{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:5XCDKWA3VHFRYAD757PABKDL6I","short_pith_number":"pith:5XCDKWA3","canonical_record":{"source":{"id":"1908.01970","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-06T05:59:09Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"3465fa889ef0614d00411b08c239c73a4487a2994ed6c7aa7d3c1c2251ef24a1","abstract_canon_sha256":"b076e95558750589a4fd102927a05a833c04ad9c5a90d7b2e2cb860ddd1f6311"},"schema_version":"1.0"},"canonical_sha256":"edc435581ba9cb1c007fefde00a86bf21a866f723b5643a507a9b128fa0fdd3b","source":{"kind":"arxiv","id":"1908.01970","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.01970","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"arxiv_version","alias_value":"1908.01970v4","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01970","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"pith_short_12","alias_value":"5XCDKWA3VHFR","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"pith_short_16","alias_value":"5XCDKWA3VHFRYAD7","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"pith_short_8","alias_value":"5XCDKWA3","created_at":"2026-07-05T01:25:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:5XCDKWA3VHFRYAD757PABKDL6I","target":"record","payload":{"canonical_record":{"source":{"id":"1908.01970","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-06T05:59:09Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"3465fa889ef0614d00411b08c239c73a4487a2994ed6c7aa7d3c1c2251ef24a1","abstract_canon_sha256":"b076e95558750589a4fd102927a05a833c04ad9c5a90d7b2e2cb860ddd1f6311"},"schema_version":"1.0"},"canonical_sha256":"edc435581ba9cb1c007fefde00a86bf21a866f723b5643a507a9b128fa0fdd3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:25:51.961471Z","signature_b64":"Jb9beOFMoO8/Gw6+nQ4MygajiIxFilMOlhiaYTE1JZ8aCtm6KJBm0X9RWDLsDrHcvJK0xR1Mou/268mZwUMbCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"edc435581ba9cb1c007fefde00a86bf21a866f723b5643a507a9b128fa0fdd3b","last_reissued_at":"2026-07-05T01:25:51.960896Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:25:51.960896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.01970","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":"2026-07-05T01:25:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JBW+bV5PHfHUPQhz0fF2Lehe0OTC4E5uyiSYd0BbobMzCSpWSitl1M7tnAwgBp7dhPUOyNMevbU0UBFH/hFQBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T06:30:10.866685Z"},"content_sha256":"5aa617f26df5ba82c71633e5d6ec347d43b3b23ba4bb5b4963b50abc02603bb3","schema_version":"1.0","event_id":"sha256:5aa617f26df5ba82c71633e5d6ec347d43b3b23ba4bb5b4963b50abc02603bb3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:5XCDKWA3VHFRYAD757PABKDL6I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.MM","authors_text":"Shanshe Wang, Shiqi Wang, Siwei Ma, Wei Hu, Wen Gao, Xinfeng Zhang, Yiqun Xu, Zongming Guo","submitted_at":"2019-08-06T05:59:09Z","abstract_excerpt":"As 3D scanning devices and depth sensors advance, dynamic point clouds have attracted increasing attention as a format for 3D objects in motion, with applications in various fields such as immersive telepresence, navigation for autonomous driving and gaming. Nevertheless, the tremendous amount of data in dynamic point clouds significantly burden transmission and storage. To this end, we propose a complete compression framework for attributes of 3D dynamic point clouds, focusing on optimal inter-coding. Firstly, we derive the optimal inter-prediction and predictive transform coding assuming the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01970","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/1908.01970/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":"2026-07-05T01:25:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HSFLd+3nrcArfk/sSFhUI4qN69pAveSi12GBMVTV496VGlqqb25KC3sCb/ugbSY+oDStBtJikwRgu84i2daWAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T06:30:10.867064Z"},"content_sha256":"1c8f041ad23174ec5ee3e67a5358dbf0dfa6747c5d698aeb5127378ec0bc7af5","schema_version":"1.0","event_id":"sha256:1c8f041ad23174ec5ee3e67a5358dbf0dfa6747c5d698aeb5127378ec0bc7af5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5XCDKWA3VHFRYAD757PABKDL6I/bundle.json","state_url":"https://pith.science/pith/