{"as_of":"2026-08-09T18:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e4d057ed6989268774cf7011843ab2b501f4e967398dd19ad6fde29ba5d7f1b","coverage":[{"denominator":87,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":87,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:36:51.759026Z","state":"measured"},{"denominator":87,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":87,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2508.21135/citation-record","integrity":"/paper/2508.21135/integrity","json":"/paper/2508.21135/citation-record.json","paper":"/paper/2508.21135"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:46.716901Z","title":"Object detection in 20 years: A survey,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:46.716901Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:dd84bdcea164e9c5fa43deec1e0b07ced9178307cf010fe9c96697e86eec3bce","observation_id":"9607d08f-01e7-4649-8962-cd24f292baea","resolution":{"observed_at":"2026-08-05T14:36:46.716901Z","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":"2312.17505","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:52.350138Z","title":"Leveraging open-vocabulary diffusion to camouflaged instance segmentation,","venue":null,"work_id":"4035b2cd-f2af-47da-b731-08929272f00a","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:46.739792Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:7f855a62ba139d330f36f357a1cefcc8ee5661051f2127834312e8a1ca500a54","observation_id":"adcd9699-1970-44b9-9a28-58a35952275b","resolution":{"observed_at":"2026-08-05T14:36:52.405713Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:46.801379Z","title":"Transcues: Boundary and reflection-empowered pyramid vision transformer for semantic transparent object segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:46.801379Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:b00632d383f4bfad8058e1efc37817337124a9125cfceef563aa5a346daf3316","observation_id":"525c974c-8543-456f-ab8e-0e419f2ba8d7","resolution":{"observed_at":"2026-08-05T14:36:46.801379Z","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":"2026-08-05T14:36:46.868551Z","title":"Thermal imaging system and its real-time applications: a survey,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:46.868551Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:41f292536f9ad6750e48073e196892e82574c8b010bfa58b19512024309fc2d1","observation_id":"ca38db8d-a77c-4562-af1e-cb4d049dd8c7","resolution":{"observed_at":"2026-08-05T14:36:46.868551Z","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":"2026-08-05T14:36:46.937455Z","title":"A survey on rgb-d datasets,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:46.937455Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:19b906a5e35fec883ae62f86796a35c1e5f50a090a1c54b4e3dc8361a7317b55","observation_id":"5119566b-fe49-46c0-8e59-c3d01429548f","resolution":{"observed_at":"2026-08-05T14:36:46.937455Z","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":"2026-08-05T14:36:46.984519Z","title":"Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:46.984519Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:749e2c9fc30fdbe6eb01e3c58fdfc86ef498d651e67af3f161a616e95cd760e7","observation_id":"8931c636-6441-4994-ae9c-bd9d4ccdad2f","resolution":{"observed_at":"2026-08-05T14:36:46.984519Z","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":"2026-08-05T14:36:47.034815Z","title":"Multimodal dataset for localization, mapping and crop monitoring in citrus tree farms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.034815Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:01e9834d6eaba08d9259ae8ef9ce348e51c1816c7abf19a20df97d5c6b7c167f","observation_id":"faf0c47f-2291-4ba9-90ae-939889d65e15","resolution":{"observed_at":"2026-08-05T14:36:47.034815Z","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":"2026-08-05T14:36:47.072522Z","title":"Depth- aware concealed crop detection in dense agricultural scenes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.072522Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:831d0c568e0e93805288c6347b9612b2833f988f79aba4d7cda0e07ec8a72af8","observation_id":"7328fb01-e674-4458-9124-26f2787dac53","resolution":{"observed_at":"2026-08-05T14:36:47.072522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.092464Z","title":"Citdet: A benchmark dataset for citrus fruit detection,","venue":null,"work_id":"7289ac53-51c1-4a98-9e90-4a13ab476337","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.127574Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:a7eeca879f7fa2a290154451241b31dd6d6814b4cdccfc34c8f7d9336842a4d3","observation_id":"6dd4320d-5403-45f2-9da4-4fbb61b0e1b3","resolution":{"observed_at":"2026-08-05T14:36:58.095256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.085467Z","title":"Multi-modal fusion trans- former for end-to-end autonomous driving,","venue":null,"work_id":"1a8ca567-d758-4aa1-a3f8-77f214c131a9","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.196425Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:c5a9f798d71db77731666d9d14479e777e370736d36d883c21988cb20e4dc2f8","observation_id":"668e9789-8347-4f4f-8e6a-7d6f85f2dc03","resolution":{"observed_at":"2026-08-05T14:36:58.087750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.078253Z","title":"Multi-level fusion for robust rgbt tracking via enhanced thermal