{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:JFZPQQ3PL54JRXNRXFV4O5W6WT","short_pith_number":"pith:JFZPQQ3P","schema_version":"1.0","canonical_sha256":"4972f8436f5f7898ddb1b96bc776deb4e3968501f4b022ab68367416a52586aa","source":{"kind":"arxiv","id":"2409.18431","version":2},"attestation_state":"computed","paper":{"title":"Search3D: Hierarchical Open-Vocabulary 3D Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexandros Delitzas, Ayca Takmaz, Federico Tombari, Francis Engelmann, Johanna Wald, Robert W. Sumner","submitted_at":"2024-09-27T03:44:07Z","abstract_excerpt":"Open-vocabulary 3D segmentation enables exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying object-level instances but struggle with finer-grained scene entities such as object parts, or regions described by generic attributes. In this work, we introduce Search3D, an approach to construct hierarchical open-vocabulary 3D scene representations, enabling 3D search at multiple levels of granularity: fine-grained object parts, entire objects, or regions described by attributes like materials. Unlike"},"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":"2409.18431","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-27T03:44:07Z","cross_cats_sorted":[],"title_canon_sha256":"08ec9cceaea3aace17abae9f6784d065a8a0d438df762490a549d8b831a4b448","abstract_canon_sha256":"56b89428774e46ae4d1c809921af3d702f20605f48c396bfa4e9e92308978ac5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:46.476866Z","signature_b64":"CvfIW4SdzJonC8xL+2Blvt8fBrGFkf35DGZvCdD32BtmAvgv2g0CpMu7U7t2+aBZyGM2tqcSw/LC9efGwmbaDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4972f8436f5f7898ddb1b96bc776deb4e3968501f4b022ab68367416a52586aa","last_reissued_at":"2026-07-05T10:03:46.476377Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:46.476377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Search3D: Hierarchical Open-Vocabulary 3D Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexandros Delitzas, Ayca Takmaz, Federico Tombari, Francis Engelmann, Johanna Wald, Robert W. Sumner","submitted_at":"2024-09-27T03:44:07Z","abstract_excerpt":"Open-vocabulary 3D segmentation enables exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying object-level instances but struggle with finer-grained scene entities such as object parts, or regions described by generic attributes. In this work, we introduce Search3D, an approach to construct hierarchical open-vocabulary 3D scene representations, enabling 3D search at multiple levels of granularity: fine-grained object parts, entire objects, or regions described by attributes like materials. Unlike"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.18431","kind":"arxiv","version":2},"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/2409.18431/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":"2409.18431","created_at":"2026-07-05T10:03:46.476436+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.18431v2","created_at":"2026-07-05T10:03:46.476436+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.18431","created_at":"2026-07-05T10:03:46.476436+00:00"},{"alias_kind":"pith_short_12","alias_value":"JFZPQQ3PL54J","created_at":"2026-07-05T10:03:46.476436+00:00"},{"alias_kind":"pith_short_16","alias_value":"JFZPQQ3PL54JRXNR","created_at":"2026-07-05T10:03:46.476436+00:00"},{"alias_kind":"pith_short_8","alias_value":"JFZPQQ3P","created_at":"2026-07-05T10:03:46.476436+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/JFZPQQ3PL54JRXNRXFV4O5W6WT","json":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT.json","graph_json":"https://pith.science/api/pith-number/JFZPQQ3PL54JRXNRXFV4O5W6WT/graph.json","events_json":"https://pith.science/api/pith-number/JFZPQQ3PL54JRXNRXFV4O5W6WT/events.json","paper":"https://pith.science/paper/JFZPQQ3P"},"agent_actions":{"view_html":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT","download_json":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT.json","view_paper":"https://pith.science/paper/JFZPQQ3P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.18431&json=true","fetch_graph":"https://pith.science/api/pith-number/JFZPQQ3PL54JRXNRXFV4O5W6WT/graph.json","fetch_events":"https://pith.science/api/pith-number/JFZPQQ3PL54JRXNRXFV4O5W6WT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT/action/storage_attestation","attest_author":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT/action/author_attestation","sign_citation":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT/action/citation_signature","submit_replication":"https://pith.science/pith/JFZPQQ3PL54JRXNRXFV4O5W6WT/action/replication_record"}},"created_at":"2026-07-05T10:03:46.476436+00:00","updated_at":"2026-07-05T10:03:46.476436+00:00"}