{"as_of":"2026-08-17T17:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6830f33de2094ac1bb99a2caf2a0b75e9e4892fbca46a03b7a5c6c56a5fc1f8a","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:43:50.912647Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2607.21032/citation-record","integrity":"/paper/2607.21032/integrity","json":"/paper/2607.21032/citation-record.json","paper":"/paper/2607.21032"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:43:46.163660Z","title":"Cascaded partial decoder for fast and accurate salient object detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.163660Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:b74de1d820b3d1b6e1ed1a1d64fd76f264c211099a64e581fa7e8a92c69247af","observation_id":"a11669dd-f59f-4856-b1cf-78d6b74ec3d9","resolution":{"observed_at":"2026-08-01T08:43:46.163660Z","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":"2026-08-01T08:43:46.238794Z","title":"Multispectral fusion transformer network for rgb-thermal urban scene semantic seg- mentation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.238794Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:1cc61c2c2a3770748eb3cf753ac28fdedac5130ffb68862473b687b78526b71f","observation_id":"9e518ee2-9bcc-4165-ba89-55392caba47e","resolution":{"observed_at":"2026-08-01T08:43:46.238794Z","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":"2026-08-01T08:43:46.341508Z","title":"Position- aware relation learning for rgb-thermal salient object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.341508Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:42484aba274cd9056c37efac3db5f0793a576f00f8c5ebaf13f65081cb41e0a5","observation_id":"cd889f04-cc9f-47e6-a3c2-f1d1878539e9","resolution":{"observed_at":"2026-08-01T08:43:46.341508Z","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":"2026-08-01T08:43:46.447934Z","title":"Lsnet: Lightweight spatial boosting network for detecting salient objects in rgb-thermal images,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.447934Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:2af45c9553bc16016f741ac09ed118806bce149847e3b0197b2b2c0a7b60cac1","observation_id":"07a04024-2a29-4711-9240-6cac290dec47","resolution":{"observed_at":"2026-08-01T08:43:46.447934Z","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":"2026-08-01T08:43:46.561239Z","title":"Alignment-free rgbt salient object detection: Semantics-guided asymmetric correlation network and a unified benchmark,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.561239Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:c5690278c17a10499fb1fd0ac15ac0e306c0e54abc15bc66b78572b4e873072b","observation_id":"7d5a0eb6-3db8-4639-bc0a-fc8fae931a5d","resolution":{"observed_at":"2026-08-01T08:43:46.561239Z","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":"2026-08-01T08:43:46.660900Z","title":"Spectrum-driven mixed-frequency network for hyperspectral salient object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.660900Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:027ea7b1af231c9db425d2f0eef62802d954813ea8a4747f6cb564ffbee59f29","observation_id":"511f7dd4-6fdf-4023-a80b-57eef738e8b2","resolution":{"observed_at":"2026-08-01T08:43:46.660900Z","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":"2026-08-01T08:43:46.774511Z","title":"Spectral-wise implicit neural representation for hyperspectral image reconstruction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.774511Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:fe9386fb6dbf2d3408f4f6e4494a1e22c9f534759389c759ff9b8cc03c0824ac","observation_id":"bb96ede6-1467-4f5f-9ea4-ae86e2230502","resolution":{"observed_at":"2026-08-01T08:43:46.774511Z","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":"2026-08-01T08:43:46.881604Z","title":"Hyperspectral remote sensing images salient object detection: The first benchmark dataset and baseline,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.881604Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:3739d260a9efe3842e40cb5445268a0e6fe2b2d73412526199410ac8e46fd307","observation_id":"f0b04f34-3e29-4d16-b818-cf59de21c418","resolution":{"observed_at":"2026-08-01T08:43:46.881604Z","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":"2026-08-01T08:43:46.962584Z","title":"A lightweight fusion strategy with enhanced inter-layer feature correlation for small object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:46.962584Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:110cf59c3256b3398f909c5ae2302dc6444ba356d1fba2b9dd4c3e5952aa162e","observation_id":"77381ce4-d5ae-4ba5-840b-68c882c79761","resolution":{"observed_at":"2026-08-01T08:43:46.962584Z","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":"2026-08-01T08:43:47.080384Z","title":"Perceptive self-supervised learning network for noisy image watermark removal,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.080384Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:862e2999805a1fb45360400aa5820d8f515e45b715c6ae5551f7f08c083706b4","observation_id":"f1468abd-2b3d-48ad-bd1c-d867ed47c1d1","resolution":{"observed_at":"2026-08-01T08:43:47.080384Z","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":"2026-08-01T08:43:47.180803Z","title":"Spectrum-oriented