{"as_of":"2026-08-10T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f1bc0dcbfb0adc360acbdf9e315c4b5a7adf2c5cddd9011e1083498b7dae64b","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:43:12.088180Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2507.07707/citation-record","integrity":"/paper/2507.07707/integrity","json":"/paper/2507.07707/citation-record.json","paper":"/paper/2507.07707"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:24.268690Z","title":"Compressed sensing in dynamic mri,","venue":null,"work_id":"e6012691-eaf8-49f9-9121-d07138dabe55","year":2008},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:05.370307Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:72dc5a2fd99fe8a13206af2397d387a24d62d27ee58a7917bbc772b1bd1b5ab8","observation_id":"1197570f-d356-4c6f-9d85-8626639b3bde","resolution":{"observed_at":"2026-08-06T18:43:24.371402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:24.047899Z","title":"Computational snapshot multispectral cameras: Toward dynamic capture of the spectral world,","venue":null,"work_id":"e0042990-c67c-4a8f-b241-2e9de8ddae0a","year":2016},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:05.448642Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:d07a6b405ff60021a50f42e6016351800810642cef5cb6169422d863fb163145","observation_id":"ed762995-44c9-4fce-a92b-1e4628e415f5","resolution":{"observed_at":"2026-08-06T18:43:24.143338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:23.808583Z","title":"Coded aperture compressive temporal imaging,","venue":null,"work_id":"9de88aa6-a88c-4a59-8d30-4750df0f04b1","year":2013},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:05.585546Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:e7dec0ab1f1544c0b3a0ef31eccb4ee4caa3b90ecfab27b5011d9ca307046f1b","observation_id":"201dced8-a04c-474b-91bb-eb3653387480","resolution":{"observed_at":"2026-08-06T18:43:23.900059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:23.552689Z","title":"Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling,","venue":null,"work_id":"0023ce9e-a2c7-42fd-8149-485066b7c78f","year":2023},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:05.680077Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:94cf091f55fc1c0712a9c7137fb14233cc20ac8f0cd36f48c057f5b1da607d84","observation_id":"c1acc849-d85b-4ca2-ab49-c953099b6767","resolution":{"observed_at":"2026-08-06T18:43:23.675988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:23.271015Z","title":"Generalized alternating projection based total variation mini- mization for compressive sensing,","venue":null,"work_id":"54775558-4f4c-4910-ba7e-795fc24c8b23","year":2016},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:05.820721Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:e9ed20699dae3db97a8c23548d274417ff55d0454266fb084fd9b38675b2190a","observation_id":"e72bd343-42d2-475d-80c8-01ee486e52d3","resolution":{"observed_at":"2026-08-06T18:43:23.442762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:22.966439Z","title":"Snapshot compressive imaging: Theory, algorithms, and applications,","venue":null,"work_id":"c2d65c41-be0d-4b94-9a61-ba0ba1f5df9e","year":2021},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:05.946692Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:017386d47313983ae5cd132a88b0a804e799835232154f17edd8bf13089b96a3","observation_id":"1f2f2ee9-bd31-44e3-8238-27fbc9163e32","resolution":{"observed_at":"2026-08-06T18:43:23.094680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:22.762816Z","title":"Deep learning for video compressive sensing,","venue":null,"work_id":"76613792-bac8-4684-993a-706b69f56e69","year":2020},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.077713Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:3aeb236672cf330c44cc02dfe36d0ec17d49bbf9d2792153cc9fa7a14da3a52a","observation_id":"3f0cdc5a-5041-4274-a248-f54b4c016f87","resolution":{"observed_at":"2026-08-06T18:43:22.871282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:22.484093Z","title":"Deep learning for accelerated and robust MRI reconstruction,","venue":null,"work_id":"1a9c3a9e-da8f-42a7-aa7a-ac104603b416","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.197823Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:8b157b82352abf1b46a75b5af436c45fa8163e44f12a6477e8cff34e7283181e","observation_id":"cd9860bd-0599-444c-8e71-d5449f5e18ff","resolution":{"observed_at":"2026-08-06T18:43:22.604645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:22.212457Z","title":"Untrained neural network priors for inverse imaging prob- lems: A