-a9d5-89a60dff64b4","resolution":{"observed_at":"2026-05-26T05:27:23.358644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: CVPR (2022)","venue":null,"work_id":"4945cb64-13c5-4aff-844c-9a4387911b94","year":2022},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:3d7e69d4f560b6bece94abec92fd878ae47eff9030c57b0a7873b0b1207fe827","observation_id":"6b98f002-6009-4d3b-8a06-e3443e62db79","resolution":{"observed_at":"2026-05-26T05:27:23.350080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: NeurIPS (2020)","venue":null,"work_id":"a97ec80c-23ee-4d9f-b9e7-2fdec9d17120","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:1395f5a3235b3ac23edaf0df213e9b2f3549c09eb6212b021be9e43b346a601e","observation_id":"49a938a2-8b24-43f7-a9e9-5e5763854f85","resolution":{"observed_at":"2026-05-26T05:27:23.448498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18401","last_updated":"2025-01-31T02:56:31Z","snapshot_observed_at":"2026-07-06T20:28:28.903246Z","submitted_at":"2025-01-30T14:55:40Z","title":"MatIR: A Hybrid Mamba-Transformer Image Restoration Model","version":2},"cited_work":{"arxiv_id":"2501.18401","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18401","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2501.18401 (2024) 18 S","venue":null,"work_id":"cc76f5cc-8e51-4aa9-9c7a-a4a0330a195b","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2501.18401","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:ce1a0444c2673afa2b999cd57fe743586e15d6b733de9b599c3907cf7cbd2a32","observation_id":"197898b0-0c1f-4758-924d-99233ef59866","resolution":{"observed_at":"2026-05-09T06:40:40.210187Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"3a4b847a-55d9-476e-8654-7db483a817bc","year":2013},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:2f2cf3d670dcf776e31f0fc16fe23fa9232c9aa612fd77bc9aa00b8bb7dd40f9","observation_id":"55cae896-9425-42c1-a6e3-8b7b33da3e5b","resolution":{"observed_at":"2026-05-26T05:27:23.340834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"0ea3cf5a-8c28-47a5-98d1-6d4206ed21d0","year":2017},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:a655e0a8361868d3478af4ff5b3721afa9bcb8ad0eee944e5c84454ac44733b0","observation_id":"44adab90-bd4e-4d12-a504-58c24b93daa3","resolution":{"observed_at":"2026-05-26T05:27:23.345229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"f2791b04-c8e0-4689-89b6-58b4e8bbb8d8","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:8b8290202d247baab885247807da78a0f80cbb5cdb2394fe4a225bd7ff543c08","observation_id":"93ecfd4e-82c2-4f01-bccc-8783e7c8c7ec","resolution":{"observed_at":"2026-05-26T05:27:23.355135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07992","last_updated":"2024-05-20T16:36:21Z","snapshot_observed_at":"2026-07-06T18:13:42.288757Z","submitted_at":"2024-05-13T17:59:56Z","title":"MambaOut: Do We Really Need Mamba for Vision?","version":3},"cited_work":{"arxiv_id":"2405.07992","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.07992","snapshot_observed_at":"2026-06-28T19:32:35.269755Z","title":"Mambaout: Do we really need mamba for vision?","venue":null,"work_id":"cbf63d57-510f-4f66-aad8-aa9c21b685fd","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2405.07992","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:ae6b8712e3f856a0e1215e64188b10367d6e4dcf06570bcefec28a3d6a2ecaa8","observation_id":"89683f0b-acd2-4f99-8517-684754b91802","resolution":{"observed_at":"2026-05-09T06:40:40.268500Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: NeurIPS (2020)","venue":null,"work_id":"fb409216-9ddd-46e3-8975-7f37e45b3460","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:2f4a51b0dd4fc63abf923f20a0085b99d30bfe498aa5c8bcfd4817717b260136","observation_id":"a1ad7c0a-30ce-4b3b-afe3-336dc7abbf14","resolution":{"observed_at":"2026-05-26T05:27:23.376635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: CVPR (2022)","venue":null,"work_id":"304a2bdd-f94b-4251-b9dd-3637d54cd03b","year":2022},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:53bf398dceff036ff8b3c3bd79e00fd6dd7ab435999b0b2bfa2c232741c7c521","observation_id":"222f96d2-67bf-4803-ae6b-919c77187ee0","resolution":{"observed_at":"2026-05-26T05:27:23.397565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Com- puterVision–ECCV2020:16thEuropeanConference,Glasgow,UK,August23–28, 