representation,","venue":null,"work_id":"e310368d-15ef-4c46-9152-00dab142bce4","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.268943Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:e5bc6598854efe188a0be651aa11e98bc8d2e515e2e13f71bcb9069f5f175b38","observation_id":"147373bf-c40a-4b28-afca-37c41760ed2c","resolution":{"observed_at":"2026-08-05T14:36:58.080760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.070027Z","title":"Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,","venue":null,"work_id":"35b41f0a-c997-47b8-af11-db2262cbaf31","year":2017},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.316410Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:a785125aed6e92359a1b440f09f426024455e0fb566b46fed8e23e5f8b463559","observation_id":"435cb975-dff5-41ef-8dd5-cdb83918b1e8","resolution":{"observed_at":"2026-08-05T14:36:58.072924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.063063Z","title":"Rtfnet: Rgb-thermal fusion network for semantic segmentation of urban scenes,","venue":null,"work_id":"1de199f2-f29f-413d-b8d7-9651d8d41bb8","year":2019},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.349578Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:bbbec05b06e24de403fcbd108091ffabd9669b1b6e23e095f41c063fc157d298","observation_id":"0c0b5c17-76e4-4c36-b1a5-d08f3c05d734","resolution":{"observed_at":"2026-08-05T14:36:58.065536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.055649Z","title":"Pst900: Rgb-thermal calibration, dataset and segmentation network,","venue":null,"work_id":"c3eaad81-0caf-486e-9f37-f817cdaa42cf","year":2019},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.434063Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:2a103862cfd8b8b77b6afa353fbc231730e679ce8670938162f2dd4a3952fd05","observation_id":"34bcd227-9ffa-4302-8fea-1af7be236cd0","resolution":{"observed_at":"2026-08-05T14:36:58.058305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.048589Z","title":"Fruity: A multi-modal dataset for fruit recognition and 6D-Pose estimation in precision agriculture,","venue":null,"work_id":"e56f6a75-9698-4cdf-bbb6-c748604d0392","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.502805Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:65ddbbf766cd7e75803b81335d5fb1ff14a5768c4175a033b58ab7597a93012a","observation_id":"7c3ebdd6-6a2e-4857-864c-4bc9307ad384","resolution":{"observed_at":"2026-08-05T14:36:58.051159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.041189Z","title":"Firestereo: Forest infrared stereo dataset for uas depth perception in visually degraded environments,","venue":null,"work_id":"5f25a6fa-2657-45c2-8c0f-2754216c5e8a","year":2025},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.589844Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:4b7db485497c52a35296b2cea8b4c75e4c9c3887d500ecd2d01b59bacdff076d","observation_id":"332dc5b6-4f4b-4497-9ec9-2e66bab8913b","resolution":{"observed_at":"2026-08-05T14:36:58.044018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.034414Z","title":"Caltech aerial rgb-thermal dataset in the wild,","venue":null,"work_id":"8a43f606-34a2-4d7d-be33-89abf33c70e6","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.629540Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:655c0fb059bee9f677242e0d6e123feeb57212d67fd35d7ed64cc4008696f2ca","observation_id":"0856d47f-6303-4e0d-a831-356394aa2d13","resolution":{"observed_at":"2026-08-05T14:36:58.036809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.027435Z","title":"End-to-end object detection with transformers,","venue":null,"work_id":"eeaf871c-52e4-4cf3-a0ea-5f1a9f7d6ab7","year":2020},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.671406Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:50122c433f81115b1dc6c5524d046815e95cb722934a337f619170c1288b2b57","observation_id":"c8d7aaaf-2d31-4916-a092-356d474202ef","resolution":{"observed_at":"2026-08-05T14:36:58.029882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.019281Z","title":"Deformable {detr}: Deformable transformers for end-to-end object detection,","venue":null,"work_id":"e68ab669-f018-4a70-b0d3-f0055e8ed51a","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.729866Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:ed8277f4e77991902fd8e7cab579caa67e3fbf0b41ef984e7525a2c41f408a28","observation_id":"d2a8dc53-b043-4bf3-84e8-f8f04713686f","resolution":{"observed_at":"2026-08-05T14:36:58.021851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.012070Z","title":"Conditional detr for fast training convergence,","venue":null,"work_id":"729a53c4-1e5d-41a6-ae39-565aa109d2cf","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.841311Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:3ea7af9b61c0084100a14106f13c3a054a5d26094870bfc4a69f7d2a7eb3be3d","observation_id":"fd27fcf7-5e71-4893-896e-ff39772f2c40","resolution":{"observed_at":"2026-08-05T14:36:58.014716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.01318","last_updated":"2021-04-03T06:14:24Z","snapshot_observed_at":"2026-07-06T10:56:13.719183Z","submitted_at":"2021-04-03T06:14:24Z","title":"Efficient DETR: Improving End-to-End Object Detector with Dense Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.01318","snapshot_observed_at":"2026-08-05T14:36:47.910444Z","title":"Efficient detr: Improv- ing end-to-end object detector with dense prior,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.910444Z"},"links":{"cited_paper":"/paper/2104.01318","citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:4c05d025cfc2f5c1752e8e4ebaa664bca3b47de547ee339839e9c5b16eb30317","observation_id":"da6b9f6f-5579-4620-be3a-98d12e5a24f1","resolution":{"observed_at":"2026-08-05T14:36:47.910444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:58.004839Z","title":"DAB-DETR: Dynamic anchor boxes are better queries for DETR,","venue":null,"work_id":"2bba0991-5e1b-48a4-8ecc-e760f56b3018","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.946808Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:d60c8d059f12e162ab349ece9585cc391a8f51995bff47b75148c29b6a5e2925","observation_id":"ab920383-afda-42f0-a9cc-c1b03c3054ca","resolution":{"observed_at":"2026-08-05T14:36:58.007273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.997020Z","title":"Dn- detr: Accelerate detr training by introducing query denoising,","venue":null,"work_id":"cf7b7896-a2bd-49f3-947c-b525654909fa","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:47.979206Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:2fa3c6325abbadcb20795b3e2ce0d72cfdeb353bc41bcab894fb50bcbc74757b","observation_id":"d798751b-faa3-4743-bd32-5b0292f3a7ca","resolution":{"observed_at":"2026-08-05T14:36:57.999567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.989564Z","title":"DINO: DETR with improved denoising anchor boxes for end-to-end object detection,","venue":null,"work_id":"c8faacce-af6c-43ea-9e77-88dc049227b0","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.038801Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:8c6ae90d62dd06d08d7c300011a702053aa74cec847cec0b5771d601f7d1b4af","observation_id":"104e48f7-be1a-40f9-95dd-1fb9e8edafe4","resolution":{"observed_at":"2026-08-05T14:36:57.992208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.982345Z","title":"Detrs beat yolos on real-time object detection,","venue":null,"work_id":"78b74c09-88f6-43c8-b0f1-b7626cf233f5","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.101357Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:5550c6e31f92db30a4028ee7c1c9ed89f8a165e3708896c7c430d54d2b7a6b8c","observation_id":"2556f6e5-a7f7-4b69-ae03-786bb692f89a","resolution":{"observed_at":"2026-08-05T14:36:57.984928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17140","last_updated":"2024-07-24T10:20:19Z","snapshot_observed_at":"2026-08-05T11:44:13.116614Z","submitted_at":"2024-07-24T10:20:19Z","title":"RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17140","snapshot_observed_at":"2026-08-05T14:36:48.162255Z","title":"Rt-detrv2: Improved baseline with bag-of-freebies for real-time detection transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.162255Z"},"links":{"cited_paper":"/paper/2407.17140","citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:254872c32612a0571c4338ea08c94b166514ca3afaa82aa8f2ece47eee3e3c9f","observation_id":"a01abbb8-188b-45d4-b45b-0d2f9057f6e1","resolution":{"observed_at":"2026-08-05T14:36:48.162255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.975095Z","title":"Mamba: Linear-time sequence modeling with selective state spaces,","venue":null,"work_id":"ff14ed08-3171-4cae-a988-c0679e9b4a04","year":null},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.222322Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:fe1282280ecc0988ca8b79f6804831ff8a120a4e3d6f357e77fb6206ac43919a","observation_id":"a7b3e691-aa21-4657-8ce1-e8523fe282bb","resolution":{"observed_at":"2026-08-05T14:36:57.977899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.967790Z","title":"Vision mamba: efficient visual representation learning with bidirectional state space model,","venue":null,"work_id":"83d392c8-a1d7-417d-b00a-715740a9a3ca","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.245108Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:743f44d334ff2964c1a4c8748f9499e083038039cebc73ec397278bbb67442ae","observation_id":"3037ebf6-6b9b-408d-b635-1f89f4a97e6e","resolution":{"observed_at":"2026-08-05T14:36:57.970522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.960694Z","title":"Training data-efficient image transformers & distillation through attention,","venue":null,"work_id":"92c8687b-5521-4247-841d-8e3da2e23043","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.306293Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:c0ba383ff30f12b9e61dc3e8cefdd8ceb0265808b7923b2f1cee346b8b04092b","observation_id":"ce7022f6-5dc4-413a-acf6-eac9f1f0f378","resolution":{"observed_at":"2026-08-05T14:36:57.963132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.953972Z","title":"Mamba yolo: A simple baseline for object detection with state space model,","venue":null,"work_id":"6e20a0fc-7fbe-41d7-a7a4-6b211269747c","year":2025},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.380438Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:569d43214530f1e31a2c68c50623aa3ccca900874abe8381440591b50167ec7a","observation_id":"9750b750-0b46-4d4c-9533-2ce568fae01d","resolution":{"observed_at":"2026-08-05T14:36:57.956333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16853","last_updated":"2024-01-18T15:57:21Z","snapshot_observed_at":"2026-07-06T17:35:45.288097Z","submitted_at":"2024-01-18T15:57:21Z","title":"PyRQA -- Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently","version":1},"cited_work":{"arxiv_id":"2402.16853","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.16853","snapshot_observed_at":"2026-08-05T14:36:52.127571Z","title":"PyRQA -- Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently","venue":"cs.DC","work_id":"1051a06a-b76b-4fb7-a85b-46eee0d920f5","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.474829Z"},"links":{"cited_paper":"/paper/2402.16853","citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:1d17cfec30d8fce42e669d2ecd93bd90e7751a23ded31f583fb09e1e65e17988","observation_id":"28f178cb-a5fd-44a9-b013-c55526c845b5","resolution":{"observed_at":"2026-08-05T14:36:52.176849Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.947114Z","title":"Coupled mamba: Enhanced multimodal fusion with coupled state space model,","venue":null,"work_id":"00c2d6a2-08d3-4896-adc5-3fe4528f6a33","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.524141Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:493a5fbd1f89a4836e143c387633216d3e41f0be10a2ece96e37b6f4e0503dbe","observation_id":"9112da2f-7986-41d8-8d27-c2308e4f3d0f","resolution":{"observed_at":"2026-08-05T14:36:57.949582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.939802Z","title":"Sigma: