{"as_of":"2026-08-18T16:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bf20a164c63728246b85d1303ef6f1118ccfc8e55ed7cc26c175d02d71e515c3","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:40:10.703337Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2506.21018/citation-record","integrity":"/paper/2506.21018/integrity","json":"/paper/2506.21018/citation-record.json","paper":"/paper/2506.21018"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:40:18.627963Z","title":"Object detection in 20 years: A survey,","venue":null,"work_id":"9bb74ce8-e992-4922-bc10-590e214c9c64","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:03.705408Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:7241b3ed412969dc1bd7cc695a1c9c90a70974b1f04c78654c403bb5c8198e76","observation_id":"012757bd-e9bb-4030-a02a-dabc0849e9a5","resolution":{"observed_at":"2026-08-06T22:40:18.685688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:18.450496Z","title":"Ir reasoner: Real-time infrared object detection by visual reasoning,","venue":null,"work_id":"6d8925e7-b866-4b81-aa82-1798ff86efaf","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:03.765278Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:1e84302c2535e6afb2864af4364ca232ee25554f8f5ffb3eddf8f573972767e3","observation_id":"e43e7a1f-f5f7-44c3-b9d3-f3b3aa40cd5b","resolution":{"observed_at":"2026-08-06T22:40:18.534197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:18.292287Z","title":"Camoformer: Masked separable attention for camouflaged object detection,","venue":null,"work_id":"cd457ed4-4c28-4a56-b816-1f671a078e6e","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:03.843032Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:4b74c55350d2fba9eebe835f1597dea17d74165934cb32bf3f2b9822c96bfebd","observation_id":"f4cc23bc-96aa-429c-a5cb-c53198070cfd","resolution":{"observed_at":"2026-08-06T22:40:18.384337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:18.131105Z","title":"Confidence-driven region mixing for optical remote sensing domain adaptation object detection,","venue":null,"work_id":"1c189044-05f1-43f4-939b-974e1875f4d6","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:03.924215Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:71759c82eedb2c45e89c31408228994fdec3221ca847afb4ffff79ec082db6a9","observation_id":"7fb7f0eb-dff7-4df1-9a45-4252bcc80341","resolution":{"observed_at":"2026-08-06T22:40:18.185752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:17.915936Z","title":"Relational part-aware learning for complex composite object detection in high-resolution remote sensing images,","venue":null,"work_id":"b164266c-1d48-4229-8f20-531c76cb84c6","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.069614Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:4f56422bd78d196bc09800b7fd648e843d8ad65b46c4490e292c089838dc8ecb","observation_id":"2fe4adc6-3549-4107-b2df-68105b1a39df","resolution":{"observed_at":"2026-08-06T22:40:17.990646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:17.714961Z","title":"Learning cross-modality high-resolution representation for thermal small-object detection,","venue":null,"work_id":"f3f08ef7-f45c-41ba-832c-b734849af8a8","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.183491Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:ab26c46b01a0bbb26e9d9343f7c97c59178cd5d5d9ec3a71af347bd1d4107359","observation_id":"f0d41f57-57b8-4f87-842e-9f1ec29069c2","resolution":{"observed_at":"2026-08-06T22:40:17.852912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:17.560964Z","title":"Fdgnet: Frequency disentanglement and data geometry for domain generalization in cross- scene hyperspectral image classification,","venue":null,"work_id":"62c5a6a7-26e4-4722-a8a8-5ad9b993aebb","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.271491Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:b131e28c7a01dc2c1bb13dbfcd1f06968d5113a3ec87d6fc33e652c1a0e6a947","observation_id":"f4df50fe-3498-4d07-ad2d-a1c554a78c38","resolution":{"observed_at":"2026-08-06T22:40:17.664815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:17.422672Z","title":"Channelwise and spatially guided multimodal feature fusion network for 3-d object detection in autonomous vehicles,","venue":null,"work_id":"5ba1d20e-7ed5-4a4a-b1af-19d19509b847","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.394277Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:8c0ada1ed22abd98515d52df2bee8d1457754a0a047dd55a713c10ec2cb709a2","observation_id":"8d19ab5e-f524-43a2-adde-13be7f544162","resolution":{"observed_at":"2026-08-06T22:40:17.497745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:17.279581Z","title":"Ssmm: Semi-supervised man- ifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction,","venue":null,"work_id":"8f1d2cff-6430-4d80-88bf-bbb00e051f02","year":2025},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.465377Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:9da3a0df0001670fd0d725e730b76fd52cbb75f59ac66934ceb557acaa964950","observation_id":"8230be3b-69d8-4959-ba17-f0bcaffa9826","resolution":{"observed_at":"2026-08-06T22:40:17.363487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:17.120388Z","title":"Ctnet: Contrastive transformer network for polyp segmentation,","venue":null,"work_id":"d8632f3d-61d7-4063-a980-ea252d68c562","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.597169Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:e674f172095c6d5ca81581408d47fa3f5524aa816adffcbc800bda7245e6219c","observation_id":"62296a64-8b08-42e1-a7fa-702ef6441918","resolution":{"observed_at":"2026-08-06T22:40:17.176250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.977083Z","title":"Deep metric learning based on brownian covariance representation for few-shot hyperspectral image classification,","venue":null,"work_id":"0d1e9419-59f8-4913-849f-b7879b91622b","year":2025},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.687669Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:182dbff116dbe4ab76b15ce591997a9ea569f0b279684ef15aa58bef5fae8689","observation_id":"2f9b1696-f613-40a7-803a-b70cc9a06c14","resolution":{"observed_at":"2026-08-06T22:40:17.034258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.822987Z","title":"Tiny object detection in remote sensing images based on object reconstruction and multiple receptive field adaptive feature enhancement,","venue":null,"work_id":"18fe987b-4f49-46bc-a20c-bb8d31285837","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.736828Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:c987596475bbc148fb6ea215db63bcee0d08c2b9a889eab1cf024aec4d3b30a0","observation_id":"918b9ac6-d12f-49d7-9f04-4ec80200034a","resolution":{"observed_at":"2026-08-06T22:40:16.914161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.677802Z","title":"Multilevel fine- grained features-based general framework for object detection,","venue":null,"work_id":"2aee23a9-58ac-41b6-8e4f-4fabed295292","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.833600Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:81876b089283d50c83f7528d606a5f4aab49ce3ad40dac8f0f5c1a19e7edfcba","observation_id":"bb3e4425-28bf-4420-b060-75d7cd3f2437","resolution":{"observed_at":"2026-08-06T22:40:16.756410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.498065Z","title":"Visible and infrared image fusion using deep learning,","venue":null,"work_id":"5c349cc7-400b-4e9a-b93e-b0d7b952012c","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:04.942996Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:0ad9723e80d8e685287c025bb6251d3c5c3caccd4c0b9dc0e982fa9fa2a34c2c","observation_id":"befe296f-c06c-49bd-aec2-04583c3df14d","resolution":{"observed_at":"2026-08-06T22:40:16.577762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.340391Z","title":"Locality guided cross-modal feature aggregation and pixel-level fusion for multispectral pedestrian detection,","venue":null,"work_id":"4884eee4-8ac2-4b73-8bdb-d99c48134514","year":2022},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.043159Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:0928ff95d0c6eea826af706500372bd7ae845ef9277b9243379c98c336357392","observation_id":"870f9c1b-32c5-4887-a57b-e238d0a9f00a","resolution":{"observed_at":"2026-08-06T22:40:16.432208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.182584Z","title":"Metafusion: Infrared and visible image fusion via meta-feature embedding from object detection,","venue":null,"work_id":"0fe172eb-1db1-4be2-bc96-7a6d7188deb7","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.162994Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:a73c9f95bc517a6139ee929f88edb2e7c17603f8cfe809ef3f9dda8666f4eec8","observation_id":"a3c7a230-9a3f-49f0-92f8-c898bc96f76b","resolution":{"observed_at":"2026-08-06T22:40:16.261801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18955","last_updated":"2024-05-29T10:11:36Z","snapshot_observed_at":"2026-08-16T13:48:15.484841Z","submitted_at":"2024-05-29T10:11:36Z","title":"RGB-T Object Detection via Group Shuffled Multi-receptive Attention and Multi-modal Supervision","version":1},"cited_work":{"arxiv_id":"2405.18955","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.18955","snapshot_observed_at":"2026-08-06T22:40:11.080885Z","title":"RGB-T Object Detection via Group Shuffled Multi-receptive Attention and Multi-modal