{"as_of":"2026-08-09T01:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e3ce31e6aefc317246c74e1ba5a9ad45ece097b862b3de564e5464bbfb587bdd","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:20:13.202843Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T13:19:43.866226Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T13:28:18.386637Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"cited_work":{"arxiv_id":"2506.18437","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18437","snapshot_observed_at":"2026-07-03T13:28:18.386637Z","title":"arXiv preprint arXiv:2506.18437 (2025)","venue":null,"work_id":"7f342502-e564-41fa-bf1f-e2ea637a511f","year":2025},"citing_paper":{"arxiv_id":"2607.01870","last_updated":"2026-07-02T08:25:51Z","snapshot_observed_at":"2026-08-07T19:25:24.487370Z","submitted_at":"2026-07-02T08:25:51Z","title":"CamoNAS: Neural Architecture Search for Enhanced Camouflaged Object Detection","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-03T13:19:43.866226Z"},"links":{"cited_paper":"/paper/2506.18437","citing_paper":"/paper/2607.01870"},"observation_digest":"sha256:a5bc318313a08e60a40128071029e0285795fbdd32bf3b607d3527eca42df4db","observation_id":"b2baeeb1-d0bc-4d6b-9aaa-923c230aa964","resolution":{"observed_at":"2026-07-03T13:28:18.388509Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.18437/citation-record","integrity":"/paper/2506.18437/integrity","json":"/paper/2506.18437/citation-record.json","paper":"/paper/2506.18437"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:17.813434Z","title":"Recurrent feature reasoning for image inpainting,","venue":null,"work_id":"f5280021-20d9-4b44-a461-cfd59980791b","year":2020},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:08.922624Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:ea7a0e6c42a838ecbde62af306d637e7920193b8514e3d1f5fa9c6e78589d343","observation_id":"0ff0bbd6-2eef-442f-8e05-4402094b82ca","resolution":{"observed_at":"2026-08-06T23:20:17.911931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:17.630475Z","title":"Misf: Multi- level interactive siamese filtering for high-fidelity image inpainting,","venue":null,"work_id":"804b5f08-7af8-45ec-97cd-00488328d137","year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:08.983488Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:41b1b1f10d010b224edbc1d20c3fd91cb6a490ddaa013b66b7dd571ea65a0682","observation_id":"c9ad8259-77e8-4091-b918-071108ba9b99","resolution":{"observed_at":"2026-08-06T23:20:17.738555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:17.437466Z","title":"Image inpainting with learnable bidirectional attention maps,","venue":null,"work_id":"bf0b00d2-cee4-4390-8964-83d95eb21ff3","year":2019},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.055786Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:460005dbfb2e801641a4a652c3ae0b77297beb690bb5359ee51a56ed6180a3bc","observation_id":"fd123695-a396-4bd3-90a1-29719e7391b5","resolution":{"observed_at":"2026-08-06T23:20:17.517353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:09.115196Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.115196Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:4fcb730ec0925dc563d95680b0b55605c47dbaa6dc9618c6cb1a67b6efb04ee9","observation_id":"cc6db467-9e54-4cde-89bf-314ef90b9070","resolution":{"observed_at":"2026-08-06T23:20:09.115196Z","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":"2026-08-06T23:20:17.230043Z","title":"Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations,","venue":null,"work_id":"69297320-a9cb-47b4-b309-b330390a5f08","year":2021},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.163271Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:a91475a572615df595ddcb39a0592ee5377a7b725ac598cdf80ff699ba76eea8","observation_id":"19730165-da13-49de-aaa3-2067f5bed9ff","resolution":{"observed_at":"2026-08-06T23:20:17.327978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:17.050035Z","title":"High-fidelity pluralistic image completion with transformers,","venue":null,"work_id":"607816f2-98e0-46f8-b0c3-d48b5a24cf22","year":2021},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.207474Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:0aa019af0a1a9da8a236cc792892ebecb5ae07f98704348f69961e65d1ee5b8f","observation_id":"0422b1b8-c061-47ad-bc9f-c57a8b506c2b","resolution":{"observed_at":"2026-08-06T23:20:17.111708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:09.305540Z","title":"Swinir: Image restoration using swin transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.305540Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:7e99a9aa625b4f8f53ccf6c15965e149f8b0dc9ad0b786535f211a3b92e3639c","observation_id":"dc529a67-1ad3-4cde-89d3-1fb2535e52fb","resolution":{"observed_at":"2026-08-06T23:20:09.305540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.11247","last_updated":"2023-09-24T14:25:02Z","snapshot_observed_at":"2026-07-06T13:44:48.609196Z","submitted_at":"2022-08-24T01:04:47Z","title":"SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.11247","snapshot_observed_at":"2026-08-06T23:20:09.407761Z","title":"Swinfir: Revisiting the swinir with fast fourier convolution and improved training for image super-resolution,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.407761Z"},"links":{"cited_paper":"/paper/2208.11247","citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:2dbee52232256ea545613dc2a7f1d6b48f5b9d3aae0a310dc5a929817b826e4b","observation_id":"062f8737-c239-4be2-b771-1a017d977046","resolution":{"observed_at":"2026-08-06T23:20:09.407761Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:09.516184Z","title":"Activating more pixels in image super-resolution transformer,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.516184Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:cb2272513b8e7c95da06b962378986c8eaee318e42027e3bc0e4e0c8f648b227","observation_id":"8a3936cd-fd79-4736-bad9-91f967030fc2","resolution":{"observed_at":"2026-08-06T23:20:09.516184Z","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":"2026-08-06T23:20:16.791146Z","title":"Hint: High-quality inpainting transformer with mask-aware encoding and enhanced atten- tion,","venue":null,"work_id":"3088980d-e920-4636-b721-5a1bbe9cf1f5","year":2024},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.663638Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:d1d9895236c818ff6e0f7ac35fc5be5c5298e969000fdb5195893631be8601be","observation_id":"8015d856-d142-4d9a-84cc-640b4988511b","resolution":{"observed_at":"2026-08-06T23:20:16.914154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:16.600015Z","title":"Transref: Multi-scale reference embedding transformer for reference- guided image inpainting,","venue":null,"work_id":"21c52323-73fb-42e9-a068-23347c877c19","year":2025},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.789889Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:20c8daa03cf75487c1298f3632951bdd0b7fcd738a873cf8f2ba9683dbe52961","observation_id":"86becba0-1760-497d-90d0-1b1d4515eae2","resolution":{"observed_at":"2026-08-06T23:20:16.676249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:09.835714Z","title":"Restormer: Efficient transformer for high-resolution image restoration,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.835714Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:08c0fa8772193fe474277a7fa75610be1fc2bce80f62b31199c1529c98df71eb","observation_id":"4788d820-3ee0-4a88-b71b-2a817030d2fe","resolution":{"observed_at":"2026-08-06T23:20:09.835714Z","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":"2026-08-06T23:20:16.419874Z","title":"A practical guide to wavelet analysis,","venue":null,"work_id":"87f2a67d-2e02-4fe4-b707-6868477ef0e0","year":1998},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.886463Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:d51b4728e7650740c0babbb0ae6c45c4e932c08696dacfee052672f77b244214","observation_id":"a0e5b105-9cc0-4ad3-a83b-0a3df7bfd8f3","resolution":{"observed_at":"2026-08-06T23:20:16.509998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:16.287668Z","title":"A review of convolutional neural networks and gabor filters in object recognition,","venue":null,"work_id":"e17e59e1-e8ae-4951-8e81-2cb1999f80b9","year":2020},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:09.945482Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:3b565f8bf3dc5fe3e1632672703c7719f95d18ebe39cdd973d2f1606fe98102c","observation_id":"b46f2caa-a3f9-40f1-8473-2c608dcac3b4","resolution":{"observed_at":"2026-08-06T23:20:16.334222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:16.138123Z","title":"Ft-tdr: Frequency-guided transformer and top-down refinement network for blind face inpainting,","venue":null,"work_id":"a2b8f6d4-bfdf-4f1f-aadd-98f659b8a9e7","year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.016784Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:6e1e2949708931eea4798ba5d2d4191cd43566e623694561fda14a0967206676","observation_id":"9f34aff1-aa71-4cd4-b9d1-b3fa86349d06","resolution":{"observed_at":"2026-08-06T23:20:16.176956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:16.028909Z","title":"Bridging global context interactions for high-fidelity image completion,","venue":null,"work_id":"0475bd7c-9747-41e1-96bc-e86c511f85b0","year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.132293Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:708823ad9bcd6d5f4169048156e01f1896d626c69c9fb1d48bb049635e2b23d2","observation_id":"18c691a9-3fcb-4f73-8658-90639762c52b","resolution":{"observed_at":"2026-08-06T23:20:16.085723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:15.891461Z","title":"Incremental