{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:JEGR7P2TNEZIENUNRPT4TCAGYA","short_pith_number":"pith:JEGR7P2T","schema_version":"1.0","canonical_sha256":"490d1fbf53693282368d8be7c98806c028ebd2e9a27ffeabf81f09552ffbe94a","source":{"kind":"arxiv","id":"2311.02327","version":1},"attestation_state":"computed","paper":{"title":"ECMD: An Event-Centric Multisensory Driving Dataset for SLAM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.RO","authors_text":"Feng Huang, Li-Ta Hsu, Peiyu Chen, Peng Lu, Weipeng Guan, Weisong Wen, Yihan Zhong","submitted_at":"2023-11-04T04:59:18Z","abstract_excerpt":"Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise localization and mapping. This paper proposes, ECMD, an event-centric multisensory dataset containing 81 sequences and covering over 200 km of various challenging driving scenarios including high-speed motion, repetitive scenarios, dynamic objects, etc. ECMD provides data from two sets of stereo event cameras with different resolutions (640*480, 346*260), stereo industrial cameras, an infrared camera, a top-installed me"},"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":"2311.02327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-04T04:59:18Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"4811900ee498d2b2d944975157e2a70d211cd8f8b1d7a54df839d2abf83acdfa","abstract_canon_sha256":"b76c86cab94a98c04ad9693a1482f24c0ffde947e9cf76d64677e26092b543ba"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:09.801017Z","signature_b64":"Bqj4PvStNXbYQKKUyFvl3Ec6ypBrBuV/D05hO9zAT2PYWtgQUFGLExQ3RMheV75Z9OkBZbo3Ny3xXzYejKP0DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"490d1fbf53693282368d8be7c98806c028ebd2e9a27ffeabf81f09552ffbe94a","last_reissued_at":"2026-07-05T07:09:09.800528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:09.800528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ECMD: An Event-Centric Multisensory Driving Dataset for SLAM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.RO","authors_text":"Feng Huang, Li-Ta Hsu, Peiyu Chen, Peng Lu, Weipeng Guan, Weisong Wen, Yihan Zhong","submitted_at":"2023-11-04T04:59:18Z","abstract_excerpt":"Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise localization and mapping. This paper proposes, ECMD, an event-centric multisensory dataset containing 81 sequences and covering over 200 km of various challenging driving scenarios including high-speed motion, repetitive scenarios, dynamic objects, etc. ECMD provides data from two sets of stereo event cameras with different resolutions (640*480, 346*260), stereo industrial cameras, an infrared camera, a top-installed me"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02327","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/2311.02327/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":"2311.02327","created_at":"2026-07-05T07:09:09.800587+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.02327v1","created_at":"2026-07-05T07:09:09.800587+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02327","created_at":"2026-07-05T07:09:09.800587+00:00"},{"alias_kind":"pith_short_12","alias_value":"JEGR7P2TNEZI","created_at":"2026-07-05T07:09:09.800587+00:00"},{"alias_kind":"pith_short_16","alias_value":"JEGR7P2TNEZIENUN","created_at":"2026-07-05T07:09:09.800587+00:00"},{"alias_kind":"pith_short_8","alias_value":"JEGR7P2T","created_at":"2026-07-05T07:09:09.800587+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/JEGR7P2TNEZIENUNRPT4TCAGYA","json":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA.json","graph_json":"https://pith.science/api/pith-number/JEGR7P2TNEZIENUNRPT4TCAGYA/graph.json","events_json":"https://pith.science/api/pith-number/JEGR7P2TNEZIENUNRPT4TCAGYA/events.json","paper":"https://pith.science/paper/JEGR7P2T"},"agent_actions":{"view_html":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA","download_json":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA.json","view_paper":"https://pith.science/paper/JEGR7P2T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.02327&json=true","fetch_graph":"https://pith.science/api/pith-number/JEGR7P2TNEZIENUNRPT4TCAGYA/graph.json","fetch_events":"https://pith.science/api/pith-number/JEGR7P2TNEZIENUNRPT4TCAGYA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA/action/storage_attestation","attest_author":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA/action/author_attestation","sign_citation":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA/action/citation_signature","submit_replication":"https://pith.science/pith/JEGR7P2TNEZIENUNRPT4TCAGYA/action/replication_record"}},"created_at":"2026-07-05T07:09:09.800587+00:00","updated_at":"2026-07-05T07:09:09.800587+00:00"}