Supervision","venue":"cs.CV","work_id":"aaf1f99f-2543-4c2e-bdd0-baab77dda16e","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.300286Z"},"links":{"cited_paper":"/paper/2405.18955","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:c017d6eac88a85e9a724b75998eee5e03d0e64860bddcc601c05080dee36a1f0","observation_id":"8f6f734e-69db-423f-9799-13f27b9753d5","resolution":{"observed_at":"2026-08-06T22:40:11.124215Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:16.023052Z","title":"Damsdet: Dynamic adaptive multispectral detection transformer with competitive query selection and adaptive feature fusion,","venue":null,"work_id":"e4ddb358-e773-4cc7-87e3-a5742dc3e5e2","year":2025},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.395841Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:5df0a0f8fec0a11df299131c97b8d64d0db57cff68cea5072bc70efb4d2d1d19","observation_id":"b2afdd73-f3ba-4650-b01a-6013bc18ce16","resolution":{"observed_at":"2026-08-06T22:40:16.084295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:15.879367Z","title":"Translation, scale and rotation: cross- modal alignment meets rgb-infrared vehicle detection,","venue":null,"work_id":"8d0226bd-fd16-4650-a14d-61e17899be9c","year":2022},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.470175Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:bce695436e7d85f16d43ccd4c1d3fd0ea56ebc85e7ace2475a2ca9acd014747b","observation_id":"7a7d582b-6a7e-4b75-bfa2-eaa197b09a17","resolution":{"observed_at":"2026-08-06T22:40:15.956312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:15.780083Z","title":"C 2 former: Calibrated and complementary transformer for rgb-infrared object detection,","venue":null,"work_id":"fb857911-b3bf-4464-bfed-6f6ad6a838ee","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.638596Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:6a12c55658deeaf0e66eb90295230f75d9681c44855645cccb5a4ba1619575b2","observation_id":"bf48f6cd-1f54-4d5c-9c08-adc4cdad73bc","resolution":{"observed_at":"2026-08-06T22:40:15.833521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:15.690677Z","title":"Airborne small target detection method based on multimodal and adaptive feature fusion,","venue":null,"work_id":"e6b54eab-3d49-4cec-88b3-7ce5e9faef0a","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.724655Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:96dcaef387339c238d7c4c88a1457ac841fe4b107ac958187a69177cf85e4810","observation_id":"f215102a-0cd4-4747-9691-918f94975d79","resolution":{"observed_at":"2026-08-06T22:40:15.719213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09146","last_updated":"2024-04-14T05:28:46Z","snapshot_observed_at":"2026-08-16T14:01:09.100178Z","submitted_at":"2024-04-14T05:28:46Z","title":"Fusion-Mamba for Cross-modality Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09146","snapshot_observed_at":"2026-08-06T22:40:05.809006Z","title":"Fusion-mamba for cross-modality object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.809006Z"},"links":{"cited_paper":"/paper/2404.09146","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:e92a20a5ae5583c4833bfe4d2683195b0be50fe76f656e8f30d846c789ccf417","observation_id":"52623b51-2ec1-4af7-9944-556bff5b4605","resolution":{"observed_at":"2026-08-06T22:40:05.809006Z","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":"2026-08-06T22:40:15.542521Z","title":"Mask-guided mamba fusion for drone-based visible-infrared vehicle detection,","venue":null,"work_id":"f567ff93-03f4-41ea-885d-3d0e109969df","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:05.930774Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:e4785d91c79353101e0709477c295bf1d827acb34e338ea9b1b1657514ca8b7d","observation_id":"9a186943-cb34-426f-b5a5-80680c341f4c","resolution":{"observed_at":"2026-08-06T22:40:15.605481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08132","last_updated":"2024-07-11T02:09:59Z","snapshot_observed_at":"2026-08-17T01:22:46.407958Z","submitted_at":"2024-07-11T02:09:59Z","title":"DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08132","snapshot_observed_at":"2026-08-06T22:40:06.058753Z","title":"Dmm: Disparity-guided multispectral mamba for oriented object detection in remote sensing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.058753Z"},"links":{"cited_paper":"/paper/2407.08132","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:532e23606d02c4fa0fb4bf293d968283dbe596d4a8725e21460c6e2bab9f04fd","observation_id":"6bd4f7f6-8d85-44c7-a532-15fbaab03b76","resolution":{"observed_at":"2026-08-06T22:40:06.058753Z","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":"2026-08-06T22:40:15.412400Z","title":"Drone-based rgb-infrared cross- modality vehicle detection via uncertainty-aware