{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:PNN4X56ULTR5LWLV35AENIFF5Y","short_pith_number":"pith:PNN4X56U","canonical_record":{"source":{"id":"2006.03761","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T02:46:39Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"be183569ceea247b2c4c832ef5760ee18dd8b59455062811fd8a7544d7458a39","abstract_canon_sha256":"93be33538fe4d577a52cb98f103f71b97f39dfe26c9e76fa15e31ef972f3c9d2"},"schema_version":"1.0"},"canonical_sha256":"7b5bcbf7d45ce3d5d975df4046a0a5ee22fb7ce4ca9394023a4987c5311dbb1b","source":{"kind":"arxiv","id":"2006.03761","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03761","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03761v4","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03761","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"pith_short_12","alias_value":"PNN4X56ULTR5","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"pith_short_16","alias_value":"PNN4X56ULTR5LWLV","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"pith_short_8","alias_value":"PNN4X56U","created_at":"2026-07-05T01:20:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:PNN4X56ULTR5LWLV35AENIFF5Y","target":"record","payload":{"canonical_record":{"source":{"id":"2006.03761","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T02:46:39Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"be183569ceea247b2c4c832ef5760ee18dd8b59455062811fd8a7544d7458a39","abstract_canon_sha256":"93be33538fe4d577a52cb98f103f71b97f39dfe26c9e76fa15e31ef972f3c9d2"},"schema_version":"1.0"},"canonical_sha256":"7b5bcbf7d45ce3d5d975df4046a0a5ee22fb7ce4ca9394023a4987c5311dbb1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:20:18.925102Z","signature_b64":"IvqjorXY19tl+U4Mr8RX2pC3zV1MlLIaxisEf57yzA63Hdpec6Ypcsj5tGu5UtY/gIGFY0xSbic1ZqSSs2wABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b5bcbf7d45ce3d5d975df4046a0a5ee22fb7ce4ca9394023a4987c5311dbb1b","last_reissued_at":"2026-07-05T01:20:18.924659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:20:18.924659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.03761","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:20:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4hMwX7JrxsfuOE098UrnJ1K8R7IpLE6aLXVXbr3XRmiYmV+mIf7zlZXWUztEAw5WTiH2IFPYQm75GVZSthpuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:50:54.259988Z"},"content_sha256":"20f29f415947522ca45cb31cd8a8ab2cf24aaa329653f8f550a009a29b27f7e5","schema_version":"1.0","event_id":"sha256:20f29f415947522ca45cb31cd8a8ab2cf24aaa329653f8f550a009a29b27f7e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:PNN4X56ULTR5LWLV35AENIFF5Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GRNet: Gridding Residual Network for Dense Point Cloud Completion","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Haozhe Xie, Hongxun Yao, Jiageng Mao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun","submitted_at":"2020-06-06T02:46:39Z","abstract_excerpt":"Estimating the complete 3D point cloud from an incomplete one is a key problem in many vision and robotics applications. Mainstream methods (e.g., PCN and TopNet) use Multi-layer Perceptrons (MLPs) to directly process point clouds, which may cause the loss of details because the structural and context of point clouds are not fully considered. To solve this problem, we introduce 3D grids as intermediate representations to regularize unordered point clouds. We therefore propose a novel Gridding Residual Network (GRNet) for point cloud completion. In particular, we devise two novel differentiable"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03761","kind":"arxiv","version":4},"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/2006.03761/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:20:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZThd+H4p9hfN6kbuI6hF9PnzlYVqwEUi61z7eSujolBTzj3VlPg9SaFCcM7N9zS8KPMgcc6UkFeEyMuK4IH3Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:50:54.260887Z"},"content_sha256":"f93dfe9d7fce04c6a0b461f23741d6c68c47a0d21d1fed6ede887ef74cb33c4b","schema_version":"1.0","event_id":"sha256:f93dfe9d7fce04c6a0b461f23741d6c68c47a0d21d1fed6ede887ef74cb33c4b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PNN4X56ULTR5LWLV35AENIFF5Y/bundle.