{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2CRHVVUR26I6GVCEOOHCHIPS7F","short_pith_number":"pith:2CRHVVUR","schema_version":"1.0","canonical_sha256":"d0a27ad691d791e35444738e23a1f2f951fe14ba953dd61bf4221efcbda536b1","source":{"kind":"arxiv","id":"2507.09505","version":1},"attestation_state":"computed","paper":{"title":"TruckV2X: A Truck-Centered Perception Dataset","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Fuxi Wen, Guangzhao Liu, Jun Li, Tenghui Xie, Zhiying Song, Zijian Zhao","submitted_at":"2025-07-13T06:16:13Z","abstract_excerpt":"Autonomous trucking offers significant benefits, such as improved safety and reduced costs, but faces unique perception challenges due to trucks' large size and dynamic trailer movements. These challenges include extensive blind spots and occlusions that hinder the truck's perception and the capabilities of other road users. To address these limitations, cooperative perception emerges as a promising solution. However, existing datasets predominantly feature light vehicle interactions or lack multi-agent configurations for heavy-duty vehicle scenarios. To bridge this gap, we introduce TruckV2X,"},"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":"2507.09505","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-13T06:16:13Z","cross_cats_sorted":[],"title_canon_sha256":"9ac07836d83eccd186084b1c53d99b4d7651c0e61dbe69e1e7f6f9bb986692c1","abstract_canon_sha256":"dcfbaa82e80ab29fdfe9185279b97e74627bb91b29badf98f4cc91085a045414"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:38.317234Z","signature_b64":"kQiiyhCEEGFPvl5vmk7KLyTNqwDx7NhTeVXUfJVXkKVxx+CRcADVo0h2xa8cSbffCOqKbGVCOcdK1QrefBIYCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0a27ad691d791e35444738e23a1f2f951fe14ba953dd61bf4221efcbda536b1","last_reissued_at":"2026-07-05T11:50:38.316758Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:38.316758Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TruckV2X: A Truck-Centered Perception Dataset","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Fuxi Wen, Guangzhao Liu, Jun Li, Tenghui Xie, Zhiying Song, Zijian Zhao","submitted_at":"2025-07-13T06:16:13Z","abstract_excerpt":"Autonomous trucking offers significant benefits, such as improved safety and reduced costs, but faces unique perception challenges due to trucks' large size and dynamic trailer movements. These challenges include extensive blind spots and occlusions that hinder the truck's perception and the capabilities of other road users. To address these limitations, cooperative perception emerges as a promising solution. However, existing datasets predominantly feature light vehicle interactions or lack multi-agent configurations for heavy-duty vehicle scenarios. To bridge this gap, we introduce TruckV2X,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09505","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/2507.09505/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":"2507.09505","created_at":"2026-07-05T11:50:38.316818+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.09505v1","created_at":"2026-07-05T11:50:38.316818+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09505","created_at":"2026-07-05T11:50:38.316818+00:00"},{"alias_kind":"pith_short_12","alias_value":"2CRHVVUR26I6","created_at":"2026-07-05T11:50:38.316818+00:00"},{"alias_kind":"pith_short_16","alias_value":"2CRHVVUR26I6GVCE","created_at":"2026-07-05T11:50:38.316818+00:00"},{"alias_kind":"pith_short_8","alias_value":"2CRHVVUR","created_at":"2026-07-05T11:50:38.316818+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/2CRHVVUR26I6GVCEOOHCHIPS7F","json":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F.json","graph_json":"https://pith.science/api/pith-number/2CRHVVUR26I6GVCEOOHCHIPS7F/graph.json","events_json":"https://pith.science/api/pith-number/2CRHVVUR26I6GVCEOOHCHIPS7F/events.json","paper":"https://pith.science/paper/2CRHVVUR"},"agent_actions":{"view_html":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F","download_json":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F.json","view_paper":"https://pith.science/paper/2CRHVVUR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.09505&json=true","fetch_graph":"https://pith.science/api/pith-number/2CRHVVUR26I6GVCEOOHCHIPS7F/graph.json","fetch_events":"https://pith.science/api/pith-number/2CRHVVUR26I6GVCEOOHCHIPS7F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F/action/storage_attestation","attest_author":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F/action/author_attestation","sign_citation":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F/action/citation_signature","submit_replication":"https://pith.science/pith/2CRHVVUR26I6GVCEOOHCHIPS7F/action/replication_record"}},"created_at":"2026-07-05T11:50:38.316818+00:00","updated_at":"2026-07-05T11:50:38.316818+00:00"}