Siamese mamba network for multi-modal semantic segmentation,","venue":null,"work_id":"d1aded2d-82cd-49dc-a76b-e40dc9e872ec","year":2025},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.559584Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:95a41cc2b450903debe63271da84c33b1fd2bbd130d02cfbab2e2b1d67c5f2c0","observation_id":"e8119681-78f4-4c7e-9ea9-7325c85f9f5c","resolution":{"observed_at":"2026-08-05T14:36:57.942306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.932778Z","title":"Faster r-cnn: Towards real- time object detection with region proposal networks,","venue":null,"work_id":"95377d1a-99f6-414f-9b9c-9f4f49686eee","year":2015},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.618561Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:1eb6ef74bae2de916e822217d59233b379c5dbc2f60e7ac22035ff21fb3923bb","observation_id":"6e6ba7eb-771c-4fa4-a074-d98c185ad83b","resolution":{"observed_at":"2026-08-05T14:36:57.935199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.925692Z","title":"You only look once: Unified, real-time object detection,","venue":null,"work_id":"52ccfeab-4a2f-4f84-b497-125b70327ad6","year":2016},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.686609Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:140c4d3255e4884160ae08b91a35ec8d9609bf0d1fa3b2300ce373efda881c0c","observation_id":"32497d3e-c756-4313-a77c-00a87a728845","resolution":{"observed_at":"2026-08-05T14:36:57.928251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.918753Z","title":"Yolo9000: Better, faster, stronger,","venue":null,"work_id":"95242e2c-d93f-49b3-8f32-8a42f18df729","year":2017},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.736071Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:4c3420f201691711c0d16de403c51267825854085ad91595d164063ef557adbc","observation_id":"df104724-c2b4-41f0-acc5-9a817e012dc1","resolution":{"observed_at":"2026-08-05T14:36:57.921052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.911660Z","title":"Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detec- tors,","venue":null,"work_id":"608bf74e-052e-4879-be97-8e990d32683f","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.792658Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:3573f375dafbad85ff3168cd17a1acbf22735ef2fd443e4b25d27cc77819a27e","observation_id":"4e973288-899c-44f7-9ea4-6b6c5bf79368","resolution":{"observed_at":"2026-08-05T14:36:57.914210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.903882Z","title":"Fully convolutional region proposal networks for multispectral person detection,","venue":null,"work_id":"b3310cb3-1544-4904-a1d8-e0593bda3a7c","year":2017},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.816597Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:7ee761e69907a1627532db73f0762b3642abcad1ae75df0261d629fbad986175","observation_id":"edecf66c-ba46-4401-9f82-891a73b8bb08","resolution":{"observed_at":"2026-08-05T14:36:57.906965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.896073Z","title":"Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery,","venue":null,"work_id":"a1235c1b-8090-49e4-adff-0b91eba8f60b","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.906586Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:1f829f160438d9ca097b8660dd16e1aeb89f6e280521090bc8b633a155091360","observation_id":"dcf6feed-69be-4002-8127-f0b351f48c87","resolution":{"observed_at":"2026-08-05T14:36:57.898652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.888792Z","title":"Adopting the yolov4 architecture for low-latency multispectral pedestrian detection in autonomous driving,","venue":null,"work_id":"638cb9ac-97d3-4811-baf0-bd1867908fda","year":null},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:48.999985Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:bb9982072393a4d17402eefe585a5a3741689f81b604f66a1908fedf20494846","observation_id":"89b4e68d-0fab-4534-9b9e-d6e2cec86497","resolution":{"observed_at":"2026-08-05T14:36:57.891469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.881260Z","title":"Multimodal object detection by channel switching and spatial attention,","venue":null,"work_id":"52dace37-e63d-4cbe-beac-64c5e7354da2","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.059028Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:3d19421e8f508db1da2d73102878d3cdff3833bf830a2ba0a0efe9cd0fd9c9e9","observation_id":"5a4b1de6-a6db-4fa4-a974-dab84f43d359","resolution":{"observed_at":"2026-08-05T14:36:57.883701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00273","last_updated":"2022-10-04T09:52:39Z","snapshot_observed_at":"2026-07-06T12:03:45.415112Z","submitted_at":"2021-10-30T15:34:12Z","title":"Cross-Modality Fusion Transformer for Multispectral Object Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00273","snapshot_observed_at":"2026-08-05T14:36:49.089539Z","title":"Cross-modality fusion transformer for multispectral object detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.089539Z"},"links":{"cited_paper":"/paper/2111.00273","citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:7a90aac92aba1fdc65b71fd16a73ed5c05c73797892fe6084501ca3932bc5535","observation_id":"8397a703-ef40-4597-9ae7-bb4c2024c42e","resolution":{"observed_at":"2026-08-05T14:36:49.089539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.874223Z","title":"Lraf-net: Long-range attention fusion network for visible-infrared object detection,","venue":null,"work_id":"56c161ba-d10d-46b0-b5fc-665ec33e0da3","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.147579Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:e08e24c4fe7468a8746b4c0c0f6e6ab048045fb09c9c3af7f5d40ef61fe678c0","observation_id":"d10e1123-0fd4-4148-9ffc-809a333aadcb","resolution":{"observed_at":"2026-08-05T14:36:57.876776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.867022Z","title":"Multi-modal