learning,","venue":null,"work_id":"1f63ef61-f08c-4d6f-932e-60d026e11c6b","year":2022},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.150935Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:60e77a0a78ff5b3932c318cb97f154e01328c866de45dd761bf118783452635c","observation_id":"a0b92dc6-1d2a-46f3-a334-e8d3364dd187","resolution":{"observed_at":"2026-08-06T22:40:15.472572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:15.318943Z","title":"Llvip: A visible-infrared paired dataset for low-light vision,","venue":null,"work_id":"2e80b065-2a36-4e54-b0bf-9d3f69a51138","year":2021},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.307978Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:6397f3f4601f83726c17287848b418a280a170b3789cf8b29db79578087ffb6a","observation_id":"a95b0ba6-328b-4f10-9ea5-802d1c08050c","resolution":{"observed_at":"2026-08-06T22:40:15.363273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:15.182511Z","title":"Drone- based rgbt tiny person detection,","venue":null,"work_id":"691b518d-c2ca-4a3e-b04c-0ac3e0a490bc","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.409127Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:b77644daae1d1d18385dd0c1dfd67694f0b3b00933c500a21142b3dedfe2943e","observation_id":"aa24361e-7d26-4785-a181-b4bebc7b21a5","resolution":{"observed_at":"2026-08-06T22:40:15.236485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:15.032645Z","title":"Feature pyramid networks for object detection,","venue":null,"work_id":"b5130c85-ccee-4ad8-8ff7-0cebde73f96d","year":2017},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.502784Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:a1d332c377083fe4fa1155840c187cdedbc4cacd34b1a826685c3ad25c85ebdb","observation_id":"b43b7466-cb37-42cb-82b8-9ba2f47ea054","resolution":{"observed_at":"2026-08-06T22:40:15.105786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.914233Z","title":"Path aggregation network for instance segmentation,","venue":null,"work_id":"426d8fbb-1d47-44dd-b413-982a2920426c","year":2018},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.577700Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:f6d19ac6c043b983610fb5ada8681aa67adafff1a73137872fb00dec70d50bfc","observation_id":"9bcdc8d5-08be-4277-977b-788271faa982","resolution":{"observed_at":"2026-08-06T22:40:14.966008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.811536Z","title":"Enhancing geometric factors in model learning and inference for object detection and instance segmentation,","venue":null,"work_id":"9e330d98-cb82-4a50-b0e3-ef2bb75eb722","year":2022},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.701663Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:f9e035082d3fb9552d181ee2a5ff2cc6dc9cbe3cf386ff3484b9f9bda9957df1","observation_id":"241b19f8-2713-4047-9c4d-b6419d823473","resolution":{"observed_at":"2026-08-06T22:40:14.854398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.679231Z","title":"Face detection with different scales based on faster r-cnn,","venue":null,"work_id":"dbac7d7a-adf4-47cc-b142-9bc5ed96d8f2","year":2019},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.776969Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:6650bab05cdaed1aac1523a9d29d21066f32365ffcdfc9eaa458a67fbb11bc1e","observation_id":"1bc1c85f-4620-41a9-a7bd-214c3b06154d","resolution":{"observed_at":"2026-08-06T22:40:14.758862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.574347Z","title":"Yolo-world: Real-time open-vocabulary object detection,","venue":null,"work_id":"7235c698-dc37-4cd6-a47f-efe995bd64dd","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.866956Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:cc3824f186e4b9e7eac2fc41e94a01d434ccdfd5b696a739773b2a4492657401","observation_id":"cfb5c39c-e113-43df-bb83-e54fee522e9b","resolution":{"observed_at":"2026-08-06T22:40:14.619467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.476144Z","title":"Object detection under rainy conditions for autonomous vehicles: A review of state-of-the-art and emerging techniques,","venue":null,"work_id":"0c3ecc98-efcd-4699-9deb-c2ae39b32d8c","year":2021},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:06.947672Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:e1e733cdff67c42d3ded846bbdc7707b70ada13ac04c287d26b512fda0f6319a","observation_id":"ad571c16-77a6-4ff6-8462-7dfba337a9a3","resolution":{"observed_at":"2026-08-06T22:40:14.524066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.341690Z","title":"Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark,","venue":null,"work_id":"94f3adf9-29b9-48cd-b0e2-476ada21ddce","year":2021},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.028044Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:793623ad9edab2ca9c482d79cfd7df64f4b1322fd0331018c4c933e4a61596cd","observation_id":"03685768-a20e-44ed-bf59-0b00bcbdac87","resolution":{"observed_at":"2026-08-06T22:40:14.420955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.242930Z","title":"Superyolo: