{"as_of":"2026-08-09T15:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:62c4af6fd38b32cb6ba9ba13fa9ba5e08a7c3cc608988df25748e688dd949ac0","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:54:49.839946Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T19:05:56.065551Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-15T17:00:10.201437Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"cited_work":{"arxiv_id":"2508.06313","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.06313","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9aeb170b-652e-4768-b139-322f653c730b","year":2025},"citing_paper":{"arxiv_id":"2603.03965","last_updated":"2026-06-16T07:43:34Z","snapshot_observed_at":"2026-08-04T03:31:13.278608Z","submitted_at":"2026-03-04T11:55:53Z","title":"Adaptive Modular Geometric Control of Robotic Manipulators","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-15T16:58:16.813369Z"},"links":{"cited_paper":"/paper/2508.06313","citing_paper":"/paper/2603.03965"},"observation_digest":"sha256:8a7de2dd8e8b44f3c9aa0c1f8ae4f5823c34dd4a6ddf1a320e73e2c9837f983e","observation_id":"5b14d477-db14-463e-b46f-bf94eaf4a466","resolution":{"observed_at":"2026-05-15T17:00:10.205332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.06313","snapshot_observed_at":"2026-08-02T19:05:56.065551Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.03965","last_updated":"2026-06-16T07:43:34Z","snapshot_observed_at":"2026-08-04T03:31:13.278608Z","submitted_at":"2026-03-04T11:55:53Z","title":"Adaptive Modular Geometric Control of Robotic Manipulators","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T19:05:56.065551Z"},"links":{"cited_paper":"/paper/2508.06313","citing_paper":"/paper/2603.03965"},"observation_digest":"sha256:00bae8b6543b6c8ce796382cdbb287197b66f0a7274573466ffc84e56e61362b","observation_id":"7b732c75-f584-41ed-b093-655153130911","resolution":{"observed_at":"2026-08-02T19:05:56.065551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.06313/citation-record","integrity":"/paper/2508.06313/integrity","json":"/paper/2508.06313/citation-record.json","paper":"/paper/2508.06313"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.239601Z","title":"Ubnor- mal: New benchmark for supervised open-set video anomaly detection","venue":null,"work_id":"ba7d568d-f3d7-473b-bb1e-125b59f1bb58","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:46.803449Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:64f1a6c0eff44c5b7ab778a790839ab06163f6adc77eba5e8e12fbfd94dce0dd","observation_id":"09ce8b72-22fe-451b-b723-6d31b93a4e46","resolution":{"observed_at":"2026-08-05T22:54:50.241727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.234123Z","title":"What’s the point: Semantic segmentation with point supervision","venue":null,"work_id":"cef6fc7c-9e05-451a-89f0-9fc02e137624","year":2016},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:46.890116Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:836f5491ea10fb1e73b56dd4d1d3754fd52d46539794c04b37fc9c2ca4f25f69","observation_id":"f9c92099-682d-40d0-8334-e6e742159b29","resolution":{"observed_at":"2026-08-05T22:54:50.236278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.228476Z","title":"Is space-time attention all you need for video understanding? In ICML, page 4, 2021","venue":null,"work_id":"21ddf777-591b-43d6-9d90-9512276e3a8d","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:46.957788Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:e2d32a633cb0b894e4421615897cde20de094711a0feb981eaab9783654e3c41","observation_id":"b8dc7ac5-c319-45a1-8bd2-f450d8be9245","resolution":{"observed_at":"2026-08-05T22:54:50.230648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.223045Z","title":"Quo vadis, action recognition? a new model and the kinetics dataset","venue":null,"work_id":"c43e7b24-9507-4c4b-8f72-67e5dccffaeb","year":2017},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.054623Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:a2a157c7d966b5b722fda48809b56ebc345f20939bf4244299573f93bc71d95d","observation_id":"fe6f2be3-4f20-4a65-8a72-5a4c57abb5fd","resolution":{"observed_at":"2026-08-05T22:54:50.225020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.216880Z","title":"Deep analysis of cnn-based spatio-temporal representa- tions for action recognition","venue":null,"work_id":"fe20830c-dc96-46fe-9b14-4b1117ae4f67","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.123784Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:7602ac90c725b52eee79a5a757954b9614e957aefc1fa544e08175f98b049010","observation_id":"e10f92bf-1768-4d79-b2ab-d925db2f469a","resolution":{"observed_at":"2026-08-05T22:54:50.218800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.211076Z","title":"Tevad: