{"as_of":"2026-08-21T09:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:732d15832760763ea12fbd1443f0898b17a02c84bccb4552abede7c6078d7d1a","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:36:03.882672Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T15:22:13.199812Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-09T15:22:13.367689Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"cited_work":{"arxiv_id":"2411.18082","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.18082","snapshot_observed_at":"2026-08-09T15:22:13.367689Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","venue":"cs.CV","work_id":"f86229a9-96d2-408a-bf75-02ac00627fe3","year":2024},"citing_paper":{"arxiv_id":"2502.01710","last_updated":"2025-05-05T08:31:11Z","snapshot_observed_at":"2026-08-18T10:38:30.638528Z","submitted_at":"2025-02-03T15:18:54Z","title":"DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:13.199812Z"},"links":{"cited_paper":"/paper/2411.18082","citing_paper":"/paper/2502.01710"},"observation_digest":"sha256:a9e15d50b4c850e4258618fc1f5287d2437fbb1975e5ac5e8a0ca812e33b640d","observation_id":"9f49a6e3-734e-49bf-bf85-4be1e9ddfeac","resolution":{"observed_at":"2026-08-09T15:22:13.375245Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.18082/citation-record","integrity":"/paper/2411.18082/integrity","json":"/paper/2411.18082/citation-record.json","paper":"/paper/2411.18082"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:36:04.631699Z","title":"On the impact of using x-ray energy response im- agery for object detection via convolutional neural networks","venue":null,"work_id":"d6624ecd-54a2-42c2-9824-afd57a47ef3a","year":2021},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.692691Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:e19fa62a5e53faaeb99b2023e8ecf410b6f5298a41c9acf14170f50c862d174a","observation_id":"ad3c8ff1-9627-4747-ac49-1838fbf296c9","resolution":{"observed_at":"2026-08-12T11:36:04.636368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.616809Z","title":"Cascade r-cnn: Delv- ing into high quality object detection","venue":null,"work_id":"d036cd4f-38c3-45b1-8a25-5e525da59996","year":2018},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.698278Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:259a9bc4f2657bb4fff950466d31016eb8874d0e1ff9489dab0ce085f9762d1c","observation_id":"ff526d75-8723-480e-beaa-20758ee0d842","resolution":{"observed_at":"2026-08-12T11:36:04.621678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.07155","last_updated":"2019-06-17T17:58:12Z","snapshot_observed_at":"2026-08-16T03:32:25.570081Z","submitted_at":"2019-06-17T17:58:12Z","title":"MMDetection: Open MMLab Detection Toolbox and Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.07155","snapshot_observed_at":"2026-08-12T11:36:03.703064Z","title":"MMDetection: Open mmlab detection toolbox and benchmark","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.703064Z"},"links":{"cited_paper":"/paper/1906.07155","citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:7ece3638465033178bb8954ab7a5e11f4ad7a609cee7ab2f5f34b58df4f87d37","observation_id":"fdc71991-bf14-4381-9667-6d87ea5f3c05","resolution":{"observed_at":"2026-08-12T11:36:03.703064Z","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":"2026-08-12T11:36:04.601690Z","title":"Air- craftverse: A large-scale multimodal dataset of aerial vehi- cle designs","venue":null,"work_id":"9f6897fd-3c4f-4da6-acf0-12ce64ec0e18","year":2023},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.708441Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:cc3a6fbf6b7be959bf49bc00d0c92f0319e55437b67b9be4ac0b8feb456a819b","observation_id":"bcbf03af-a367-4c9d-9e36-fd15a008f61f","resolution":{"observed_at":"2026-08-12T11:36:04.606582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:36:03.713586Z","title":"Centernet: Keypoint triplets for object detection","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.713586Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:e3eff0f0f666bc642b5585a4d5d21909832e8ad34113e80f7d5303e1b2a13420","observation_id":"ee6c5f73-9a6b-484d-a26a-4e7ddb54cd41","resolution":{"observed_at":"2026-08-12T11:36:03.713586Z","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":"2026-08-12T11:36:04.577432Z","title":"The pascal visual object classes (voc) challenge","venue":null,"work_id":"6f46d40e-7d49-4769-b6c1-9a880feaa018","year":2010},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.718560Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:ddadb97c71802156336a9f957876a749dcacdd4ebcfc6f918b803fe17a381fab","observation_id":"9ec4e110-c4b9-4a8f-9892-6e0c4749cb06","resolution":{"observed_at":"2026-08-12T11:36:04.582049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.562344Z","title":"Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research","venue":null,"work_id":"b8337fe3-6d4b-49fb-aed9-7c7849cf1f71","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.723139Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:e37e2a7b30621f1605b2ebe1dc15ea27a7e60e60be7b0688a340634bafda0db9","observation_id":"946c154b-d34e-4869-9a78-cfa3d7af79e5","resolution":{"observed_at":"2026-08-12T11:36:04.567029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.547822Z","title":"Cbanet: Toward com- plexity and bitrate adaptive deep image compression using a single network","venue":null,"work_id":"4051bf5e-3959-4619-a096-afbbc2af4bac","year":2023},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.728433Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:1204b1ff139de6c9bb19efa51ffae6cf88999ea7309e145094b840acb3344e68","observation_id":"ca56e5d7-2a6d-478b-b29c-fbfb8ae940ea","resolution":{"observed_at":"2026-08-12T11:36:04.552402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.532443Z","title":"Multidimen- sional pruning and its extension: a unified framework for model compression","venue":null,"work_id":"ff8d5cc8-bb8f-4438-9c81-4bc7546c6892","year":2023},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.732918Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:e9b147e4027625f41936218f9e5bee164841d2acde3076cde02aa8fbf328d3b5","observation_id":"e3618424-bf0b-4240-8f91-d82a52cb8860","resolution":{"observed_at":"2026-08-12T11:36:04.537577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.516920Z","title":"Lpixray: A large-scale logistics prohibited item x-ray dataset for the application of deep learning in security inspection","venue":null,"work_id":"e518b597-9ee4-4f27-af7a-5ea912d8f4ba","year":2023},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.737880Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:6180e30ec49b1eae6c8e9710f662bf66aa5075a417c461db841e00c4be65f964","observation_id":"6c552775-62f3-42f5-8561-aa1f08282005","resolution":{"observed_at":"2026-08-12T11:36:04.522223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.500964Z","title":"Species196: A one-million semi-supervised dataset for fine-grained species recognition","venue":null,"work_id":"12983a8c-359a-4f4d-b672-cf252e73153b","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.742702Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:d2e2a79364b5388cbddc2ca0a784a14b92dc853aee0f37c33c07b42895437b2f","observation_id":"e4ca5493-0187-4914-b17c-2ffe1a3ed4d1","resolution":{"observed_at":"2026-08-12T11:36:04.505847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.485147Z","title":null,"venue":null,"work_id":"e7e1f74d-237b-46d0-8879-526c12097a5b","year":2021},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.747217Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:e870867536368df46faafdacf29c5afa50bfd92a5daf2f21945ca5ba81c676ca","observation_id":"6fd5759f-4eec-4156-a5d8-f9254ef7a98e","resolution":{"observed_at":"2026-08-12T11:36:04.489848Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.468531Z","title":"Climateset: A large-scale climate model dataset for machine learning","venue":null,"work_id":"8e2ee0fe-dc1c-49ec-b711-50d289acac3f","year":2023},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.752131Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:af5321170743fd70559f8aa5e77746ee28882b08173484e6f6ab96d3e956fa79","observation_id":"305a3e6b-654a-4890-b4ec-89f060514b56","resolution":{"observed_at":"2026-08-12T11:36:04.474941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.452268Z","title":"Openassistant conversations-democratizing large lan- guage model alignment","venue":null,"work_id":"87ba99cf-06d7-42a0-9f90-7a79bf2c63d7","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.756660Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:5c46d280442f689745b9630008b8f525222797f2688d1e819250462d4713c803","observation_id":"c975dc14-9e25-42d6-8157-a89a9105bf0e","resolution":{"observed_at":"2026-08-12T11:36:04.457630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.435364Z","title":"Scenarionet: Open-source platform for large-scale traffic scenario simula- tion and modeling","venue":null,"work_id":"e1791745-1ad9-4d64-8f4e-be2aeea475ce","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.761530Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:c73c1b276f38a63ca567fbf6942ea3d0d6933f3e943f0084be2223427d518e92","observation_id":"5adb8ec4-4a10-40d8-8eab-6f9b1a4ad57e","resolution":{"observed_at":"2026-08-12T11:36:04.440971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:36:03.766063Z","title":"Focal