{"as_of":"2026-08-19T22:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5be82669b79682f59cce4e43ebada2f577339ae57845422c322db6741aa5d9a3","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T09:47:24.456210Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2601.12507/citation-record","integrity":"/paper/2601.12507/integrity","json":"/paper/2601.12507/citation-record.json","paper":"/paper/2601.12507"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T09:47:17.933179Z","title":"Small object detection: A comprehensive survey on challenges, techniques and real-world applications,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:17.933179Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:467e285f1f0e3ff2ed3a977fc73fa842d4fa27d507b7c2135748687e39f9f43a","observation_id":"aee1e14d-c4ab-4ca3-8445-c50dc493b775","resolution":{"observed_at":"2026-08-03T09:47:17.933179Z","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":"2026-08-03T09:47:18.070041Z","title":"Remote sensing object detection in the deep learning era—a review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:18.070041Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:796484685d5771b4e8a7adb0e546ea07ac4b252c5d425f13edbd9c72e3eeb45c","observation_id":"9e62f5cf-3a1a-490b-8d54-f0e13dea9abd","resolution":{"observed_at":"2026-08-03T09:47:18.070041Z","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":"2026-08-03T09:47:18.231234Z","title":"A review of deep-learning-based super-resolution: From methods to applications,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:18.231234Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:48b3114501db04b67d13ad3224a9d564fecd44500695bde1fbd2c13b92581393","observation_id":"cbbea9f9-e495-4d1e-9536-d45ce9575e90","resolution":{"observed_at":"2026-08-03T09:47:18.231234Z","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":"2026-08-03T09:47:18.414430Z","title":"Image super- resolution: A comprehensive review, recent trends, challenges and ap- plications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:18.414430Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:79ffdfe02774b8a99635a69d0068c90831b2b74f23652653ee0c7a228179bc6e","observation_id":"62464244-8760-49e4-9e68-55c86109702f","resolution":{"observed_at":"2026-08-03T09:47:18.414430Z","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":"2026-08-03T09:47:18.552060Z","title":"Lightweight remote sensing super-resolution with multi-scale graph attention network,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:18.552060Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:1ce287d45ab26c176057adeb3aacca51814e61a1f230fa7bbf17184c549d7fcf","observation_id":"f352cd17-2ce3-4b2a-adf3-76ef1e57f680","resolution":{"observed_at":"2026-08-03T09:47:18.552060Z","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":"2026-08-03T09:47:18.748335Z","title":"A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:18.748335Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:491c4ec5de6f172dac3eb60929be402f021f3b2504bba1e09bbcf362df96e449","observation_id":"384a6df7-27ba-42c5-85e5-fa65a447c4a9","resolution":{"observed_at":"2026-08-03T09:47:18.748335Z","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":"2026-08-03T09:47:18.965379Z","title":"Task-driven super res- olution: Object detection in low-resolution images,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:18.965379Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:43bed6e41ce6779df70d60cc5e97b33d6597d8dec6c187df7a238c74a71d5f0d","observation_id":"63168c70-8e2b-4f0a-b74f-c22dd96840c2","resolution":{"observed_at":"2026-08-03T09:47:18.965379Z","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":"2026-08-03T09:47:19.102206Z","title":"Distilling knowledge from super-resolution for efficient remote sensing salient object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.102206Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:715faee2b0620ded33c606d7b648214455298649eb61d5dd5cbd352166f061ad","observation_id":"9ded6c7c-a221-4b56-a7df-b454645c83d4","resolution":{"observed_at":"2026-08-03T09:47:19.102206Z","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":"2026-08-03T09:47:19.219202Z","title":"Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.219202Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:0069f7de36812a973a031ed7f736e2e3391f4af1e4a2b2d19937738938a40382","observation_id":"6a9570e9-4673-4ee1-8c2f-070efc43e038","resolution":{"observed_at":"2026-08-03T09:47:19.219202Z","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":"2026-08-03T09:47:19.374928Z","title":"Beyond