{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:Q3JU4IZOZCGMA7SOEAHZ66ZXOI","short_pith_number":"pith:Q3JU4IZO","schema_version":"1.0","canonical_sha256":"86d34e232ec88cc07e4e200f9f7b37723cc62ed274dc7eeb521608771be0071b","source":{"kind":"arxiv","id":"2207.07933","version":2},"attestation_state":"computed","paper":{"title":"Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ling Jiang, Qian Ye, Wang Zhen, Yuyang Du","submitted_at":"2022-07-16T13:00:32Z","abstract_excerpt":"Low-cost autonomous agents including autonomous driving vehicles chiefly adopt monocular 3D object detection to perceive surrounding environment. This paper studies 3D intermediate representation methods which generate intermediate 3D features for subsequent tasks. For example, the 3D features can be taken as input for not only detection, but also end-to-end prediction and/or planning that require a bird's-eye-view feature representation. In the study, we found that in generating 3D representation previous methods do not maintain the consistency between the objects' implicit poses in the laten"},"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":"2207.07933","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-16T13:00:32Z","cross_cats_sorted":[],"title_canon_sha256":"32e65d255303c2cefaa8d1676c15dfed370dc6dca00854b32acf7e2166e7e7f2","abstract_canon_sha256":"bbddc4d3c05f5a576733e4d17734ec7afb4d326636abf5514fbf5d61850e035d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:19:35.935924Z","signature_b64":"bcQqa1/NoZNdbmYlyM/lW3yfM45PVhmH7drqVYSQMmvXbaUycM3wIYWsJgp0kZgb9oMv6qihpK85XuHClgitCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"86d34e232ec88cc07e4e200f9f7b37723cc62ed274dc7eeb521608771be0071b","last_reissued_at":"2026-07-05T05:19:35.935466Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:19:35.935466Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ling Jiang, Qian Ye, Wang Zhen, Yuyang Du","submitted_at":"2022-07-16T13:00:32Z","abstract_excerpt":"Low-cost autonomous agents including autonomous driving vehicles chiefly adopt monocular 3D object detection to perceive surrounding environment. This paper studies 3D intermediate representation methods which generate intermediate 3D features for subsequent tasks. For example, the 3D features can be taken as input for not only detection, but also end-to-end prediction and/or planning that require a bird's-eye-view feature representation. In the study, we found that in generating 3D representation previous methods do not maintain the consistency between the objects' implicit poses in the laten"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.07933","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/2207.07933/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":"2207.07933","created_at":"2026-07-05T05:19:35.935523+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.07933v2","created_at":"2026-07-05T05:19:35.935523+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.07933","created_at":"2026-07-05T05:19:35.935523+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q3JU4IZOZCGM","created_at":"2026-07-05T05:19:35.935523+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q3JU4IZOZCGMA7SO","created_at":"2026-07-05T05:19:35.935523+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q3JU4IZO","created_at":"2026-07-05T05:19:35.935523+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/Q3JU4IZOZCGMA7SOEAHZ66ZXOI","json":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI.json","graph_json":"https://pith.science/api/pith-number/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/graph.json","events_json":"https://pith.science/api/pith-number/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/events.json","paper":"https://pith.science/paper/Q3JU4IZO"},"agent_actions":{"view_html":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI","download_json":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI.json","view_paper":"https://pith.science/paper/Q3JU4IZO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.07933&json=true","fetch_graph":"https://pith.science/api/pith-number/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/graph.json","fetch_events":"https://pith.science/api/pith-number/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/action/storage_attestation","attest_author":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/action/author_attestation","sign_citation":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/action/citation_signature","submit_replication":"https://pith.science/pith/Q3JU4IZOZCGMA7SOEAHZ66ZXOI/action/replication_record"}},"created_at":"2026-07-05T05:19:35.935523+00:00","updated_at":"2026-07-05T05:19:35.935523+00:00"}