{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:D6P377UZJ5T2665CPO753UJ4IM","short_pith_number":"pith:D6P377UZ","canonical_record":{"source":{"id":"2204.13952","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-29T08:57:03Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"f32bdadfd8a82d6e0666e4b2450e0069decd6403b31aba4ac3f4fd03a298aa48","abstract_canon_sha256":"e2c1e7cb4ffc7288a59fcea77a64ad18cd5f274efaf445ff71030b09f5d54b7c"},"schema_version":"1.0"},"canonical_sha256":"1f9fbffe994f67af7ba27bbfddd13c432cc235ae37b6d7e1397b67c1dae58396","source":{"kind":"arxiv","id":"2204.13952","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.13952","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"arxiv_version","alias_value":"2204.13952v1","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.13952","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"pith_short_12","alias_value":"D6P377UZJ5T2","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"pith_short_16","alias_value":"D6P377UZJ5T2665C","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"pith_short_8","alias_value":"D6P377UZ","created_at":"2026-07-05T04:18:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:D6P377UZJ5T2665CPO753UJ4IM","target":"record","payload":{"canonical_record":{"source":{"id":"2204.13952","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-29T08:57:03Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"f32bdadfd8a82d6e0666e4b2450e0069decd6403b31aba4ac3f4fd03a298aa48","abstract_canon_sha256":"e2c1e7cb4ffc7288a59fcea77a64ad18cd5f274efaf445ff71030b09f5d54b7c"},"schema_version":"1.0"},"canonical_sha256":"1f9fbffe994f67af7ba27bbfddd13c432cc235ae37b6d7e1397b67c1dae58396","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:18:55.422190Z","signature_b64":"jYzzjuS2gRGaLDsVOLkwSaZNe6fsInYEXpMPJUm2C22fjiVo/AwM/Q5ER0at60Vjs0l0BdNdvQbgSzX+mGmKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f9fbffe994f67af7ba27bbfddd13c432cc235ae37b6d7e1397b67c1dae58396","last_reissued_at":"2026-07-05T04:18:55.421839Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:18:55.421839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.13952","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":"2026-07-05T04:18:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1HG3pm2Y9amcyiRt+K/nxSvYh0vQJyWD8w4Ey7fQsBESOUVAiDal+fX4LNXDgJ6DcN51vn8m0SIiOyOK/kbdBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:10:37.448208Z"},"content_sha256":"7f94e3e90b262eceb9f7a7cee43edaa2d738f0dcd27a2d53e996bddb860700e4","schema_version":"1.0","event_id":"sha256:7f94e3e90b262eceb9f7a7cee43edaa2d738f0dcd27a2d53e996bddb860700e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:D6P377UZJ5T2665CPO753UJ4IM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Geometry Post-Processing for Decompressed Point Clouds","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Dingquan Li, Ge Li, Thomas H. Li, Wei Gao, Xiaoqing Fan, Yurui Ren","submitted_at":"2022-04-29T08:57:03Z","abstract_excerpt":"Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds due to quantization. In this paper, we propose a novel learning-based post-processing method to enhance the decompressed point clouds. Specifically, a voxelized point cloud is first divided into small cubes. Then, a 3D convolutional network is proposed to predict the occupancy probability for each location of a cube. We leverage both local and global contexts by generating multi-scale probabilities. These probabilitie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.13952","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.13952/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":"2026-07-05T04:18:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+j5CiPpq97u+ZJWF/hIIGSaPkIx7owRs0pLluU9FRc1U+x5gSB9sgqgEDEYE/PdY70Oeh9Qb9kmbjNNynoZWCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:10:37.448699Z"},"content_sha256":"03194b0056e86a985bac2b6ab251b5e72a2a639c083e396522fe4a508b9279eb","schema_version":"1.0","event_id":"sha256:03194b0056e86a985bac2b6ab251b5e72a2a639c083e396522fe4a508b9279eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D6P377UZJ5T2665CPO753UJ4IM/bundle.