Super resolution assisted object detection in multimodal remote sensing imagery,","venue":null,"work_id":"a33684d3-5343-44d5-a4d3-d01d696e4286","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.130696Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:8b3c6fbe0c2f40016db9979b50310a517067a075519742c2099e53c0d12e47a0","observation_id":"945908e9-5cf6-48b6-b3bd-8c92167d1506","resolution":{"observed_at":"2026-08-06T22:40:14.279142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.153636Z","title":"Weakly aligned feature fusion for multimodal object detection,","venue":null,"work_id":"f84a6a11-9042-4c52-9726-b22ccf39038d","year":2021},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.224946Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:16ba9d770576ee0a616cd25ba42ca28e3f34591ae74b9dfade17a7018465a2a8","observation_id":"d0d43246-8054-42e6-b35d-d624c42b7911","resolution":{"observed_at":"2026-08-06T22:40:14.199492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:14.031109Z","title":"Lraf- net: Long-range attention fusion network for visible–infrared object detection,","venue":null,"work_id":"f371708c-f951-4c3a-a131-0b03a25369d0","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.287493Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:e1d63ca87d7b4c137e75ec76a3536e799bf61e30074dec57f4692ef72b2a6d4f","observation_id":"ce3b0027-4a9a-4cde-99ea-ffb6815320bd","resolution":{"observed_at":"2026-08-06T22:40:14.099528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.864511Z","title":"Differential feature awareness network within antagonistic learning for infrared-visible object detection,","venue":null,"work_id":"381c6384-1ce1-4ea8-8d67-b1436b6df64b","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.409988Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:809000776336611507e3cbe89ddce7e820708a8785f2e27367fc61ff2b0e5304","observation_id":"5842417c-9e68-45d9-94a0-17af4b52b162","resolution":{"observed_at":"2026-08-06T22:40:13.952458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.789072Z","title":"Cdc-yolofusion: Leveraging cross-scale dynamic convolution fusion for visible-infrared object detection,","venue":null,"work_id":"c5353d0a-7a55-44c7-865b-fb1e7c9a864e","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.517513Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:cfc4cb6d3bc7d020232588c2075ab2953957d54d53017b2ab10f623dcb9712e5","observation_id":"8d5137c5-4705-47da-a589-7780cb34fbaa","resolution":{"observed_at":"2026-08-06T22:40:13.828244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.686752Z","title":"Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,","venue":null,"work_id":"16dce3d5-a6ba-4b0e-af7d-e5be579bbd2e","year":2025},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.655076Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:ab3e03988180e6d681e2e1a80c959da1fb7ac5b523ffbfe63537a1cdafea330e","observation_id":"9c740480-980c-4a41-bc8c-4d54efc41b55","resolution":{"observed_at":"2026-08-06T22:40:13.737656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-06T22:40:07.752942Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.752942Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:6880594eb4e62deb896b6946afdf2cb3175ed469374019a41619bb7d6a3229f5","observation_id":"55bc795f-13a2-4447-b898-3588761272a6","resolution":{"observed_at":"2026-08-06T22:40:07.752942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11358","last_updated":"2024-10-15T07:26:39Z","snapshot_observed_at":"2026-08-18T12:00:33.576588Z","submitted_at":"2024-10-15T07:26:39Z","title":"SeaDATE: Remedy Dual-Attention Transformer with Semantic Alignment via Contrast Learning for Multimodal Object Detection","version":1},"cited_work":{"arxiv_id":"2410.11358","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.11358","snapshot_observed_at":"2026-08-06T22:40:10.888716Z","title":"SeaDATE: Remedy Dual-Attention Transformer with Semantic Alignment via Contrast Learning for Multimodal Object Detection","venue":"cs.CV","work_id":"9111017b-aa64-4e01-9131-6e19d3c999b9","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.869652Z"},"links":{"cited_paper":"/paper/2410.11358","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:47dd08f1075cde8b11ac0628d40046660a2435b1715ae181d565751c08db8476","observation_id":"216cd43a-06c6-4cd6-91bc-da964d6e6de9","resolution":{"observed_at":"2026-08-06T22:40:10.979603Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.603715Z","title":"Improving