{"as_of":"2026-08-17T09:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a09141d83296a3c0bdb139032396a60a1c1e5ce484c595bf2f5857221ad09ac2","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:08:50.966049Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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":"2026-07-14T18:18:18.399693Z","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":"2026-07-02T19:17:18.445994Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"cited_work":{"arxiv_id":"2505.16215","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.16215","snapshot_observed_at":"2026-07-02T19:17:18.445994Z","title":"Ascalablehierarchicalintrusiondetectionsystemforinternetofvehicles","venue":null,"work_id":"8510430b-0754-4f9f-9000-6772767de0ff","year":2025},"citing_paper":{"arxiv_id":"2606.07804","last_updated":"2026-07-11T06:24:24Z","snapshot_observed_at":"2026-08-14T01:46:58.002205Z","submitted_at":"2026-06-05T19:33:15Z","title":"Communication-Aware Quantum-Inspired Reinforcement Learning for Cyber-Resilient V2X Intrusion Detection and Mitigation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T21:33:31.046681Z"},"links":{"cited_paper":"/paper/2505.16215","citing_paper":"/paper/2606.07804"},"observation_digest":"sha256:336b5760fd0421737274b079f64665ff1bcd66baa16f27832f5c6f8c94fdf490","observation_id":"82a919cc-db9a-49c4-8045-b73da52b1137","resolution":{"observed_at":"2026-07-02T19:17:18.447678Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16215","snapshot_observed_at":"2026-07-14T18:18:18.399693Z","title":"Ascalablehierarchicalintrusiondetectionsystemforinternetofvehicles","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.07804","last_updated":"2026-07-11T06:24:24Z","snapshot_observed_at":"2026-08-14T01:46:58.002205Z","submitted_at":"2026-06-05T19:33:15Z","title":"Communication-Aware Quantum-Inspired Reinforcement Learning for Cyber-Resilient V2X Intrusion Detection and Mitigation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T18:18:18.399693Z"},"links":{"cited_paper":"/paper/2505.16215","citing_paper":"/paper/2606.07804"},"observation_digest":"sha256:f01a5e7126a6b98b8fd7a16be7dce8dc74db0e2f1a399690ceb9ec8192f0a357","observation_id":"a0ad87a8-0a36-4b89-be87-456ec527ae1e","resolution":{"observed_at":"2026-07-14T18:18:18.399693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.16215/citation-record","integrity":"/paper/2505.16215/integrity","json":"/paper/2505.16215/citation-record.json","paper":"/paper/2505.16215"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:02.439262Z","title":"Security issues in internet of vehicles (iov): A comprehensive survey,","venue":null,"work_id":"01010278-c1d7-40c0-a247-33b570d528ae","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:41.942186Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:ca60b5652b9ce6b4eaf4e8efd7e34c9fd2ceade54572f6d99080bdf6aadef970","observation_id":"3e1e7ab1-c15b-4101-84af-aa9821cd71de","resolution":{"observed_at":"2026-08-07T15:09:02.584295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:02.214640Z","title":"Gartner predicts outdoor surveillance cameras will be largest market for 5g internet of things solutions over next three years. 2019","venue":null,"work_id":"6d8e718c-98e1-4360-bde7-a94dcb6c3f23","year":2019},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.039438Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:10f7f99a5b2da9af5138edebaafae05807836345be355c077a769fa665f9a89e","observation_id":"37d62ef9-2c86-4fae-92ab-7ec42dbb3892","resolution":{"observed_at":"2026-08-07T15:09:02.326753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:01.930625Z","title":"Task offloading for edge-iov networks in the industry 4.0 era and beyond: A high-level view,","venue":null,"work_id":"827056fb-ea09-4470-8871-202fda7cbfa7","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.139329Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:d0353ca3b568d41624df28f478eb646fdd11d186b7a4682d3e11108d3562b45e","observation_id":"86e4d0e0-167c-40f0-ad8f-eb996092ccff","resolution":{"observed_at":"2026-08-07T15:09:02.067748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:01.698476Z","title":"Remote exploitation of an unaltered passenger