2020, Proceedings, Part XXV 16","venue":null,"work_id":"5e6e3959-7c95-4800-b5e3-5288944cf201","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:1a1f9a72ce46e995e53bcffe2c63306dafb4113f184d1dd389ede423e860a26a","observation_id":"27f3f65d-d1bf-4c0f-9075-4da1ebf71c96","resolution":{"observed_at":"2026-05-26T05:27:23.425012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition","venue":null,"work_id":"0a336a59-aab1-4703-8510-0974bbc0bd79","year":2021},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:2a3836e737e93eba7ae9dd3986f3e1d2a51f3d966b17e4301542bc845fcb31f2","observation_id":"bc080390-5706-4fd8-80f8-029e0f19383a","resolution":{"observed_at":"2026-05-26T05:27:23.326617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"3e69d67a-eb5a-408f-ba0e-b17d47cc7e76","year":2019},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:0f9d261169baa656a598e5a3facc1883b9c82210c35270fd84bc32f899e0c28c","observation_id":"a49eeae0-9b4c-4109-ad6b-c546f35d3fbf","resolution":{"observed_at":"2026-05-26T05:27:23.333633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"0f89ec48-4529-4631-bfb5-2adb2754b23a","year":2018},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:e0002c497d8268b6ff99e782792d34550bafe4a91a5d3c55c800b26212fa670f","observation_id":"98ed69bf-1bb0-4953-b8cb-6c383e71a5c9","resolution":{"observed_at":"2026-05-26T05:27:23.337222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"a61af6f1-c756-433c-b76b-18dd03a7942f","year":2020},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:a5c04fff61aa6aaf33bd6b317521da8f02c20453210ae8a9237d73c6c2070336","observation_id":"5f194972-f664-4e0b-a69f-fa9264d7dec9","resolution":{"observed_at":"2026-05-26T05:27:23.330210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"5580c0ed-b705-4450-919f-699a2eb7f8d0","year":2022},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:9135c9573eb46387c13a34701bb632a75be0b52a04bae1078c541779471cb0a3","observation_id":"058a60e1-3575-4f1b-9ab2-29876f84e93e","resolution":{"observed_at":"2026-05-26T05:27:23.417944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.02881","last_updated":"2023-03-06T04:17:29Z","snapshot_observed_at":"2026-07-06T14:58:59.749394Z","submitted_at":"2023-03-06T04:17:29Z","title":"KBNet: Kernel Basis Network for Image Restoration","version":1},"cited_work":{"arxiv_id":"2303.02881","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.02881","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zhang, D","venue":null,"work_id":"51689ff8-feb3-4d57-ae7b-a972a95809ee","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2303.02881","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:b8bc5d4f19100704d0fe6a41178c7130b1ceda1fcd80b6d00220fab82ecf916b","observation_id":"0b5b3e0e-0dfd-47de-a64f-9dd03f0bfc0b","resolution":{"observed_at":"2026-05-09T06:40:40.245890Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03000","last_updated":"2024-03-04T16:48:14Z","snapshot_observed_at":"2026-07-06T17:39:53.791209Z","submitted_at":"2024-03-04T16:48:14Z","title":"Possible and Impossible Inferences From Reconstructed Evolutionary Processes using Phylogenies as an Example","version":1},"cited_work":{"arxiv_id":"2403.03000","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.03000","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2403.03000 (2024)","venue":null,"work_id":"8bc12aa2-4514-49ed-b030-42266ae5e870","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2403.03000","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:d9df25fd650fa8301232dcbebe8b93d786be1afbf295c158a1e6d1a61ae32a2d","observation_id":"dbc5bbe9-fe5e-4ac5-9654-5f4f5317fb24","resolution":{"observed_at":"2026-05-09T06:40:40.252732Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17902","last_updated":"2025-01-22T01:08:28Z","snapshot_observed_at":"2026-07-06T17:51:28.420385Z","submitted_at":"2024-03-26T17:43:15Z","title":"Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models","version":3},"cited_work":{"arxiv_id":"2403.17902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17902","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2403.17902 (2024)","venue":null,"work_id":"6324daa0-eca6-474e-807d-881423ad73dc","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2403.17902","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:a20c2b2feaa8d6dca339138627a42d8afad0d62c750427b5d6dd28cde01d118d","observation_id":"69b8b2e0-5990-4683-9c75-2fbd19003a5e","resolution":{"observed_at":"2026-05-09T06:40:40.172867Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08538","last_updated":"2024-10-15T15:09:10Z","snapshot_observed_at":"2026-07-06T17:29:34.813390Z","submitted_at":"2024-02-13T15:43:14Z","title":"Cubic graphs with edges in exactly one perfect matching","version":2},"cited_work":{"arxiv_id":"2402.08538","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.08538","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.08538 (2024)","venue":null,"work_id":"659d4c41-a8e3-4b3d-a9fc-9d4e01c9b3d3","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2402.08538","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:9d3cdb89681b1c4d612d6b042a4535e677dd8e506e0d8cda4dd9b902f7dd3e10","observation_id":"bc122e17-c68a-45ed-bb73-373bd772c600","resolution":{"observed_at":"2026-05-09T06:40:40.191596Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15269","last_updated":"2025-03-11T03:41:09Z","snapshot_observed_at":"2026-07-06T19:55:46.467982Z","submitted_at":"2024-11-22T12:45:12Z","title":"MambaIRv2: Attentive State Space Restoration","version":2},"cited_work":{"arxiv_id":"2411.15269","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.15269","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mambairv2: Attentive state space restoration","venue":null,"work_id":"8c1a14db-2930-4f8b-90b8-c8dc90ad8cba","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2411.15269","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:1de7e2c0cea27d93702ee4da6f5ac67af14f46d1304791698e4ba896b4d9acf3","observation_id":"dff4f413-6936-4af4-ae47-c5a0c51334ea","resolution":{"observed_at":"2026-05-09T06:40:40.277424Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: International conference on machine learning","venue":null,"work_id":"6a469210-96ce-46d6-9921-963ad283fd42","year":2023},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:685f8a3f863489c2276e8316fcc4c2e02e965a8ba5c475650d73a28a38bfeda2","observation_id":"2de044a7-f39e-4937-b88e-2b08c876d442","resolution":{"observed_at":"2026-05-26T05:27:23.452238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14631","last_updated":"2026-07-20T12:59:54Z","snapshot_observed_at":"2026-07-23T23:20:49.656945Z","submitted_at":"2024-02-22T15:26:00Z","title":"Equidistribution for Random Polynomials and Systems of Random Holomorphic Sections","version":12},"cited_work":{"arxiv_id":"2402.14631","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.14631","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Equidistribution for Random Polynomials and Systems of Random Holomorphic Sections","venue":"math.CV","work_id":"3c325579-a146-4c0f-acde-37e900c09812","year":2024},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"cited_paper":"/paper/2402.14631","citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:176fdff55c7e7eb72994c2e8cb28704455124e6a50757868cf74f09718b54c73","observation_id":"cdf44fa9-e837-4dce-b8d6-fb46bd82fc7e","resolution":{"observed_at":"2026-05-09T06:40:40.239145Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 32nd ACM International Conference on Multimedia","venue":null,"work_id":"cba12916-afd5-4cfd-b886-94204341d78a","year":1905},"citing_paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:14.469781Z"},"links":{"citing_paper":"/paper/2605.02794"},"observation_digest":"sha256:b804d6bf62324c422b475af5034f58a385afbb05f0499f4435f3c68c6f2b149f","observation_id":"e611be59-349c-4149-95aa-03bba2ab23e2","resolution":{"observed_at":"2026-05-26T05:27:23.428700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.02794","last_updated":"2026-05-04T16:35:26Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:15:51.008483Z","submitted_at":"2026-05-04T16:35:26Z","title":"Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":0,"metadata_mismatch":9,"parse_uncertain":0,"unresolved":0,"verified_exact":16,"verified_fuzzy":53},"total_outbound_references":78},"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":"2026-07-29T08:13:00.99439+00:00","source":"crossref"},{"observed_at":"2026-07-29T08:12:51.666926+00:00","source":"retraction_watch"}],"thesis":"As of 29 July 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2605.02794."}