{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:YIETN2YEX3PAZ33U4G4U5JPIIL","short_pith_number":"pith:YIETN2YE","schema_version":"1.0","canonical_sha256":"c20936eb04bede0cef74e1b94ea5e842de7f6b04231b823d63bba6886f966fa7","source":{"kind":"arxiv","id":"2307.12761","version":2},"attestation_state":"computed","paper":{"title":"LiDAR Meta Depth Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dengxin Dai, Ke Li, Lukas Hoyer, Ozan Unal, Wolfgang Boettcher","submitted_at":"2023-07-24T13:05:36Z","abstract_excerpt":"Depth estimation is one of the essential tasks to be addressed when creating mobile autonomous systems. While monocular depth estimation methods have improved in recent times, depth completion provides more accurate and reliable depth maps by additionally using sparse depth information from other sensors such as LiDAR. However, current methods are specifically trained for a single LiDAR sensor. As the scanning pattern differs between sensors, every new sensor would require re-training a specialized depth completion model, which is computationally inefficient and not flexible. Therefore, we pro"},"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":"2307.12761","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-24T13:05:36Z","cross_cats_sorted":[],"title_canon_sha256":"933326605c24f852464f52cf30c1044af0e117762b70b1eb31fae8c9a05f646a","abstract_canon_sha256":"05c99d408245729142b136d3aab94134911819b97caa215bbda3374ad157c912"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:50.737100Z","signature_b64":"D3Z1lKZ+Muf0Ypo2X2aoOrVafey+QVY5YLWeLs40AEPSFnPgCtyfHJm/G1AGvDWN8eD/1gQyD7F3wRwqflQ7DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c20936eb04bede0cef74e1b94ea5e842de7f6b04231b823d63bba6886f966fa7","last_reissued_at":"2026-07-05T06:41:50.736632Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:50.736632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LiDAR Meta Depth Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dengxin Dai, Ke Li, Lukas Hoyer, Ozan Unal, Wolfgang Boettcher","submitted_at":"2023-07-24T13:05:36Z","abstract_excerpt":"Depth estimation is one of the essential tasks to be addressed when creating mobile autonomous systems. While monocular depth estimation methods have improved in recent times, depth completion provides more accurate and reliable depth maps by additionally using sparse depth information from other sensors such as LiDAR. However, current methods are specifically trained for a single LiDAR sensor. As the scanning pattern differs between sensors, every new sensor would require re-training a specialized depth completion model, which is computationally inefficient and not flexible. Therefore, we pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.12761","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/2307.12761/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":"2307.12761","created_at":"2026-07-05T06:41:50.736693+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.12761v2","created_at":"2026-07-05T06:41:50.736693+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.12761","created_at":"2026-07-05T06:41:50.736693+00:00"},{"alias_kind":"pith_short_12","alias_value":"YIETN2YEX3PA","created_at":"2026-07-05T06:41:50.736693+00:00"},{"alias_kind":"pith_short_16","alias_value":"YIETN2YEX3PAZ33U","created_at":"2026-07-05T06:41:50.736693+00:00"},{"alias_kind":"pith_short_8","alias_value":"YIETN2YE","created_at":"2026-07-05T06:41:50.736693+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/YIETN2YEX3PAZ33U4G4U5JPIIL","json":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL.json","graph_json":"https://pith.science/api/pith-number/YIETN2YEX3PAZ33U4G4U5JPIIL/graph.json","events_json":"https://pith.science/api/pith-number/YIETN2YEX3PAZ33U4G4U5JPIIL/events.json","paper":"https://pith.science/paper/YIETN2YE"},"agent_actions":{"view_html":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL","download_json":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL.json","view_paper":"https://pith.science/paper/YIETN2YE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.12761&json=true","fetch_graph":"https://pith.science/api/pith-number/YIETN2YEX3PAZ33U4G4U5JPIIL/graph.json","fetch_events":"https://pith.science/api/pith-number/YIETN2YEX3PAZ33U4G4U5JPIIL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL/action/storage_attestation","attest_author":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL/action/author_attestation","sign_citation":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL/action/citation_signature","submit_replication":"https://pith.science/pith/YIETN2YEX3PAZ33U4G4U5JPIIL/action/replication_record"}},"created_at":"2026-07-05T06:41:50.736693+00:00","updated_at":"2026-07-05T06:41:50.736693+00:00"}