vehicle,","venue":null,"work_id":"c23154f3-35e7-44fb-bce6-9842556e5612","year":2015},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.268060Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:7b2dfdbc3c1f67c0f467424591d4129bf7e66d2c146c607abcdbc486ad7e13ad","observation_id":"23bc0bac-b9d7-4ae5-a3ec-81a13a66b606","resolution":{"observed_at":"2026-08-07T15:09:01.834091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:01.434185Z","title":"An effective intrusion detection approach based on ensemble learning for iiot edge computing,","venue":null,"work_id":"0fc8ef25-82d1-4091-a091-dcd236c6aafa","year":2022},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.351800Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:46226498c6a4ff05d8920e09184b7a795b78b51bcecce1648b3c1526e4c52064","observation_id":"d511df50-84de-473e-9745-33806c5d5b04","resolution":{"observed_at":"2026-08-07T15:09:01.557775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:01.181163Z","title":"Iids: Intelligent intrusion detection system for sustainable development in autonomous vehicles,","venue":null,"work_id":"515cda73-cc5f-4c03-8176-a057c0618172","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.544431Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:ba0fe2393d8b0d711aa252f0102f18d8d5f874c3f31f6bd7a1352cfa1d408e2b","observation_id":"21f2718f-73b6-43e4-bf0e-cd97a4b4da43","resolution":{"observed_at":"2026-08-07T15:09:01.308456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:01.015859Z","title":"Adversarial attacks on intrusion detection systems in in-vehicle networks of connected and autonomous vehicles,","venue":null,"work_id":"3aca59ea-de18-4547-8b1c-ff130a249cf4","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.664093Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:7393b069414b2c16c4440f8d3f21ea575140ab0d6df204f9d4384d2ab55ed47e","observation_id":"4a32e10e-4bb3-4f09-9a99-f2b06141bc72","resolution":{"observed_at":"2026-08-07T15:09:01.082223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:00.852768Z","title":"Mth-ids: A multitiered hybrid intrusion detection system for internet of vehicles,","venue":null,"work_id":"24187811-5dc5-4a3c-bba4-f1b397e0b89e","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.796329Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:0f35223aa67260b6b4bc17ae0a1ab66739b73d5817fb5a08da548c8358f9dc59","observation_id":"1573c9cc-2b4a-46ad-89a0-bd9b65dd8998","resolution":{"observed_at":"2026-08-07T15:09:00.921008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:00.631298Z","title":"Ciciov2024: Advancing realistic ids approaches against dos and spoofing attack in iov can bus,","venue":null,"work_id":"6dceb26c-910a-49cb-ad90-96fae19c5e5d","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.890473Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:a2f253b60e9de002976c51f27c4bf53d3cfa5d73011e8401874985689997aa42","observation_id":"9731c292-758d-4156-a3bd-a3c75a5119a9","resolution":{"observed_at":"2026-08-07T15:09:00.748373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:00.418904Z","title":"Enhancing autonomous intrusion detection system with generative adversarial networks,","venue":null,"work_id":"0151e724-afa2-4114-9dbc-b528f1fc3ae8","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:42.932669Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:3194d3e3440b959cd6184e9d0c7b623d9cc47188f0b88349f0616c0475f2cf17","observation_id":"eb0ed0ff-fe6e-4173-af1c-6e91f2d04b19","resolution":{"observed_at":"2026-08-07T15:09:00.506473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:00.213029Z","title":"To- wards a hierarchical deep learning approach for intrusion detection,","venue":null,"work_id":"1a2e1e99-24f8-4e60-8e62-cffed6884818","year":2019},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.049955Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:f025601b7a15603a43399d0c93e2704b44309fe4ada7d1fce4ac568f9a1e4773","observation_id":"f1fac107-fce3-46aa-b4c9-b52909c78f2d","resolution":{"observed_at":"2026-08-07T15:09:00.323485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:00.021614Z","title":"Hierarchical intrusion detection using machine learning and knowledge