{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KB4FIYCGWKXJ3MJZ4GSNJT5RS4","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":"8636a48c9b7e75919b44dbc3dc98b81ec44efa0116ebe158781a99b17437e6d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-22T12:58:43Z","title_canon_sha256":"1f207ac4cc4edeebf9c6a4dbf97bbb5e1bdce7afa7944b5efbdbf0ab460b5fb5"},"schema_version":"1.0","source":{"id":"1908.08344","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08344","created_at":"2026-07-05T04:30:17Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08344v3","created_at":"2026-07-05T04:30:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08344","created_at":"2026-07-05T04:30:17Z"},{"alias_kind":"pith_short_12","alias_value":"KB4FIYCGWKXJ","created_at":"2026-07-05T04:30:17Z"},{"alias_kind":"pith_short_16","alias_value":"KB4FIYCGWKXJ3MJZ","created_at":"2026-07-05T04:30:17Z"},{"alias_kind":"pith_short_8","alias_value":"KB4FIYCG","created_at":"2026-07-05T04:30:17Z"}],"graph_snapshots":[{"event_id":"sha256:97e29eb803c22800d8ec54d9af3dfaa5211e12669d89104dddd397b774a0018a","target":"graph","created_at":"2026-07-05T04:30:17Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.08344/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depth estimation features are helpful for 3D recognition. Commodity-grade depth cameras are able to capture depth and color image in real-time. However, glossy, transparent or distant surface cannot be scanned properly by the sensor. As a result, enhancement and restoration from sensing depth is an important task. Depth completion aims at filling the holes that sensors fail to detect, which is still a complex task for machine to learn. Traditional hand-tuned methods have reached their limits, while neural network based methods tend to copy and interpolate the output from surrounding depth valu","authors_text":"Tsung-Han Wu, Winston H. Hsu, Yueh-Cheng Liu, Yu-Kai Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-22T12:58:43Z","title":"Indoor Depth Completion with Boundary Consistency and Self-Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08344","kind":"arxiv","version":3},"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:ff4299b7942268f74ce5429d470346644a2fea8afc5bfaa0ffcd98e1202fd55a","target":"record","created_at":"2026-07-05T04:30:17Z","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":"8636a48c9b7e75919b44dbc3dc98b81ec44efa0116ebe158781a99b17437e6d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-22T12:58:43Z","title_canon_sha256":"1f207ac4cc4edeebf9c6a4dbf97bbb5e1bdce7afa7944b5efbdbf0ab460b5fb5"},"schema_version":"1.0","source":{"id":"1908.08344","kind":"arxiv","version":3}},"canonical_sha256":"5078546046b2ae9db139e1a4d4cfb1972b52d746284d577153f567a24ee0c2a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5078546046b2ae9db139e1a4d4cfb1972b52d746284d577153f567a24ee0c2a6","first_computed_at":"2026-07-05T04:30:17.408279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:30:17.408279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JPH5JcDpMYMYRI1NSqfiKkdqMlxJ1Hzie7FpkzJmlRHAh7oAc1MvYhSRkkCI1W7qBm2fD1kQKwALIKD8A3H3Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:30:17.408680Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08344","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff4299b7942268f74ce5429d470346644a2fea8afc5bfaa0ffcd98e1202fd55a","sha256:97e29eb803c22800d8ec54d9af3dfaa5211e12669d89104dddd397b774a0018a"],"state_sha256":"f02ec411b2f67a7739af6a17910edf7189d47e0ca97a3c3e1860340f0b18384b"}