image super-resolution for image recognition with task-driven perceptual loss,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.374928Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:d113d4d3910387747f1737cc52286b08ee8f0a1c660de011f0d507278a080010","observation_id":"1bc7b4f7-3d52-433d-8842-49200eccec2c","resolution":{"observed_at":"2026-08-03T09:47:19.374928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12329","last_updated":"2022-03-30T16:04:38Z","snapshot_observed_at":"2026-08-16T17:25:09.013446Z","submitted_at":"2022-01-28T18:51:09Z","title":"DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12329","snapshot_observed_at":"2026-08-03T09:47:19.527401Z","title":"Dab-detr: Dynamic anchor boxes are better queries for detr. arxiv 2022,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.527401Z"},"links":{"cited_paper":"/paper/2201.12329","citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:9934306610fba16d3c1bbe77dee3837828e71087fabecf26d64fe78445b5ce7c","observation_id":"30b4afb3-0c75-4f81-9b27-3285b6d7c291","resolution":{"observed_at":"2026-08-03T09:47:19.527401Z","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":"2026-08-03T09:47:19.635040Z","title":"Dn-detr: Accelerate detr training by introducing query denoising,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.635040Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:8455000f51952d7f654c0f5b473416f58235b1119deec2f561592e15499c994e","observation_id":"8747461a-3f9a-4034-9039-715402ce0b5b","resolution":{"observed_at":"2026-08-03T09:47:19.635040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.04159","last_updated":"2021-03-18T03:14:26Z","snapshot_observed_at":"2026-08-13T17:54:01.724774Z","submitted_at":"2020-10-08T17:59:21Z","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.04159","snapshot_observed_at":"2026-08-03T09:47:19.743320Z","title":"Deformable detr: Deformable transformers for end-to-end object detection,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.743320Z"},"links":{"cited_paper":"/paper/2010.04159","citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:9785be59e4d38bcce712ca6c4184d9b5048f0612fee55d30563446de8b4bf88c","observation_id":"e4b274b8-1b5f-4464-a412-b1e573bae703","resolution":{"observed_at":"2026-08-03T09:47:19.743320Z","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":"2026-08-03T09:47:19.876990Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:19.876990Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:78331b2efa80d2b35deeb12b76a78595eeeda1a1fd4dd1897a6857a1183f7ac2","observation_id":"c9d210c0-3fca-4fee-b202-f7376e092fc0","resolution":{"observed_at":"2026-08-03T09:47:19.876990Z","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":"2026-08-03T09:47:20.017664Z","title":"Yolo9000: Better, faster, stronger,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.017664Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:7d63c52abb2875f680a2c8df6cf39888bc87bc7ca6751fd7dfc5c0a74db08f3e","observation_id":"6183e85e-2ec2-42c5-9817-5170a4f18b58","resolution":{"observed_at":"2026-08-03T09:47:20.017664Z","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":"2026-08-03T09:47:20.143919Z","title":"Ffca-yolo for small object detection in remote sensing images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.143919Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:db047174b82c59569c4b9f5c566e32ef3bfd7b202f03e48704a186669f3855fd","observation_id":"2675df6b-053d-44bb-b8bf-8e5a67271a26","resolution":{"observed_at":"2026-08-03T09:47:20.143919Z","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":"2026-08-03T09:47:20.260130Z","title":"Lsodnet: A lightweight and efficient detector for small object detection in remote sensing images,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.260130Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:b62801703e8cdc04edc6f260c9d1753084ba563e88d3db13bd1691ee615fff63","observation_id":"762bfcca-a258-45c1-ad4c-6cc975725ac4","resolution":{"observed_at":"2026-08-03T09:47:20.260130Z","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":"2026-08-03T09:47:20.345103Z","title":"Drone-detr: Efficient small object detection for remote sensing image using enhanced rt-detr