model,","venue":null,"work_id":"f6a9db4f-5f1c-4cf5-8a07-38b7517de9ac","year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.133244Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:d063a27136320dc2401aa9b293a64d2d4a6c4b195d2164ac0eb199e947439fcb","observation_id":"ff67c56f-aaad-48b1-b8fc-c05c0b083573","resolution":{"observed_at":"2026-08-07T15:09:00.103243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:59.887055Z","title":"A novel hierarchical intrusion detection system based on decision tree and rules-based models,","venue":null,"work_id":"53f79ab3-aa26-49d1-8334-ff4783c457f0","year":2019},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.232988Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:650c8f14ee57e71a64f8f62df1a42d2b1e8aee93d9452e6396c3b3c7fb7b9f8e","observation_id":"8fce8c8f-418c-46a6-bf64-a1470092f898","resolution":{"observed_at":"2026-08-07T15:08:59.924919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-024-80021-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"usfad based effective unknown attack detection focused ids framework,","venue":"Scientific Reports","work_id":"3ec78471-e3b2-4235-b042-af6678e25d5b","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.328734Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:9015f496dbf2edc38a7a2e504aae1d6b10fe9b8ce4c16c0284ccae26807766b3","observation_id":"73e2ef07-a4bd-4310-a355-acb73f891a5f","resolution":{"observed_at":"2026-08-07T15:08:51.181469Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:59.750088Z","title":"A dual-tier adaptive one-class classification ids for emerging cyberthreats,","venue":null,"work_id":"98bd026c-6e2d-4d41-b836-83d6b3ca7033","year":2025},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.430304Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:5db911daff8eeaf5cc5d6a8cdc0af082930b42acc3fd0076c1d457da73498f24","observation_id":"051c4daf-95d8-4fa4-8a23-de59acfce307","resolution":{"observed_at":"2026-08-07T15:08:59.809082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:59.611963Z","title":"A class-specific intrusion detection model: Hierarchical multi-class ids model,","venue":null,"work_id":"88f02d0c-371f-4a11-9a44-03decf74467f","year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.512505Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:007acb7db16703b496ee9f7231ff07b56173accebe07b10bebc283a6fe2a6b55","observation_id":"cd900072-1cae-4fce-a5b2-4a0ae3aea462","resolution":{"observed_at":"2026-08-07T15:08:59.693590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:59.383837Z","title":"Intrusion detection system based on hybrid hierarchical classifiers,","venue":null,"work_id":"728fa5f7-c620-4fda-8301-099281172e22","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.618895Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:648d109233e48e40644839e8ca063ec67dbf4fda50ad89507e2bc8f246950d84","observation_id":"d7dbe686-4a0f-4900-86f5-472baf9500ff","resolution":{"observed_at":"2026-08-07T15:08:59.495009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:59.129969Z","title":"Meta-heuristic optimization algorithm-based hierarchical intrusion detection system,","venue":null,"work_id":"0a2d650b-6562-474d-9466-1aaec42cc21c","year":2022},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.722028Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:2a63d21f050feb69bea53ec5267052a1c9a9b6b3353e54536d012aed389c2710","observation_id":"e3141aad-3a90-4216-b7d1-7afce121c261","resolution":{"observed_at":"2026-08-07T15:08:59.275359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:58.944479Z","title":"A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization,","venue":null,"work_id":"ab736f54-b7d9-4b40-8b64-fb14ce7acb47","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.862010Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:eab5f1104046f5b159916ccfa567745222c6143a7d371c6fcdfe57039a561611","observation_id":"b2ad104d-fafa-474f-a40d-271528b93ee2","resolution":{"observed_at":"2026-08-07T15:08:59.036524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:58.739661Z","title":"A novel multi-stage approach for hierarchical intrusion detection,","venue":null,"work_id":"72e8f842-9cd3-4958-b5b6-caa0ace2c3b3","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:43.996822Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:6bc9446204d23a3b0c79dfe3dd5f148ccb7ea9f387616180b41753809f0f7507","observation_id":"1b7bd5a7-704f-4589-a7fe-435129c2d8fa","resolution":{"observed_at":"2026-08-07T15:08:58.826608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:58.542528Z","title":"P2sf- iov: A privacy-preservation-based secured framework for internet of vehicles,","venue":null,"work_id":"dce82106-5d93-4707-8612-c24d84c65b8e","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.102516Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:8bff0bd1332683bdeb79e4f847921cb639f8342cd370e4e00b8d58facbe9384e","observation_id":"cfc95633-ef0e-42ea-9527-2e0a2c6b831a","resolution":{"observed_at":"2026-08-07T15:08:58.643935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:58.342340Z","title":"Intrusion detection system using machine learning for vehicular ad hoc networks based on ton-iot dataset,","venue":null,"work_id":"764d910e-0d10-47dc-8305-d26534b35d14","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.214656Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:d23c8fa140101a9cd5060a346ef4bc94667afa9958b410b603669416a45df736","observation_id":"916def01-b887-44b1-88c3-b375ef7c6c45","resolution":{"observed_at":"2026-08-07T15:08:58.448421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:58.187620Z","title":"A privacy-preserving-based secure framework using blockchain- enabled deep-learning in cooperative intelligent transport system,","venue":null,"work_id":"e336e24a-4e73-442e-9ef4-3c68bb641e68","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.328176Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:d5784a7b24ac1180d705185f044bd2b81f090c7d85085fefbd9151e2437fca55","observation_id":"4f9873d7-74a2-4401-be0b-cda2553b6f69","resolution":{"observed_at":"2026-08-07T15:08:58.258369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:57.864753Z","title":"Federated intrusion detection in blockchain-based smart transportation systems,","venue":null,"work_id":"35d1d599-c8ef-450d-8d2b-c4b4529ced94","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.422250Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:84d25c07659b54765666d701a633c86bd4eec5041f38ccb56b9838267b5f0557","observation_id":"76a033d8-870f-496f-9341-daca3877aca0","resolution":{"observed_at":"2026-08-07T15:08:58.001891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:57.601575Z","title":"A technique for generating a botnet dataset for anomalous activity detection in iot networks,","venue":null,"work_id":"ed2de0e6-980c-447e-8576-73e7a9004216","year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.574060Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:9ea1d75ce029b0082b9590f3762d97077c99a0afbca8ec80714617351d7dd14f","observation_id":"93086d58-a23a-4070-9b8b-b24e18bcffd0","resolution":{"observed_at":"2026-08-07T15:08:57.756287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:57.333886Z","title":"A new distributed architecture for evaluating ai-based security systems at the edge: Network ton iot datasets,","venue":null,"work_id":"ab5205db-d339-413f-95ff-361b13f1e602","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.685540Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:4f7af26f1b3c6812af03059631da853e014133a8558b07b1a8528a48bc4005e8","observation_id":"181b7a2c-cf53-4b5b-bc03-7036988be7e9","resolution":{"observed_at":"2026-08-07T15:08:57.466900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:44.778372Z","title":"A detailed analysis of the kdd cup 99 data set,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.778372Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:3e285f211aff4c6f5a1f799d3720c60cf4e5a0c934c4841a25bbe9a9a417aa3d","observation_id":"85b290d3-4677-436b-84a9-0a17288e5cbb","resolution":{"observed_at":"2026-08-07T15:08:44.778372Z","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":"2026-08-07T15:08:44.894091Z","title":"Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:44.894091Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:abfc710e9146293e9dcb84f69b59b0b48ec7f5016e93aabb67a789ce1ea21345","observation_id":"ecaf7e4a-7a40-4186-9a30-8ca91be5cf2d","resolution":{"observed_at":"2026-08-07T15:08:44.894091Z","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":"2026-08-07T15:08:57.015928Z","title":"Empirical evaluation of attacks against ieee 802.11 