{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3H3SQBKOC7UHQZBW7UOQKJ3AT3","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":"ab2434f5393404109b31c88ce5f1618c5321e42eb5bc16fc60bc3e2b518a4ece","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-07T13:55:34Z","title_canon_sha256":"f0f002a0f25ad4fc8be8174dabd875e164fb6509707480feafd26ee6ca540d7b"},"schema_version":"1.0","source":{"id":"2506.06804","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06804","created_at":"2026-07-05T11:17:55Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06804v1","created_at":"2026-07-05T11:17:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06804","created_at":"2026-07-05T11:17:55Z"},{"alias_kind":"pith_short_12","alias_value":"3H3SQBKOC7UH","created_at":"2026-07-05T11:17:55Z"},{"alias_kind":"pith_short_16","alias_value":"3H3SQBKOC7UHQZBW","created_at":"2026-07-05T11:17:55Z"},{"alias_kind":"pith_short_8","alias_value":"3H3SQBKO","created_at":"2026-07-05T11:17:55Z"}],"graph_snapshots":[{"event_id":"sha256:728f883c703f8538fefad203854601bcdcce57219766cfb81cb0825834ea56ba","target":"graph","created_at":"2026-07-05T11:17:55Z","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/2506.06804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Indoor scene understanding remains a fundamental challenge in robotics, with direct implications for downstream tasks such as navigation and manipulation. Traditional approaches often rely on closed-set recognition or loop closure, limiting their adaptability in open-world environments. With the advent of visual foundation models (VFMs), open-vocabulary recognition and natural language querying have become feasible, unlocking new possibilities for 3D scene graph construction.\n  In this paper, we propose a robust and efficient framework for instance-level 3D scene graph construction via LiDAR-c","authors_text":"Biyu Ye, Hongming Chen, Ximin Lyu, Yiyang Lin, Yuying Zhang, Ziliang Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-07T13:55:34Z","title":"IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06804","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:e1d06b81a719b1f629514c54d23dc52ae75080f095c2b672f74458ecb65e9bea","target":"record","created_at":"2026-07-05T11:17:55Z","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":"ab2434f5393404109b31c88ce5f1618c5321e42eb5bc16fc60bc3e2b518a4ece","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-07T13:55:34Z","title_canon_sha256":"f0f002a0f25ad4fc8be8174dabd875e164fb6509707480feafd26ee6ca540d7b"},"schema_version":"1.0","source":{"id":"2506.06804","kind":"arxiv","version":1}},"canonical_sha256":"d9f728054e17e8786436fd1d0527609ef4c7f15d30ca0c72e2d3af6815582971","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9f728054e17e8786436fd1d0527609ef4c7f15d30ca0c72e2d3af6815582971","first_computed_at":"2026-07-05T11:17:55.921611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:55.921611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EdMBXKSio/Q2YjcfjemrVZDNmgPgOI1/OlinrUM02KEViOBsUk3kPnhzL0LjFzT0HuxYN5pxnSbNT3RzjAhnBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:55.922044Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06804","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1d06b81a719b1f629514c54d23dc52ae75080f095c2b672f74458ecb65e9bea","sha256:728f883c703f8538fefad203854601bcdcce57219766cfb81cb0825834ea56ba"],"state_sha256":"df329acb85a0e96db3ae41ebe394e08b2ac141a4b196da7b10faffcdf6758db1"}