point-supervised saliency detector for hyperspectral images,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.180803Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:23146dcfef03645a9391ee13ea2397f728236309e82e33fc1fa1b2e56e4de288","observation_id":"7f1911c5-1eb9-4a1c-8cd7-2cab4341124e","resolution":{"observed_at":"2026-08-01T08:43:47.180803Z","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":"2026-08-01T08:43:47.253909Z","title":"Salient object detection on hyperspectral images in wireless network using cnn and saliency optimization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.253909Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:62cbdb9a4b36b0dc32b463d03393f121020fcb30e98dddf55c7c8556a6f264f8","observation_id":"504e1bf9-e835-461e-9dfc-a46ddbdff9b6","resolution":{"observed_at":"2026-08-01T08:43:47.253909Z","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":"2026-08-01T08:43:47.396348Z","title":"Hsod-bit-v2: A challenging benchmark for hyperspectral salient object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.396348Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:dfb7ac0fd00cd9677832f9a969ebd430145316520f7cc00312bcc4cd55f852c2","observation_id":"d2eac416-8b99-40f5-85ea-709a0b3d01a7","resolution":{"observed_at":"2026-08-01T08:43:47.396348Z","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":"2026-08-01T08:43:47.506657Z","title":"Dmssn: Distilled mixed spectral–spatial network for hyperspectral salient object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.506657Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:e9da13b81635cebf76ee075583dc9d077dd94e9784c044d7e971cb416cddd28b","observation_id":"07b5ae83-5055-43ea-a9e8-7e4f3a859fcd","resolution":{"observed_at":"2026-08-01T08:43:47.506657Z","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":"2026-08-01T08:43:47.618960Z","title":"Salient object detection on hyperspectral images using features learned from unsupervised segmentation task,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.618960Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:125ac4d1de7a3403ff9887c7cf9291b6a6d9f60600b19f3f34ffa031d9829577","observation_id":"8c92e28d-728c-49ee-830a-ae41e1a10d88","resolution":{"observed_at":"2026-08-01T08:43:47.618960Z","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":"2026-08-01T08:43:47.717586Z","title":"Salient object detection: A discriminative regional feature integration approach,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.717586Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:b8b98615de05677c7749451499a461498afd9963acb14cba7552b6db44c189c6","observation_id":"c4a67369-c5b5-4aff-b136-6960a92552ad","resolution":{"observed_at":"2026-08-01T08:43:47.717586Z","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":"2026-08-01T08:43:47.830811Z","title":"A simple method for detecting salient regions,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.830811Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:0ce9b4a171393c54189b5f0318f496c26e760cc246e6534167c2f8bc0018a5eb","observation_id":"2e36a715-f0fe-4924-82bd-c5f285c862c9","resolution":{"observed_at":"2026-08-01T08:43:47.830811Z","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":"2026-08-01T08:43:47.922026Z","title":"Frequency-tuned salient region detection,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:47.922026Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:4dfe1fa2d353643aa69e9915074b2c69bc2512e630620ad32d872ed2402b5f65","observation_id":"87bb479b-2955-45d4-bec7-847584612168","resolution":{"observed_at":"2026-08-01T08:43:47.922026Z","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":"2026-08-01T08:43:48.039089Z","title":"Frequency-aware feature aggregation network with dual-task consistency for rgb-t salient object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.039089Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:25c660bfd2c3c10ecf42b95d7107e43d916fd17a0d19e4e010d4bcf094c98507","observation_id":"a508423a-878e-4f9d-9766-91cef015b508","resolution":{"observed_at":"2026-08-01T08:43:48.039089Z","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":"2026-08-01T08:43:48.124317Z","title":"A survey on deep learning fundamentals,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.124317Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:5ee7154c064a9fcb9c454c79729e69fd59808bdc3f8bb50896e68b08b2e45293","observation_id":"05add6f9-e580-4399-863c-99a67795c9ae","resolution":{"observed_at":"2026-08-01T08:43:48.124317Z","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":"2026-08-01T08:43:48.245805Z","title":"A tree- guided cnn for image super-resolution,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.245805Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:dc2ffe0947191b663282a679a68d870825a608fcb7a816cfb1f2f5a7235187d9","observation_id":"d27ea408-5e0a-4638-9fbb-65da23b99343","resolution":{"observed_at":"2026-08-01T08:43:48.245805Z","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":"2026-08-01T08:43:48.337856Z","title":"Multi-scale