{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ECTRY4NHGYAA4HI24VZI2MKZZD","short_pith_number":"pith:ECTRY4NH","schema_version":"1.0","canonical_sha256":"20a71c71a736000e1d1ae5728d3159c8d64260143edc0779141be782b0d7b70e","source":{"kind":"arxiv","id":"2608.01492","version":1},"attestation_state":"computed","paper":{"title":"GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baihan Yang, Tiexin Li, Truong Nguyen, Xiaohui Xie, Xinke Li, Xin Lin, Yuheng Liu","submitted_at":"2026-08-02T20:51:09Z","abstract_excerpt":"Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene editing and embodied interaction. Existing 3DGS-based methods either retrain the Gaussian representation to embed per-object labels, or build dense multi-view SAM observations, both requiring heavy computation and dense viewpoint coverage that is rarely available in practice. We present GaussianSelector, a training-free framework for interactive 3D object selection from sparse views and sparse scribble guidance. Operating directly on native Gaussian primitives, we coarsen dense G"},"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":"2608.01492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-02T20:51:09Z","cross_cats_sorted":[],"title_canon_sha256":"0ce40f938557c8271b8bdd357829e8395ab0b8fa6deb61ef3217accf56819657","abstract_canon_sha256":"24e667e5667ae60b4b55f7ca294bf10f45d3472a35d339206bcfabd013675722"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:05:31.165690Z","signature_b64":"pn0dsVaBQMJvz8Ti/DcO5F+052dT9X+LQMaCp2NkGOciBjIvJg0HKWNKb9DiYrZz+CKklqJr8CrWbA5eyx6ICw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20a71c71a736000e1d1ae5728d3159c8d64260143edc0779141be782b0d7b70e","last_reissued_at":"2026-08-04T02:05:31.164190Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:05:31.164190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baihan Yang, Tiexin Li, Truong Nguyen, Xiaohui Xie, Xinke Li, Xin Lin, Yuheng Liu","submitted_at":"2026-08-02T20:51:09Z","abstract_excerpt":"Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene editing and embodied interaction. Existing 3DGS-based methods either retrain the Gaussian representation to embed per-object labels, or build dense multi-view SAM observations, both requiring heavy computation and dense viewpoint coverage that is rarely available in practice. We present GaussianSelector, a training-free framework for interactive 3D object selection from sparse views and sparse scribble guidance. Operating directly on native Gaussian primitives, we coarsen dense G"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01492","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/2608.01492/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":"2608.01492","created_at":"2026-08-04T02:05:31.165631+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.01492v1","created_at":"2026-08-04T02:05:31.165631+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01492","created_at":"2026-08-04T02:05:31.165631+00:00"},{"alias_kind":"pith_short_12","alias_value":"ECTRY4NHGYAA","created_at":"2026-08-04T02:05:31.165631+00:00"},{"alias_kind":"pith_short_16","alias_value":"ECTRY4NHGYAA4HI2","created_at":"2026-08-04T02:05:31.165631+00:00"},{"alias_kind":"pith_short_8","alias_value":"ECTRY4NH","created_at":"2026-08-04T02:05:31.165631+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD","json":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD.json","graph_json":"https://pith.science/api/pith-number/ECTRY4NHGYAA4HI24VZI2MKZZD/graph.json","events_json":"https://pith.science/api/pith-number/ECTRY4NHGYAA4HI24VZI2MKZZD/events.json","paper":"https://pith.science/paper/ECTRY4NH"},"agent_actions":{"view_html":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD","download_json":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD.json","view_paper":"https://pith.science/paper/ECTRY4NH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.01492&json=true","fetch_graph":"https://pith.science/api/pith-number/ECTRY4NHGYAA4HI24VZI2MKZZD/graph.json","fetch_events":"https://pith.science/api/pith-number/ECTRY4NHGYAA4HI24VZI2MKZZD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD/action/storage_attestation","attest_author":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD/action/author_attestation","sign_citation":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD/action/citation_signature","submit_replication":"https://pith.science/pith/ECTRY4NHGYAA4HI24VZI2MKZZD/action/replication_record"}},"created_at":"2026-08-04T02:05:31.165631+00:00","updated_at":"2026-08-04T02:05:31.165631+00:00"}