survey,","venue":null,"work_id":"d2d94819-4016-4fda-9ce1-5d440ba228d2","year":2023},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.343227Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:60d6b53722f8c7b24421a2230f1528ab6088210b99282e9624bac05ad194c049","observation_id":"fb8104d4-6c35-4f6d-9b4e-5d0d3e883740","resolution":{"observed_at":"2026-08-06T18:43:22.328898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:06.422337Z","title":"Understanding untrained deep models for inverse problems: Algorithms and theory,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.422337Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:2c084dd26cf025963ce56114e00df859fb555ae61432698028fd980e257d6f80","observation_id":"a3ca25a3-da7d-4d53-8f57-c79796b8b68d","resolution":{"observed_at":"2026-08-06T18:43:06.422337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:22.000909Z","title":"Unsupervised deep learning methods for biological image reconstruction and enhancement: An overview from a signal processing perspective,","venue":null,"work_id":"38322a09-207d-4b9b-a4ff-1e0bca9c2176","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.590588Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:89c0769d32bd82231827701ca2848f106ad5ac3423d3389a96e77ee8b4945c3e","observation_id":"310bee54-ffd7-454b-8cd1-a655c13e3846","resolution":{"observed_at":"2026-08-06T18:43:22.108646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:21.697504Z","title":"Deep image prior,","venue":null,"work_id":"4ed57533-8595-46fa-868e-363d0e003a28","year":2020},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.687543Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:d5c84dcbf0ffdfe6de5531838d18f0d83cfbed021e8aefce6cb5f33caeda2755","observation_id":"523b8016-0506-4a1c-93fa-8dcd0a1f5e86","resolution":{"observed_at":"2026-08-06T18:43:21.837247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:21.441957Z","title":"Time- dependent deep image prior for dynamic MRI,","venue":null,"work_id":"72c03512-4bb3-4e51-af69-cdd7a443c833","year":2021},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.836743Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:e78b2af8f10b6f261c572a7699c3b4379a1117b8bc2811da96eca01818ab01b0","observation_id":"5c38f66e-238a-4c45-aace-ea274e490326","resolution":{"observed_at":"2026-08-06T18:43:21.582956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:21.190725Z","title":"Untrained neural nets for snapshot compressive imaging: Theory and algorithms,","venue":null,"work_id":"d3624864-4b58-42b2-a1a2-fd675e767658","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:06.975359Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:faa5a7069b665a01a9f2f3d769408702ff88a31660a49a0849175d3a26b4c734","observation_id":"3a8844a1-3b65-4c63-8147-25acc884b9e2","resolution":{"observed_at":"2026-08-06T18:43:21.282536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:20.988094Z","title":"Hyper- spectral denoising using unsupervised disentangled spatiospectral deep priors,","venue":null,"work_id":"0692d7e5-c5fb-491c-9e14-c9c3ce6ac578","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.098034Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:58781ddd5f32f1d58b4de2acca8930edfc62334b6ba7c8972a4447c97fa44b57","observation_id":"81aefb54-f204-42c4-99f3-ea73f4fe5ab7","resolution":{"observed_at":"2026-08-06T18:43:21.087843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:07.235414Z","title":"Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.235414Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:0782b31c56644b5b61f4267f0efb63f8cf3bc7e0405a122bc1234d33c7ff6edb","observation_id":"0426176f-ee83-45ed-9ea1-9fea69c7627e","resolution":{"observed_at":"2026-08-06T18:43:07.235414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:20.718551Z","title":"Hyperspectral compressive snapshot reconstruction via coupled low-rank subspace representation and self-supervised deep network,","venue":null,"work_id":"dd8ecf1d-2106-4cbf-bec6-964a0978a7ed","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.332565Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:6c9a8a1a6714af26fc9426d64e7fec1991d644b557bd31e627f88316b1961765","observation_id":"3575d567-0610-4a71-967b-b027020aba43","resolution":{"observed_at":"2026-08-06T18:43:20.849551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:20.447288Z","title":"Implicit neural representations with periodic activation functions,","venue":null,"work_id":"d1290b8c-f95e-4d7a-bc67-23a7cc191da3","year":2020},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.478480Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:0a9640cbc7bc69b80e4b5ce5c0f2c62e0a79b4b99c7856183dfcda5fb4d9be77","observation_id":"4cb33b46-d631-45b5-9437-6ce2dbde4a89","resolution":{"observed_at":"2026-08-06T18:43:20.588588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:20.216701Z","title":"Coil: Coordinate-based internal learning for