enterprise networks: The awid3 dataset,","venue":null,"work_id":"9ea7f155-1242-44bb-b3c5-47e3d7afc4c7","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.042448Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:0fe1ff85b03c9238cc085a0761dfe91c8c0f3192f58d1569af6ab996860236d8","observation_id":"2e1fe859-ef24-4ca0-aa0a-2e01d6283797","resolution":{"observed_at":"2026-08-07T15:08:57.131746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:56.781453Z","title":"De- veloping realistic distributed denial of service (ddos) attack dataset and taxonomy,","venue":null,"work_id":"1266a909-1181-455c-93f3-1a35b745c7c8","year":2019},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.203818Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:d54f919929223121b25abd4fec588e1b850ddbba469de7b98c71d86383a5da67","observation_id":"ed6b53df-a121-4656-8f8f-35df3d153c95","resolution":{"observed_at":"2026-08-07T15:08:56.891942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:45.376860Z","title":"Distributed privacy-preserving collaborative intrusion detection systems for vanets,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.376860Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:198cb2c13f747fc4236f9296d72843750f6cf1b73fee2b736eb4cdb01a8ab3ff","observation_id":"82cea8c5-0f64-4e1d-9847-4c50d505f57d","resolution":{"observed_at":"2026-08-07T15:08:45.376860Z","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":"2026-08-07T15:08:56.542775Z","title":"Transfer learning based in- trusion detection scheme for internet of vehicles,","venue":null,"work_id":"cd970a8f-485b-495d-88be-d0589bf161d4","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.482603Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:5420c0a7a42180cc8ca1fd290191e0108542bdebb72329349937e53a7e878530","observation_id":"cdc290f6-eeee-4987-807c-1c3331ccf27e","resolution":{"observed_at":"2026-08-07T15:08:56.656958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:45.603251Z","title":"Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.603251Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:fb0469a67e7fd17f6679a34daca35ba917be0608dbd872e2637bf41aea08c487","observation_id":"7573c460-20ad-4646-a2dc-51bee71b86d6","resolution":{"observed_at":"2026-08-07T15:08:45.603251Z","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":"2026-08-07T15:08:56.213210Z","title":"Intrusion detection system for cyberattacks in the internet of vehicles environment,","venue":null,"work_id":"852c60f8-42c1-42b2-910e-78422c43d079","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.753295Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:45bfcd0649ba3b6c8dc7ab38458e7b6e4e99722511aaef2a031142d999c990b9","observation_id":"0e7d8e5f-df65-47b1-af6d-5528632cf4ed","resolution":{"observed_at":"2026-08-07T15:08:56.379037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:55.966093Z","title":"Gids: Gan based intrusion detec- tion system for in-vehicle network,","venue":null,"work_id":"a68ecea2-afed-4f49-a93f-1663558b6f99","year":2018},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:45.889038Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:174b879fb92bd10afa21766b0f9602d825d6a5d8b7cc8fbd2b055c00d1bd3c86","observation_id":"9005b8e0-9eea-4fe8-bfb1-ca88fc7a9e55","resolution":{"observed_at":"2026-08-07T15:08:56.079253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:55.619219Z","title":"Otids: A novel intrusion detection system for in-vehicle network by using remote frame,","venue":null,"work_id":"27b24f7b-85cd-471b-a334-931cbe4b3577","year":2017},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:46.107904Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:06ac4847868c0aa0d8f14a7679c91cbd5a1dcc35252d91fbe7ccbf69521e3917","observation_id":"ca3e7b3a-9038-47ac-aff3-12bd25dfda9d","resolution":{"observed_at":"2026-08-07T15:08:55.796745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.14600","last_updated":"2024-02-07T14:04:43Z","snapshot_observed_at":"2026-08-16T18:55:32.646054Z","submitted_at":"2020-12-29T04:18:54Z","title":"A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.14600","snapshot_observed_at":"2026-08-07T15:08:46.674667Z","title":"Road: The real ornl automotive dynamometer con- troller area network intrusion detection