{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:7CXHDFZC5DGQZCAXEXLRZ5YHVR","short_pith_number":"pith:7CXHDFZC","schema_version":"1.0","canonical_sha256":"f8ae719722e8cd0c881725d71cf707ac73f60dd06b785400da725588ea9baa8e","source":{"kind":"arxiv","id":"2411.18129","version":1},"attestation_state":"computed","paper":{"title":"Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.NI","authors_text":"Kaige Qu, Wen Wu, Xuemin (Sherman) Shen, Yuxuan Wang","submitted_at":"2024-11-27T08:18:59Z","abstract_excerpt":"In this paper, we propose a novel road side unit (RSU)-assisted cooperative sensing scheme for connected autonomous vehicles (CAVs), with the objective to reduce completion time of sensing tasks. Specifically, LiDAR sensing data of both RSU and CAVs are selectively fused to improve sensing accuracy, and computing resources therein are cooperatively utilized to process tasks in real time. To this end, for each task, we decide whether to compute it at the CAV or at the RSU and allocate resources accordingly. We first formulate a joint task placement and resource allocation problem for minimizing"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2411.18129","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-11-27T08:18:59Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"0d561e7e78020166a4f59d725a4615e34c8ddc9ef034e209e9c5317d9ab1ef27","abstract_canon_sha256":"05b13625d17646732b85637d5df806faa487e9cc747ab6f9b45d302a33435596"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:41:12.245455Z","signature_b64":"UEsKhKxPjHYNZ/QumHBZzNzBHJjz9UGa1Ot6+JJEGKIcLxFZkQWCLUqHe/x7/eqOOf9Cov7AjxmS/NEuOnQMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8ae719722e8cd0c881725d71cf707ac73f60dd06b785400da725588ea9baa8e","last_reissued_at":"2026-07-05T09:41:12.244971Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:41:12.244971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.NI","authors_text":"Kaige Qu, Wen Wu, Xuemin (Sherman) Shen, Yuxuan Wang","submitted_at":"2024-11-27T08:18:59Z","abstract_excerpt":"In this paper, we propose a novel road side unit (RSU)-assisted cooperative sensing scheme for connected autonomous vehicles (CAVs), with the objective to reduce completion time of sensing tasks. Specifically, LiDAR sensing data of both RSU and CAVs are selectively fused to improve sensing accuracy, and computing resources therein are cooperatively utilized to process tasks in real time. To this end, for each task, we decide whether to compute it at the CAV or at the RSU and allocate resources accordingly. We first formulate a joint task placement and resource allocation problem for minimizing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18129","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.18129/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2411.18129","created_at":"2026-07-05T09:41:12.245027+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.18129v1","created_at":"2026-07-05T09:41:12.245027+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18129","created_at":"2026-07-05T09:41:12.245027+00:00"},{"alias_kind":"pith_short_12","alias_value":"7CXHDFZC5DGQ","created_at":"2026-07-05T09:41:12.245027+00:00"},{"alias_kind":"pith_short_16","alias_value":"7CXHDFZC5DGQZCAX","created_at":"2026-07-05T09:41:12.245027+00:00"},{"alias_kind":"pith_short_8","alias_value":"7CXHDFZC","created_at":"2026-07-05T09:41:12.245027+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR","json":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR.json","graph_json":"https://pith.science/api/pith-number/7CXHDFZC5DGQZCAXEXLRZ5YHVR/graph.json","events_json":"https://pith.science/api/pith-number/7CXHDFZC5DGQZCAXEXLRZ5YHVR/events.json","paper":"https://pith.science/paper/7CXHDFZC"},"agent_actions":{"view_html":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR","download_json":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR.json","view_paper":"https://pith.science/paper/7CXHDFZC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.18129&json=true","fetch_graph":"https://pith.science/api/pith-number/7CXHDFZC5DGQZCAXEXLRZ5YHVR/graph.json","fetch_events":"https://pith.science/api/pith-number/7CXHDFZC5DGQZCAXEXLRZ5YHVR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR/action/storage_attestation","attest_author":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR/action/author_attestation","sign_citation":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR/action/citation_signature","submit_replication":"https://pith.science/pith/7CXHDFZC5DGQZCAXEXLRZ5YHVR/action/replication_record"}},"created_at":"2026-07-05T09:41:12.245027+00:00","updated_at":"2026-07-05T09:41:12.245027+00:00"}