{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:OKJ344HJVV3CYIYYFO4M22EAJT","short_pith_number":"pith:OKJ344HJ","schema_version":"1.0","canonical_sha256":"7293be70e9ad762c23182bb8cd68804cc24d25fdea90afb33d0476432c07ac6b","source":{"kind":"arxiv","id":"2503.15435","version":1},"attestation_state":"computed","paper":{"title":"V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baolu Li, Hongkai Yu, Jianwu Fang, Jinlong Li, Xiaopeng Li, Xinyu Liu, Zongzhe Xu","submitted_at":"2025-03-19T17:17:44Z","abstract_excerpt":"LiDAR-based Vehicle-to-Everything (V2X) cooperative perception has demonstrated its impact on the safety and effectiveness of autonomous driving. Since current cooperative perception algorithms are trained and tested on the same dataset, the generalization ability of cooperative perception systems remains underexplored. This paper is the first work to study the Domain Generalization problem of LiDAR-based V2X cooperative perception (V2X-DG) for 3D detection based on four widely-used open source datasets: OPV2V, V2XSet, V2V4Real and DAIR-V2X. Our research seeks to sustain high performance not o"},"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":"2503.15435","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-19T17:17:44Z","cross_cats_sorted":[],"title_canon_sha256":"d8d93832f8da3fa9492205df7d6bc36c57ac2543e88053522c2dd11099bb8fa0","abstract_canon_sha256":"fcf682aae88a174d3c0453549ad061209a4f1493a0d0307348c30583498f94a9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:35:26.247335Z","signature_b64":"lKMZMjx4jQTLsTeY780w4x/kNuSTh1tCS/Lt1EH6sBtGZuU0nCf2KRrOrufP+VZRsutzPcwmFtz6tdJPzPtYCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7293be70e9ad762c23182bb8cd68804cc24d25fdea90afb33d0476432c07ac6b","last_reissued_at":"2026-07-05T10:35:26.246819Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:35:26.246819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baolu Li, Hongkai Yu, Jianwu Fang, Jinlong Li, Xiaopeng Li, Xinyu Liu, Zongzhe Xu","submitted_at":"2025-03-19T17:17:44Z","abstract_excerpt":"LiDAR-based Vehicle-to-Everything (V2X) cooperative perception has demonstrated its impact on the safety and effectiveness of autonomous driving. Since current cooperative perception algorithms are trained and tested on the same dataset, the generalization ability of cooperative perception systems remains underexplored. This paper is the first work to study the Domain Generalization problem of LiDAR-based V2X cooperative perception (V2X-DG) for 3D detection based on four widely-used open source datasets: OPV2V, V2XSet, V2V4Real and DAIR-V2X. Our research seeks to sustain high performance not o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15435","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/2503.15435/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":"2503.15435","created_at":"2026-07-05T10:35:26.246880+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.15435v1","created_at":"2026-07-05T10:35:26.246880+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15435","created_at":"2026-07-05T10:35:26.246880+00:00"},{"alias_kind":"pith_short_12","alias_value":"OKJ344HJVV3C","created_at":"2026-07-05T10:35:26.246880+00:00"},{"alias_kind":"pith_short_16","alias_value":"OKJ344HJVV3CYIYY","created_at":"2026-07-05T10:35:26.246880+00:00"},{"alias_kind":"pith_short_8","alias_value":"OKJ344HJ","created_at":"2026-07-05T10:35:26.246880+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/OKJ344HJVV3CYIYYFO4M22EAJT","json":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT.json","graph_json":"https://pith.science/api/pith-number/OKJ344HJVV3CYIYYFO4M22EAJT/graph.json","events_json":"https://pith.science/api/pith-number/OKJ344HJVV3CYIYYFO4M22EAJT/events.json","paper":"https://pith.science/paper/OKJ344HJ"},"agent_actions":{"view_html":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT","download_json":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT.json","view_paper":"https://pith.science/paper/OKJ344HJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.15435&json=true","fetch_graph":"https://pith.science/api/pith-number/OKJ344HJVV3CYIYYFO4M22EAJT/graph.json","fetch_events":"https://pith.science/api/pith-number/OKJ344HJVV3CYIYYFO4M22EAJT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT/action/storage_attestation","attest_author":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT/action/author_attestation","sign_citation":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT/action/citation_signature","submit_replication":"https://pith.science/pith/OKJ344HJVV3CYIYYFO4M22EAJT/action/replication_record"}},"created_at":"2026-07-05T10:35:26.246880+00:00","updated_at":"2026-07-05T10:35:26.246880+00:00"}