json","state_url":"https://pith.science/pith/D6P377UZJ5T2665CPO753UJ4IM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D6P377UZJ5T2665CPO753UJ4IM/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":"2026-08-07T08:10:37Z","links":{"resolver":"https://pith.science/pith/D6P377UZJ5T2665CPO753UJ4IM","bundle":"https://pith.science/pith/D6P377UZJ5T2665CPO753UJ4IM/bundle.json","state":"https://pith.science/pith/D6P377UZJ5T2665CPO753UJ4IM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D6P377UZJ5T2665CPO753UJ4IM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:D6P377UZJ5T2665CPO753UJ4IM","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":"e2c1e7cb4ffc7288a59fcea77a64ad18cd5f274efaf445ff71030b09f5d54b7c","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-29T08:57:03Z","title_canon_sha256":"f32bdadfd8a82d6e0666e4b2450e0069decd6403b31aba4ac3f4fd03a298aa48"},"schema_version":"1.0","source":{"id":"2204.13952","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.13952","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"arxiv_version","alias_value":"2204.13952v1","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.13952","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"pith_short_12","alias_value":"D6P377UZJ5T2","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"pith_short_16","alias_value":"D6P377UZJ5T2665C","created_at":"2026-07-05T04:18:55Z"},{"alias_kind":"pith_short_8","alias_value":"D6P377UZ","created_at":"2026-07-05T04:18:55Z"}],"graph_snapshots":[{"event_id":"sha256:03194b0056e86a985bac2b6ab251b5e72a2a639c083e396522fe4a508b9279eb","target":"graph","created_at":"2026-07-05T04:18:55Z","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/2204.13952/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds due to quantization. In this paper, we propose a novel learning-based post-processing method to enhance the decompressed point clouds. Specifically, a voxelized point cloud is first divided into small cubes. Then, a 3D convolutional network is proposed to predict the occupancy probability for each location of a cube. We leverage both local and global contexts by generating multi-scale probabilities. These probabilitie","authors_text":"Dingquan Li, Ge Li, Thomas H. Li, Wei Gao, Xiaoqing Fan, Yurui Ren","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-29T08:57:03Z","title":"Deep Geometry Post-Processing for Decompressed Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.13952","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":"sha256:7f94e3e90b262eceb9f7a7cee43edaa2d738f0dcd27a2d53e996bddb860700e4","target":"record","created_at":"2026-07-05T04:18:55Z","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":"e2c1e7cb4ffc7288a59fcea77a64ad18cd5f274efaf445ff71030b09f5d54b7c","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-29T08:57:03Z","title_canon_sha256":"f32bdadfd8a82d6e0666e4b2450e0069decd6403b31aba4ac3f4fd03a298aa48"},"schema_version":"1.0","source":{"id":"2204.13952","kind":"arxiv","version":1}},"canonical_sha256":"1f9fbffe994f67af7ba27bbfddd13c432cc235ae37b6d7e1397b67c1dae58396","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f9fbffe994f67af7ba27bbfddd13c432cc235ae37b6d7e1397b67c1dae58396","first_computed_at":"2026-07-05T04:18:55.421839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:18:55.421839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jYzzjuS2gRGaLDsVOLkwSaZNe6fsInYEXpMPJUm2C22fjiVo/AwM/Q5ER0at60Vjs0l0BdNdvQbgSzX+mGmKBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:18:55.422190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.13952","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f94e3e90b262eceb9f7a7cee43edaa2d738f0dcd27a2d53e996bddb860700e4","sha256:03194b0056e86a985bac2b6ab251b5e72a2a639c083e396522fe4a508b9279eb"],"state_sha256":"daf5cff60ca4097a3927e5881cfd945fc1ef571d5d0db29ea7942ef3002caccc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E0tLNqM1XQd9RQ4Yz/vx8Nm3egqmt6tX6j3o4el6tPrAoPkemSSYuVafM3UMg/xDSSIerVjuvp6S7TcZmwBbBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:10:37.452379Z","bundle_sha256":"831a09b001e67a5f3338f156265f07d1baccd54a258eeda9bd85fc5322da42e9"}}