interactive network for salient object detection,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.337856Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:2f0f766e52a46632d7c166ffc6affa35d347a7e496e095a0735a9c0cc0f1f987","observation_id":"894af611-8480-49f2-9faf-fe0a762a16fa","resolution":{"observed_at":"2026-08-01T08:43:48.337856Z","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":"2026-08-01T08:43:48.433982Z","title":"R2net: Residual refinement network for salient object detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.433982Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:fd48dfdcc9c24d3ecef8c9119f52617bd4d9e540525840192fc95e4039c05853","observation_id":"48b2f61a-8535-4385-a8ba-681bad957776","resolution":{"observed_at":"2026-08-01T08:43:48.433982Z","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":"2026-08-01T08:43:48.518368Z","title":"Catnet: A cascaded and aggregated transformer network for rgb-d salient object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.518368Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:5294d63704b57a67c35af203d8346e06b10b4d0a47ecb96c022831c42dc3552e","observation_id":"7ca8e275-09e7-4b04-ac18-457cf1694b86","resolution":{"observed_at":"2026-08-01T08:43:48.518368Z","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":"2026-08-01T08:43:48.611984Z","title":"A model of saliency-based visual at- tention for rapid scene analysis,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.611984Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:fe6e97c02cf4584e343d18e13c35cd8c1d1e36177b0924d1eec11e88a8614210","observation_id":"306c3fee-0a0b-4a8b-8a70-ecdd6a349e3d","resolution":{"observed_at":"2026-08-01T08:43:48.611984Z","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":"2026-08-01T08:43:48.706410Z","title":"Salient object detection in hyperspectral imagery,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.706410Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:f3ec296fa984af89329323945bb439ca51078ae8922bfff201f9dba5c4ab6fd7","observation_id":"307f5a36-51fa-49ef-bd31-100b352dcc5b","resolution":{"observed_at":"2026-08-01T08:43:48.706410Z","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":"2026-08-01T08:43:48.764634Z","title":"Saliency for spectral image analysis,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.764634Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:1f308341c63bf2322ac45be3874b540a0fa07bcbadf153836178b10b05c5e4c5","observation_id":"eac66e2a-0e62-40ed-8517-21c4812a0906","resolution":{"observed_at":"2026-08-01T08:43:48.764634Z","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":"2026-08-01T08:43:48.888392Z","title":"Progressive attention guided recurrent network for salient object detection,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.888392Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:2e479b18c028d9aff893b4851dd066279c5322862e1bb910ebc2ebda9289c6e4","observation_id":"a2502eab-b70e-46e1-91b8-ac4148c54c44","resolution":{"observed_at":"2026-08-01T08:43:48.888392Z","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":"2026-08-01T08:43:48.988115Z","title":"Visual saliency transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:48.988115Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:10953e2dcc1d258b22243a8c759f1f1037f7a9138334feff521ca29a88664ba4","observation_id":"2a2ea83a-37eb-401e-9451-becf1550976b","resolution":{"observed_at":"2026-08-01T08:43:48.988115Z","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":"2026-08-01T08:43:49.068372Z","title":"Heterogeneous window transformer for image denoising,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.068372Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:a3b4fc539587049279393dfe7009b8ee5c4b1132201635d35662e1523bff8232","observation_id":"7813c502-b9e9-4be9-93a2-9b6184e46a43","resolution":{"observed_at":"2026-08-01T08:43:49.068372Z","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":"2026-08-01T08:43:49.129268Z","title":"Bi-directional progressive guidance network for rgb-d salient object detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.129268Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:c13d811e0c4f208d9bfec68c149443c6fc4dcae4dfcfec8bfd54d97c50b3e811","observation_id":"6d8ccd17-2c07-4fea-acf4-c7ccd84cf79b","resolution":{"observed_at":"2026-08-01T08:43:49.129268Z","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":"2026-08-01T08:43:49.205593Z","title":"Derivative analysis of hyperspectral data,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.205593Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:a809cf259777daf24672e11ee042c75e2e372c8a445a33975f8e363a48ab8bee","observation_id":"eb7c686e-3585-49d4-9b4d-afce988991b3","resolution":{"observed_at":"2026-08-01T08:43:49.205593Z","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":"2026-08-01T08:43:49.256752Z","title":"Wavelets for computationally efficient hy- perspectral derivative analysis,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.256752Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:4a454461c22430085b7c226b683bb2610ec835e118e1fdf29ccd4976af04e850","observation_id":"a7ffb306-4abb-43c4-8b2f-de2d02528bc9","resolution":{"observed_at":"2026-08-01T08:43:49.256752Z","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":"2026-08-01T08:43:49.338394Z","title":"Slic