{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZK5AINSCCEOS7SPB6RFT5C6BKY","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":"cda37b442d4e15a77f011671c137afe8250fb0dad45cf3aa7887c6c3144099a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-21T12:12:43Z","title_canon_sha256":"3eda220492840cdfb292ace3823ea13141c46627312e8cc49be5d41b9fe6f75e"},"schema_version":"1.0","source":{"id":"2504.15049","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15049","created_at":"2026-07-05T10:51:55Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15049v1","created_at":"2026-07-05T10:51:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15049","created_at":"2026-07-05T10:51:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZK5AINSCCEOS","created_at":"2026-07-05T10:51:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZK5AINSCCEOS7SPB","created_at":"2026-07-05T10:51:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZK5AINSC","created_at":"2026-07-05T10:51:55Z"}],"graph_snapshots":[{"event_id":"sha256:6855477c296de5da580b6aebf2c9d1a944c6c8f0fe4cc1d73c039c1279fd5100","target":"graph","created_at":"2026-07-05T10:51:55Z","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/2504.15049/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the fast pace of 3D capture technology and resulting abundance of 3D data, effective 3D scene editing becomes essential for a variety of graphics applications. In this work we present ScanEdit, an instruction-driven method for functional editing of complex, real-world 3D scans. To model large and interdependent sets of ob- jectswe propose a hierarchically-guided approach. Given a 3D scan decomposed into its object instances, we first construct a hierarchical scene graph representation to enable effective, tractable editing. We then leverage reason- ing capabilities of Large Language Model","authors_text":"Angela Dai, Ivan Laptev, Mohamed el amine boudjoghra","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-21T12:12:43Z","title":"ScanEdit: Hierarchically-Guided Functional 3D Scan Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15049","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:c5295985c2072a175f124924fd7fe695d7eacf675fa18c00f3f8836123aa0409","target":"record","created_at":"2026-07-05T10:51:55Z","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":"cda37b442d4e15a77f011671c137afe8250fb0dad45cf3aa7887c6c3144099a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-21T12:12:43Z","title_canon_sha256":"3eda220492840cdfb292ace3823ea13141c46627312e8cc49be5d41b9fe6f75e"},"schema_version":"1.0","source":{"id":"2504.15049","kind":"arxiv","version":1}},"canonical_sha256":"caba043642111d2fc9e1f44b3e8bc156384d12208b6a3a3f283a850d084acf4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caba043642111d2fc9e1f44b3e8bc156384d12208b6a3a3f283a850d084acf4c","first_computed_at":"2026-07-05T10:51:55.386992Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:55.386992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9VFFSGUiAdAft6jigZuB/hZQXXrJxIcptAbdGlJsA23jxg0elsXYOCdjzXe8xa4Yg292dMr/C81arMn2RHdMCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:55.387501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15049","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5295985c2072a175f124924fd7fe695d7eacf675fa18c00f3f8836123aa0409","sha256:6855477c296de5da580b6aebf2c9d1a944c6c8f0fe4cc1d73c039c1279fd5100"],"state_sha256":"15761d1d75a39487a7c49c55cbd1c1044d221a9624e8108b0f734295bca79b85"}