Improved video anomaly de- tection with captions","venue":null,"work_id":"8113eadd-4b3e-48cd-b545-7d02dedc3af2","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.178034Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:09793070e4d2e612952e1cf4c9b73a058414ebaa9220eddc6ffdc121ecff5831","observation_id":"e60c9a32-8b1d-4e6d-a4ee-e5f5552596f7","resolution":{"observed_at":"2026-08-05T22:54:50.213297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.205378Z","title":"Mgfn: Magnitude- contrastive glance-and-focus network for weakly-supervised video anomaly detection","venue":null,"work_id":"1be764cf-a543-4fa0-b1a3-99d83e0cdcf6","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.266935Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:48904a8a5a7c8187825e5f5f38764fff84bc01c3cbdab21ba8432423c2fb4866","observation_id":"26feb913-4dbb-4d18-b03c-a33833af7868","resolution":{"observed_at":"2026-08-05T22:54:50.207563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.199850Z","title":"Look around for anomalies: Weakly-supervised anomaly detection via context-motion relational learning","venue":null,"work_id":"dbbd3530-8cbd-4dfe-af2a-ad80debb1144","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.333084Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:ffd4f587e41bef592b2ddc8999d92298cd8a158281834adf8fbb651b365ace9a","observation_id":"2bc3dc70-686c-47e4-ac3c-ea2d6bf5a5f0","resolution":{"observed_at":"2026-08-05T22:54:50.201882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.4314","last_updated":"2014-03-09T20:15:03Z","snapshot_observed_at":"2026-07-06T03:30:57.897408Z","submitted_at":"2013-12-16T11:15:10Z","title":"Learning Factored Representations in a Deep Mixture of Experts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.4314","snapshot_observed_at":"2026-08-05T22:54:47.388626Z","title":"Learning factored representations in a deep mixture of ex- perts","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.388626Z"},"links":{"cited_paper":"/paper/1312.4314","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:4d79bc1abe1e7bd3f991a3c2a25686ff2eab3ddc0d0312d2d713429c0a3b9314","observation_id":"d6494fef-9820-457e-bf42-6fb90d6b2bad","resolution":{"observed_at":"2026-08-05T22:54:47.388626Z","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":"2026-08-05T22:54:50.193485Z","title":"Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity","venue":null,"work_id":"a0dd152c-e9b0-4f5a-abeb-9549f789852a","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.513692Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:b2cd87dcc691b6be344a711506fe24f4d04c1aef8499ef9d5bd5784f23ed6c66","observation_id":"2992902d-f5d1-428b-9d67-3aca5a676e5a","resolution":{"observed_at":"2026-08-05T22:54:50.195578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.187364Z","title":"Mist: Multiple instance self-training framework for video anomaly detection","venue":null,"work_id":"6a351ae2-6df8-4065-8d6d-e1161a1e647b","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.617559Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:bda63f3ab3ed468e8e53831bb1f4f74bc4a401594d02d65d008737d70aaac7ef","observation_id":"d48e716a-1168-4123-891e-274606fb5f4e","resolution":{"observed_at":"2026-08-05T22:54:50.189751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.181453Z","title":"Anomaly detection in video via self- supervised and multi-task learning","venue":null,"work_id":"ea57e6af-1890-4f7a-b5bc-6357e35da79c","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.741743Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:b65bc100a926dc23958684d9606058074c71028e3460ba456299c065bd013c5b","observation_id":"e03f049d-2fcc-4280-9f58-533a76c1c728","resolution":{"observed_at":"2026-08-05T22:54:50.183710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.175756Z","title":"A background-agnostic framework with adversarial training for abnormal event detection in video","venue":null,"work_id":"e16cad3f-15e2-4e5d-9094-1c2348bac836","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.886389Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:5705ef344bccff207d1a677a771d453e49d1ce2f664ef4cd228596b2c3fa3f17","observation_id":"35f202c2-36f8-41cb-8488-9cdfb1342ec0","resolution":{"observed_at":"2026-08-05T22:54:50.177758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-07-06T05:01:27.910364Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-05T22:54:47.948655Z","title":"Bridging nonlinearities and stochastic regularizers with gaussian error linear