{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KNPTVSAZOS5ZFDXAPE57GYNVZE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3a483c65ab6f9550a630dc5596a3c00fea8ddb3a01e1b0b4f9ba70d512814803","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-21T11:07:08Z","title_canon_sha256":"461ff7551d1d67ea10ba363fde6c1aaaa5f9b70e70c524fe3b7297970e747d6d"},"schema_version":"1.0","source":{"id":"1808.06843","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.06843","created_at":"2026-05-18T00:07:38Z"},{"alias_kind":"arxiv_version","alias_value":"1808.06843v1","created_at":"2026-05-18T00:07:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.06843","created_at":"2026-05-18T00:07:38Z"},{"alias_kind":"pith_short_12","alias_value":"KNPTVSAZOS5Z","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KNPTVSAZOS5ZFDXA","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KNPTVSAZ","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:a5e86f53fb1db01c3c61537f91ba12768b337299b7087342e90b30b6ff4da4f9","target":"graph","created_at":"2026-05-18T00:07:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"3D geometry is a very informative cue when interacting with and navigating an environment. This writing proposes a new approach to 3D reconstruction and scene understanding, which implicitly learns 3D geometry from depth maps pairing a deep convolutional neural network architecture with an auto-encoder. A data set of synthetic depth views and voxelized 3D representations is built based on ModelNet, a large-scale collection of CAD models, to train networks. The proposed method offers a significant advantage over current, explicit reconstruction methods in that it learns key geometric features o","authors_text":"Dario Rethage, Federico Tombari, Felix Achilles, Nassir Navab","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-21T11:07:08Z","title":"Deep Learned Full-3D Object Completion from Single View"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.06843","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:34e208e2c6d5893c4ebfeafb9ffdb8964ee17c2f66d16daf70416f9e07e66ad6","target":"record","created_at":"2026-05-18T00:07:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3a483c65ab6f9550a630dc5596a3c00fea8ddb3a01e1b0b4f9ba70d512814803","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-21T11:07:08Z","title_canon_sha256":"461ff7551d1d67ea10ba363fde6c1aaaa5f9b70e70c524fe3b7297970e747d6d"},"schema_version":"1.0","source":{"id":"1808.06843","kind":"arxiv","version":1}},"canonical_sha256":"535f3ac81974bb928ee0793bf361b5c9141c395f1b4167b1fc245ac7963c5700","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"535f3ac81974bb928ee0793bf361b5c9141c395f1b4167b1fc245ac7963c5700","first_computed_at":"2026-05-18T00:07:38.887553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:38.887553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F0fXd7zQPRXq1n9NI/J2EPoPeOr9g4zLNlFy0WNd/QYzVQ1JJ6rAf5I908sqWLT4EIqbhZMRMGvhgnOfdH38CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:38.888363Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.06843","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34e208e2c6d5893c4ebfeafb9ffdb8964ee17c2f66d16daf70416f9e07e66ad6","sha256:a5e86f53fb1db01c3c61537f91ba12768b337299b7087342e90b30b6ff4da4f9"],"state_sha256":"01b986aaf5be7149ea6aed8ad855f31262fd5dda77a95abc25b4c07f49fa4c06"}