{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:KCZX24BLXELOD3H4LBLK2RVWSY","short_pith_number":"pith:KCZX24BL","schema_version":"1.0","canonical_sha256":"50b37d702bb916e1ecfc5856ad46b69618c27aa5baabd9fb607e4f6e482867b1","source":{"kind":"arxiv","id":"2306.02851","version":3},"attestation_state":"computed","paper":{"title":"Scene as Occupancy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Chonghao Sima, Dahua Lin, HanMing Deng, Hongyang Li, Lewei Lu, Li Chen, Ping Luo, Silei Wu, Tai Wang, Wenwen Tong, Yi Gu","submitted_at":"2023-06-05T13:01:38Z","abstract_excerpt":"Human driver can easily describe the complex traffic scene by visual system. Such an ability of precise perception is essential for driver's planning. To achieve this, a geometry-aware representation that quantizes the physical 3D scene into structured grid map with semantic labels per cell, termed as 3D Occupancy, would be desirable. Compared to the form of bounding box, a key insight behind occupancy is that it could capture the fine-grained details of critical obstacles in the scene, and thereby facilitate subsequent tasks. Prior or concurrent literature mainly concentrate on a single scene"},"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":"2306.02851","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-05T13:01:38Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"b33c11f3a45a73742941b3c5be8e9c32f0599e10ba2636d6a99809ea455a3e44","abstract_canon_sha256":"8459fe048250b2c949bd314f6a1d97c318da1b020fb33e8f9f31fd0a8af88343"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:24:30.514663Z","signature_b64":"uhGQ6P2jp0TR3YLa1ymvpbLKtM7VqeiWU5iCjbURe4xSCebvKdJxCdqUlljY0fUwEV4NSav7GYfIl+bCWWdCDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50b37d702bb916e1ecfc5856ad46b69618c27aa5baabd9fb607e4f6e482867b1","last_reissued_at":"2026-07-05T06:24:30.514225Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:24:30.514225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Scene as Occupancy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Chonghao Sima, Dahua Lin, HanMing Deng, Hongyang Li, Lewei Lu, Li Chen, Ping Luo, Silei Wu, Tai Wang, Wenwen Tong, Yi Gu","submitted_at":"2023-06-05T13:01:38Z","abstract_excerpt":"Human driver can easily describe the complex traffic scene by visual system. Such an ability of precise perception is essential for driver's planning. To achieve this, a geometry-aware representation that quantizes the physical 3D scene into structured grid map with semantic labels per cell, termed as 3D Occupancy, would be desirable. Compared to the form of bounding box, a key insight behind occupancy is that it could capture the fine-grained details of critical obstacles in the scene, and thereby facilitate subsequent tasks. Prior or concurrent literature mainly concentrate on a single scene"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02851","kind":"arxiv","version":3},"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/2306.02851/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":"2306.02851","created_at":"2026-07-05T06:24:30.514281+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.02851v3","created_at":"2026-07-05T06:24:30.514281+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02851","created_at":"2026-07-05T06:24:30.514281+00:00"},{"alias_kind":"pith_short_12","alias_value":"KCZX24BLXELO","created_at":"2026-07-05T06:24:30.514281+00:00"},{"alias_kind":"pith_short_16","alias_value":"KCZX24BLXELOD3H4","created_at":"2026-07-05T06:24:30.514281+00:00"},{"alias_kind":"pith_short_8","alias_value":"KCZX24BL","created_at":"2026-07-05T06:24:30.514281+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/KCZX24BLXELOD3H4LBLK2RVWSY","json":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY.json","graph_json":"https://pith.science/api/pith-number/KCZX24BLXELOD3H4LBLK2RVWSY/graph.json","events_json":"https://pith.science/api/pith-number/KCZX24BLXELOD3H4LBLK2RVWSY/events.json","paper":"https://pith.science/paper/KCZX24BL"},"agent_actions":{"view_html":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY","download_json":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY.json","view_paper":"https://pith.science/paper/KCZX24BL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.02851&json=true","fetch_graph":"https://pith.science/api/pith-number/KCZX24BLXELOD3H4LBLK2RVWSY/graph.json","fetch_events":"https://pith.science/api/pith-number/KCZX24BLXELOD3H4LBLK2RVWSY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY/action/storage_attestation","attest_author":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY/action/author_attestation","sign_citation":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY/action/citation_signature","submit_replication":"https://pith.science/pith/KCZX24BLXELOD3H4LBLK2RVWSY/action/replication_record"}},"created_at":"2026-07-05T06:24:30.514281+00:00","updated_at":"2026-07-05T06:24:30.514281+00:00"}