units","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:47.948655Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:58db1d6ba9446af716986f9f9fe14911236b945ac058d5f77f2b5eaacf45a4f1","observation_id":"29c05b5f-bd80-4087-989a-58cab3a02b50","resolution":{"observed_at":"2026-08-05T22:54:47.948655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19985","last_updated":"2024-07-30T17:26:22Z","snapshot_observed_at":"2026-07-06T18:53:18.201717Z","submitted_at":"2024-07-29T13:19:31Z","title":"Mixture of Nested Experts: Adaptive Processing of Visual Tokens","version":2},"cited_work":{"arxiv_id":"2407.19985","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.19985","snapshot_observed_at":"2026-08-05T22:54:49.896531Z","title":"Mixture of Nested Experts: Adaptive Processing of Visual Tokens","venue":"cs.CV","work_id":"8109c930-94db-4b80-bb25-3cd60cecb51d","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.016686Z"},"links":{"cited_paper":"/paper/2407.19985","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:409dcbcc4e3952d7376d222b1f795189d07239381853e8f2a0846cabce78a552","observation_id":"9c5747d8-f6e5-4812-a0eb-2dfdf31f82c4","resolution":{"observed_at":"2026-08-05T22:54:49.898643Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.169277Z","title":"Clip-tsa: Clip-assisted temporal self-attention for weakly-supervised video anomaly detection","venue":null,"work_id":"65f7c546-6058-48b2-97e7-77a7d58dfea9","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.063168Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:579bf18fa2e3e4649f1cdf9364d73414306f9cf6f77bf02171b35efa66b7d7eb","observation_id":"e31451b4-a63f-4ce0-a843-b63c4b7ad6ec","resolution":{"observed_at":"2026-08-05T22:54:50.171964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:48.169558Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.169558Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:93a36f3e5700ed53b7d938f1a9f0145d3a0ae388bb0a8ef01add5da2c7e19ddf","observation_id":"c6ca1031-7283-43ea-9f22-9677b407dcf3","resolution":{"observed_at":"2026-08-05T22:54:48.169558Z","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":"2026-08-05T22:54:48.333499Z","title":"Point-based neural rendering with per- view optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.333499Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:33664df0bb7e3f02c0bd49efc3b21182a6d2e135e704d832a85371dd72ac9133","observation_id":"4015e02f-8659-4785-9ba0-dd48afd96d4b","resolution":{"observed_at":"2026-08-05T22:54:48.333499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.16668","last_updated":"2020-06-30T10:42:02Z","snapshot_observed_at":"2026-08-07T09:27:36.420559Z","submitted_at":"2020-06-30T10:42:02Z","title":"GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.16668","snapshot_observed_at":"2026-08-05T22:54:48.490986Z","title":"Gshard: Scaling giant models with conditional computation and automatic sharding","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.490986Z"},"links":{"cited_paper":"/paper/2006.16668","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:aad07d50b628bf045fc658c5a97588c00a70ef27ab245dba52d45b0497eb5a96","observation_id":"88d6f48d-4ef6-4d5b-aaf6-508b41de1588","resolution":{"observed_at":"2026-08-05T22:54:48.490986Z","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":"2026-08-05T22:54:50.149833Z","title":"St-4dgs: Spatial-temporally consistent 4d gaus- sian splatting for efficient dynamic scene rendering","venue":null,"work_id":"7dde0c16-316d-4d91-a9a0-2f57896a3ace","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.568334Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:5b1c711e3a77e659677d0481c318e9142a7850ab9286a9656a041f496fa740ad","observation_id":"49ad0f6e-3280-42a3-bdad-cb113ab9dd9e","resolution":{"observed_at":"2026-08-05T22:54:50.152365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.141093Z","title":"Scale-aware spatio-temporal relation learning for video anomaly detection","venue":null,"work_id":"6a1070f9-a6f9-4595-a9c0-bee54ca5c28d","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.772480Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:dff4818e8b616e8874843bcb4b09d8af307fadc00e6d2b15a1e586778700acfc","observation_id":"dbdd7b5f-1004-44ac-8817-08e5c7525b88","resolution":{"observed_at":"2026-08-05T22:54:50.143312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.135525Z","title":"Self-training multi- sequence learning with transformer for weakly supervised video anomaly