model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.345103Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:b0b08f9ca844dc236ca1531a806ce46685ad5894738b059dc18334929ca8ad01","observation_id":"5aa53241-82db-4769-92e0-fbcdb4727898","resolution":{"observed_at":"2026-08-03T09:47:20.345103Z","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":"2026-08-03T09:47:20.420628Z","title":"Rs-detr: An improved remote sensing object detection model based on rt-detr,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.420628Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:c441aea87923ec07964357ab22749de028624f5b07bbc9703b260be8fa414680","observation_id":"e153f055-a68e-4c83-82d3-0686e56ae0ac","resolution":{"observed_at":"2026-08-03T09:47:20.420628Z","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":"2026-08-03T09:47:20.510733Z","title":"Transformers in small object detection: A benchmark and survey of state-of-the-art,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.510733Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:7abd24ef5292fd9f67b4ae20eed890989554fe6ced68cec271fb46a2990f52b4","observation_id":"d9945e87-beb2-4720-a336-f75e8c90e549","resolution":{"observed_at":"2026-08-03T09:47:20.510733Z","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":"2026-08-03T09:47:20.659170Z","title":"Learning rotation-invariant convolu- tional neural networks for object detection in vhr optical remote sensing images,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.659170Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:b988c8ebf203d9dcf625fd68aa27a3385367eb1ca3e9442c2e9e5ba932b43e68","observation_id":"ad2b830c-89d7-42c1-b036-37ac504a28b6","resolution":{"observed_at":"2026-08-03T09:47:20.659170Z","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":"2026-08-03T09:47:20.794234Z","title":"Dota: A large-scale dataset for object detection in aerial images,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.794234Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:a3d3115d54fde24d7115cda81bc78851c7279e2c2420773467f273107410b77c","observation_id":"42f3fff7-e5d1-4956-8296-5f5bbcf447b3","resolution":{"observed_at":"2026-08-03T09:47:20.794234Z","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":"2026-08-03T09:47:20.934837Z","title":"Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:20.934837Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:4908bc26fea4f7b94b63e6866de3cc54b2f17fd45a89c959da6e2ccf2a44c7e9","observation_id":"f542cf19-f71f-44e2-bb67-c14d2821cf8a","resolution":{"observed_at":"2026-08-03T09:47:20.934837Z","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":"2026-08-03T09:47:21.095877Z","title":"Image super-resolution using deep convolutional networks,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:21.095877Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:01a43507e17f02d30e2cf7921c056737baf1fd360277b92c908e3d620b3fd75d","observation_id":"fbe38e17-4db2-47a1-8e30-34b081759cb8","resolution":{"observed_at":"2026-08-03T09:47:21.095877Z","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":"2026-08-03T09:47:21.229505Z","title":"Super-resolution for remote sensing images via local–global combined network,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:21.229505Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:8c624f63e5e5a64751fddc1aea15025814473ccaf3cef43671311b7544ff133c","observation_id":"4855d421-554c-4377-a245-1c84c8883c93","resolution":{"observed_at":"2026-08-03T09:47:21.229505Z","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":"2026-08-03T09:47:21.380090Z","title":"Deep distillation recursive network for remote sensing imagery super-resolution,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:21.380090Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:d644f43f66f5fe0a4df456c0f11ac6180c8f03008491e69d564ae34202133844","observation_id":"131052e8-7e1e-499d-a1c0-279e12350e2a","resolution":{"observed_at":"2026-08-03T09:47:21.380090Z","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":"2026-08-03T09:47:21.521767Z","title":"Edge-enhanced gan for remote sensing image superresolution,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:21.521767Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:74d42e1037d89b275df4a868c0c28dfa3ef6f8d367dc2eb95598cbf563ed9495","observation_id":"f77c8aec-f683-4545-9b99-5b174cc5e2f5","resolution":{"observed_at":"2026-08-03T09:47:21.521767Z","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":"2026-08-03T09:47:21.667590Z","title":"Hierarchical dense recursive network for image