tomographic imaging,","venue":null,"work_id":"77128e61-d8ca-4c8d-8bca-c97cd2efd683","year":2021},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.614336Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:d436cff530bd28dce1bae513d9dd6dfcfda53058de57b7c050b05d0a8fb6450c","observation_id":"308c4e8d-fd6a-4f67-81c5-748bdbbe4e62","resolution":{"observed_at":"2026-08-06T18:43:20.305532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:19.985536Z","title":"Nerp: Implicit neural representation learning with prior embedding for sparsely sampled image reconstruc- tion,","venue":null,"work_id":"47824a0a-f4c4-4188-a63e-63658f90318c","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.723141Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:3266f644ac523473c31aa3be321087d59e906bc14d746ced9e1e0973783b5d93","observation_id":"63e2a09f-9179-4cd6-b1ea-d9079299a18a","resolution":{"observed_at":"2026-08-06T18:43:20.102523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:19.687602Z","title":"Neural tangent kernel: conver- gence and generalization in neural networks,","venue":null,"work_id":"c8c302c2-4339-40e1-adb2-0ece8d73ec2c","year":2018},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.859997Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:57a8c9f276e9e94e19dcc1b54ceb73dc1377123c7e5ea0e51b59251c61f56ac4","observation_id":"b8c4d8ee-5b5c-40a6-a905-3da374a92f7e","resolution":{"observed_at":"2026-08-06T18:43:19.832042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:19.331962Z","title":"Fourier features let networks learn high frequency functions in low dimensional domains,","venue":null,"work_id":"bb490ba2-bf6c-460a-b9ce-524bd093610c","year":2020},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:07.958073Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:879d444a688e68b0b5d7e28727239e4effae8a518b0a8ac62689ef2d79951f05","observation_id":"533319f9-e66b-41f4-b261-941432d3c41e","resolution":{"observed_at":"2026-08-06T18:43:19.429607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:19.097295Z","title":"Instant neural graphics primitives with a multiresolution hash encoding,","venue":null,"work_id":"c05abe25-d684-4e64-8539-1e1487b2f0c2","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.087858Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:15686cdcc94898e12d594855027817506f2ac8fb02611cc8ea1f287aa74bc1ad","observation_id":"b12cc69e-88e7-453c-a31b-009b37adb736","resolution":{"observed_at":"2026-08-06T18:43:19.200033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:18.815002Z","title":"Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction,","venue":null,"work_id":"4355f7ed-834a-4bbf-9d8e-98bd24b5d4c6","year":2025},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.194036Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:0cbd089a65cd071997105aad66662929adc972f004ae1afa9346f93a414d0019","observation_id":"2838e6c6-092b-45cb-b747-02695c7b6e60","resolution":{"observed_at":"2026-08-06T18:43:18.940771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:08.335683Z","title":"Tensor decompositions and applications,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.335683Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:4935f74a11ad094d2d7a6e0f4ab966495b13b95836987445ee575b84da1a3806","observation_id":"831ee2ec-5bd4-4b85-aab0-b2ef0d468596","resolution":{"observed_at":"2026-08-06T18:43:08.335683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:18.554821Z","title":"Hand- held snapshot multi-spectral camera at tens-of-megapixel resolution,","venue":null,"work_id":"b244bda7-a918-4a30-936b-292c556a1e01","year":2023},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.480347Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:e00886bcae536fad93de5d0f413e2a1657c77ec51dc14941b04c360a36ed04d4","observation_id":"b77ad23a-909e-4891-8ec2-4a3600fda490","resolution":{"observed_at":"2026-08-06T18:43:18.670762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:18.323815Z","title":"Plug-and-play algorithms for video snapshot compressive imaging,","venue":null,"work_id":"b1c018b4-7498-4a6b-98d0-744cce0231dd","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.600097Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:6fb70ce5fed7d4d4314bf6973dc441809b4b2816936a5fe7cf40c60d3f2eff04","observation_id":"cf17d566-2e3d-4cea-8946-362cb736dfb0","resolution":{"observed_at":"2026-08-06T18:43:18.445724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:18.138965Z","title":"Rank minimization for snapshot compressive imaging,","venue":null,"work_id":"4a57196c-becd-445d-ad36-334ff6db577a","year":2019},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.709023Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:aa18e01c551579a91218808dfbc0694ec9500415a387b7c7859bf8346cf85f18","observation_id":"db72fc33-0626-4790-8b31-d4aed3d71146","resolution":{"observed_at":"2026-08-06T18:43:18.232671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:17.889238Z","title":"s2s2-transformer