detection","venue":null,"work_id":"b02914a3-f87d-41b1-b3da-92524a0b5f66","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.837572Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:8d0b0e55727dbf164534bec1a25dca1ba1e2edd103518927468f1ae8b87ca512","observation_id":"2fad6b0d-82ca-4edc-a533-8836b2bbc289","resolution":{"observed_at":"2026-08-05T22:54:50.137486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.130255Z","title":"Self-training multi- sequence learning with transformer for weakly supervised video anomaly detection","venue":null,"work_id":"49dbca83-ae81-4619-8ecf-00ac8bc1a798","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.915451Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:0eaffb5f630db1f0c2e259d1a0ed70dc0fc1c6f0fb7e457731b44ec42e751d6f","observation_id":"a20d5c82-f144-4111-a882-9059cbb85ae7","resolution":{"observed_at":"2026-08-05T22:54:50.132277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.124660Z","title":"Spacetime gaus- sian feature splatting for real-time dynamic view synthesis","venue":null,"work_id":"0d64653f-e1d2-4ab7-9b20-c5d0862f3faa","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.012350Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:db53d880c43e39323390f3d1c5660097cbe6940e9d4c8b110755f94076fd7955","observation_id":"59facb21-fc45-4a5b-96bb-0577e9eb6638","resolution":{"observed_at":"2026-08-05T22:54:50.126707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.119383Z","title":"Least squares quantization in pcm","venue":null,"work_id":"bdaa6dd5-cc6e-48e2-b20a-d5160776db55","year":1982},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.077973Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:11ab6d29bb4817a68bb9cd6cd822c9b1e7957ed6d525060fa941cab16c1ad1c7","observation_id":"ba7105e8-7f26-46ba-a179-5431ac2f67d0","resolution":{"observed_at":"2026-08-05T22:54:50.121367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T22:54:49.149061Z","title":"Fixing weight decay reg- ularization in adam","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.149061Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:c1a89f1e52fabb575967edbb557b654d5d2de2a9e456eeac591abfc43dad7489","observation_id":"a26ea4d3-68d7-47c8-bd47-06d7385a298e","resolution":{"observed_at":"2026-08-05T22:54:49.149061Z","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":"2026-08-05T22:54:50.114082Z","title":"Localizing anomalies from weakly-labeled videos","venue":null,"work_id":"650782cd-553c-4ba0-9c62-35264cb91516","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.204405Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:da476f57405674b86fb60f05cdc198da44f1fd9847cb259c6a87f7354f80ac64","observation_id":"d127cdf7-df9d-4dfb-9d61-011938715726","resolution":{"observed_at":"2026-08-05T22:54:50.116113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.107998Z","title":"Unbiased multiple instance learning for weakly supervised video anomaly detection","venue":null,"work_id":"5c9f8826-f7c3-4fad-a734-cb718293177f","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.312562Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:990f28f5dc4bc8a4080fa75f3ecbf7be789595b454ffa1387e7eb874d236b340","observation_id":"87e8d7a9-ad60-4d05-87cc-c28dc413d768","resolution":{"observed_at":"2026-08-05T22:54:50.110320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.102061Z","title":"Human- scene network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection","venue":null,"work_id":"3b17f612-6ce7-4466-a2ba-952d8aae5e39","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.446906Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:187263d017b7a09edad2954491d95ad74948d996bae066ebaba74c57ce92d1d1","observation_id":"60a6b8b4-c303-4cdb-8492-8aea46e9d73e","resolution":{"observed_at":"2026-08-05T22:54:50.104114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.095418Z","title":"Oe- ctst: Outlier-embedded cross temporal scale transformer for weakly-supervised video anomaly detection","venue":null,"work_id":"1d54e43e-95ae-454c-8099-d63f2eac760a","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.567959Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:032afb36f812657851f33be1935dce50500a979c70b5eccb77a22cbd135b78e2","observation_id":"7cb5a186-6aae-44f7-844f-9fe48275cb06","resolution":{"observed_at":"2026-08-05T22:54:50.098151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.089419Z","title":"Just dance with pi! a poly-modal inductor for weakly-supervised video anomaly detection","venue":null,"work_id":"5d61f19d-fa8c-463b-a7b5-1676db2fc0f5","year":2025},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.639406Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:1b38bc7110fb03cfb5d2fbabfb0ec38b3ccf5d6f8ea2f23632991e938bf44172","observation_id":"87c1f5ea-1632-4138-8a14-5955f65ad881","resolution":{"observed_at":"2026-08-05T22:54:50.092013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.083875Z","title":"Multimodal