super-resolution,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:21.667590Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:a92f6c95f34a46347930901acbb0f98ebd76b7a6aceeae65ed6b17209c5ec75d","observation_id":"090350f2-3f42-494d-bfa9-1b80a4dc5ccb","resolution":{"observed_at":"2026-08-03T09:47:21.667590Z","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":"2026-08-03T09:47:21.852411Z","title":"From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:21.852411Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:abb5395d0782d13454e617a907b8d3cbb42b4b8ab61d34ca0935bbbe84b7c163","observation_id":"82882241-df2d-4fcc-91e5-2c1f192e3fea","resolution":{"observed_at":"2026-08-03T09:47:21.852411Z","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":"2026-08-03T09:47:22.016463Z","title":"Image super- resolution using very deep residual channel attention networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.016463Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:f81d6d38372fe648fb8791c26d2615a898212e3a6cc19954d53a7e6749b5829c","observation_id":"f7597791-393e-459d-b0a1-29ec51416f81","resolution":{"observed_at":"2026-08-03T09:47:22.016463Z","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":"2026-08-03T09:47:22.161944Z","title":"Single image super-resolution via a holistic attention network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.161944Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:c46343a050ace49d5fd8a55b52ff516a784e8946085d15c890dc672f8e81788f","observation_id":"229a964e-0b49-4f96-b74c-f8462af1103b","resolution":{"observed_at":"2026-08-03T09:47:22.161944Z","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":"2026-08-03T09:47:22.335880Z","title":"Hybrid-scale self-similarity exploitation for remote sensing image super-resolution,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.335880Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:4356df93968d6e9d084b0874c318a126b0957f3e0f5b1f2ad86cccd73798e6f4","observation_id":"ca6778b7-8d1b-4324-a539-1d8a809524b1","resolution":{"observed_at":"2026-08-03T09:47:22.335880Z","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":"2026-08-03T09:47:22.403343Z","title":"Image super-resolution with non- local sparse attention,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.403343Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:a48cee8349326dd5f9b6a0fc1d594aa1f2b3087235f8d9cbfd3c3eb32e1d6301","observation_id":"127cfa3c-e522-4957-83da-bd95a381d7b9","resolution":{"observed_at":"2026-08-03T09:47:22.403343Z","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":"2026-08-03T09:47:22.481559Z","title":"Task-agnostic vision transformer for distributed learning of image processing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.481559Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:bb1fff38c7ef5719ef83d1e871b942066e5fe058fad51fd194edc02e1e26df5b","observation_id":"1905dadd-141a-4dba-b673-b860f07785ee","resolution":{"observed_at":"2026-08-03T09:47:22.481559Z","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":"2026-08-03T09:47:22.567511Z","title":"Dster: A dense spectral transformer for remote sensing spectral super-resolution,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.567511Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:a8d2028ab6490e7a6d33258610f896d2e37a30f4bf2e15babd84f5e2e546c2b6","observation_id":"136fce7e-7d65-4d4a-aae4-c7d1f57a9981","resolution":{"observed_at":"2026-08-03T09:47:22.567511Z","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":"2026-08-03T09:47:22.687253Z","title":"Local-global temporal difference learning for satellite video super- resolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.687253Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:1f14c952de76873e108ccca0be1811ba843d4780ef26ee97f5245421740254d2","observation_id":"61474abb-2b86-4604-aa26-96b7e75b59b1","resolution":{"observed_at":"2026-08-03T09:47:22.687253Z","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":"2026-08-03T09:47:22.753268Z","title":"Swinir: Image restoration using swin transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.753268Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:c12895f4c02ee6190d94d469d3c92dd70f1ca5651f187910ea976cedd2475853","observation_id":"c05fea5f-58f0-4696-a47b-c653299723f2","resolution":{"observed_at":"2026-08-03T09:47:22.753268Z","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":"2026-08-03T09:47:22.838377Z","title":"Ttst: A top- k token selective transformer for remote sensing image