superpixels compared to state-of-the-art superpixel methods,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.338394Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:1e861c69b2cb3008bf00f92bbff092d09086fdef941cb017d066d64251ced23a","observation_id":"3ca1420f-eb87-4634-9f9a-05cd58cabf7d","resolution":{"observed_at":"2026-08-01T08:43:49.338394Z","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":"2026-08-01T08:43:49.424801Z","title":"Hyperspectral band selection via optimal neighborhood reconstruction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.424801Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:bd600f555feedae528ba44d267f4a23fa46025e7ccf1422cf452fe4cfd2241fa","observation_id":"36fc41ef-5367-4ace-8c48-d0aeb77662d6","resolution":{"observed_at":"2026-08-01T08:43:49.424801Z","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":"2026-08-01T08:43:49.519743Z","title":"Coordinate attention for efficient mobile network design,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.519743Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:3be6fe5f0f0b9d800cdc3f507ebb1b2b20063d332d49016561f4be25b7c60cbe","observation_id":"6e54bb7c-ee29-4fce-8a6a-bc554f3bb874","resolution":{"observed_at":"2026-08-01T08:43:49.519743Z","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":"2026-08-01T08:43:49.589476Z","title":"Basnet: Boundary-aware salient object detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.589476Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:b67860537b47ae6f041b7865931962a0e29bdd695c4eb86d10d6af1c29f90af0","observation_id":"506f4003-b733-4f0a-9ee5-da67d2e432c7","resolution":{"observed_at":"2026-08-01T08:43:49.589476Z","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":"2026-08-01T08:43:49.683266Z","title":"U2-net: Going deeper with nested u-structure for salient object detection,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.683266Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:b2475a7549ddcbf38c5e93dcd833b9cbfaed5b5dcffe92bb5c24d242cb45bc63","observation_id":"cdcc2696-41ba-4836-a77f-0f0b8f2e033f","resolution":{"observed_at":"2026-08-01T08:43:49.683266Z","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":"2026-08-01T08:43:49.765331Z","title":"Salient object detection via integrity learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.765331Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:8d6b77760a9ec0b145674f46d1b136f512560d46b758e15494bb58f1c93ffc3e","observation_id":"2bce22da-fa94-461c-96e3-cfbd8c88c8d9","resolution":{"observed_at":"2026-08-01T08:43:49.765331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04326","last_updated":"2024-08-08T09:09:37Z","snapshot_observed_at":"2026-08-17T05:51:15.963281Z","submitted_at":"2024-08-08T09:09:37Z","title":"Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04326","snapshot_observed_at":"2026-08-01T08:43:49.855591Z","title":"Multi-scale and detail-enhanced segment anything model for salient object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.855591Z"},"links":{"cited_paper":"/paper/2408.04326","citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:03e15cc13e7f394d266f872cb54fdcc6c94172c88ceca01955ead2a60d437710","observation_id":"c0427233-561e-4f53-a915-2109b61781e8","resolution":{"observed_at":"2026-08-01T08:43:49.855591Z","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":"2026-08-01T08:43:49.926129Z","title":"Towards a complete and detail-preserved salient object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:49.926129Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:6bf121333351133a3fb2da5f56ef91a5c7eb6cc1dbea1fe2889d1446e3e5714c","observation_id":"1a4ae8da-fc2a-451a-b44c-ae35e9964aaa","resolution":{"observed_at":"2026-08-01T08:43:49.926129Z","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":"2026-08-01T08:43:50.006523Z","title":"Admnet: Attention-guided densely multi-scale network for lightweight salient object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.006523Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:ee84226a09b6cada887dfb33402329af791bb1d5612385323f396b4d432db21b","observation_id":"43aea6da-e3d7-4d8d-80b4-eb9e220b4eee","resolution":{"observed_at":"2026-08-01T08:43:50.006523Z","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":"2026-08-01T08:43:50.102630Z","title":"Rapid salient object detection with difference convo- lutional neural networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.102630Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:9887969ac4dab2290cd0e54486758f15276b92929735d43a308bfde55414513e","observation_id":"7c9b4f2a-f6f8-4a30-a107-3b35e1bc1905","resolution":{"observed_at":"2026-08-01T08:43:50.102630Z","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":"2026-08-01T08:43:50.171329Z","title":"Generative transformer for accurate and reliable salient