contrastive learn- ing with limoe: the language-image mixture of experts","venue":null,"work_id":"be2adf4a-2ff1-4f68-a817-c7dc389ab0d4","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.779049Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:6545e2af0f6a73f3eafe61d48f118b26615f59f7e96d20029d299851862f08f8","observation_id":"6ce72b89-170c-43ff-9fb9-b2d1890a5f0e","resolution":{"observed_at":"2026-08-05T22:54:50.085924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.077265Z","title":"From sparse to soft mixtures of experts, 2024","venue":null,"work_id":"56c2caa7-78e3-4303-a28e-613b0f69ec20","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.780993Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:8cb73f47552ddc93279d76340fa0239b147d278d5af24df59e52dc16664fd7d9","observation_id":"421f7be1-474c-40fa-86fa-ccf254377041","resolution":{"observed_at":"2026-08-05T22:54:50.079462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.070059Z","title":"Dance with self-attention: A new look of conditional ran- dom fields on anomaly detection in videos","venue":null,"work_id":"7b854e64-6bc6-4ee0-9846-3e202fc7f3fc","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.783568Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:4b00ce2ba930a9de97f032c298c44929157c7ac43e76dc7bc964ae764849d671","observation_id":"4ea96fe6-1c7b-42f9-9e27-0496cf68b1ae","resolution":{"observed_at":"2026-08-05T22:54:50.072878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.064474Z","title":"Scaling vision with sparse mix- ture of experts","venue":null,"work_id":"c1096080-636f-49f3-bc75-61d6076c9cdd","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.785543Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:1a97ba16e1ce3bd81238894e796fe09adc4760d7346095360ce897a53c1999e3","observation_id":"66ee1d72-32f7-4157-b5e3-3895be6889c9","resolution":{"observed_at":"2026-08-05T22:54:50.066590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.059033Z","title":"Real-world anomaly detection in surveillance videos","venue":null,"work_id":"593621ff-c2e6-4180-b084-8fbf92071162","year":2018},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.787500Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:10d3643621483a091877360244afc440dabe640c01edaf96b04fa832893a9b3c","observation_id":"fe71f364-3292-4ae6-b5dc-51417e656388","resolution":{"observed_at":"2026-08-05T22:54:50.061000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.053989Z","title":"Real-world anomaly detection in surveillance videos","venue":null,"work_id":"6916a2c1-db31-4f1a-a871-af426178bcdb","year":2018},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.789765Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:119445ae2fe218886bf0b9ed109978b71627c7af2f6366bffd3a0a3d7fd4dc07","observation_id":"326fa48a-f99f-412c-bbe8-122bac933d02","resolution":{"observed_at":"2026-08-05T22:54:50.055939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.048457Z","title":"Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning","venue":null,"work_id":"11ce753e-6fb8-47cb-892a-c922fd9e2b5a","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.791474Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:43ac1780e85903f364cfb61a3272b5aae9038f691f4d7b1f5d672d7e48f460ec","observation_id":"cc334445-4dd5-4a4f-99b7-07ce4713222c","resolution":{"observed_at":"2026-08-05T22:54:50.050660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.042951Z","title":"Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning","venue":null,"work_id":"ff97d5a4-e825-4a47-a875-b65b6f2edc03","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.793666Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:619dc7e9b51aac1ec7d8388ae1c01743b4ef03b70e687b386949ab47d227cb57","observation_id":"de76911f-67c7-43cb-8482-bbe3650fc81d","resolution":{"observed_at":"2026-08-05T22:54:50.045097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.037678Z","title":"Visualizing data using t-sne","venue":null,"work_id":"eeb88071-c2c7-4e93-b974-1622509eba2b","year":2008},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.795375Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:ab7f7eeb6789998f0616e9c0bec211333463b996fea7f3c7103a79d06224e6e3","observation_id":"fbbd65f8-9be8-42cd-a963-a7fd9c028e4c","resolution":{"observed_at":"2026-08-05T22:54:50.039603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.031980Z","title":"Not only look, but also 10 listen: Learning multimodal violence detection under weak