super-resolution,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.838377Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:638a0cd4560a61730682575bdba9d753dcfc7d8ea480d6039679d95a6bbe1910","observation_id":"aa6a11e8-b831-49e7-8841-7461f73d4722","resolution":{"observed_at":"2026-08-03T09:47:22.838377Z","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":"2026-08-03T09:47:22.928848Z","title":"Efficient swin transformer for remote sensing image super-resolution,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:22.928848Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:3ed98579b38dafe4337ae453ab088b4632987f79a1cc2ed608b34facb0c91645","observation_id":"a1abb1f0-4068-4edb-96b8-41f197ac342a","resolution":{"observed_at":"2026-08-03T09:47:22.928848Z","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":"2026-08-03T09:47:23.015746Z","title":"Multi-scale object detection in remote sensing imagery with convolutional neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.015746Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:bd1cd476db8c28a1966a79e2639d35122707682ce0803cd4d441129cd08f5991","observation_id":"b9bfffca-81c4-443c-a4b8-3573244804ee","resolution":{"observed_at":"2026-08-03T09:47:23.015746Z","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":"2026-08-03T09:47:23.130010Z","title":"Fsanet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.130010Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:860ef0a158c4d0ee73f35004ac1b140685d8740041fbbd213ae616c88ec46cf4","observation_id":"5589d965-3c2e-415d-be93-e19519cc41ac","resolution":{"observed_at":"2026-08-03T09:47:23.130010Z","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":"2026-08-03T09:47:23.227122Z","title":"Feature-enhanced centernet for small object detection in remote sensing images,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.227122Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:ff6ea1251aa4182c66d52e2d7dc3321afd0ea661cb8b02d93cfcb32fe3a0555c","observation_id":"e6fc100e-16dc-4856-9e98-84a478bbbb04","resolution":{"observed_at":"2026-08-03T09:47:23.227122Z","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":"2026-08-03T09:47:23.307835Z","title":"Legnet: A lightweight edge-gaussian network for low-quality remote sensing image object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.307835Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:b6c7a269aee00b655d2815d8da308f6a6a520cface48ae5999ff2c9cb6c7b074","observation_id":"20baa731-e3af-47cb-ba3f-b24559a2132c","resolution":{"observed_at":"2026-08-03T09:47:23.307835Z","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":"2026-08-03T09:47:23.402731Z","title":"Pr-deformable detr: Detr for remote sensing object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.402731Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:e00e497437ea98f89b77b0385b49cb231d64e1c0ce3662e49c64bb77a26d3040","observation_id":"e5f2db6d-2777-4382-9894-1894e02d1a0a","resolution":{"observed_at":"2026-08-03T09:47:23.402731Z","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":"2026-08-03T09:47:23.488958Z","title":"The effects of super-resolution on object detection performance in satellite imagery,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.488958Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:c0619d946f5c62bd383cf97c8f51f8fd968e6a56b679c38626d2ffa175db9d04","observation_id":"ef243698-be28-4dd9-a4e1-214ae7a898a4","resolution":{"observed_at":"2026-08-03T09:47:23.488958Z","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":"2026-08-03T09:47:23.578271Z","title":"Vehicle detection in remote sensing images leveraging on simultaneous super-resolution,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.578271Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:8e795365c73779efbd6b48040f425a120f0b27e02dd2daafb0b8d73cc8710b21","observation_id":"0a863f3e-832f-4f63-9ff5-428099a9d8e6","resolution":{"observed_at":"2026-08-03T09:47:23.578271Z","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":"2026-08-03T09:47:23.671305Z","title":"From point to region: Accurate and efficient hierarchical small object detection in low-resolution remote sensing images,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.671305Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:ba69f86acc6e4bc72ca13a40aed8b4cfabf3d018a683f98a65d247882ec4fe13","observation_id":"6787664e-31ee-429b-8214-3951512cebb8","resolution":{"observed_at":"2026-08-03T09:47:23.671305Z","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":"2026-08-03T09:47:23.731801Z","title":"Dino: Detr with improved denoising anchor boxes for end-to- end object detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.731801Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:b567dafffa2bf820e9d3f039ba41f81ee6c5917813412d951289913dc35f79fc","observation_id":"1f8403f3-ddef-42b3-b1c4-1fa5bb8ada54","resolution":{"observed_at":"2026-08-03T09:47:23.731801Z","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":"2026-08-03T09:47:23.821084Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.821084Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:5ff414d94107a4eaab10c5ecff2fc753efe35715c4eaa091e4b58c4bb01550a7","observation_id":"1be23326-e40f-4b3a-94f0-3d8300824901","resolution":{"observed_at":"2026-08-03T09:47:23.821084Z","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":"2026-08-03T09:47:23.899190Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.899190Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:98d5d255325c874b7a2ef6a330de66216500f19e143f97df662c79cf50ec312a","observation_id":"cbe695af-2f1a-4a5d-a8c4-f79abd63a67f","resolution":{"observed_at":"2026-08-03T09:47:23.899190Z","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":"2026-08-03T09:47:23.991092Z","title":"Focal loss for dense object detection,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:23.991092Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:98a51fe8844903cc85696755a455a6c1fea98b8dc39ec15af2962e414025d19d","observation_id":"757963d2-698e-47cc-82b1-335a7416c530","resolution":{"observed_at":"2026-08-03T09:47:23.991092Z","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":"2026-08-03T09:47:24.086161Z","title":"Cascade r-cnn: Delving into high quality object detection,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:24.086161Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:9cd6ed32f4fa025888bae9599135122e48377a01635f12f4e8ac23e42295c458","observation_id":"1289fed8-666a-4d60-b2f5-fe9d0f5cf61f","resolution":{"observed_at":"2026-08-03T09:47:24.086161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.08430","last_updated":"2021-08-06T03:22:14Z","snapshot_observed_at":"2026-08-19T15:19:25.831687Z","submitted_at":"2021-07-18T12:55:11Z","title":"YOLOX: Exceeding YOLO Series in 2021","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.08430","snapshot_observed_at":"2026-08-03T09:47:24.168884Z","title":"Yolox: Exceeding yolo series in 2021,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:24.168884Z"},"links":{"cited_paper":"/paper/2107.08430","citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:2d4cd9fcc06ec4ba4fd99c38d758c839359747307fee5c34f8440df01343d75f","observation_id":"df8a4362-260b-4477-9539-a393aab0a9e7","resolution":{"observed_at":"2026-08-03T09:47:24.168884Z","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":"2026-08-03T09:47:24.262159Z","title":"Sparse r-cnn: An end-to-end framework for object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:24.262159Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:150e6acd931d6a9eb913f9347d69b955dd0c37022813b6c2fceea9123f762838","observation_id":"3bb8cb1b-336b-4f8b-a02c-9d83c393ad92","resolution":{"observed_at":"2026-08-03T09:47:24.262159Z","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":"2026-08-03T09:47:24.365947Z","title":"Fsanet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:24.365947Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:ec826ae4e8d4a6a58f96f8c5c4362877ef8719831bcddd04d74881db0e488c58","observation_id":"92e953f0-392e-486e-bf46-8422f9469258","resolution":{"observed_at":"2026-08-03T09:47:24.365947Z","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":"2026-08-03T09:47:24.456210Z","title":"Superyolo: Super resolution assisted object detection in multimodal remote sensing im- agery,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T09:47:24.456210Z"},"links":{"citing_paper":"/paper/2601.12507"},"observation_digest":"sha256:be77781d3e9637aedf351d587d6bdd3dac9ead187c83039fb2bbd35382c43e4f","observation_id":"5277088b-cbf8-4557-bb06-e6726c7ae431","resolution":{"observed_at":"2026-08-03T09:47:24.456210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.12507","last_updated":"2026-06-27T08:39:34Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T19:58:01.925057Z","submitted_at":"2026-01-18T17:36:48Z","title":"CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":56,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":56},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2601.12507."}