{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:F5NWKN6THJF4THT7CDTT2IFAIF","short_pith_number":"pith:F5NWKN6T","schema_version":"1.0","canonical_sha256":"2f5b6537d33a4bc99e7f10e73d20a0416a9f0d2d3aebc777f1ed5da04405c274","source":{"kind":"arxiv","id":"1211.1752","version":1},"attestation_state":"computed","paper":{"title":"3D Scene Grammar for Parsing RGB-D Pointclouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhishek Anand, Sherwin Li","submitted_at":"2012-11-08T03:11:53Z","abstract_excerpt":"We pose 3D scene-understanding as a problem of parsing in a grammar. A grammar helps us capture the compositional structure of real-word objects, e.g., a chair is composed of a seat, a back-rest and some legs. Having multiple rules for an object helps us capture structural variations in objects, e.g., a chair can optionally also have arm-rests. Finally, having rules to capture composition at different levels helps us formulate the entire scene-processing pipeline as a single problem of finding most likely parse-tree---small segments combine to form parts of objects, parts to objects and object"},"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":"1211.1752","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-11-08T03:11:53Z","cross_cats_sorted":[],"title_canon_sha256":"bc76dce5941d4da5f31f4452507a520415bd254c43b90d462468169783c6f932","abstract_canon_sha256":"51f50b1ffdd875b1d62a52c05d057869e838db39420ab6a5a438422a3dc256db"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:41:19.621117Z","signature_b64":"+b9HcWwLNBajs/66TI9qYvguucLw7iaI3wVb4TAAhCX0ANSX9bcdTViG8iFO+MCxA6YluZJ/sbWfwRPeIaUMAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f5b6537d33a4bc99e7f10e73d20a0416a9f0d2d3aebc777f1ed5da04405c274","last_reissued_at":"2026-05-18T03:41:19.620707Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:41:19.620707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"3D Scene Grammar for Parsing RGB-D Pointclouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhishek Anand, Sherwin Li","submitted_at":"2012-11-08T03:11:53Z","abstract_excerpt":"We pose 3D scene-understanding as a problem of parsing in a grammar. A grammar helps us capture the compositional structure of real-word objects, e.g., a chair is composed of a seat, a back-rest and some legs. Having multiple rules for an object helps us capture structural variations in objects, e.g., a chair can optionally also have arm-rests. Finally, having rules to capture composition at different levels helps us formulate the entire scene-processing pipeline as a single problem of finding most likely parse-tree---small segments combine to form parts of objects, parts to objects and object"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.1752","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":""},"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":"1211.1752","created_at":"2026-05-18T03:41:19.620773+00:00"},{"alias_kind":"arxiv_version","alias_value":"1211.1752v1","created_at":"2026-05-18T03:41:19.620773+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.1752","created_at":"2026-05-18T03:41:19.620773+00:00"},{"alias_kind":"pith_short_12","alias_value":"F5NWKN6THJF4","created_at":"2026-05-18T12:27:04.183437+00:00"},{"alias_kind":"pith_short_16","alias_value":"F5NWKN6THJF4THT7","created_at":"2026-05-18T12:27:04.183437+00:00"},{"alias_kind":"pith_short_8","alias_value":"F5NWKN6T","created_at":"2026-05-18T12:27:04.183437+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/F5NWKN6THJF4THT7CDTT2IFAIF","json":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF.json","graph_json":"https://pith.science/api/pith-number/F5NWKN6THJF4THT7CDTT2IFAIF/graph.json","events_json":"https://pith.science/api/pith-number/F5NWKN6THJF4THT7CDTT2IFAIF/events.json","paper":"https://pith.science/paper/F5NWKN6T"},"agent_actions":{"view_html":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF","download_json":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF.json","view_paper":"https://pith.science/paper/F5NWKN6T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1211.1752&json=true","fetch_graph":"https://pith.science/api/pith-number/F5NWKN6THJF4THT7CDTT2IFAIF/graph.json","fetch_events":"https://pith.science/api/pith-number/F5NWKN6THJF4THT7CDTT2IFAIF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF/action/storage_attestation","attest_author":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF/action/author_attestation","sign_citation":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF/action/citation_signature","submit_replication":"https://pith.science/pith/F5NWKN6THJF4THT7CDTT2IFAIF/action/replication_record"}},"created_at":"2026-05-18T03:41:19.620773+00:00","updated_at":"2026-05-18T03:41:19.620773+00:00"}