{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6T7RHNRYSCXLP5227V2DO7DMJM","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":"b16974daaa946fcd18d1c26191eb2b5fb7e492b3f4d8c0321b746383f2fb7729","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T14:26:52Z","title_canon_sha256":"f960791fc6a7ca41b03b010c3b87ede73f1909f4ce09c6e3c493eeb4b45e42e2"},"schema_version":"1.0","source":{"id":"2607.15048","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15048","created_at":"2026-07-17T01:22:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15048v1","created_at":"2026-07-17T01:22:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15048","created_at":"2026-07-17T01:22:06Z"},{"alias_kind":"pith_short_12","alias_value":"6T7RHNRYSCXL","created_at":"2026-07-17T01:22:06Z"},{"alias_kind":"pith_short_16","alias_value":"6T7RHNRYSCXLP522","created_at":"2026-07-17T01:22:06Z"},{"alias_kind":"pith_short_8","alias_value":"6T7RHNRY","created_at":"2026-07-17T01:22:06Z"}],"graph_snapshots":[{"event_id":"sha256:d5ebcb04955099cae2304a20c2dedfe15b93424f190fa298ff7e89209f881dc9","target":"graph","created_at":"2026-07-17T01:22:06Z","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/2607.15048/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Road surface mapping plays a crucial role in autonomous driving, supporting high-definition map generation, lane-level perception, and automatic road annotation. Recent mesh-based road surface reconstruction methods have shown promising results, but they still suffer from limited reconstruction quality and high optimization cost, especially in large-scale driving scenarios. To address these limitations, we propose ROADGS-T, a robust and efficient large-scale road surface mapping framework based on adaptive meshgrid Gaussian representation. Specifically, we model the road surface by placing 2D ","authors_text":"Hesheng Wang, Siting Zhu, Tianchen Deng, Wenhua Wu, Zhiheng Feng, Ziming Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T14:26:52Z","title":"RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15048","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:b6019b7b2896ea1f3d77784f1931f55c23dc85577601f02575d30129cf990222","target":"record","created_at":"2026-07-17T01:22:06Z","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":"b16974daaa946fcd18d1c26191eb2b5fb7e492b3f4d8c0321b746383f2fb7729","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T14:26:52Z","title_canon_sha256":"f960791fc6a7ca41b03b010c3b87ede73f1909f4ce09c6e3c493eeb4b45e42e2"},"schema_version":"1.0","source":{"id":"2607.15048","kind":"arxiv","version":1}},"canonical_sha256":"f4ff13b63890aeb7f75afd74377c6c4b3268ada6dd78b76bed4d7c5240bb0b5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4ff13b63890aeb7f75afd74377c6c4b3268ada6dd78b76bed4d7c5240bb0b5e","first_computed_at":"2026-07-17T01:22:06.899634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T01:22:06.899634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VsgVrd1xRsFYstOSYL9STJfVLIXVkP+eLYSMuBUZ0E7eDGcdLUY1v6ybt1siagyc8QhFNVke0KSPDSjh9fMLAQ==","signature_status":"signed_v1","signed_at":"2026-07-17T01:22:06.900481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15048","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6019b7b2896ea1f3d77784f1931f55c23dc85577601f02575d30129cf990222","sha256:d5ebcb04955099cae2304a20c2dedfe15b93424f190fa298ff7e89209f881dc9"],"state_sha256":"a49bb49ecd1763e8b291f5e22675ab220c1b5b3a0126ea8c3ac84942459996e2"}