for mask-aware hyperspectral image reconstruction,","venue":null,"work_id":"f90e52d4-5c56-4356-8acf-77d2ac4b729a","year":2025},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.851577Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:b7bdbc923d2164f6866fdcde4f03c970e4691aca49414c1cf8b2926c5c85a4fd","observation_id":"94812745-aa63-480a-96f0-989366f99a4e","resolution":{"observed_at":"2026-08-06T18:43:17.981348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:17.698435Z","title":"Hybrid cnn-transformer ar- chitecture for efficient large-scale video snapshot compressive imaging,","venue":null,"work_id":"b72ca5ac-8290-42c4-afdb-12a1f15c41af","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:08.962222Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:197f4a7d4d15a7e73cbbfc84fca002462dfe34d0aabadc0f591e4104e61b78e9","observation_id":"b5286883-000a-4c4c-8e4c-b5e905dae9b7","resolution":{"observed_at":"2026-08-06T18:43:17.801181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:17.475395Z","title":"Dual prior unfolding for snapshot compressive imaging,","venue":null,"work_id":"8a1e967d-812a-43ae-a381-fef03308f152","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.081370Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:aed062a6ff9ff755c46d90092771136e2663a3516185f2ff6ed56e2d591d540f","observation_id":"341430d6-a195-4bf6-9791-4f3f7df6b3cb","resolution":{"observed_at":"2026-08-06T18:43:17.601795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:17.200085Z","title":"Snapshot compressive imaging using domain-factorized deep video prior,","venue":null,"work_id":"652b4eb1-4488-47d6-848d-3e0ecc6f0660","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.232569Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:e3a80830e0303205e0c2308e84383de3fce4951e3b490c7890940c869f302d22","observation_id":"979a7d19-ce69-4a57-803a-efeff465ddbd","resolution":{"observed_at":"2026-08-06T18:43:17.359561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:16.920094Z","title":"Diffusion posterior sampling for general noisy inverse problems,","venue":null,"work_id":"529d84d1-4e23-4850-901d-5123d912cd21","year":2023},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.376041Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:c8f121746d58e32aa2e9c080594e857001193d7cca8cfdeaafb69a933e7fb2b6","observation_id":"77796ace-be72-4b5e-88e1-7b7fe4e02a1a","resolution":{"observed_at":"2026-08-06T18:43:17.052637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:16.703171Z","title":"Hir-diff: Unsupervised hyperspectral image restoration via improved diffusion models,","venue":null,"work_id":"2f092e3f-28d7-4f75-b14e-acc60f2c4ff1","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.488742Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:70523f1597beb160622a34c0c58df892c8dd985fee7f87680d4c9c85da6619c3","observation_id":"9d8fe3ae-d698-47ad-aa8e-6e6e8be18cdc","resolution":{"observed_at":"2026-08-06T18:43:16.795007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:16.480632Z","title":"Dds2m: Self-supervised de- noising diffusion spatio-spectral model for hyperspectral image restora- tion,","venue":null,"work_id":"5bd7a11b-f240-4800-a7fb-79348cc3a22d","year":2023},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.622147Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:537a9cba13ed779d48ffd00732f2491591ab95df04d8f68217d568e52167009a","observation_id":"7113175c-3d58-4f7e-9c4b-262b997dc12e","resolution":{"observed_at":"2026-08-06T18:43:16.594268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:16.287604Z","title":"Hlrtf: Hierarchical low- rank tensor factorization for inverse problems in multi-dimensional imaging,","venue":null,"work_id":"505d5c05-6cd2-4bd6-9c60-63ce9eab9ae1","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.740786Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:151a273bea5ab53f1f7cc79dae5a7a10552b062dfebc5c1733d961ee1fa8de79","observation_id":"64b56526-35a2-432d-82e6-58189c1eeadf","resolution":{"observed_at":"2026-08-06T18:43:16.358335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:16.025724Z","title":"Convolutional recurrent neural networks for dynamic mr image reconstruction,","venue":null,"work_id":"517910b8-12bd-44d6-9408-2b0e64676870","year":2019},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.894002Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:fa850c641b8dad9a082dfa4823450f24e9bab2feec38894c6224ca7c6d5299c6","observation_id":"88e27b7d-1bae-4583-a5b5-05ef30a23089","resolution":{"observed_at":"2026-08-06T18:43:16.150976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:15.731076Z","title":"Deep