5XCDKWA3VHFRYAD757PABKDL6I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5XCDKWA3VHFRYAD757PABKDL6I/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":"2026-07-21T06:30:10Z","links":{"resolver":"https://pith.science/pith/5XCDKWA3VHFRYAD757PABKDL6I","bundle":"https://pith.science/pith/5XCDKWA3VHFRYAD757PABKDL6I/bundle.json","state":"https://pith.science/pith/5XCDKWA3VHFRYAD757PABKDL6I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5XCDKWA3VHFRYAD757PABKDL6I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5XCDKWA3VHFRYAD757PABKDL6I","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":"b076e95558750589a4fd102927a05a833c04ad9c5a90d7b2e2cb860ddd1f6311","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-06T05:59:09Z","title_canon_sha256":"3465fa889ef0614d00411b08c239c73a4487a2994ed6c7aa7d3c1c2251ef24a1"},"schema_version":"1.0","source":{"id":"1908.01970","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.01970","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"arxiv_version","alias_value":"1908.01970v4","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01970","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"pith_short_12","alias_value":"5XCDKWA3VHFR","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"pith_short_16","alias_value":"5XCDKWA3VHFRYAD7","created_at":"2026-07-05T01:25:51Z"},{"alias_kind":"pith_short_8","alias_value":"5XCDKWA3","created_at":"2026-07-05T01:25:51Z"}],"graph_snapshots":[{"event_id":"sha256:1c8f041ad23174ec5ee3e67a5358dbf0dfa6747c5d698aeb5127378ec0bc7af5","target":"graph","created_at":"2026-07-05T01:25:51Z","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/1908.01970/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As 3D scanning devices and depth sensors advance, dynamic point clouds have attracted increasing attention as a format for 3D objects in motion, with applications in various fields such as immersive telepresence, navigation for autonomous driving and gaming. Nevertheless, the tremendous amount of data in dynamic point clouds significantly burden transmission and storage. To this end, we propose a complete compression framework for attributes of 3D dynamic point clouds, focusing on optimal inter-coding. Firstly, we derive the optimal inter-prediction and predictive transform coding assuming the","authors_text":"Shanshe Wang, Shiqi Wang, Siwei Ma, Wei Hu, Wen Gao, Xinfeng Zhang, Yiqun Xu, Zongming Guo","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-06T05:59:09Z","title":"Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01970","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":"sha256:5aa617f26df5ba82c71633e5d6ec347d43b3b23ba4bb5b4963b50abc02603bb3","target":"record","created_at":"2026-07-05T01:25:51Z","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":"b076e95558750589a4fd102927a05a833c04ad9c5a90d7b2e2cb860ddd1f6311","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-06T05:59:09Z","title_canon_sha256":"3465fa889ef0614d00411b08c239c73a4487a2994ed6c7aa7d3c1c2251ef24a1"},"schema_version":"1.0","source":{"id":"1908.01970","kind":"arxiv","version":4}},"canonical_sha256":"edc435581ba9cb1c007fefde00a86bf21a866f723b5643a507a9b128fa0fdd3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"edc435581ba9cb1c007fefde00a86bf21a866f723b5643a507a9b128fa0fdd3b","first_computed_at":"2026-07-05T01:25:51.960896Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:25:51.960896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jb9beOFMoO8/Gw6+nQ4MygajiIxFilMOlhiaYTE1JZ8aCtm6KJBm0X9RWDLsDrHcvJK0xR1Mou/268mZwUMbCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:25:51.961471Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.01970","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5aa617f26df5ba82c71633e5d6ec347d43b3b23ba4bb5b4963b50abc02603bb3","sha256:1c8f041ad23174ec5ee3e67a5358dbf0dfa6747c5d698aeb5127378ec0bc7af5"],"state_sha256":"92607a341ab6f72f1f33ed4256c9aac1b8750b23f0f708dfa354ac2219818821"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9uGnkfIeGpm9gUv+DR4gMunf8XQ3Y2PysW6wVRej9kcPhsYGNN8mBd6x4hmIJMTQtXVu8Ej2KYBNbaepy1XbAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-21T06:30:10.871437Z","bundle_sha256":"712fd87406b133f6c018a415a3993ee8dfc3162ab99295684afd205c464cfd1c"}}