loss for dense object detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.766063Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:0c8c975d32421707f02a95d82d7458ce2eac74fbc9a940f6b09699516aca28bf","observation_id":"1ecfb6c7-874c-4409-8fa3-9baa018383a0","resolution":{"observed_at":"2026-08-12T11:36:03.766063Z","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":"2026-08-12T11:36:04.410129Z","title":"Largest: A benchmark dataset for large-scale traffic forecasting","venue":null,"work_id":"67b5d62a-5346-46c4-a5d0-8d22c0959bd5","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.770453Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:42d3eb79353ef3b002f88ff8ecefc1e33ec8020e1179741c9b1e8bacc7c22341","observation_id":"6397ca75-454f-4e79-924d-40898538ffba","resolution":{"observed_at":"2026-08-12T11:36:04.415027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.395919Z","title":"Automated segmentation of prohibited items in x-ray baggage images using dense de-overlap atten- tion snake","venue":null,"work_id":"488986a4-170a-4605-bb5c-f473893df438","year":2022},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.774941Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:3ab42b5a657e3d81654a69cd906fa80d28f21eb186ee68247fc655229a9ed010","observation_id":"f2e8e888-a421-414d-b316-f74f5c5076a1","resolution":{"observed_at":"2026-08-12T11:36:04.400800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.381329Z","title":"Towards dual-view x-ray bag- gage inspection: A large-scale benchmark and adaptive hi- erarchical cross refinement for prohibited item discovery","venue":null,"work_id":"09a23c1f-4544-486c-b6e0-4eaede139dc5","year":null},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.779752Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:89662709e32c17c1a94b7723e63244162411613e75d0e76921fd176239ab76cb","observation_id":"22c1c3dc-917e-4dc9-9b1c-da7691443440","resolution":{"observed_at":"2026-08-12T11:36:04.386191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.365437Z","title":"Priorband: Practical hyperparameter optimiza- tion in the age of deep learning","venue":null,"work_id":"e24fcaf0-171c-4073-8ce1-93fb7b30adaf","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.784458Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:99bd907d228526189a503081004054c2328b159c069a331597435b9f17120039","observation_id":"fb6a376e-7a00-4df6-8a47-67d2f76cf82a","resolution":{"observed_at":"2026-08-12T11:36:04.371427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.351707Z","title":"Identi- fiable information (pii)","venue":null,"work_id":"f4b279ae-0fb5-40ca-b136-1b61590e2cd0","year":null},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.789388Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:d8af818aaf42945bff3aab175e1f3b3dcd747aba54fedb52eb1cde95f8c4ab32","observation_id":"42f9f2f8-985b-454c-8b44-a9866dd48a31","resolution":{"observed_at":"2026-08-12T11:36:04.356256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.336626Z","title":"Gdxray: The database of x-ray images for nondestructive testing","venue":null,"work_id":"e4968a7f-8ba0-4133-901a-f3b55a360973","year":2015},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.794387Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:24ecd3ec52392a73acf72921b55b9dc1451c0cff35d9b80b0790606b39e0ac65","observation_id":"b3816629-8c98-4d49-b879-f59a5f25b7fb","resolution":{"observed_at":"2026-08-12T11:36:04.341676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.321621Z","title":"Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in 9 overlapping images","venue":null,"work_id":"043ef5d1-9695-4e14-a7ad-87e64d3b7056","year":2019},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.798660Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:3711a1788696cfb66e07ecbba53bbdb11aeac0abbef62fbf76d9f5e028e5e89d","observation_id":"c3b41743-7a13-4d8a-9f21-23f350151272","resolution":{"observed_at":"2026-08-12T11:36:04.326967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.307234Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks","venue":null,"work_id":"36a12ea4-2bb9-4d6f-844b-e0d0fb10b72f","year":2015},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.803085Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:fb7a876ef8920a380abd4152d5c07167c51c33e07b80a63c4bf03772fe2c3135","observation_id":"cd4d1ee4-613d-4982-bc1c-4350fafde02b","resolution":{"observed_at":"2026-08-12T11:36:04.311892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.290278Z","title":"M5hisdoc: A large-scale multi- style chinese historical document analysis benchmark","venue":null,"work_id":"6387c00f-3aa4-4f8b-8441-3396faaecc42","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.808002Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:9c8acc0a7640cb613abc0bf70e2999817dc8d58a669d35189c5f6934f8a69c70","observation_id":"0c242823-aaeb-440e-9249-c5012ff62915","resolution":{"observed_at":"2026-08-12T11:36:04.295416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.275556Z","title":"Spokenwoz: A large-scale speech-text bench- mark for spoken task-oriented dialogue agents","venue":null,"work_id":"d0000e44-73e1-4c7a-8bd4-61bf4505f1f3","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.812510Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:602d1866c0581a15cd93e6ec8f8919d098336b0fec010056067f6d3b54abd558","observation_id":"42c93ddc-9005-427b-9a79-94f800d0b14b","resolution":{"observed_at":"2026-08-12T11:36:04.280347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.259009Z","title":"Multi- view x-ray r-cnn","venue":null,"work_id":"0a009b72-b648-488c-9016-79b20eafb9b7","year":2018},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.817007Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:2debdbcca1614c600a8e79a396d91fd29b63dec10a4de7fa18f1a0a5d4e2100f","observation_id":"bb57337f-4f84-49fb-a16d-2a1cb0658385","resolution":{"observed_at":"2026-08-12T11:36:04.263608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.243947Z","title":"Sparse r-cnn: End-to-end ob- ject detection with learnable proposals","venue":null,"work_id":"5c91478f-3dc9-4e01-8d99-bb4ad269563b","year":2021},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.821479Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:9b776e368b9465b50bda00d5d764b570cd905c5ec86b77d7751b241e5f45b346","observation_id":"376434c3-d4ad-477c-8d87-28eb1fb962b1","resolution":{"observed_at":"2026-08-12T11:36:04.248726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.228421Z","title":"Towards real-world x-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection","venue":null,"work_id":"b0d7c020-2fb8-4885-8bef-421353b4c05b","year":2021},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.826219Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:de1a8e9841ad824fde465f0d6a35131a4fe5a7564bea8f20bc9ab9db126f5c60","observation_id":"2bafeb20-9396-47bf-9861-347ef80a30a4","resolution":{"observed_at":"2026-08-12T11:36:04.233512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.214238Z","title":"Exploring endogenous shift for cross-domain detec- tion: A large-scale benchmark and perturbation suppression network","venue":null,"work_id":"138f5d10-17f8-46bf-ba4d-735bf6fc21f9","year":2022},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.831937Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:c8faea0df97718e5f3d3c3019eb2cf04538b427f2d26c4ee1bc2273d18eddf3f","observation_id":"c87fa2a5-2b27-40e9-9b75-d87032a756d9","resolution":{"observed_at":"2026-08-12T11:36:04.218881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.199795Z","title":"Few-shot x-ray prohibited item detection: A benchmark and weak-feature enhancement net- work","venue":null,"work_id":"a545a6cf-72ed-462b-a5d6-5e0f61cd9de1","year":2012},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.837321Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:541b9fc927f0957e9bb5457c35aa757d90b1b6b6c953ed209b5c48fdcd92b549","observation_id":"833ff339-8123-46a5-9eff-6f4c687e843f","resolution":{"observed_at":"2026-08-12T11:36:04.204468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.183646Z","title":"Towards real-world prohibited item de- tection: A large-scale x-ray benchmark","venue":null,"work_id":"418a94fc-cb85-4cdc-80d4-eaecd21a79f5","year":2021},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.841730Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:4edb2abd5a9d2977f4e35372d93b679b0d740c3f4bff96427fb648aa8baca78d","observation_id":"1e6b495b-6c23-4926-a92b-a526abb0bd68","resolution":{"observed_at":"2026-08-12T11:36:04.188384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.168450Z","title":"Occluded prohibited items de- tection: An x-ray security inspection benchmark and de- occlusion attention module","venue":null,"work_id":"7b6b8fe2-0ac8-43b8-97b4-76e3daaec0be","year":2020},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.846219Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:461321e8c23dab946c0bb503edc4860e88f31fc25d68d472031803333f28361b","observation_id":"e3da7e62-d6d9-45c9-a009-6b889a15281b","resolution":{"observed_at":"2026-08-12T11:36:04.173462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.153883Z","title":"Dualray: Dual-view x-ray security inspec- tion benchmark and fusion detection framework","venue":null,"work_id":"7c70e4e1-0aee-4a45-b76f-59ac203b2ff0","year":2022},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.850656Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:82e27d52b3d22e06b39a425c9b92b1a8b783b4021ea8e8639e5489833a3e03a2","observation_id":"d0bad8ff-be99-4774-80c3-4395f563f16d","resolution":{"observed_at":"2026-08-12T11:36:04.158601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.139141Z","title":"Deep gradient projection networks for pan-sharpening","venue":null,"work_id":"ad562e79-32c8-4483-9461-4f89e249d6c3","year":2021},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.854877Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:d3c75a456399681612b7f7bab2fbabaa71084995e0de38118565f0b58ff869ef","observation_id":"bc1fabca-0347-429e-abcf-a0ac61046144","resolution":{"observed_at":"2026-08-12T11:36:04.144113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.122962Z","title":"Reppoints: Point set representation for object detection","venue":null,"work_id":"cb8df783-2b88-4df6-8066-1cb3bde6bf6b","year":2019},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.859293Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:160020eebfa5f899be23ab27e3ee8e9e4a2862ef7f6a1bdcee94382848973734","observation_id":"93519b5f-4690-49e3-97a9-47938a8a8d34","resolution":{"observed_at":"2026-08-12T11:36:04.128241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.107849Z","title":"Collapsed inference for bayesian deep learning","venue":null,"work_id":"2ba25e3d-d585-4620-8c1d-3077d083e774","year":2024},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.864311Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:d96f050c179c062329d8990f041a601161b467dd500c92bb155a8ed2232e4e55","observation_id":"93f7e228-5fae-475f-b6a3-b913d2afdd1e","resolution":{"observed_at":"2026-08-12T11:36:04.112551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.092951Z","title":"Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection","venue":null,"work_id":"37a1f914-a1fb-447f-9f43-f0419b667ccf","year":2020},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.868897Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:c23d4973d8e6727a060ac1045f1186869b2367e79a3af17e76c958fdeebd1cc0","observation_id":"50033a84-0c53-44a2-a4b3-0c797ffaf7de","resolution":{"observed_at":"2026-08-12T11:36:04.098136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.077987Z","title":"Detecting overlapped objects in x-ray secu- rity imagery by a label-aware mechanism.IEEE transactions on information forensics and security, 17:998–1009, 2022","venue":null,"work_id":"2ccf1356-7f67-4846-9c59-3cc118089483","year":2022},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.873756Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:bf174a51b74e41193e3357e0b54b499c5ab0d4f48a8ba55588b32288b0b62988","observation_id":"363ff69a-7bc7-4be8-8123-0b2cd3f51d7a","resolution":{"observed_at":"2026-08-12T11:36:04.082774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.061584Z","title":"Discrete cosine transform network for guided depth map super-resolution","venue":null,"work_id":"f9d167ff-1bb9-4ccf-882c-ca7d39cef9ec","year":2022},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.878504Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:7bb92de7d19def9762a23a081469df82f648efd2665d9a235aeb0e8201e8be2e","observation_id":"473d274b-d351-4760-98fa-6de535adaa06","resolution":{"observed_at":"2026-08-12T11:36:04.067452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T11:36:04.043562Z","title":"Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion","venue":null,"work_id":"822f69d3-f9a5-42d4-9630-9c46bfcdcf6e","year":2023},"citing_paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T11:36:03.882672Z"},"links":{"citing_paper":"/paper/2411.18082"},"observation_digest":"sha256:71412f912e7ee3a72ba642378ee0018e514a1c6b219405839d610a4bdac7891e","observation_id":"e245d202-83c8-489d-a535-4e190c8b59b9","resolution":{"observed_at":"2026-08-12T11:36:04.050078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.18082","last_updated":"2024-11-27T06:36:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T06:57:51.917873Z","submitted_at":"2024-11-27T06:36:20Z","title":"Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":37},"total_outbound_references":41},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2411.18082."}