dataset (with a comprehensive can ids dataset survey & guide),","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:46.674667Z"},"links":{"cited_paper":"/paper/2012.14600","citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:17d98f8d0b1a5019c205b0f424f0308fbb1ed2800faf6556575ad551c57d8d17","observation_id":"71205f8e-4383-4d00-9d6c-bb841a107a65","resolution":{"observed_at":"2026-08-07T15:08:46.674667Z","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":"2026-08-07T15:08:55.273456Z","title":"Advancing vehicle security: Deep learning based solution for defending can networks in the internet of vehicles,","venue":null,"work_id":"08e0a6a0-2427-43d5-bff1-db7fd9b1fa23","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.061183Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:6bb0cd3d61811d4497611f9e53631099d49e4351bc65dc59e48665602dea509f","observation_id":"eb59dc02-acdd-432e-bd8b-5e49fa72d6d3","resolution":{"observed_at":"2026-08-07T15:08:55.382797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:54.948569Z","title":"Improving attack detection in iov systems using ga-based hyperparameter optimization,","venue":null,"work_id":"44c2a5d2-433e-4ae2-9048-b35ff5e149de","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.148165Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:1fbad007a7872eb9591163a75acdf0b5175ab1ea988e6e454b8d0b220bdee8f6","observation_id":"00e90c84-9075-44a1-af22-767ffc4aad00","resolution":{"observed_at":"2026-08-07T15:08:55.113089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:54.704293Z","title":"Adversarial robustness of deep reinforcement learning- based intrusion detection,","venue":null,"work_id":"30b224fc-79cc-4100-b9af-3291b09e69e0","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.303278Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:5a783d777dda8f95becfbd0a6d652c18e986acc54691416b9940d0a388eeaf46","observation_id":"eb867403-2010-4fd7-80b3-7e46c43ac8bd","resolution":{"observed_at":"2026-08-07T15:08:54.807528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09043","last_updated":"2024-10-15T16:29:55Z","snapshot_observed_at":"2026-08-16T13:10:13.622487Z","submitted_at":"2024-10-11T17:57:16Z","title":"Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI","version":2},"cited_work":{"arxiv_id":"2410.09043","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.09043","snapshot_observed_at":"2026-08-07T15:08:51.522915Z","title":"Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI","venue":"cs.CR","work_id":"648a1fb2-ce8b-4cda-b9c9-b11aaeed6b6e","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.375985Z"},"links":{"cited_paper":"/paper/2410.09043","citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:907ff982ead87951859b7e52422a6785ad170b0e7c447b4e64e47145e7b64f8c","observation_id":"5295ae03-9568-48c5-9404-ce70f1931d4f","resolution":{"observed_at":"2026-08-07T15:08:51.615097Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:54.388230Z","title":"Advanced hybrid techniques for cyberattack detection and defense in iot networks,","venue":null,"work_id":"0df29ee5-3741-4257-a4d2-84604fc5d258","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.490097Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:6d012c67a5e62127aeb1b2e1665fa5d3b30e52b19642664eb6f0977958302933","observation_id":"72539449-0b94-4683-898d-2e1af3ce3c24","resolution":{"observed_at":"2026-08-07T15:08:54.564402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:54.124539Z","title":"Evaluation of boruta algorithm in ddos detection,","venue":null,"work_id":"7de104d3-c1ba-440d-8f09-cd9e09a616c3","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.666962Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:89b23dc842175b4623184645ddcb6aaf80ee5c84c508f681f1bc26809d5e0a66","observation_id":"680f17b5-3072-4397-be9d-f78047bf42e3","resolution":{"observed_at":"2026-08-07T15:08:54.256139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:53.855749Z","title":"Deep learning hybrid model with boruta-random forest