rgb- infrared object detection with cascade alignment-guided transformer,","venue":null,"work_id":"11ed89ff-8cd4-4251-98d1-b06e6435db58","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:07.973106Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:f37e7e7fef96f91e9c3d8e8fd97bc05a6eae1647da07a7d5916ae22d3e9f31b3","observation_id":"b7154d0d-4687-4df2-bab9-dccb6b6adc76","resolution":{"observed_at":"2026-08-06T22:40:13.643377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.527760Z","title":"Caff-dino: Multi-spectral object detection transformers with cross-attention features fusion,","venue":null,"work_id":"23386b54-412b-40e6-b69f-381a12d50a65","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.058586Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:c7a5628850721f3cc1f95ea98abeeaaa19b41dc7258f1e826369577006d1e23c","observation_id":"4589511c-838a-48bd-8467-591b3cc76ca8","resolution":{"observed_at":"2026-08-06T22:40:13.566016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09417","last_updated":"2024-11-14T02:00:33Z","snapshot_observed_at":"2026-08-14T11:12:31.002605Z","submitted_at":"2024-01-17T18:56:18Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09417","snapshot_observed_at":"2026-08-06T22:40:08.149895Z","title":"Vision mamba: Efficient visual representation learning with bidirectional state space model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.149895Z"},"links":{"cited_paper":"/paper/2401.09417","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:cd6050e8946fd5f95ac2eb88033756f7ace31def4e51530349453f2da82ea514","observation_id":"556880aa-00ae-4b39-ba30-17d6f72d6a1f","resolution":{"observed_at":"2026-08-06T22:40:08.149895Z","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":"2026-08-06T22:40:13.440496Z","title":"Dynamic token augmentation mamba for cross-scene classification of hyperspectral image,","venue":null,"work_id":"204b0696-a755-4c6f-a5ba-02904c662cd7","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.271012Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:452952509ffdcfdf8d0b194092297c1aa51137afd8112ab9dc456ddb0a1cb80a","observation_id":"f5d2b01f-cd5e-422b-9110-29cd849e2dcf","resolution":{"observed_at":"2026-08-06T22:40:13.488478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18076","last_updated":"2024-12-24T01:14:48Z","snapshot_observed_at":"2026-08-17T01:19:24.963825Z","submitted_at":"2024-12-24T01:14:48Z","title":"COMO: Cross-Mamba Interaction and Offset-Guided Fusion for Multimodal Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18076","snapshot_observed_at":"2026-08-06T22:40:08.355504Z","title":"Como: Cross-mamba interaction and offset-guided fusion for multimodal object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.355504Z"},"links":{"cited_paper":"/paper/2412.18076","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:e3b63e45e42cb4409b16538546d26334b34588cbfbcddd082d5703074a318ee8","observation_id":"b1850384-7a26-40aa-a7de-f98c5e4f7450","resolution":{"observed_at":"2026-08-06T22:40:08.355504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16302","last_updated":"2025-07-08T14:46:42Z","snapshot_observed_at":"2026-08-16T13:58:02.261853Z","submitted_at":"2024-04-25T02:54:11Z","title":"CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weather","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16302","snapshot_observed_at":"2026-08-06T22:40:08.469695Z","title":"Cfmw: Cross-modality fusion mamba for multispectral object detection under adverse weather conditions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.469695Z"},"links":{"cited_paper":"/paper/2404.16302","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:00da47c7ccbdb21e0ac9aa74d7e34a996ce16c49c895418b570be2a5f66b0da9","observation_id":"3a5fa316-e4a5-4c44-9d4d-91ae9c7de311","resolution":{"observed_at":"2026-08-06T22:40:08.469695Z","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":"2026-08-06T22:40:08.578819Z","title":"Remotedet-mamba: A hybrid mamba-cnn network for multi-modal object detection in remote sensing images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.578819Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:1642e49ed58b2963215655837515251d8ccc647f4f644d3ab855017a74c440c8","observation_id":"caae244a-d49c-4359-aa50-b37e97d59907","resolution":{"observed_at":"2026-08-06T22:40:08.578819Z","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":"2026-08-06T22:40:13.305608Z","title":"Weakly misalignment-free adaptive feature alignment for uavs-based multimodal object