low-rank plus sparse network for dynamic mr imaging,","venue":null,"work_id":"ee05897d-890d-4cac-903e-e48adc154d19","year":2021},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:09.977285Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:ad655880ecc5e61e34d7e1e5c31193e949a0f9dd6e4a4a2307320450d483a48f","observation_id":"5ec06bc6-c111-4818-bdb7-e57964514d53","resolution":{"observed_at":"2026-08-06T18:43:15.889507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:15.476686Z","title":"Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden- angle radial sampling for fast and flexible dynamic volumetric MRI,","venue":null,"work_id":"282200fb-a214-4123-9119-3e738f3ebe25","year":2014},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.107722Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:80dde57b5e366079ec8c09e33c716963c328d5987c26231ce5d38adaaa6aeec9","observation_id":"3d364a42-e039-4354-9881-5fb93d0953ee","resolution":{"observed_at":"2026-08-06T18:43:15.590313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:15.160408Z","title":"Neural implicit k-space for binning-free non-cartesian cardiac mr imaging,","venue":null,"work_id":"debb3ea6-387f-4a6b-82ef-fee8f44f9ae4","year":2023},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.254726Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:78c92202c94acf46f2e469b22ce313b47bd40e45577f0033423aa23e18ec406c","observation_id":"1b155c21-9238-4fd4-be35-a19f140aa3eb","resolution":{"observed_at":"2026-08-06T18:43:15.339518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:14.854017Z","title":"Implicit neural networks with fourier-feature inputs for free-breathing cardiac MRI reconstruction,","venue":null,"work_id":"19fb6a9b-a025-4afd-b878-a62c5face54b","year":2024},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.393522Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:6d22272f549a67973e176f25acf889a4e76c7fa42d38064d0f2ce6313ed06d11","observation_id":"c594f2fc-1068-4cc9-9753-f292dda15ab4","resolution":{"observed_at":"2026-08-06T18:43:14.995439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:14.613624Z","title":"Hyperspectral image denoising using spatio-spectral total variation,","venue":null,"work_id":"1d2982f2-ed62-4705-abde-8c4d85c53c80","year":2016},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.510730Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:6192d2140d02c6fff2c7b010059efeac3aa097ff68495ff02541c6d7d372411e","observation_id":"9a9236ff-c8b9-48c1-95a1-3fe2f2a38a0d","resolution":{"observed_at":"2026-08-06T18:43:14.715241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:14.256294Z","title":"Plug-and-play ADMM for image restoration: Fixed-point convergence and applications,","venue":null,"work_id":"f2e1739a-22ab-428b-8921-a976bc6ea692","year":2017},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.638080Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:7dfc97e78f6ec8c3b11a7c786ddd62a4acfdcfe5637d1207ee8036fecf9e2bea","observation_id":"2bf5c4b8-8338-4cd0-9000-290390804d3d","resolution":{"observed_at":"2026-08-06T18:43:14.470514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:13.746777Z","title":"Self-supervised neural networks for spectral snapshot compressive imaging,","venue":null,"work_id":"276002a1-4209-4185-a369-101e204b646b","year":2021},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.807033Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:35b35faaa3ea2d5ddfed78a1e0ca08a7f5a538b8170a5876f4b35633e4520f4f","observation_id":"5646739b-c4e6-4313-ae61-07afab1b7e14","resolution":{"observed_at":"2026-08-06T18:43:13.985412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:13.511220Z","title":"Blind video temporal consistency via deep video prior,","venue":null,"work_id":"db6785ff-f518-4127-a555-a318f5c03119","year":2020},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:10.924698Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:f6c95ddb4dedce95a8ac2d2646948e5ed3f6e093a2efba4a504a6922a16490b8","observation_id":"e36d6721-7711-4f19-8d0b-c088f506714f","resolution":{"observed_at":"2026-08-06T18:43:13.568358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:13.345912Z","title":"High- quality hyperspectral reconstruction using a spectral prior,","venue":null,"work_id":"b7d3f5d7-840a-44d8-b6fa-43e7247afb0e","year":2017},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.067145Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:00dacb8b574eaeb37c9868c64c77cc7261f14fa52029692124c0dcdb03725633","observation_id":"f66ef8b3-e8a6-48cb-b436-b48c3d171a52","resolution":{"observed_at":"2026-08-06T18:43:13.415616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:13.224511Z","title":"Mask-guided