supervision","venue":null,"work_id":"686968d4-b04d-4a52-8b0e-84acfbba9f7e","year":2020},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.797133Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:1f40216c80ecdd1fb00b0615bfbc70b34844b7aff6e14c239c0fae5267c8c530","observation_id":"53419f11-3593-4a38-ad0d-05cdb45a3507","resolution":{"observed_at":"2026-08-05T22:54:50.034024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.024812Z","title":"Weakly supervised audio-visual violence detection","venue":null,"work_id":"70b0a25b-78c8-41b2-b842-8485fb3073d2","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.799838Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:984fafd5d13c913b4b69327f7ddb310baabb410d0676603dc7306dd10ec390f1","observation_id":"e0041726-02cb-4fe2-909c-0954a5b14363","resolution":{"observed_at":"2026-08-05T22:54:50.027682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.156658Z","title":null,"venue":null,"work_id":"b36db87c-8d71-452d-b28f-d550350b752b","year":2021},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.420479Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:e9c5e151c88242ae075fa67e2fff90768d139f1d5f6588cd5d618feba2e7fcde","observation_id":"8e12d56c-3475-434a-b2a6-6ebcccacf210","resolution":{"observed_at":"2026-08-05T22:54:50.158639Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.013547Z","title":"Towards high- quality hdr deghosting with conditional diffusion models","venue":null,"work_id":"96d67051-2069-4c4b-82a5-bfb388a0cb73","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.803516Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:12dd7e08d3253ad40b48add286ffaf35a7bf674f70f3f8c4df0ba80551dc25ab","observation_id":"b6340b05-5fea-4b56-90e3-6fb27bac832d","resolution":{"observed_at":"2026-08-05T22:54:50.015727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.019366Z","title":"Vadclip: Adapting vision-language models for weakly supervised video anomaly detection","venue":null,"work_id":"fbb9e68b-9b62-4bf8-b99d-d2d0a56dd27f","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.801688Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:b661da1b8ba1d11edb7d342b8138311e96a06a0358614198d9606b23fc393c04","observation_id":"2ce5cf8f-9c03-4128-b005-acb22e29947b","resolution":{"observed_at":"2026-08-05T22:54:50.021444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.001710Z","title":"Cloze test helps: Effec- tive video anomaly detection via learning to complete video events","venue":null,"work_id":"91213b21-d59f-4205-b702-88eebbabb389","year":2020},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.807170Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:1d066eae56ca936cd20c3b046de948716b72699879d8163f95f4c19e2dd4ac47","observation_id":"9fa9f857-c390-4345-82da-ebed4cb37e26","resolution":{"observed_at":"2026-08-05T22:54:50.003884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:50.007680Z","title":"Text prompt with nor- mality guidance for weakly supervised video anomaly detec- tion","venue":null,"work_id":"023ccc52-bc4f-4148-8044-f45125d6e813","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.805402Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:078dfceeaff57d0ff1cfba0992bcecc9f2b9fb5120b7d22b292f6552d6c0c102","observation_id":"fb5f5e27-4182-4f0b-892e-d87b5a96072e","resolution":{"observed_at":"2026-08-05T22:54:50.009899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.990622Z","title":"Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection","venue":null,"work_id":"7c9d6496-5fa3-4dd9-9d74-e39fa5924744","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.810735Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:a49f7b7006f8e27fc4882039a6f76c114cdffe83dbe0c1d917837c0e8ed11e1f","observation_id":"2f0c0b03-d93c-4f6e-bc38-49d1a64dc894","resolution":{"observed_at":"2026-08-05T22:54:49.992712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.995818Z","title":"Modality-aware contrastive instance learning with self-distillation for weakly-supervised audio-visual violence detection","venue":null,"work_id":"c9a2f315-2bf6-41a6-9f49-82259b040634","year":2022},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.808882Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:5df2ef244e512272a0a11d834c1fe1f6a27df4e4493d8335c473ea8e51feda4e","observation_id":"e7a5cf70-e722-4e9b-a77a-11e1775acc53","resolution":{"observed_at":"2026-08-05T22:54:49.997807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06154","last_updated":"2024-03-12T02:44:36Z","snapshot_observed_at":"2026-08-08T06:02:26.334355Z","submitted_at":"2024-03-10T09:57:10Z","title":"GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection","version":2},"cited_work":{"arxiv_id":"2403.06154","