feature pyramid transformer for rgb-infrared object detection,","venue":null,"work_id":"6547d768-bc3d-4729-91d4-668f6a7104b1","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.227664Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:bfaba19642da74cb063dd294505161a93a8c98015870226e60ed06509dafa4ed","observation_id":"148ccbe6-3380-449d-9904-17e0ff7b4fb7","resolution":{"observed_at":"2026-08-05T14:36:57.869677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.859791Z","title":"Icafusion: Iterative cross-attention guided feature fusion for multispectral object detection,","venue":null,"work_id":"6dad9fcc-0574-4a86-9627-407e6d4f32f5","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.287768Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:c96fb49fbe6e91ac83a88203a070adee925dad8f1e127a4782e3f88a730fc9ff","observation_id":"d9cffaeb-1ed4-4723-9610-c322c30d0cde","resolution":{"observed_at":"2026-08-05T14:36:57.862260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.852270Z","title":"Improving multispectral pedes- trian detection by addressing modality imbalance problems,","venue":null,"work_id":"7929c5f3-3cf0-42ea-9a42-69e5377b0dc4","year":2020},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.344131Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:46018085a9bf5273642b4961ad73cf4ecba7654ddb695f6e0046c0acd9c4e168","observation_id":"ee085615-41a1-48b1-846f-bfe88519dfe5","resolution":{"observed_at":"2026-08-05T14:36:57.855163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.844242Z","title":"Baanet: Learning bi-directional adaptive attention gates for multispectral pedestrian detection,","venue":null,"work_id":"2b88384d-d7ee-4189-8d54-a55b6e5126dd","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.381101Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:4a90b8e63562933bfa62aaa7e02bebef98a1d3d3dd41f7658f441c76e88b3bab","observation_id":"3c1a82ea-7310-4bd5-ba14-9386c7dfe356","resolution":{"observed_at":"2026-08-05T14:36:57.847308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.837145Z","title":"Multispectral fusion for object detection with cyclic fuse-and-refine blocks,","venue":null,"work_id":"0d9ceb1b-799e-4134-8c9b-137b69b476b3","year":2020},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.474361Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:ad8ca1b1384a1e9cb0575addbb2801fbc3d66edb4d398ab23889bfb4f533206f","observation_id":"b52d289a-d4d5-4adc-b700-156fe1c32552","resolution":{"observed_at":"2026-08-05T14:36:57.839736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.830024Z","title":"Guided attentive feature fusion for multispectral pedestrian detection,","venue":null,"work_id":"edc58856-840e-45e6-a6e8-2d53fc694406","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.521023Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:c7e4cd314f0fcdf90aed84fe701a7370caaddc683aadab9c2529a62dc9600acb","observation_id":"972bf806-b88a-40dc-a075-0c685af90109","resolution":{"observed_at":"2026-08-05T14:36:57.832592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.822155Z","title":"Weakly aligned feature fusion for multimodal object detection,","venue":null,"work_id":"51a400f0-9e0b-44c3-8d91-7b8609c2230a","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.572740Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:9144525ad25614850fe926ecbf704a783c139656b861d98b0a43acd97f1f466a","observation_id":"41d55f81-aafd-4993-90f5-445cfc5b106e","resolution":{"observed_at":"2026-08-05T14:36:57.824805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.815028Z","title":"Uncertainty-guided cross- modal learning for robust multispectral pedestrian detection,","venue":null,"work_id":"416953b9-b98d-4e69-9def-3efb959b0925","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.617112Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:7aa8b129798cb703c730bbd45109391ee33b09c04041aede21dc0f7262fbcb7d","observation_id":"d15fe85c-47c2-4828-9a67-45c5c22067f3","resolution":{"observed_at":"2026-08-05T14:36:57.817604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.807575Z","title":"Confidence-aware fusion using dempster-shafer theory for multispectral pedestrian detection,","venue":null,"work_id":"1188a034-19c9-400c-b0b5-000a70a9f316","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.645180Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:28de84744803f57aa47eb079a19ea7331473335af3d7cf4dd4bd374a2457ec42","observation_id":"c917fac2-8a01-4492-a37e-7c85cd30e1b1","resolution":{"observed_at":"2026-08-05T14:36:57.810184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.800205Z","title":"Stabilizing multispectral pedestrian detection with evidential hybrid fusion,","venue":null,"work_id":"5eca6ffc-09a5-4afe-a04c-76e758e490f2","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.685681Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:02b26884723889b0852a76dfb3fa32838311f66ae85fc125c90d9c792fa43ef1","observation_id":"d92a00a6-61fa-4f4d-88cd-ac403f0d11c2","resolution":{"observed_at":"2026-08-05T14:36:57.802758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.793198Z","title":"Mlpd: Multi-label pedestrian detector in multispectral domain,","venue":null,"work_id":"4668ea17-13a4-421a-b2e8-bdeea27dab73","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.739645Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:7dec2b9da4e6c12b23f58846516038dcc7fc7c903b2ba0432262cfcae02f54b9","observation_id":"03c1ddfd-cb96-4fae-a943-82918759d044","resolution":{"observed_at":"2026-08-05T14:36:57.795691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.785730Z","title":"Damsdet: Dynamic adaptive multispectral detection transformer with competitive query selection