{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:PDLM7P6CVLKV24NBRL4GNLNJKM","short_pith_number":"pith:PDLM7P6C","schema_version":"1.0","canonical_sha256":"78d6cfbfc2aad55d71a18af866ada9530721e41a1ffc98a7c88813106b2aa6a0","source":{"kind":"arxiv","id":"2007.14628","version":2},"attestation_state":"computed","paper":{"title":"Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dylan Campbell, Liu Liu, Stephen Gould","submitted_at":"2020-07-29T06:35:45Z","abstract_excerpt":"Blind Perspective-n-Point (PnP) is the problem of estimating the position and orientation of a camera relative to a scene, given 2D image points and 3D scene points, without prior knowledge of the 2D-3D correspondences. Solving for pose and correspondences simultaneously is extremely challenging since the search space is very large. Fortunately it is a coupled problem: the pose can be found easily given the correspondences and vice versa. Existing approaches assume that noisy correspondences are provided, that a good pose prior is available, or that the problem size is small. We instead propos"},"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":"2007.14628","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-29T06:35:45Z","cross_cats_sorted":[],"title_canon_sha256":"daf69a69e3f80d94179bda623731ae50cf728856a435b2f73e0481a4738c6d0b","abstract_canon_sha256":"710b20a2fca4efbcf1f4fe33e216b8b28a25be92dd37bd9e5571cc39c2e95e60"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:33:41.774142Z","signature_b64":"hc4py/wlgzGlmQRcVO+gHlsYW3xfsOmxkcObyOueQI1r0KHSdE2hQm18ry4ouoJfyJKBaqlYJw8sHI+F+gtuAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78d6cfbfc2aad55d71a18af866ada9530721e41a1ffc98a7c88813106b2aa6a0","last_reissued_at":"2026-07-05T01:33:41.773780Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:33:41.773780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dylan Campbell, Liu Liu, Stephen Gould","submitted_at":"2020-07-29T06:35:45Z","abstract_excerpt":"Blind Perspective-n-Point (PnP) is the problem of estimating the position and orientation of a camera relative to a scene, given 2D image points and 3D scene points, without prior knowledge of the 2D-3D correspondences. Solving for pose and correspondences simultaneously is extremely challenging since the search space is very large. Fortunately it is a coupled problem: the pose can be found easily given the correspondences and vice versa. Existing approaches assume that noisy correspondences are provided, that a good pose prior is available, or that the problem size is small. We instead propos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.14628","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/2007.14628/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":"2007.14628","created_at":"2026-07-05T01:33:41.773841+00:00"},{"alias_kind":"arxiv_version","alias_value":"2007.14628v2","created_at":"2026-07-05T01:33:41.773841+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.14628","created_at":"2026-07-05T01:33:41.773841+00:00"},{"alias_kind":"pith_short_12","alias_value":"PDLM7P6CVLKV","created_at":"2026-07-05T01:33:41.773841+00:00"},{"alias_kind":"pith_short_16","alias_value":"PDLM7P6CVLKV24NB","created_at":"2026-07-05T01:33:41.773841+00:00"},{"alias_kind":"pith_short_8","alias_value":"PDLM7P6C","created_at":"2026-07-05T01:33:41.773841+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/PDLM7P6CVLKV24NBRL4GNLNJKM","json":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM.json","graph_json":"https://pith.science/api/pith-number/PDLM7P6CVLKV24NBRL4GNLNJKM/graph.json","events_json":"https://pith.science/api/pith-number/PDLM7P6CVLKV24NBRL4GNLNJKM/events.json","paper":"https://pith.science/paper/PDLM7P6C"},"agent_actions":{"view_html":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM","download_json":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM.json","view_paper":"https://pith.science/paper/PDLM7P6C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2007.14628&json=true","fetch_graph":"https://pith.science/api/pith-number/PDLM7P6CVLKV24NBRL4GNLNJKM/graph.json","fetch_events":"https://pith.science/api/pith-number/PDLM7P6CVLKV24NBRL4GNLNJKM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM/action/storage_attestation","attest_author":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM/action/author_attestation","sign_citation":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM/action/citation_signature","submit_replication":"https://pith.science/pith/PDLM7P6CVLKV24NBRL4GNLNJKM/action/replication_record"}},"created_at":"2026-07-05T01:33:41.773841+00:00","updated_at":"2026-07-05T01:33:41.773841+00:00"}