spectral-wise transformer for efficient hyper- spectral image reconstruction,","venue":null,"work_id":"15da0810-033f-468f-957d-993be37b94ce","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.160977Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:27d729454058e98fbf4367ace83cf3cfb59c3d99474d467c59dbb84ded579523","observation_id":"c3b70725-3bbf-40a4-820f-c7704d41be34","resolution":{"observed_at":"2026-08-06T18:43:13.267693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:13.089462Z","title":"lambda-net: Reconstruct hyperspectral images from a snapshot measurement,","venue":null,"work_id":"a190a795-d7f0-4c51-9492-295c81a43ff2","year":2019},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.292453Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:b87f0d05faf973709a345925ca2c13e8a0ba1e4844aed6f2fc1cb9ed47ecf7ff","observation_id":"92af04c7-4d6b-40e4-be86-b78e18f29102","resolution":{"observed_at":"2026-08-06T18:43:13.159221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:12.945850Z","title":"Hdnet: High-resolution dual-domain learning for spectral compressive imaging,","venue":null,"work_id":"0d1c7a9c-cc42-481c-acf1-462bef8c6239","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.500836Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:9c813e86a579f13279d00c713dbc1068e1a8dd108378fc7e44ada3efd1f41366","observation_id":"a1ca9080-8373-4c58-84b0-8f84c59c655c","resolution":{"observed_at":"2026-08-06T18:43:12.983790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:12.777516Z","title":"End-to-end low cost compressive spectral imaging with spatial-spectral self-attention,","venue":null,"work_id":"b3f81e22-655d-4a1c-af9a-e4385b9b890f","year":2020},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.678845Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:5ec19777a1ec9ae66a8efd0617fd63c2bc032fa33f0f5b5b9b23f1fea1de2ed1","observation_id":"c8adf395-6ebb-4373-a4db-3ef18d1bd626","resolution":{"observed_at":"2026-08-06T18:43:12.850207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:12.647625Z","title":"Coarse-to-fine sparse transformer for hyperspectral image reconstruction,","venue":null,"work_id":"08475bb6-d4e2-44be-9189-4608d4aaef2e","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.825591Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:c4e1b5362261c8cbc0cdaa14ecf75819d623f5b3ad8c13944672a5faeece6038","observation_id":"d80a51ee-bdce-4813-982a-ee70c54e3ce9","resolution":{"observed_at":"2026-08-06T18:43:12.690352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:12.487822Z","title":"Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,","venue":null,"work_id":"4e914d3e-2b1b-4400-8436-eed395973bfb","year":2022},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:11.947288Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:306e0a6b859fe1b460bbfa1cd2f1bebdd37aa4ed0c4d3bf009c3573a2932e7c6","observation_id":"ba10f0d7-bea1-4445-aa79-190c6e97707b","resolution":{"observed_at":"2026-08-06T18:43:12.564716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.03410","last_updated":"2020-08-12T15:43:42Z","snapshot_observed_at":"2026-07-06T09:45:29.258982Z","submitted_at":"2020-08-08T01:07:02Z","title":"OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.03410","snapshot_observed_at":"2026-08-06T18:43:12.036250Z","title":"Ocmr (v1. 0)–open-access multi-coil k-space dataset for cardiovascular magnetic resonance imaging,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:12.036250Z"},"links":{"cited_paper":"/paper/2008.03410","citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:070df7f7354b649f5a6e6d8f11fe1fe70abb9da8d8e9450caba9c3f1823e8b24","observation_id":"9b83b3cd-ba36-4c9e-984a-45def154ca31","resolution":{"observed_at":"2026-08-06T18:43:12.036250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:43:12.338083Z","title":"Espirit—an eigenvalue approach to autocalibrating parallel MRI: Where sense meets grappa,","venue":null,"work_id":"ceb1a4a1-cc4c-4b4c-865e-eb443704c768","year":2014},"citing_paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T18:43:12.088180Z"},"links":{"citing_paper":"/paper/2507.07707"},"observation_digest":"sha256:b4c3b5d941b895e1cb64fe4ff7cde2e89b79ec48162f6a317acf4cb07962ec05","observation_id":"65d272c7-221b-4f75-b7ee-9059362e7602","resolution":{"observed_at":"2026-08-06T18:43:12.417200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.07707","last_updated":"2025-07-10T12:36:20Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-06T18:32:23.993702Z","submitted_at":"2025-07-10T12:36:20Z","title":"Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":50},"total_outbound_references":54},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.07707."}