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.06154","snapshot_observed_at":"2026-08-05T22:54:49.876742Z","title":"GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection","venue":"cs.CV","work_id":"7767bfa1-0c0c-4df1-9154-76c1f33f367d","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.814368Z"},"links":{"cited_paper":"/paper/2403.06154","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:73a13794c61db3fb33fc34c02f6a2935d7bc7559ce15b32a5b067372ec52942d","observation_id":"2adfc4d5-a510-4407-8fbc-a9b4761a6bae","resolution":{"observed_at":"2026-08-05T22:54:49.878992Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.984097Z","title":"Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection","venue":null,"work_id":"5ab6a824-2b93-49a9-b77b-f8a12426fbab","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.812526Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:a4a661a73a9b38607c764574895ca645c2e56167723c5cf595873fee39d13e7a","observation_id":"bde07726-1744-4711-bba0-5ea14acf6c5f","resolution":{"observed_at":"2026-08-05T22:54:49.986643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.972328Z","title":"Togs: Gaussian splatting with temporal opacity offset for real-time 4d dsa rendering, 2024","venue":null,"work_id":"5a367565-f5a0-4d54-8343-225438caacb8","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.818529Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:61689df32e418ebe2cf876c4001f9cf7dff9f2b2b7425bdaea65fa3e96a011a4","observation_id":"a553cbe1-2009-48a5-9303-606624a9a815","resolution":{"observed_at":"2026-08-05T22:54:49.974466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.978028Z","title":"Temporal con- volutional network with complementary inner bag loss for weakly supervised anomaly detection","venue":null,"work_id":"18b3cc00-4710-4803-af5e-2f6109c64736","year":2019},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.816683Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:30fd564085fa607a846904f0405037c5e6352da93b6e254b636e6650208cddcf","observation_id":"7578d806-f62f-44cb-afaf-f006037087bf","resolution":{"observed_at":"2026-08-05T22:54:49.980640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.958240Z","title":"Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection","venue":null,"work_id":"84f77500-e8ce-4edc-8402-2495ea0654c5","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.822659Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:0ab30752346c3c8f76eede5a91a4fc65e4648aa0789370e5299a8e17df0a77f3","observation_id":"fa4b9495-8750-4a7b-958d-af2cec924fe8","resolution":{"observed_at":"2026-08-05T22:54:49.961299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.964843Z","title":"Li, and Ge Li","venue":null,"work_id":"602a5f2c-0d04-4c14-a0b8-1a3df1bb1228","year":2019},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.820856Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:e79d7b5faabfef4fa307d5750e235c65a1b89ef5d623fa506c6d8a3042239da0","observation_id":"b9393c6f-740f-483f-96bd-d385d535dd9e","resolution":{"observed_at":"2026-08-05T22:54:49.967209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.951123Z","title":"Dual memory units with uncertainty regulation for weakly supervised video anomaly detection","venue":null,"work_id":"48cc5dad-54f3-4bdb-afa7-83a30df88adc","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.826273Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:84fcb337b49cc121c1406befd4072d4d889f0d57f0453bc996912ccbbd3f2b97","observation_id":"503a710d-9540-455e-a1f7-a841fc10e4f8","resolution":{"observed_at":"2026-08-05T22:54:49.953934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05160","last_updated":"2023-02-10T10:39:40Z","snapshot_observed_at":"2026-07-06T14:50:26.417454Z","submitted_at":"2023-02-10T10:39:40Z","title":"Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection","version":1},"cited_work":{"arxiv_id":"2302.05160","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.05160","snapshot_observed_at":"2026-08-05T22:54:49.869180Z","title":"Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection","venue":"cs.CV","work_id":"eeb54be0-d08d-405d-bc45-6e180c2ac323","year":2023},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.824402Z"},"links":{"cited_paper":"/paper/2302.05160","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:434d31e3a334d200be5f4eca1dc18a1d25f94e741e2e672c4b5743b55f6b1093","observation_id":"f3fcda9b-4be2-4864-b876-62afc219fe43","resolution":{"observed_at":"2026-08-05T22:54:49.871348Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.10211","last_updated":"2019-07-24T02:36:28Z","snapshot_observed_at":"2026-07-06T08:09:45.736165Z","submitted_at":"2019-07-24T02:36:28Z","title":"Motion-Aware