{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:K3DM522TXE7CSIBH5XOYLOBEHL","short_pith_number":"pith:K3DM522T","canonical_record":{"source":{"id":"2105.02158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T16:12:48Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e3beff5a2ddf480568e07319589143a3ba47c98920f16fb937d50b8893821945","abstract_canon_sha256":"36455b148c092f2337a856de5fa9fb9ecd54c677552412ba7357a97dd07523e7"},"schema_version":"1.0"},"canonical_sha256":"56c6ceeb53b93e292027eddd85b8243adfbb3eb7db9b94acfb400bf35c468ec3","source":{"kind":"arxiv","id":"2105.02158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.02158","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2105.02158v1","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.02158","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"K3DM522TXE7C","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"K3DM522TXE7CSIBH","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"K3DM522T","created_at":"2026-07-05T02:37:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:K3DM522TXE7CSIBH5XOYLOBEHL","target":"record","payload":{"canonical_record":{"source":{"id":"2105.02158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T16:12:48Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e3beff5a2ddf480568e07319589143a3ba47c98920f16fb937d50b8893821945","abstract_canon_sha256":"36455b148c092f2337a856de5fa9fb9ecd54c677552412ba7357a97dd07523e7"},"schema_version":"1.0"},"canonical_sha256":"56c6ceeb53b93e292027eddd85b8243adfbb3eb7db9b94acfb400bf35c468ec3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:37:53.383144Z","signature_b64":"BzrHzFcG38Br3MfaODSvKuJnIklMHFPW6uJS2iGbY1tlET+yqmWvEUzG8scx6wMs3pDsb3P/NumXxGAjQECdCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56c6ceeb53b93e292027eddd85b8243adfbb3eb7db9b94acfb400bf35c468ec3","last_reissued_at":"2026-07-05T02:37:53.382753Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:37:53.382753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.02158","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":"2026-07-05T02:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ETaUF1qPdFAUGAVPmWv+3+YhJP5c48UyXUHtY0FXgIld5CzZLNUP3jJG0y+9pFthNKZFlN7VxSIL1L8ZaeLPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:29:27.255364Z"},"content_sha256":"9b4d17040c610b389b957a90e6bd2a1c35a73751557d4eb89a4775c18d0ba12d","schema_version":"1.0","event_id":"sha256:9b4d17040c610b389b957a90e6bd2a1c35a73751557d4eb89a4775c18d0ba12d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:K3DM522TXE7CSIBH5XOYLOBEHL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VoxelContext-Net: An Octree based Framework for Point Cloud Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Dong Xu, Guo Lu, Zizheng Que","submitted_at":"2021-05-05T16:12:48Z","abstract_excerpt":"In this paper, we propose a two-stage deep learning framework called VoxelContext-Net for both static and dynamic point cloud compression. Taking advantages of both octree based methods and voxel based schemes, our approach employs the voxel context to compress the octree structured data. Specifically, we first extract the local voxel representation that encodes the spatial neighbouring context information for each node in the constructed octree. Then, in the entropy coding stage, we propose a voxel context based deep entropy model to compress the symbols of non-leaf nodes in a lossless way. F"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.02158","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/2105.02158/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":"2026-07-05T02:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MhErhvUW52Q7Eq453Koheg+UI6TOKZmVh8ozAUjR+w9g7BB+Tk+oTi2Q/5epyEEPISk3Tw7jSYEw1y7snVGJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:29:27.256450Z"},"content_sha256":"4deb7f0ed78e7d866690443be45f441173f874769435473a33a6d1d2c8717b92","schema_version":"1.0","event_id":"sha256:4deb7f0ed78e7d866690443be45f441173f874769435473a33a6d1d2c8717b92"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K3DM522TXE7CSIBH5XOYLOBEHL/bundle.json","state_url":"https://pith.science/pith/K3DM522TXE7CSIBH5XOYLOBEHL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K3DM522TXE7CSIBH5XOYLOBEHL/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":"2026-08-05T11:29:27Z","links":{"resolver":"https://pith.science/pith/K3DM522TXE7CSIBH5XOYLOBEHL","bundle":"https://pith.science/pith/K3DM522TXE7CSIBH5XOYLOBEHL/bundle.json","state":"https://pith.science/pith/K3DM522TXE7CSIBH5XOYLOBEHL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K3DM522TXE7CSIBH5XOYLOBEHL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:K3DM522TXE7CSIBH5XOYLOBEHL","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":"36455b148c092f2337a856de5fa9fb9ecd54c677552412ba7357a97dd07523e7","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T16:12:48Z","title_canon_sha256":"e3beff5a2ddf480568e07319589143a3ba47c98920f16fb937d50b8893821945"},"schema_version":"1.0","source":{"id":"2105.02158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.02158","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2105.02158v1","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.02158","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"K3DM522TXE7C","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"K3DM522TXE7CSIBH","created_at":"2026-07-05T02:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"K3DM522T","created_at":"2026-07-05T02:37:53Z"}],"graph_snapshots":[{"event_id":"sha256:4deb7f0ed78e7d866690443be45f441173f874769435473a33a6d1d2c8717b92","target":"graph","created_at":"2026-07-05T02:37:53Z","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/2105.02158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a two-stage deep learning framework called VoxelContext-Net for both static and dynamic point cloud compression. Taking advantages of both octree based methods and voxel based schemes, our approach employs the voxel context to compress the octree structured data. Specifically, we first extract the local voxel representation that encodes the spatial neighbouring context information for each node in the constructed octree. Then, in the entropy coding stage, we propose a voxel context based deep entropy model to compress the symbols of non-leaf nodes in a lossless way. F","authors_text":"Dong Xu, Guo Lu, Zizheng Que","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T16:12:48Z","title":"VoxelContext-Net: An Octree based Framework for Point Cloud Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.02158","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":"sha256:9b4d17040c610b389b957a90e6bd2a1c35a73751557d4eb89a4775c18d0ba12d","target":"record","created_at":"2026-07-05T02:37:53Z","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":"36455b148c092f2337a856de5fa9fb9ecd54c677552412ba7357a97dd07523e7","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T16:12:48Z","title_canon_sha256":"e3beff5a2ddf480568e07319589143a3ba47c98920f16fb937d50b8893821945"},"schema_version":"1.0","source":{"id":"2105.02158","kind":"arxiv","version":1}},"canonical_sha256":"56c6ceeb53b93e292027eddd85b8243adfbb3eb7db9b94acfb400bf35c468ec3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56c6ceeb53b93e292027eddd85b8243adfbb3eb7db9b94acfb400bf35c468ec3","first_computed_at":"2026-07-05T02:37:53.382753Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:37:53.382753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BzrHzFcG38Br3MfaODSvKuJnIklMHFPW6uJS2iGbY1tlET+yqmWvEUzG8scx6wMs3pDsb3P/NumXxGAjQECdCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:37:53.383144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.02158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b4d17040c610b389b957a90e6bd2a1c35a73751557d4eb89a4775c18d0ba12d","sha256:4deb7f0ed78e7d866690443be45f441173f874769435473a33a6d1d2c8717b92"],"state_sha256":"f54f6af2049e8980c5701382d57ed1eaf4235d7466618b5a6b5f70f0df1afa62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ujeqe6ZJfohjnWtYnOD5ei3zYVf40iIHpfdM6IuvXzC0WfVBXemzlq+/fWmRKPsA3JKj6ljnqq3rIk1kjy5kCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:29:27.262930Z","bundle_sha256":"49b2b6445b1fb9ef8b33b2478e1e764c506b5907296ea7330a4c376ad0a396fb"}}