opti- miser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity,","venue":null,"work_id":"6ad27d70-2ceb-408f-9344-46a4cb7521d1","year":2021},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:48.833368Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:d5bde626378c2e8da4bbffde4e94c38bdd67556b95923104a3dae7414b93624c","observation_id":"7e8b9152-4cf1-4b16-8671-1f4cdd0ded99","resolution":{"observed_at":"2026-08-07T15:08:53.995646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:53.511587Z","title":"Deployment of iov for smart cities: Applications, architecture, and challenges,","venue":null,"work_id":"7d5a079d-894a-4a2e-bf51-a117d20f8541","year":2019},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.050498Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:c348410696c757eaa73d8253ff39a7e10753a377b8ab1e8c87b705215badfd8b","observation_id":"b406ec39-e719-4ae8-8e97-5933cd0ca405","resolution":{"observed_at":"2026-08-07T15:08:53.675047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:53.318679Z","title":"Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects,","venue":null,"work_id":"e393cc6a-19cf-4a2e-aa21-3f59afd02180","year":2016},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.171074Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:877ff346a076d922454f97ca16b6234ad9841e19f84cd59afd4027f0e2a340ae","observation_id":"65eb28e8-224b-4f71-81d6-8fa9c24e0253","resolution":{"observed_at":"2026-08-07T15:08:53.406640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:53.181620Z","title":"Emerging technologies for 5g-iov networks: Applications, trends and opportuni- ties,","venue":null,"work_id":"04fa247e-fb94-4dfb-8d76-363548ab5f53","year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.323502Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:9c4004ea002d06c1ea29062cbc99bc8af39e3e1fad43ce97a498a9ed13cb5572","observation_id":"451750c6-2457-4e7b-8fa4-db5f8ce437d3","resolution":{"observed_at":"2026-08-07T15:08:53.243551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:49.426852Z","title":"Goodfellow, Y","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.426852Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:b690b0cab5444fd1427178a7eb2763cdcc46b68d576aafb2fae9b6d9347f4938","observation_id":"78d2f143-4517-46b8-945e-99f317b1ba9c","resolution":{"observed_at":"2026-08-07T15:08:49.426852Z","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":"2026-08-07T15:08:52.969038Z","title":"Understanding the origins and variability of the fuel consumption gap: Lessons learned from laboratory tests and a real-driving campaign,","venue":null,"work_id":"a97eadb0-bdca-471b-b503-e6795d97a35e","year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.584566Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:458e155002858e2c1c6e176bca8f19792ea54bffc19b116494e555eb9c3df020","observation_id":"1f75904d-43a1-4e16-8fa2-88c9779eb24b","resolution":{"observed_at":"2026-08-07T15:08:53.098836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:52.716297Z","title":"Vehicle fuel consumption prediction method based on driving behavior data collected from smartphones,","venue":null,"work_id":"99547e14-c28b-4bd3-958b-54c9c66ed1d0","year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.672715Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:aa3d39d54aae32ef9f0076a62cf00f52fa02521a89f8e74ae2ef42c07b14b7f3","observation_id":"e67fbd74-27e9-4d6c-bbf4-427dd76d0d8b","resolution":{"observed_at":"2026-08-07T15:08:52.767406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:52.483689Z","title":"A linear systems perspective on intrusion detection for routing in reconfigurable wireless networks,","venue":null,"work_id":"cced7abe-305c-4bc6-bd32-4e539d56dfdd","year":2019},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.726720Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:7f410ba3c67f45a9d905517ddf6bd512ca0db1e5a766b73651983aadac89379b","observation_id":"4f92385c-a611-4015-b636-29c3641b447b","resolution":{"observed_at":"2026-08-07T15:08:52.597403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03354","last_updated":"2024-11-11T18:19:22Z","snapshot_observed_at":"2026-08-16T13:03:04.221399Z","submitted_at":"2024-11-04T18:12:14Z","title":"LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks","version":2},"cited_work":{"arxiv_id":"2411.03354","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.03354","snapshot_observed_at":"2026-08-07T15:08:51.305195Z","title":"LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks","venue":"cs.CR","work_id":"9f2954d2-6c3d-4cef-96fc-ce6de68ba273","year":2024},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:49.896590Z"},"links":{"cited_paper":"/paper/2411.03354","citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:fae59f777319f5d6fe9b68726f2a73fd90302b487023f6099662e479dd49a1ac","observation_id":"d8e1e8a8-2626-4561-8fef-fa60c9f1dc17","resolution":{"observed_at":"2026-08-07T15:08:51.373387Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:52.224220Z","title":"Llama 