{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UNQKQR46JGPKEECMT6KGLN5547","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":"a98decca445482aebabff5ab57e4837781a30e682baf9d12428d6d6cfbc884fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-14T15:50:44Z","title_canon_sha256":"ebd0a1cfae61fa6ff859fd66087f21c1a294d2b6550164f9c851eeb8a469ee0f"},"schema_version":"1.0","source":{"id":"2207.07016","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.07016","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"arxiv_version","alias_value":"2207.07016v2","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.07016","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"pith_short_12","alias_value":"UNQKQR46JGPK","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"pith_short_16","alias_value":"UNQKQR46JGPKEECM","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"pith_short_8","alias_value":"UNQKQR46","created_at":"2026-07-05T04:43:21Z"}],"graph_snapshots":[{"event_id":"sha256:1ab1b294b620917a5a82806a6f868145bb4746037c426e099b254d68ff8a7051","target":"graph","created_at":"2026-07-05T04:43:21Z","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/2207.07016/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate three-dimensional perception is a fundamental task in several computer vision applications. Recently, commercial RGB-depth (RGB-D) cameras have been widely adopted as single-view depth-sensing devices owing to their efficient depth-sensing abilities. However, the depth quality of most RGB-D sensors remains insufficient owing to the inherent noise from a single-view environment. Recently, several studies have focused on the single-view depth enhancement of RGB-D cameras. Recent research has proposed deep-learning-based approaches that typically train networks using high-quality supervi","authors_text":"Jiwan Kim, Minchang Kim, Minyoung Chung, Yeong-Gil Shin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-14T15:50:44Z","title":"Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.07016","kind":"arxiv","version":2},"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:d006956ab0d9d1f06eb6294ffacd5eb9b45946f88420517b99eb58f6fd37bdd3","target":"record","created_at":"2026-07-05T04:43:21Z","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":"a98decca445482aebabff5ab57e4837781a30e682baf9d12428d6d6cfbc884fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-14T15:50:44Z","title_canon_sha256":"ebd0a1cfae61fa6ff859fd66087f21c1a294d2b6550164f9c851eeb8a469ee0f"},"schema_version":"1.0","source":{"id":"2207.07016","kind":"arxiv","version":2}},"canonical_sha256":"a360a8479e499ea2104c9f9465b7bde7fb9d9bed35548e3700ce103e42191160","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a360a8479e499ea2104c9f9465b7bde7fb9d9bed35548e3700ce103e42191160","first_computed_at":"2026-07-05T04:43:21.245829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:43:21.245829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QYFmnmgWp6UXVI9er2MHMLpIPp2cVb+d/cWJifyg0nxxQ7CyZZSBMKBYa5Tx+IrLCWNqMY2l6SsWdLiDEPxhAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:43:21.246236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.07016","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d006956ab0d9d1f06eb6294ffacd5eb9b45946f88420517b99eb58f6fd37bdd3","sha256:1ab1b294b620917a5a82806a6f868145bb4746037c426e099b254d68ff8a7051"],"state_sha256":"e7223554bb834eee799a2f02af9e9df696f0c2a023f9f51910b466ff1615bdf0"}