detection,","venue":null,"work_id":"71da3107-d460-4933-8c14-85eb2b11aa91","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.686200Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:6c430cc0a7a2ccbff7c075c3677cf6b7f1ab57e4d5196aad8d35e60e44c73ec0","observation_id":"2e98326e-bf40-4612-956d-186e2882d856","resolution":{"observed_at":"2026-08-06T22:40:13.371132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.174297Z","title":"G2da: Geometry- guided dual-alignment learning for rgb-infrared person re-identification,","venue":null,"work_id":"f852adf0-4b3c-4e4a-a2a4-b43de83a32ce","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.788849Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:8b4e1b960d2bf41cb7c175011f8226e28afe762c50cc206bd52064d73a9a218e","observation_id":"8f17b6ca-c26d-41d3-a410-b5333d411ccf","resolution":{"observed_at":"2026-08-06T22:40:13.253019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:13.010104Z","title":"Cross-modal oriented object detection of uav aerial images based on image feature,","venue":null,"work_id":"3bbc9d1f-533e-4f15-a9a1-580bc6b50d04","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.835411Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:552d34aef6cce13b1266382a6fe629e9bf549c8a780da6af676995436bb708e0","observation_id":"0277311e-7406-4aed-8577-bd22c4835898","resolution":{"observed_at":"2026-08-06T22:40:13.102318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:12.830298Z","title":"Daff: Dual attentive feature fusion for multispectral pedestrian detection,","venue":null,"work_id":"152d28b6-dade-4f3e-bc3a-7c815899ffe9","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.883555Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:01626e04c3f7a8c486c5ee8a2140a18e12b9674729b924dcd12d49b5f988dabc","observation_id":"f5428551-1157-4684-9c25-6bc6ceb9ca49","resolution":{"observed_at":"2026-08-06T22:40:12.900650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:12.730200Z","title":"Multimodal object detection by channel switching and spatial attention,","venue":null,"work_id":"cf2b0be3-e315-4f46-823a-80aca7ec18aa","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:08.941292Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:39685ff583fe2ac56cfc9baeab57f2715b7c10d3694cc2e9d6076b526d84e24b","observation_id":"64beda7f-5ef4-4e50-b561-f3598cd10acd","resolution":{"observed_at":"2026-08-06T22:40:12.772803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:12.590912Z","title":"Dpnet: Dual- path network for real-time object detection with lightweight attention,","venue":null,"work_id":"59ff6e74-e552-4b02-b0a3-58a31df83379","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.025724Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:0cc3d6be55317756aa41aa8f5a34f6d00cd8228318a677ca24f8e0f3f98d0ddc","observation_id":"0e340f1f-01ca-45c5-9988-661735ac09a0","resolution":{"observed_at":"2026-08-06T22:40:12.638983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:12.436203Z","title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices,","venue":null,"work_id":"8b129ef4-127f-4a9f-be0d-d1f0d87901b7","year":2018},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.144335Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:380569e626b75de0ed80a0684181c19cfa299c38b77e662329ddd23acc6ef79e","observation_id":"5a8cfcf2-574e-4ded-92ad-0b538d605a34","resolution":{"observed_at":"2026-08-06T22:40:12.511016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:12.308319Z","title":"Shufflenet v2: Practi- cal guidelines for efficient cnn architecture design,","venue":null,"work_id":"e0be299b-4797-4402-9820-dfaca71fe518","year":2018},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.268789Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:d6f4441a4a420a01367d80ac2dc3be0e9774a408ee2f46f290194dc7121c6e17","observation_id":"af8e9789-52b6-4bf1-b133-91b05fd53bd4","resolution":{"observed_at":"2026-08-06T22:40:12.345063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:12.154097Z","title":"ultralytics/yolov5: v6. 2-yolov5 classification models, apple m1, reproducibility, clearml and deci. ai integrations,","venue":null,"work_id":"3f8a20db-f50e-4c0a-8d82-3fc38afc1094","year":2022},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.385390Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:84dd06fa4802ee40cb4592a3160cdfe40f5b6188d05a2111f4fdd93cccdbd689","observation_id":"f1f9d446-88ea-4e7c-8535-9af5f0a2d314","resolution":{"observed_at":"2026-08-06T22:40:12.219897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:11.992271Z","title":"Visible-thermal uav tracking: A large-scale benchmark and new