and adaptive feature fusion,","venue":null,"work_id":"acb1ecc9-144c-4e95-83da-4b0bdb277a15","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.799851Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:1457183469e5157db09682d1bf0dcabee3f888ce3a52f5a6ac746bc11ce991a1","observation_id":"c3a89080-aa93-438a-aa0f-eaaa5f311a94","resolution":{"observed_at":"2026-08-05T14:36:57.788285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.778644Z","title":"E2E-MFD: Towards end-to-end synchronous multimodal fusion detection,","venue":null,"work_id":"09fa8619-fd64-4006-9883-014204ad1853","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.879651Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:227f8d02f5909d2a08ebb415280c0b28c6d7183790adfc27e6bac5ea310ae25c","observation_id":"db4fd771-844a-4e0d-9ab6-f6fd9a135b50","resolution":{"observed_at":"2026-08-05T14:36:57.781031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.771403Z","title":"Efficiently modeling long sequences with structured state spaces,","venue":null,"work_id":"9c34ab8f-bcd8-44dd-baa8-fe6e68447eed","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:49.913660Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:0f0540f84441d0884eb359fa18a9350d350e78b9c5284d0b5e68bc74cc647854","observation_id":"d4181f46-cb2b-424d-82d9-37bb13e3bac2","resolution":{"observed_at":"2026-08-05T14:36:57.774035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.764093Z","title":"Combining recurrent, convolutional, and continuous-time models with linear state space layers,","venue":null,"work_id":"e57978ca-90e0-4aa1-baf1-50f2cd0ac97c","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.000889Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:11a967dc6e2e06bde425e98b627a176914bb19a4e7c1c7ea2f5c603c461b6ae2","observation_id":"72eaede2-5a0f-4ed6-8aeb-2759143de269","resolution":{"observed_at":"2026-08-05T14:36:57.766786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.756020Z","title":"Simplified state space layers for sequence modeling,","venue":null,"work_id":"2c71f51d-0e28-4b82-a022-356b12d6450e","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.063627Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:15d2a202a0076f00bc8a6b00e55407c20cc63977080d857df67033105d97520f","observation_id":"e123a3ac-07ef-42e3-80c3-842f2da63e31","resolution":{"observed_at":"2026-08-05T14:36:57.759417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.748282Z","title":"Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers,","venue":null,"work_id":"81dd6868-3bbd-4ed1-85fc-0f25df9fb199","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.142050Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:0d26807c6effe1ce67179b277f440f7c8e8405b66fb71976b01d0f11d23d0e8c","observation_id":"0488d1a8-5735-4641-9415-ed5b2cf096fa","resolution":{"observed_at":"2026-08-05T14:36:57.751053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.740913Z","title":"GeminiFusion: Efficient pixel-wise multimodal fusion for vision transformer,","venue":null,"work_id":"f46a7fbe-9951-4006-9979-fef7f0d878d5","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.177382Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:9afb7413436e741a56dd2cb80321688bf25bb946f0bead2b6bd60ded48e7ec82","observation_id":"6c6f6891-fbd5-4bac-8cce-d864a6aaee8c","resolution":{"observed_at":"2026-08-05T14:36:57.743867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.733621Z","title":"VMamba: Visual state space model,","venue":null,"work_id":"d8d0f989-9141-4533-9d73-7032d65fbb0a","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.223823Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:f8aac686cd7ea6a3992aa65eedb0069a549a993645a2ba654e69a2ce53117bdb","observation_id":"4c137531-d325-49d8-a819-002124c5caf3","resolution":{"observed_at":"2026-08-05T14:36:57.736029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.682444Z","title":"Shapeconv: Shape-aware convolutional layer for indoor rgb-d semantic segmentation,","venue":null,"work_id":"c8801bee-3659-4065-a21f-13fc26d32a1b","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.287528Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:aaad6810f099eecad4b9957bf4ce82a1d2e634fe4c31847cafeeb2e17b00fc6e","observation_id":"066e08cf-1853-4308-9d9c-875185b4baf5","resolution":{"observed_at":"2026-08-05T14:36:57.728531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.455583Z","title":"Spatial information guided convolution for real-time rgbd semantic segmentation,","venue":null,"work_id":"fb1a4934-07ef-46b0-947f-da786e973333","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.373304Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:ab8e654baf27e89ecaacdf262904eab3807d545432d75ef34a7176eff365825f","observation_id":"a7cf53ca-8b30-4c53-9e81-e8fbdc925239","resolution":{"observed_at":"2026-08-05T14:36:57.585076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.224418Z","title":"Acnet: Attention-based network to exploit complementary features for rgbd semantic segmentation,","venue":null,"work_id":"08545cf4-8c44-46e8-94ff-0834f4b5916a","year":2019},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.439023Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:cd3ae396af2831cce506b1e7f97e8c3c809b988ddc200c2d6791a32b94a30e8b","observation_id":"901553e9-cac5-4d0a-8e83-04b0b7b93046","resolution":{"observed_at":"2026-08-05T14:36:57.337836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:57.017474Z","title":"Bi-directional cross-modality feature propagation with separation- and-aggregation gate for rgb-d semantic