{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XLBG3MWF7RK7WB4O3ENQXEGIBB","short_pith_number":"pith:XLBG3MWF","canonical_record":{"source":{"id":"2507.08903","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-11T08:45:56Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c97acdbd6492116c9dec6b2c8c432d4c0a65950ce7d1b53327b86121cbc51cc0","abstract_canon_sha256":"445b1d2cf89fee2f603fe345aaeb3854945678d1b597c8fc5c53fdb063703d79"},"schema_version":"1.0"},"canonical_sha256":"bac26db2c5fc55fb078ed91b0b90c8087d9b6e07008c817f7943536e0998e1a6","source":{"kind":"arxiv","id":"2507.08903","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08903","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08903v1","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08903","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"XLBG3MWF7RK7","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"XLBG3MWF7RK7WB4O","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"XLBG3MWF","created_at":"2026-07-05T11:36:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XLBG3MWF7RK7WB4O3ENQXEGIBB","target":"record","payload":{"canonical_record":{"source":{"id":"2507.08903","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-11T08:45:56Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c97acdbd6492116c9dec6b2c8c432d4c0a65950ce7d1b53327b86121cbc51cc0","abstract_canon_sha256":"445b1d2cf89fee2f603fe345aaeb3854945678d1b597c8fc5c53fdb063703d79"},"schema_version":"1.0"},"canonical_sha256":"bac26db2c5fc55fb078ed91b0b90c8087d9b6e07008c817f7943536e0998e1a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:36:00.360123Z","signature_b64":"y0maJCrBCc7RDLKrdAhbzhw6VbtY9dFrGQfcZvYVrU8odIP1ousVXsVNT/1mZvVIbkl7xpNl+vNy/3Wf4pviBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bac26db2c5fc55fb078ed91b0b90c8087d9b6e07008c817f7943536e0998e1a6","last_reissued_at":"2026-07-05T11:36:00.359655Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:36:00.359655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.08903","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYlZUJicGlYdYmbma1MxzKAgyMpunZUuUTolosw6PRL0wBAeA/yRtPP1LjVviCigd5QPpMK8FLzqUC54a1R6Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:38:51.913464Z"},"content_sha256":"ad0c4e604abfce3dc70f4efee8b98314765a2ba752df803b19b00851455330cc","schema_version":"1.0","event_id":"sha256:ad0c4e604abfce3dc70f4efee8b98314765a2ba752df803b19b00851455330cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XLBG3MWF7RK7WB4O3ENQXEGIBB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal HD Mapping for Intersections by Intelligent Roadside Units","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Haoyi Xiong, Kun Jiang, Mengmeng Yang, Miao Fan, Shengtong Xu, Xiangzeng Liu, Zhongzhang Chen","submitted_at":"2025-07-11T08:45:56Z","abstract_excerpt":"High-definition (HD) semantic mapping of complex intersections poses significant challenges for traditional vehicle-based approaches due to occlusions and limited perspectives. This paper introduces a novel camera-LiDAR fusion framework that leverages elevated intelligent roadside units (IRUs). Additionally, we present RS-seq, a comprehensive dataset developed through the systematic enhancement and annotation of the V2X-Seq dataset. RS-seq includes precisely labelled camera imagery and LiDAR point clouds collected from roadside installations, along with vectorized maps for seven intersections "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08903","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/2507.08903/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KS9RZSfxRP7JrE/vQuLtuSf2j6pKSvdp8LbyUdgDMgIIOlx5Kpf697rEm6o3M0pD5UJ1OxwFmnCU5wgSMYVeDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:38:51.913844Z"},"content_sha256":"08307a7cfc97352325069ee18bca1216b3f9260dc5a880ace256a439e22644ab","schema_version":"1.0","event_id":"sha256:08307a7cfc97352325069ee18bca1216b3f9260dc5a880ace256a439e22644ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB/bundle.json","state_url":"https://pith.science/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T03:38:51Z","links":{"resolver":"https://pith.science/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB","bundle":"https://pith.science/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB/bundle.json","state":"https://pith.science/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XLBG3MWF7RK7WB4O3ENQXEGIBB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XLBG3MWF7RK7WB4O3ENQXEGIBB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"445b1d2cf89fee2f603fe345aaeb3854945678d1b597c8fc5c53fdb063703d79","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-11T08:45:56Z","title_canon_sha256":"c97acdbd6492116c9dec6b2c8c432d4c0a65950ce7d1b53327b86121cbc51cc0"},"schema_version":"1.0","source":{"id":"2507.08903","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08903","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08903v1","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08903","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"XLBG3MWF7RK7","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"XLBG3MWF7RK7WB4O","created_at":"2026-07-05T11:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"XLBG3MWF","created_at":"2026-07-05T11:36:00Z"}],"graph_snapshots":[{"event_id":"sha256:08307a7cfc97352325069ee18bca1216b3f9260dc5a880ace256a439e22644ab","target":"graph","created_at":"2026-07-05T11:36:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.08903/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-definition (HD) semantic mapping of complex intersections poses significant challenges for traditional vehicle-based approaches due to occlusions and limited perspectives. This paper introduces a novel camera-LiDAR fusion framework that leverages elevated intelligent roadside units (IRUs). Additionally, we present RS-seq, a comprehensive dataset developed through the systematic enhancement and annotation of the V2X-Seq dataset. RS-seq includes precisely labelled camera imagery and LiDAR point clouds collected from roadside installations, along with vectorized maps for seven intersections ","authors_text":"Haoyi Xiong, Kun Jiang, Mengmeng Yang, Miao Fan, Shengtong Xu, Xiangzeng Liu, Zhongzhang Chen","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-11T08:45:56Z","title":"Multimodal HD Mapping for Intersections by Intelligent Roadside Units"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08903","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ad0c4e604abfce3dc70f4efee8b98314765a2ba752df803b19b00851455330cc","target":"record","created_at":"2026-07-05T11:36:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"445b1d2cf89fee2f603fe345aaeb3854945678d1b597c8fc5c53fdb063703d79","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-11T08:45:56Z","title_canon_sha256":"c97acdbd6492116c9dec6b2c8c432d4c0a65950ce7d1b53327b86121cbc51cc0"},"schema_version":"1.0","source":{"id":"2507.08903","kind":"arxiv","version":1}},"canonical_sha256":"bac26db2c5fc55fb078ed91b0b90c8087d9b6e07008c817f7943536e0998e1a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bac26db2c5fc55fb078ed91b0b90c8087d9b6e07008c817f7943536e0998e1a6","first_computed_at":"2026-07-05T11:36:00.359655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:00.359655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y0maJCrBCc7RDLKrdAhbzhw6VbtY9dFrGQfcZvYVrU8odIP1ousVXsVNT/1mZvVIbkl7xpNl+vNy/3Wf4pviBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:00.360123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.08903","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad0c4e604abfce3dc70f4efee8b98314765a2ba752df803b19b00851455330cc","sha256:08307a7cfc97352325069ee18bca1216b3f9260dc5a880ace256a439e22644ab"],"state_sha256":"3bd1d3084e0076d7fae64e9dc9592ed34dfaff9094ecbfbbb62f12310dde2acf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sccC0p2+DkY5k8KEqBG6tpOmMC3TRGbj5YT0c/3wTSyc8GkJWSK5PMX0gti9CmcvNpaCn7Qf/GIxjOlT1RScCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:38:51.916544Z","bundle_sha256":"10d516969634272b4730b34c67517ae04cfacc64a869fe312e1bb9311d6d991c"}}