transformer structure en- hanced image inpainting with masking positional encoding,","venue":null,"work_id":"d0b8ca8f-d308-4a0a-b4b4-6dae494862a8","year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.227300Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:db5b25ea435d17242c7e36afafabdd681662e2e3bd9860b420f0964f12770718","observation_id":"9902531b-50fc-4420-9296-53631a1c667e","resolution":{"observed_at":"2026-08-06T23:20:15.951080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:15.746489Z","title":"Reduce information loss in transformers for pluralistic image inpainting,","venue":null,"work_id":"2837cac1-6069-4a60-8100-a661f4ec9f72","year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.325366Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:79c832504408dd78289a1020d18476810d25cfa0a92e2da803f00be16cd262df","observation_id":"e6a1c399-c2f5-4925-a886-996c5c5516b4","resolution":{"observed_at":"2026-08-06T23:20:15.811428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:10.414906Z","title":"Mat: Mask- aware transformer for large hole image inpainting,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.414906Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:0cbef344cb7e1688b6453fa0c3e0de2863ca900db271077da9fa17ac827781cc","observation_id":"29919f42-0161-42d7-9f6c-c9d0d80e1453","resolution":{"observed_at":"2026-08-06T23:20:10.414906Z","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":"2026-08-06T23:20:15.613807Z","title":"Image restoration refine- ment with uformer gan,","venue":null,"work_id":"98fc7d85-79a1-4c46-b46a-b85f642bfad8","year":2024},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.520683Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:c5898a98ae91309fa14b6c71b5e4e5ed39c64a73c9e04c0cade3c0f8e5f1ff15","observation_id":"24459e44-4d2f-43a6-9aef-26ed213f0d6f","resolution":{"observed_at":"2026-08-06T23:20:15.647500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:15.507973Z","title":"Blind image inpainting via omni-dimensional gated attention and wavelet queries,","venue":null,"work_id":"e8dcc170-3d09-444e-95a8-2480b3734f38","year":2023},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.671738Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:a581b1e22d6b29aa0c615b5e4eebdb0db07ff58fe511071d530e849bc02cdf36","observation_id":"3177e461-ce02-48fb-ab99-004af937768f","resolution":{"observed_at":"2026-08-06T23:20:15.558421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15845","last_updated":"2024-12-20T12:36:34Z","snapshot_observed_at":"2026-08-08T14:26:45.323541Z","submitted_at":"2024-12-20T12:36:34Z","title":"Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation","version":1},"cited_work":{"arxiv_id":"2412.15845","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.15845","snapshot_observed_at":"2026-08-06T23:20:13.339300Z","title":"Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation","venue":"cs.CV","work_id":"7c5d837e-026e-4be2-8348-53915b2bf943","year":2024},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.817608Z"},"links":{"cited_paper":"/paper/2412.15845","citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:7bee73062709478ac97c44d356534ac0ac0476217572ae4058043e4f99415994","observation_id":"daaaaca0-bec9-45dc-8b72-9e46f81020a1","resolution":{"observed_at":"2026-08-06T23:20:13.409045Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:10.982552Z","title":"Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:10.982552Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:aae9a75fcc91b63564ec62a71c5c92f04b32c27308441401873fb6252ed93fb0","observation_id":"1f0369ed-6ded-4f6c-9eae-da0469b5069f","resolution":{"observed_at":"2026-08-06T23:20:10.982552Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:11.108404Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.108404Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:b35881f3a340cd8f43c3c554f0de507154ea4f3351ec31b3194d1a157cf3ae2b","observation_id":"2a93052c-e802-4b06-9990-f9554910fc7f","resolution":{"observed_at":"2026-08-06T23:20:11.108404Z","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":"2026-08-06T23:20:15.371047Z","title":"Gabor filter-based edge detection,","venue":null,"work_id":"de95d5a4-7b2f-40ee-a410-570fa74fe0ad","year":1992},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.255500Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:b8b2b287e5a58d893db85b3c583411c65e8f7fac4eeb69cf3f84075a48ddbf22","observation_id":"d2ab7b87-b5c4-4b8e-8ef0-91f52a82a1ed","resolution":{"observed_at":"2026-08-06T23:20:15.422926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:15.245647Z","title":"Gabor-guided transformer for single image