baseline,","venue":null,"work_id":"f3790337-09bb-4849-8c37-d5e24cb9a901","year":2022},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.502806Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:10a0b5a496b4fadd2ccfa9488c995d175e919b66cff3e18759347091711085af","observation_id":"52c3ad5b-b535-40a6-9fd7-3d53c2b33cf1","resolution":{"observed_at":"2026-08-06T22:40:12.056013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00273","last_updated":"2022-10-04T09:52:39Z","snapshot_observed_at":"2026-08-18T10:37:19.014567Z","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":"2026-08-06T22:40:09.616451Z","title":"Cross-modality fu- sion transformer for multispectral object detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.616451Z"},"links":{"cited_paper":"/paper/2111.00273","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:8becab77da46f76e383df8ab93572f5848a40fa6dd4ac9147b3469ebfe490283","observation_id":"4da62664-536a-4cac-b80b-0db0ba6d4b6b","resolution":{"observed_at":"2026-08-06T22:40:09.616451Z","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":"2026-08-06T22:40:11.856506Z","title":"Guided hybrid quantization for object detection in remote sensing imagery via one-to- one self-teaching,","venue":null,"work_id":"d0faacc2-03c9-4c43-9bd8-9f765612ee45","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.733677Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:503bbfa06300931b9b5cb457c476f5cd76d67f3678851d55e55166f9544c4dd0","observation_id":"8523ee8a-01bc-45da-a42d-e2ef6e3e070b","resolution":{"observed_at":"2026-08-06T22:40:11.923664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:11.686065Z","title":"Misaligned rgb-infrared object detection via adaptive dual-discrepancy calibration,","venue":null,"work_id":"099b925b-e07d-49ba-ab01-bfd7fb4ebc3b","year":2023},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:09.870294Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:513f20ac177130e9a3795d5f049086e70b03f2c7cf3cae839ed501ee36da6660","observation_id":"a94f8b97-b043-461a-a7fc-8a6c58e1ce7b","resolution":{"observed_at":"2026-08-06T22:40:11.778182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:11.534728Z","title":"Icafusion: Iterative cross-attention guided feature fusion for multispectral object detection,","venue":null,"work_id":"e05ea6ee-d56a-47fd-a282-2358da1ea04d","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:10.046078Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:7a8e8188a75cac67adda8fa1ece2eb326b295bcd57c192dfbef0e5d2aae6aa38","observation_id":"53b2abe7-0737-4e5b-9b07-8e8d29a22412","resolution":{"observed_at":"2026-08-06T22:40:11.610443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T22:40:11.371419Z","title":"Gm-detr: Generalized muiltispectral detection transformer with efficient fusion encoder for visible-infrared detection,","venue":null,"work_id":"18464c0a-0ae5-40f9-9f8a-6709e49840c1","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:10.211268Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:7a2ca3ff4f2862249186156ff04f6c23f8728649d00fcbd861866af046a751f2","observation_id":"f8a1c28b-246a-4448-8940-a3a9bd46f61c","resolution":{"observed_at":"2026-08-06T22:40:11.441322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12143","last_updated":"2025-04-18T07:11:49Z","snapshot_observed_at":"2026-08-16T23:23:19.303030Z","submitted_at":"2024-10-16T01:06:12Z","title":"Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12143","snapshot_observed_at":"2026-08-06T22:40:10.596197Z","title":"Unveiling the limits of alignment: Multi-modal dynamic local fusion network and a benchmark for unaligned rgbt video object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:10.596197Z"},"links":{"cited_paper":"/paper/2410.12143","citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:5c1e8f6d0bebe1000d3b5b9dbb578f065545785d94013e5d367d09f5fb664d9a","observation_id":"ed997f8a-e093-4317-baa5-e67b63d6a038","resolution":{"observed_at":"2026-08-06T22:40:10.596197Z","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":"2026-08-06T22:40:11.201746Z","title":"Aodet: Anti-occlusion for enhanced small object detection in drone-based rgbt imagery,","venue":null,"work_id":"9e539d74-723f-475b-b56b-528a1c9e9fd4","year":2024},"citing_paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:10.703337Z"},"links":{"citing_paper":"/paper/2506.21018"},"observation_digest":"sha256:4d8898f72ed1e42b794eebb61f8c4a3b4f06b90365fe714b6bf6727927a95cfa","observation_id":"a9ce46e6-8f8e-491d-942b-6232631c1fcc","resolution":{"observed_at":"2026-08-06T22:40:11.276735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.21018","last_updated":"2025-06-26T05:32:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T17:44:43.067054Z","submitted_at":"2025-06-26T05:32:33Z","title":"LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":55},"total_outbound_references":66},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2506.21018."}