Feature for Improved Video Anomaly Detection","version":1},"cited_work":{"arxiv_id":"1907.10211","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.10211","snapshot_observed_at":"2026-08-05T22:54:49.859139Z","title":"Motion-Aware Feature for Improved Video Anomaly Detection","venue":"cs.CV","work_id":"474aab72-fd9e-4825-8ecc-4cb1d9a4c5d3","year":2019},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.829821Z"},"links":{"cited_paper":"/paper/1907.10211","citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:63c404f50fd444f30da8847665da3fd94d9d841a7232cbf7665fafb4905f58ad","observation_id":"d375dc09-2bc8-49c6-99e8-66c6a5a715fd","resolution":{"observed_at":"2026-08-05T22:54:49.863086Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.945686Z","title":"Advancing video anomaly detection: A concise re- view and a new dataset","venue":null,"work_id":"a0c93735-79d8-4cb9-a516-492ca7b9bd47","year":2024},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.828106Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:e8872af66ef49f8eec6acee9af920b18cd233399ea65f43c49f8ab135b41e901","observation_id":"d0488c26-1446-4b5a-aad4-e134b9cc2961","resolution":{"observed_at":"2026-08-05T22:54:49.947742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.939152Z","title":"The I3D implementation chosen is the ResNet50, which is proven to be one of the best-performing [5]","venue":null,"work_id":"afe40c2e-a4ab-4324-be54-e14427ddc1b7","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.831741Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:cbf32cafb9c5414b6862a07b9a544db0d346070b6406122483d0950379a3bcde","observation_id":"db8b9994-46d4-4458-a6be-99742c279352","resolution":{"observed_at":"2026-08-05T22:54:49.941880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.933131Z","title":"We conducted experiments with different peaks thresholds to evaluate the sensitivity of our approach to the selection of peaks","venue":null,"work_id":"4fda3f55-b30b-4e78-844f-aec4d1b017b8","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.833923Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:38ba9eaedf084cfddcf885126843658abf8f0f099d0ecfccd310c8b60855a1a9","observation_id":"8f7a350a-7bd5-4f4a-b361-b7ccfed44351","resolution":{"observed_at":"2026-08-05T22:54:49.935273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.926999Z","title":"The framework, shown in Figure 1, differs from the Gating model detailed in the main paper by the strategy used to leverage the expert’s predictions","venue":null,"work_id":"7881797f-9bee-4629-9a05-39667a93e977","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.835716Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:78b9b7eddc0113573238a0703f3324240eb3d9822f52d5efb3286963be96071b","observation_id":"b827ef85-90bd-4e89-a3c0-f036928106f9","resolution":{"observed_at":"2026-08-05T22:54:49.929376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.920641Z","title":"Shoplifting-015","venue":null,"work_id":"b97fe4d8-a93d-468a-aa81-d3b5add79d8d","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.837968Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:76caf2b3f9b64756bd393fbcd73f22cbe210a4f9f820742cdfd2fa5069e2f556","observation_id":"e96a1a4d-9d61-4d28-a597-c4afe7b90b3a","resolution":{"observed_at":"2026-08-05T22:54:49.922875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:49.914505Z","title":"This dataset is composed of synthetic videos generated in 29 different scenes","venue":null,"work_id":"69b20f60-2321-4037-95de-5839928b8a12","year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:49.839946Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:1cc9d58cc904bf20f149f1dbeef99c0f52d2e05a33e7e79c4517a32172fac39a","observation_id":"5c3e3f25-6fc7-413d-b6a0-51fa5378a2ec","resolution":{"observed_at":"2026-08-05T22:54:49.916755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:54:48.638521Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T22:54:48.638521Z"},"links":{"citing_paper":"/paper/2508.06313"},"observation_digest":"sha256:f577a881862e89266385a5819aa520a7025e90b4129d7fe015e2b577f0a08d9a","observation_id":"7ae081d7-fcc3-42e8-9884-4a8a16870ddd","resolution":{"observed_at":"2026-08-05T22:54:48.638521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.06313","last_updated":"2025-08-08T13:40:37Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-05T22:54:40.121584Z","submitted_at":"2025-08-08T13:40:37Z","title":"Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":4,"verified_fuzzy":53},"total_outbound_references":65},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2508.06313."}