deraining,","venue":null,"work_id":"589c48b4-422e-4bd3-b9ad-91f2d1052d7f","year":2024},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.403335Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:9ca543c72052e41e2d03b94511960970ee3f12c94d44cb18275887773ce19bf9","observation_id":"24a81bde-3be8-41cb-a4c2-a772a276395f","resolution":{"observed_at":"2026-08-06T23:20:15.303727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-06T23:20:11.525373Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.525373Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:613ea7203c1a1fbe8a0fdd5b3fde2ed00900abd87f743abcf6d93078e893ca30","observation_id":"e11ed082-ae2c-4f4d-8225-cd71c17a3998","resolution":{"observed_at":"2026-08-06T23:20:11.525373Z","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":"2026-08-06T23:20:15.053794Z","title":"Removing rain from a single image via discriminative sparse coding,","venue":null,"work_id":"8934d7df-2357-475b-be31-f536eb40adbc","year":2015},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.666770Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:fb224d1e06ea970c9f4dfa6609fc8e240b3c475da4bd3c1c9ba7045848249a7f","observation_id":"d5124fde-d603-4229-b4e8-395f1b2c6644","resolution":{"observed_at":"2026-08-06T23:20:15.128074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:14.863682Z","title":"Rain streak removal using layer priors,","venue":null,"work_id":"73b663f1-6ba6-4b08-8495-26ffc8ae07cf","year":2016},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.806137Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:a94a793253a51e636e1c9be6c8012729cf816a0f70c48256b024d3e0050e6a8e","observation_id":"b37af432-4ecf-4562-9fae-bf9719d38711","resolution":{"observed_at":"2026-08-06T23:20:14.925625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:11.903476Z","title":"Multi-scale progressive fusion network for single image deraining,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:11.903476Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:aa1db5bd121c1added3a576bc3cfe721891d4b7f8341bd96c2579f2fc684ab3a","observation_id":"82d47e07-4842-4664-aab2-4a031c557c2f","resolution":{"observed_at":"2026-08-06T23:20:11.903476Z","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":"2026-08-06T23:20:14.710522Z","title":"Progressive image deraining networks: A better and simpler baseline,","venue":null,"work_id":"59d8266c-1725-4ab9-b39f-b9e23f309105","year":2019},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.009833Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:672e77423b37f9eb38e3979a2aac92e0faf626b3641122c4653e9363723965c6","observation_id":"38797046-5567-4c9c-89c4-7d68782e872b","resolution":{"observed_at":"2026-08-06T23:20:14.783526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:12.136964Z","title":"Multi-stage progressive image restoration,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.136964Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:c85dc2b2f41c5268c4e40b0c256fdd77e5be9e5e68f4682bcf3fd904ea23203a","observation_id":"f92f60fa-d53e-42cc-bb95-5a5ee919fc97","resolution":{"observed_at":"2026-08-06T23:20:12.136964Z","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":"2026-08-06T23:20:14.522775Z","title":"Image de-raining trans- former,","venue":null,"work_id":"e4772563-fa7d-437e-9ba0-ffcbe7aac53b","year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.222102Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:bf75bfcae99c3094c829927df06790d2bb07c66d5fc33757dea720ef3f128296","observation_id":"616af2bb-5bb7-4932-b428-82dfe4de3c6b","resolution":{"observed_at":"2026-08-06T23:20:14.621151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:14.353814Z","title":"Hybrid cnn-transformer feature fusion for single image deraining,","venue":null,"work_id":"9b7d5a97-80f8-4fb9-a5c8-105f495bf1d2","year":2023},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.337041Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:bac533a21ac6a1d962693fa35b2b291ab5eb855050f5af7ffa7edd7b058612af","observation_id":"760c7df9-436a-491e-b09c-ee6908fc81ee","resolution":{"observed_at":"2026-08-06T23:20:14.438551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:14.201772Z","title":"Learning a sparse transformer network for effective image deraining,","venue":null,"work_id":"2ea83f63-0b97-40fb-893f-20864efe54c0","year":2023},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.457875Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:316d2d1ae34da88050625b73e8476e988f96a6e9bc158fe81f93583f52062598","observation_id":"478ee337-cf23-477f-93db-481999ed611e","resolution":{"observed_at":"2026-08-06T23:20:14.280127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:14.059672Z","title":"Efficient frequency- domain image deraining with contrastive