json","state_url":"https://pith.science/pith/PNN4X56ULTR5LWLV35AENIFF5Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PNN4X56ULTR5LWLV35AENIFF5Y/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T04:50:54Z","links":{"resolver":"https://pith.science/pith/PNN4X56ULTR5LWLV35AENIFF5Y","bundle":"https://pith.science/pith/PNN4X56ULTR5LWLV35AENIFF5Y/bundle.json","state":"https://pith.science/pith/PNN4X56ULTR5LWLV35AENIFF5Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PNN4X56ULTR5LWLV35AENIFF5Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:PNN4X56ULTR5LWLV35AENIFF5Y","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":"93be33538fe4d577a52cb98f103f71b97f39dfe26c9e76fa15e31ef972f3c9d2","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T02:46:39Z","title_canon_sha256":"be183569ceea247b2c4c832ef5760ee18dd8b59455062811fd8a7544d7458a39"},"schema_version":"1.0","source":{"id":"2006.03761","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03761","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03761v4","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03761","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"pith_short_12","alias_value":"PNN4X56ULTR5","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"pith_short_16","alias_value":"PNN4X56ULTR5LWLV","created_at":"2026-07-05T01:20:18Z"},{"alias_kind":"pith_short_8","alias_value":"PNN4X56U","created_at":"2026-07-05T01:20:18Z"}],"graph_snapshots":[{"event_id":"sha256:f93dfe9d7fce04c6a0b461f23741d6c68c47a0d21d1fed6ede887ef74cb33c4b","target":"graph","created_at":"2026-07-05T01:20:18Z","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/2006.03761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating the complete 3D point cloud from an incomplete one is a key problem in many vision and robotics applications. Mainstream methods (e.g., PCN and TopNet) use Multi-layer Perceptrons (MLPs) to directly process point clouds, which may cause the loss of details because the structural and context of point clouds are not fully considered. To solve this problem, we introduce 3D grids as intermediate representations to regularize unordered point clouds. We therefore propose a novel Gridding Residual Network (GRNet) for point cloud completion. In particular, we devise two novel differentiable","authors_text":"Haozhe Xie, Hongxun Yao, Jiageng Mao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T02:46:39Z","title":"GRNet: Gridding Residual Network for Dense Point Cloud Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03761","kind":"arxiv","version":4},"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":"sha256:20f29f415947522ca45cb31cd8a8ab2cf24aaa329653f8f550a009a29b27f7e5","target":"record","created_at":"2026-07-05T01:20:18Z","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":"93be33538fe4d577a52cb98f103f71b97f39dfe26c9e76fa15e31ef972f3c9d2","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T02:46:39Z","title_canon_sha256":"be183569ceea247b2c4c832ef5760ee18dd8b59455062811fd8a7544d7458a39"},"schema_version":"1.0","source":{"id":"2006.03761","kind":"arxiv","version":4}},"canonical_sha256":"7b5bcbf7d45ce3d5d975df4046a0a5ee22fb7ce4ca9394023a4987c5311dbb1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b5bcbf7d45ce3d5d975df4046a0a5ee22fb7ce4ca9394023a4987c5311dbb1b","first_computed_at":"2026-07-05T01:20:18.924659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:20:18.924659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IvqjorXY19tl+U4Mr8RX2pC3zV1MlLIaxisEf57yzA63Hdpec6Ypcsj5tGu5UtY/gIGFY0xSbic1ZqSSs2wABA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:20:18.925102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.03761","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:20f29f415947522ca45cb31cd8a8ab2cf24aaa329653f8f550a009a29b27f7e5","sha256:f93dfe9d7fce04c6a0b461f23741d6c68c47a0d21d1fed6ede887ef74cb33c4b"],"state_sha256":"6fd48ded565ed260638c7bf9516c24c167cfe0eb8b045fc2e1e48cf96c81f09d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4WVuS2kwJSqd2lrv0OnovrDUsHLyLQF76NwK5+0csnwJpOXOgL+GnFapwmlGjyFRTcIHJh62jqkO5H4+4h3kDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T04:50:54.265795Z","bundle_sha256":"09300d3045c0280e2647c0dc8dceb699ee7edf08c752b623b65648748fbb2592"}}