{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:KOY4A4SGIPWFEQ6RC76JS7I7N6","short_pith_number":"pith:KOY4A4SG","canonical_record":{"source":{"id":"1810.05396","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T08:18:24Z","cross_cats_sorted":[],"title_canon_sha256":"0f90e572a9622727d51da106cb306e5539568c5519671b4033ba051406aa995d","abstract_canon_sha256":"eef106e38b4ab7507df93f837e975f73b3f088b31d5ad19b167f4eeee14fde57"},"schema_version":"1.0"},"canonical_sha256":"53b1c0724643ec5243d117fc997d1f6f9ac614d32d1140384ba6cc884b1523e4","source":{"kind":"arxiv","id":"1810.05396","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05396","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05396v1","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05396","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"pith_short_12","alias_value":"KOY4A4SGIPWF","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KOY4A4SGIPWFEQ6R","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KOY4A4SG","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:KOY4A4SGIPWFEQ6RC76JS7I7N6","target":"record","payload":{"canonical_record":{"source":{"id":"1810.05396","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T08:18:24Z","cross_cats_sorted":[],"title_canon_sha256":"0f90e572a9622727d51da106cb306e5539568c5519671b4033ba051406aa995d","abstract_canon_sha256":"eef106e38b4ab7507df93f837e975f73b3f088b31d5ad19b167f4eeee14fde57"},"schema_version":"1.0"},"canonical_sha256":"53b1c0724643ec5243d117fc997d1f6f9ac614d32d1140384ba6cc884b1523e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:30.725761Z","signature_b64":"yRb4g4vJZsAPMH8IrZn7IZ6uWOKcR6gHtWDfwasCgYxPYnnEzumrNIQEjQKjnUCtnZBuX2ag3X7J13zoo+0fCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53b1c0724643ec5243d117fc997d1f6f9ac614d32d1140384ba6cc884b1523e4","last_reissued_at":"2026-05-18T00:03:30.725199Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:30.725199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.05396","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SNUGN/9CLluwI7fxu/O5zf4pJGIGsMNJ1kDpMNQSLBTYnYfmFRXqZIth+4izowGUl95CqzeOEVo7cggnfyoQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T20:27:51.043571Z"},"content_sha256":"e6459a0696b1af852073c943b82ac22d3c2abc47d90214e12da3103f2d537e65","schema_version":"1.0","event_id":"sha256:e6459a0696b1af852073c943b82ac22d3c2abc47d90214e12da3103f2d537e65"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:KOY4A4SGIPWFEQ6RC76JS7I7N6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Katashi Nagao, Xu Cao","submitted_at":"2018-10-12T08:18:24Z","abstract_excerpt":"This paper introduces DensePoint, a densely sampled and annotated point cloud dataset containing over 10,000 single objects across 16 categories, by merging different kind of information from two existing datasets. Each point cloud in DensePoint contains 40,000 points, and each point is associated with two sorts of information: RGB value and part annotation. In addition, we propose a method for point cloud colorization by utilizing Generative Adversarial Networks (GANs). The network makes it possible to generate colours for point clouds of single objects by only giving the point cloud itself. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05396","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hCc/yYskPZKLYGjoi2ouCPk8ApbjALOBp72tNInmg2+RzBoJ2/Q7pwgkdBIv2G1sHZHIo0EWNdDeAlWNx32jBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T20:27:51.043918Z"},"content_sha256":"5ec002aa4b6ca98075f2a8cc445e218586e385e173d1f97374f0d59caba5a054","schema_version":"1.0","event_id":"sha256:5ec002aa4b6ca98075f2a8cc445e218586e385e173d1f97374f0d59caba5a054"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6/bundle.json","state_url":"https://pith.science/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6/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":"2026-06-02T20:27:51Z","links":{"resolver":"https://pith.science/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6","bundle":"https://pith.science/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6/bundle.json","state":"https://pith.science/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KOY4A4SGIPWFEQ6RC76JS7I7N6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KOY4A4SGIPWFEQ6RC76JS7I7N6","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":"eef106e38b4ab7507df93f837e975f73b3f088b31d5ad19b167f4eeee14fde57","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T08:18:24Z","title_canon_sha256":"0f90e572a9622727d51da106cb306e5539568c5519671b4033ba051406aa995d"},"schema_version":"1.0","source":{"id":"1810.05396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05396","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05396v1","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05396","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"pith_short_12","alias_value":"KOY4A4SGIPWF","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KOY4A4SGIPWFEQ6R","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KOY4A4SG","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:5ec002aa4b6ca98075f2a8cc445e218586e385e173d1f97374f0d59caba5a054","target":"graph","created_at":"2026-05-18T00:03:30Z","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":"This paper introduces DensePoint, a densely sampled and annotated point cloud dataset containing over 10,000 single objects across 16 categories, by merging different kind of information from two existing datasets. Each point cloud in DensePoint contains 40,000 points, and each point is associated with two sorts of information: RGB value and part annotation. In addition, we propose a method for point cloud colorization by utilizing Generative Adversarial Networks (GANs). The network makes it possible to generate colours for point clouds of single objects by only giving the point cloud itself. ","authors_text":"Katashi Nagao, Xu Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T08:18:24Z","title":"Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05396","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:e6459a0696b1af852073c943b82ac22d3c2abc47d90214e12da3103f2d537e65","target":"record","created_at":"2026-05-18T00:03:30Z","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":"eef106e38b4ab7507df93f837e975f73b3f088b31d5ad19b167f4eeee14fde57","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T08:18:24Z","title_canon_sha256":"0f90e572a9622727d51da106cb306e5539568c5519671b4033ba051406aa995d"},"schema_version":"1.0","source":{"id":"1810.05396","kind":"arxiv","version":1}},"canonical_sha256":"53b1c0724643ec5243d117fc997d1f6f9ac614d32d1140384ba6cc884b1523e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53b1c0724643ec5243d117fc997d1f6f9ac614d32d1140384ba6cc884b1523e4","first_computed_at":"2026-05-18T00:03:30.725199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:30.725199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yRb4g4vJZsAPMH8IrZn7IZ6uWOKcR6gHtWDfwasCgYxPYnnEzumrNIQEjQKjnUCtnZBuX2ag3X7J13zoo+0fCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:30.725761Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.05396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6459a0696b1af852073c943b82ac22d3c2abc47d90214e12da3103f2d537e65","sha256:5ec002aa4b6ca98075f2a8cc445e218586e385e173d1f97374f0d59caba5a054"],"state_sha256":"954bfb35e1898bce3d7e933fe4eba9ec790b61387796bb067baed262e83a01df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sjanpUCfFvDGoDwxydL8bHIP0glqFbNZE+ZpVvdQ1Ccb9LrWXE3s/a2PtcpHIkHGwBvxgYxE1zIxQLqcak0+BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T20:27:51.045920Z","bundle_sha256":"21ceeab3e4dbd0559990a226d9df09fe3c1fa79d8e450d79d201f270e1ca7a5b"}}