regularization,","venue":null,"work_id":"243fb634-64f2-4d5e-8942-3b34ee9575ad","year":2024},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.568885Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:f28c261161eb95a430d896d4b023562cbabf455e1566eec64fa0ce953c49559e","observation_id":"348e1696-882a-4d2a-a4de-6ca00d51d521","resolution":{"observed_at":"2026-08-06T23:20:14.124404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:12.636611Z","title":"Deep joint rain detection and removal from a single image,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.636611Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:a0877a869ba84d9e21963b8f65c3d89fcee661eff73d643409c0c668b7ab4fb2","observation_id":"7131f426-f925-4cef-926a-e3c55d5c6f80","resolution":{"observed_at":"2026-08-06T23:20:12.636611Z","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":"2026-08-06T23:20:13.862976Z","title":"Removing rain from single images via a deep detail network,","venue":null,"work_id":"d87970db-6af8-45d2-a7f5-f8710627a1c6","year":2017},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.691343Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:1798601be9c9644c77e0c57abc8b7573cafcbb3e0985e78e6340fafad8c9d4f4","observation_id":"e4c22e21-5655-4041-b4f6-ffdb854db478","resolution":{"observed_at":"2026-08-06T23:20:13.937684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:13.674750Z","title":"Density-aware single image de-raining using a multi-stream dense network,","venue":null,"work_id":"a5442f93-413b-4bc5-89f5-b581c88dc6a0","year":2018},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.732496Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:65aac577a3f3fccc0d78ca3453f0221464438dcf539a96053ff84698cdd96c0a","observation_id":"c1c01a8f-8c45-44c3-8b2b-f83e80e30a4b","resolution":{"observed_at":"2026-08-06T23:20:13.748279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:20:12.800538Z","title":"Places: A 10 million image database for scene recognition,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.800538Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:d32202e345f659407cddc591abb68d4c070b0d9653a37b1795768babaf7e5d5a","observation_id":"1074a037-4549-4a7a-9d91-40b083187710","resolution":{"observed_at":"2026-08-06T23:20:12.800538Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:12.904947Z","title":"Deep learning face attributes in the wild,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:12.904947Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:2818f4c07618aeb391eb9406dcc7f15528f606c6ecb9e44556dc1daa072bf150","observation_id":"bf0f878b-8106-4ac5-b883-50a3f73cfdd1","resolution":{"observed_at":"2026-08-06T23:20:12.904947Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:13.007161Z","title":"Cmt: Convolutional neural networks meet vision transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:13.007161Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:eadc20ed36ee8c345b4803ffb56371bd5b3fcf5d3ede0101cda0a9abe13e94f7","observation_id":"876c2608-305b-4e61-a879-711d3ba4ca4e","resolution":{"observed_at":"2026-08-06T23:20:13.007161Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:13.068326Z","title":"Repaint: Inpainting using denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:13.068326Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:cc242f673087898df2ee6e6563289f080e25c249f96073b4a54a6818887e1005","observation_id":"96b1d8f5-4ff0-433a-b5b8-5bd8ceb2a6ed","resolution":{"observed_at":"2026-08-06T23:20:13.068326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.11699","snapshot_observed_at":"2026-08-06T23:20:13.134106Z","title":"Image restoration with mean-reverting stochastic differential equations,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:13.134106Z"},"links":{"cited_paper":"/paper/2301.11699","citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:7d2a6234c90334039acf58a9941d95fb1ff3b703ff7d89a390e8609e0856f2e4","observation_id":"3df74519-81d3-495d-b51b-201d03c72ddc","resolution":{"observed_at":"2026-08-06T23:20:13.134106Z","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":"2026-08-06T23:20:13.501429Z","title":"Structure matters: Tackling the semantic discrepancy in diffusion models for image inpaint- ing,","venue":null,"work_id":"2ec8208c-1c32-460a-ad1d-14fbca77a8df","year":2024},"citing_paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:13.202843Z"},"links":{"citing_paper":"/paper/2506.18437"},"observation_digest":"sha256:3c30cf25765a7d2a75232b5b95198b01c94f9fd227c7a9a4dc35e2e8c44b2492","observation_id":"6e1c0a65-c20d-4de6-a3a5-7e7cf83283ae","resolution":{"observed_at":"2026-08-06T23:20:13.554243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.18437","last_updated":"2025-06-23T09:19:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T14:26:37.562854Z","submitted_at":"2025-06-23T09:19:04Z","title":"Frequency-Domain Fusion Transformer for Image Inpainting"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":27},"total_outbound_references":45},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2506.18437."}