{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:AUBEGK4ECE4DODNMF5SNBZT5XK","short_pith_number":"pith:AUBEGK4E","schema_version":"1.0","canonical_sha256":"0502432b841138370dac2f64d0e67dbabe79e2f483334385e2cf829a0b248c19","source":{"kind":"arxiv","id":"2506.13553","version":4},"attestation_state":"computed","paper":{"title":"Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changqing Zhou, Chao Zheng, Erlong Li, Shuguang Cui, Yiming Yang, Yueru Luo, Zhen Li","submitted_at":"2025-06-16T14:40:28Z","abstract_excerpt":"Road topology reasoning is fundamental for autonomous driving, requiring both accurate perception of road elements and understanding of their complex connectivity, including lane connectivity (Lane-to-Lane, L2L) and traffic regulation (Lane-to-Traffic signs, L2T). However, existing methods typically treat perception and topology reasoning as fragmented tasks, ignoring their potential for mutual enhancement. Crucially, while topology is inherently relational, prior works often overlook geometric relationships during feature extraction, relying instead on brittle post-processing or coordinate-ba"},"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":"2506.13553","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T14:40:28Z","cross_cats_sorted":[],"title_canon_sha256":"b69c585557041e043b65d52b5abf83c2131ccde56bd7cac64806cc9f186952d6","abstract_canon_sha256":"71a25ae9fe43c52a8bbd6831daa8de72aa8dc361d2c08d483821ef8be97adb99"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T01:21:10.933024Z","signature_b64":"JUV1tP6dUNRKuGDvMg2OawqsiGkSWY8hIosmpXUYNME0KA5ageLJj9g0exZFEOXCfS/zfUrYFDUjIEZjCKtCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0502432b841138370dac2f64d0e67dbabe79e2f483334385e2cf829a0b248c19","last_reissued_at":"2026-07-27T01:21:10.932105Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T01:21:10.932105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changqing Zhou, Chao Zheng, Erlong Li, Shuguang Cui, Yiming Yang, Yueru Luo, Zhen Li","submitted_at":"2025-06-16T14:40:28Z","abstract_excerpt":"Road topology reasoning is fundamental for autonomous driving, requiring both accurate perception of road elements and understanding of their complex connectivity, including lane connectivity (Lane-to-Lane, L2L) and traffic regulation (Lane-to-Traffic signs, L2T). However, existing methods typically treat perception and topology reasoning as fragmented tasks, ignoring their potential for mutual enhancement. Crucially, while topology is inherently relational, prior works often overlook geometric relationships during feature extraction, relying instead on brittle post-processing or coordinate-ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13553","kind":"arxiv","version":4},"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/2506.13553/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":"2506.13553","created_at":"2026-07-27T01:21:10.932576+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.13553v4","created_at":"2026-07-27T01:21:10.932576+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13553","created_at":"2026-07-27T01:21:10.932576+00:00"},{"alias_kind":"pith_short_12","alias_value":"AUBEGK4ECE4D","created_at":"2026-07-27T01:21:10.932576+00:00"},{"alias_kind":"pith_short_16","alias_value":"AUBEGK4ECE4DODNM","created_at":"2026-07-27T01:21:10.932576+00:00"},{"alias_kind":"pith_short_8","alias_value":"AUBEGK4E","created_at":"2026-07-27T01:21:10.932576+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2604.24119","citing_title":"TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations","ref_index":25,"is_internal_anchor":true},{"citing_arxiv_id":"2604.24119","citing_title":"TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations","ref_index":25,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK","json":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK.json","graph_json":"https://pith.science/api/pith-number/AUBEGK4ECE4DODNMF5SNBZT5XK/graph.json","events_json":"https://pith.science/api/pith-number/AUBEGK4ECE4DODNMF5SNBZT5XK/events.json","paper":"https://pith.science/paper/AUBEGK4E"},"agent_actions":{"view_html":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK","download_json":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK.json","view_paper":"https://pith.science/paper/AUBEGK4E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.13553&json=true","fetch_graph":"https://pith.science/api/pith-number/AUBEGK4ECE4DODNMF5SNBZT5XK/graph.json","fetch_events":"https://pith.science/api/pith-number/AUBEGK4ECE4DODNMF5SNBZT5XK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK/action/storage_attestation","attest_author":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK/action/author_attestation","sign_citation":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK/action/citation_signature","submit_replication":"https://pith.science/pith/AUBEGK4ECE4DODNMF5SNBZT5XK/action/replication_record"}},"created_at":"2026-07-27T01:21:10.932576+00:00","updated_at":"2026-07-27T01:21:10.932576+00:00"}