segmentation,","venue":null,"work_id":"bed68990-8f1a-4b37-b205-4606efad6cb2","year":2020},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.475863Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:66e282c882b9a68877fce920c674f8723129326078303131ac27c98cf3fcca81","observation_id":"3dd8fc22-66b0-4e08-880c-37aadf53b5fd","resolution":{"observed_at":"2026-08-05T14:36:57.123172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:56.816773Z","title":"Indoor segmentation and support inference from rgbd images,","venue":null,"work_id":"a46da03a-9832-4413-a9d6-d9a0c0bf5b71","year":null},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.531824Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:18d8e69320bf040dae15b2d29b55533ee56f72c7ae630f1d1d91d6b49cbd86c9","observation_id":"455cf9dc-cabb-4455-a487-2fb1158c4850","resolution":{"observed_at":"2026-08-05T14:36:56.904248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:56.610022Z","title":"Sun rgb-d: A rgb-d scene understanding benchmark suite,","venue":null,"work_id":"bc1efd7d-4ed0-4f82-9062-eb956ad24168","year":2015},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.617251Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:f72b487f91167ec6eff4f6e187381d977f0312bf548b8ef9e7560f4c5e6b4164","observation_id":"a4c1d619-b24c-4435-a8a9-1af163e92d47","resolution":{"observed_at":"2026-08-05T14:36:56.719265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:56.322281Z","title":"Gmnet: Graded- feature multilabel-learning network for rgb-thermal urban scene semantic segmentation,","venue":null,"work_id":"35fbf126-2177-4baf-b0e2-f7dd00745a96","year":2021},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.678286Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:c88f45bc88ffd72992f96b337940eb5919cae63ef0a053fb5677ec752e72cb29","observation_id":"35232137-2933-4615-a75c-da0925ca9ed0","resolution":{"observed_at":"2026-08-05T14:36:56.416864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:56.051541Z","title":"Ccaffmnet: Dual-spectral semantic segmentation network with channel-coordinate attention feature fusion module,","venue":null,"work_id":"a69caf91-f7d3-487a-9789-ac62f5bc12c9","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.718084Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:9f2539172548e532a300d89934b3f4d78c4b316386b34c5649daa85b5e534103","observation_id":"928986d8-d9a0-41ad-a9fa-ba497a01da26","resolution":{"observed_at":"2026-08-05T14:36:56.182532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:55.714728Z","title":"Context-aware interaction network for rgb-t semantic segmentation,","venue":null,"work_id":"41da27b1-6238-4b05-abca-c0dbb2f36e55","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.749501Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:fdd0b9f24db0881e73affacddbe85ae5c56e404bd5dc01d9190ff261088701ed","observation_id":"1e8e4081-2555-4241-ab8f-da2bbbc68bff","resolution":{"observed_at":"2026-08-05T14:36:55.820124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:55.454267Z","title":"Rgb-t semantic segmentation with location, activation, and sharpening,","venue":null,"work_id":"0fadfe7a-4649-4d42-806b-daf4544505eb","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.817186Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:9af5520fb2ae036d38c1165e4da1c5e5718024743b5dd5cc8617ec0181378ed9","observation_id":"d14bfc68-deed-483d-9eea-4844f8e67155","resolution":{"observed_at":"2026-08-05T14:36:55.569585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:55.155003Z","title":"Multimodal token fusion for vision transformers,","venue":null,"work_id":"a3c448ca-5be3-47a2-ac5f-8d59c76a8e8b","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.905140Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:26cec4b6c2132cdd1bad7e5111007429c5783083abaaf37f39d03bf6197a10bf","observation_id":"fffc0c46-5210-41c5-a4c2-811d67c3f04a","resolution":{"observed_at":"2026-08-05T14:36:55.257436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:54.974394Z","title":"Multimae: Multi-modal multi-task masked autoencoders,","venue":null,"work_id":"eaa71779-f274-45b5-a770-a18feb3af2f4","year":2022},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:50.977416Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:7faa6b7f1f7b5e295ca5eadc85e8789d2e54e35739c5acc9aa1115a046b2328e","observation_id":"b72480a3-6772-4c7f-9e46-80b71eaf8feb","resolution":{"observed_at":"2026-08-05T14:36:55.063614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:54.625952Z","title":"Deep multimodal fusion by channel exchanging,","venue":null,"work_id":"c55265e0-8d16-4d74-ac5f-69551a61c082","year":2020},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.009563Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:92c38c34437db568344eb8312541828ba5a3767b614186ed0bd9360663298b59","observation_id":"eefa1538-c23f-422b-a19b-bd3037f6e5a5","resolution":{"observed_at":"2026-08-05T14:36:54.803286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:54.441407Z","title":"Pixel difference convolutional network for rgb-d semantic segmentation,","venue":null,"work_id":"a7fca6eb-dbc8-448b-8541-6e4509ac552f","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.039404Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:1239ac80aebb1277e63942ad7f54772df734f12141d76915da382c83f3dc9234","observation_id":"320b281c-aea7-41d2-a453-e38a4ec59460","resolution":{"observed_at":"2026-08-05T14:36:54.520393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:54.214063Z","title":"Delivering arbitrary-modal semantic segmen- tation,","venue":null,"work_id":"328a28d1-2f92-4190-9948-5084d93708ba","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.130672Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:64b81526e473c0e3bb85ebc27fd92bd769977e4ff429077d3efba0c68a28aec8","observation_id":"ba1f8655-dae9-4d32-aaa1-89d99d086e24","resolution":{"observed_at":"2026-08-05T14:36:54.339444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:53.988885Z","title":"Depth- aided