2,","venue":null,"work_id":"0b796cb1-bf1d-4c2f-bd3c-e5f07cbc6fa9","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.108214Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:e8ea5c21b3dc095eee24ccc5b30b09b0caf2d6e5d7f0c67399be057f4395666f","observation_id":"274ed064-fc52-48cc-9c6a-4a4f0a66a7df","resolution":{"observed_at":"2026-08-07T15:08:52.325444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:52.042908Z","title":"(2023, jul) Inference characteristics of llama","venue":null,"work_id":"74955cfb-2853-48d3-b35d-c31c2b1b5fbd","year":2023},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.260508Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:8c53edf3a7477c59933094bd27f2964e090fac64ac535af5e1ca188e27f6fead","observation_id":"bcbd6006-c25e-4e7d-978f-d7d5421368b1","resolution":{"observed_at":"2026-08-07T15:08:52.109837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:50.467566Z","title":"Sur- vey on the internet of vehicles: Network architectures and applications,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.467566Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:41e3a9c07d5706b626d7183231da95a5cc5dd87bb085289ab80404fd3628f424","observation_id":"afabbd4d-96aa-44a6-8d2b-f3f6af0e6023","resolution":{"observed_at":"2026-08-07T15:08:50.467566Z","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":"2026-08-07T15:08:51.903093Z","title":"A novel multi-service small-cell cloud radio access network for mobile backhaul and computing based on radio-over-fiber technologies,","venue":null,"work_id":"f84d5675-3019-48a0-98b5-d2455046bd27","year":2013},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.632351Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:b36606cabd94af6b4af6b17d891e8b9ddcc7a79c21bf25966356ba6fa056f567","observation_id":"4a832f99-ca46-459f-805e-bd6cd88c1425","resolution":{"observed_at":"2026-08-07T15:08:51.947096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:08:50.858838Z","title":"Scikit-learn: Machine learning in python,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.858838Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:74f18eaf3b329b6861039d20d50851240f0011310fc04a5b81aa622432e529f9","observation_id":"f34409fc-2bf3-4c49-86df-30fcce27b301","resolution":{"observed_at":"2026-08-07T15:08:50.858838Z","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":"2026-08-07T15:08:50.908194Z","title":"Communication-efficient learning of deep networks from decentralized data,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.908194Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:4c665ad2194667d8b1abeb098adeea5c9c2f058ba06c41920c42d0237275d307","observation_id":"3425f21a-8585-4d6c-a31c-a8b552168455","resolution":{"observed_at":"2026-08-07T15:08:50.908194Z","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":"2026-08-07T15:08:51.770407Z","title":"Impact of communication performance measures for the internet of vehicles in an intersection scenario,","venue":null,"work_id":"5d88b5f4-4e07-40a4-80d9-58126566472b","year":2025},"citing_paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T15:08:50.966049Z"},"links":{"citing_paper":"/paper/2505.16215"},"observation_digest":"sha256:613a88acb40dcf62be25b4b065850cd53ff82a1963db69252c61b167ccdeb615","observation_id":"66d5510c-3b88-461c-8d5f-a24db83f828a","resolution":{"observed_at":"2026-08-07T15:08:51.816933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.16215","last_updated":"2025-05-22T04:30:26Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-14T19:43:01.665421Z","submitted_at":"2025-05-22T04:30:26Z","title":"A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":3,"verified_fuzzy":47},"total_outbound_references":59},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2505.16215."}