object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.171329Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:ce1a91d8f9be8ddf97f0b9f5cb59668cb387d49d750f6f31f06c06d911e983a1","observation_id":"801ada48-0f68-43fb-beea-d0bf2d9a562d","resolution":{"observed_at":"2026-08-01T08:43:50.171329Z","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":"2026-08-01T08:43:50.245295Z","title":"Hyperspectral image dataset for benchmarking on salient object detection,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.245295Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:5441fd9b7cbaca5eab27ce3e874084ffc6980ce1f33c80f333089c367e9b7168","observation_id":"ddc29e3c-430d-4b90-8414-c12edbe42a6b","resolution":{"observed_at":"2026-08-01T08:43:50.245295Z","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":"2026-08-01T08:43:50.320361Z","title":"Delving into cal- ibrated depth for accurate rgb-d salient object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.320361Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:b8d85a86dfb4f7b0dd9a9845290218baf090238cf6a897e533e01688b7db6a09","observation_id":"89b47d98-c9b1-4e0d-8df9-8df56fc43b9b","resolution":{"observed_at":"2026-08-01T08:43:50.320361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-01T08:43:50.385569Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.385569Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:cfc8cc443569e92fa723429a3d1d19143e31bf7012557b8def72d1764e6e4209","observation_id":"6b4c8db7-2e15-4ae9-a4d9-7f31e8a9313e","resolution":{"observed_at":"2026-08-01T08:43:50.385569Z","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":"2026-08-01T08:43:50.465125Z","title":"Rgb-t saliency detection benchmark: Dataset, baselines, analysis and a novel approach,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.465125Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:800e2c7b1ee5297c2f6383e9177b791d127d3699a47b045978d6ca08d09eec68","observation_id":"4f2ef937-e75e-4fcb-9122-ad0fb3197118","resolution":{"observed_at":"2026-08-01T08:43:50.465125Z","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":"2026-08-01T08:43:50.530488Z","title":"Weakly alignment-free rgbt salient object detection with deep correlation network,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.530488Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:06c8e782a381b01fd52c133fced2370db373e772f549e584c6a9304328174c99","observation_id":"fde0bf64-472c-46ed-b87e-8f855ae4fcaa","resolution":{"observed_at":"2026-08-01T08:43:50.530488Z","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":"2026-08-01T08:43:50.607351Z","title":"Caver: Cross-modal view- mixed transformer for bi-modal salient object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.607351Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:28b4627c64852b1a720adc783467e524363f10609d47bd5e0b6c556fe369c323","observation_id":"43e3801d-6999-4816-a744-b01f1584257d","resolution":{"observed_at":"2026-08-01T08:43:50.607351Z","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":"2026-08-01T08:43:50.666300Z","title":"Learning adaptive fusion bank for multi-modal salient object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.666300Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:cc2697742a03854d819268828c0eaa5c621e17911d1eb5eff2a80001589f61f0","observation_id":"bbaae490-8c9f-404a-8130-c7def691f69c","resolution":{"observed_at":"2026-08-01T08:43:50.666300Z","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":"2026-08-01T08:43:50.759886Z","title":"Cbam: Convolutional block attention module,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.759886Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:49140e5d9730813f2ff3f4a439e45e6c97e0db3b2ca8f169e2ff2799c83203c7","observation_id":"3fb3718a-2dea-4f4e-bb05-5fc3094c8ba0","resolution":{"observed_at":"2026-08-01T08:43:50.759886Z","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":"2026-08-01T08:43:50.826095Z","title":"Does thermal really always matter for rgb-t salient object detection?","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.826095Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:cebc98ac023e3d12de83fc1f45c7da6f71fd1aee918d1b5a4c4a1657ff0440d5","observation_id":"ed156a91-058b-44f8-8b5e-607596953afe","resolution":{"observed_at":"2026-08-01T08:43:50.826095Z","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":"2026-08-01T08:43:50.912647Z","title":"degree in control science and engineering with the Col- lege of Control Science and Engineering, Zhejiang University, Hangzhou, China","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T08:43:50.912647Z"},"links":{"citing_paper":"/paper/2607.21032"},"observation_digest":"sha256:5e5a70f5a5d2532099a3b3d64d45b5de1cff81be9a7787ff34afb9599319a2bc","observation_id":"91311666-42a3-46df-b996-5781fc48655e","resolution":{"observed_at":"2026-08-01T08:43:50.912647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21032","last_updated":"2026-07-23T08:14:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T14:00:22.376872Z","submitted_at":"2026-07-23T08:14:32Z","title":"Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":54,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":54},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.21032."}