camouflaged object detection,","venue":null,"work_id":"e7dc808f-db85-4835-bad4-782a9205e40e","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.219298Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:d05b9792a87d85af60c18ea7cb655157eaf0ef8817230fd4a7484b2b8342b481","observation_id":"7d50eace-1309-4ebe-b70d-2547401a65a2","resolution":{"observed_at":"2026-08-05T14:36:54.097978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:53.727503Z","title":"Source-free depth for object pop-out,","venue":null,"work_id":"b65c1009-de69-49f9-a552-e65336645c37","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.278419Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:f818c3c5239c8fb9c984a46d60e9458372815c2b56915e287993b8ef83696738","observation_id":"494b03b9-dc6e-4ebf-bde7-cbf1763864f7","resolution":{"observed_at":"2026-08-05T14:36:53.873004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:53.455129Z","title":"High-resolution iterative feedback network for camouflaged object detection,","venue":null,"work_id":"2e8a4b69-8012-4718-b8d4-ca5d126720d2","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.332358Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:0e76a1ac4367c196ab922dc016f56cd56b1da71a313cebe53a5433d6fcc4116c","observation_id":"c81bee95-c6bf-4cac-b5b6-06572c93af8a","resolution":{"observed_at":"2026-08-05T14:36:53.570009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:53.165520Z","title":"Feature shrinkage pyramid for camouflaged object detection with transformers,","venue":null,"work_id":"0e803d1f-2bd9-4dd6-a317-cc3dd94f50b1","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.422489Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:ab1ffd192996065da0b840095d5f706b10b6715085f81bf039aadf5652b3a0be","observation_id":"b6abd5b7-907c-4fb1-8912-629636cb7fe7","resolution":{"observed_at":"2026-08-05T14:36:53.325490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:52.965218Z","title":"Hidanet: Rgb-d salient object detection via hierarchical depth awareness,","venue":null,"work_id":"62a659a5-83b3-4c8d-8b9b-2436b3e88bee","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.483767Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:2e2962e6c6150f234cddd920f3bcf45327b10ab352ff67b59bcc3fb5248f99e6","observation_id":"8cf5f0f0-3092-4451-a555-b2ebef0ef202","resolution":{"observed_at":"2026-08-05T14:36:53.038625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:52.751996Z","title":"Object segmentation by mining cross-modal semantics,","venue":null,"work_id":"8fdc4a1f-8510-4888-8b10-a07d8955a573","year":2023},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.554273Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:f03716a2208971db3c8262199a23cfec8dda700a786098913dca2134f7622d5b","observation_id":"c76b23b4-c2b1-4ec2-8ce8-410c87e3fd11","resolution":{"observed_at":"2026-08-05T14:36:52.883864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:52.626645Z","title":"Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba,","venue":null,"work_id":"262fc490-5e8b-4550-8234-18b18e2616ba","year":2024},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.591180Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:ea1a9ccbb4cc8446a7555917921d0f85dcce4159ae09567b5793188066e1cb48","observation_id":"421b4a5a-aab3-47af-bec2-237288c0ecdb","resolution":{"observed_at":"2026-08-05T14:36:52.672545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:52.475787Z","title":"Structure- measure: A new way to evaluate foreground maps,","venue":null,"work_id":"9d00367a-8251-4ee2-af5a-64114664a005","year":2017},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.630513Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:223f829153134956796a316dfdae4a55cf17f612754257b9093a2bc9c9b0eb71","observation_id":"9a6a262c-089e-496a-8888-e2f6c56a679d","resolution":{"observed_at":"2026-08-05T14:36:52.558535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.10421","last_updated":"2018-07-24T03:04:14Z","snapshot_observed_at":"2026-07-06T06:41:20.547019Z","submitted_at":"2018-05-26T03:29:38Z","title":"Enhanced-alignment Measure for Binary Foreground Map Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.10421","snapshot_observed_at":"2026-08-05T14:36:51.709481Z","title":"Enhanced-alignment measure for binary foreground map evaluation,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.709481Z"},"links":{"cited_paper":"/paper/1805.10421","citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:3bf94cbbe71c41ff41332bf41f318a13de1a48e37c7b61037c16f6888c184b89","observation_id":"c318e1eb-a5dc-49cf-acab-0ac14175c958","resolution":{"observed_at":"2026-08-05T14:36:51.709481Z","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":"document/6909433","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:36:51.929278Z","title":"Saliency detection via graph-based manifold ranking,","venue":null,"work_id":"1fddb2dc-ba07-4fbb-8515-0c702334a5ea","year":2013},"citing_paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T14:36:51.759026Z"},"links":{"citing_paper":"/paper/2508.21135"},"observation_digest":"sha256:f454fc83f48164235d7a1308ead035f42899daae863fc4e47934980d7e86c485","observation_id":"de8dd5ff-7994-489f-af76-765edd245b0b","resolution":{"observed_at":"2026-08-05T14:36:52.014408Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.21135","last_updated":"2025-09-12T02:23:49Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T14:36:46.067404Z","submitted_at":"2025-08-28T18:09:22Z","title":"HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection"},"reference_resolution":{"displayed":87,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":73},"total_outbound_references":87},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2508.21135."}