{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CNNRPR67IXRZGBS4GJKMGMTUV3","short_pith_number":"pith:CNNRPR67","canonical_record":{"source":{"id":"2202.06028","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-12T10:06:12Z","cross_cats_sorted":[],"title_canon_sha256":"5c9bce0dedd848d98d25e3052c2a15e7721cb7179d7e695a9ed3425d66dfe34d","abstract_canon_sha256":"64c77a836f0011e961f71096550b640209645bc45479c276a9434a8e61ed94d4"},"schema_version":"1.0"},"canonical_sha256":"135b17c7df45e393065c3254c33274aefe8d1f0885a95b7bce33e0c7504dddd0","source":{"kind":"arxiv","id":"2202.06028","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.06028","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"arxiv_version","alias_value":"2202.06028v2","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.06028","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"pith_short_12","alias_value":"CNNRPR67IXRZ","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"pith_short_16","alias_value":"CNNRPR67IXRZGBS4","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"pith_short_8","alias_value":"CNNRPR67","created_at":"2026-07-05T04:51:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CNNRPR67IXRZGBS4GJKMGMTUV3","target":"record","payload":{"canonical_record":{"source":{"id":"2202.06028","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-12T10:06:12Z","cross_cats_sorted":[],"title_canon_sha256":"5c9bce0dedd848d98d25e3052c2a15e7721cb7179d7e695a9ed3425d66dfe34d","abstract_canon_sha256":"64c77a836f0011e961f71096550b640209645bc45479c276a9434a8e61ed94d4"},"schema_version":"1.0"},"canonical_sha256":"135b17c7df45e393065c3254c33274aefe8d1f0885a95b7bce33e0c7504dddd0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:51:55.007389Z","signature_b64":"+Zr/SSF3jqcyH0G5iMYaOYO1w21R/dH1MpMlgaUEcvwgLvOExKVtO48fYnaKCiwy1qS0I2wpj7DVIHeSMqAzCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"135b17c7df45e393065c3254c33274aefe8d1f0885a95b7bce33e0c7504dddd0","last_reissued_at":"2026-07-05T04:51:55.006949Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:51:55.006949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.06028","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:51:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qLsmfe48Lem3T7qKhvi3twtPz+iT18V0fU3SqM488kksYjjBHf2GYc8pWKalCjHV3zUznEUhA2jeINe4n62TCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:05:09.069579Z"},"content_sha256":"ff058308314eb578a3e638c7c78d93b788f3346b5a9e1bb43d125c8c1f894628","schema_version":"1.0","event_id":"sha256:ff058308314eb578a3e638c7c78d93b788f3346b5a9e1bb43d125c8c1f894628"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CNNRPR67IXRZGBS4GJKMGMTUV3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chunyang Fu, Ge Li, Rui Song, Shan Liu, Wei Gao","submitted_at":"2022-02-12T10:06:12Z","abstract_excerpt":"In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution. However, the contexts gathered by the previous voxel-based methods decrease when handling sparse point clouds. To address this problem, we propose a multiple-contexts deep learning framework called OctAttention employing the octree structure, a memory-efficient representation for point clouds. Our approach encodes octree symbol sequences in a lossless way by gathering the information of sibling and ancestor nodes. Expressly, we first represent point clouds with octree to reduce spatial re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.06028","kind":"arxiv","version":2},"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/2202.06028/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":"2026-07-05T04:51:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iaBX3st3qpFFYGDBdWbAfeiSM0dRoLrrGqQewPAH479moRwZXMKy7kLJkg0JfV72hhL3zSTSsmxRfGsRvMonCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:05:09.070741Z"},"content_sha256":"692147c4000fb1acdf423aca2f1394a569393cce3f879b15512226b9c8caaa3a","schema_version":"1.0","event_id":"sha256:692147c4000fb1acdf423aca2f1394a569393cce3f879b15512226b9c8caaa3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CNNRPR67IXRZGBS4GJKMGMTUV3/bundle.json","state_url":"https://pith.science/pith/CNNRPR67IXRZGBS4GJKMGMTUV3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CNNRPR67IXRZGBS4GJKMGMTUV3/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":"2026-08-05T14:05:09Z","links":{"resolver":"https://pith.science/pith/CNNRPR67IXRZGBS4GJKMGMTUV3","bundle":"https://pith.science/pith/CNNRPR67IXRZGBS4GJKMGMTUV3/bundle.json","state":"https://pith.science/pith/CNNRPR67IXRZGBS4GJKMGMTUV3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CNNRPR67IXRZGBS4GJKMGMTUV3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CNNRPR67IXRZGBS4GJKMGMTUV3","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":"64c77a836f0011e961f71096550b640209645bc45479c276a9434a8e61ed94d4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-12T10:06:12Z","title_canon_sha256":"5c9bce0dedd848d98d25e3052c2a15e7721cb7179d7e695a9ed3425d66dfe34d"},"schema_version":"1.0","source":{"id":"2202.06028","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.06028","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"arxiv_version","alias_value":"2202.06028v2","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.06028","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"pith_short_12","alias_value":"CNNRPR67IXRZ","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"pith_short_16","alias_value":"CNNRPR67IXRZGBS4","created_at":"2026-07-05T04:51:55Z"},{"alias_kind":"pith_short_8","alias_value":"CNNRPR67","created_at":"2026-07-05T04:51:55Z"}],"graph_snapshots":[{"event_id":"sha256:692147c4000fb1acdf423aca2f1394a569393cce3f879b15512226b9c8caaa3a","target":"graph","created_at":"2026-07-05T04:51:55Z","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/2202.06028/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution. However, the contexts gathered by the previous voxel-based methods decrease when handling sparse point clouds. To address this problem, we propose a multiple-contexts deep learning framework called OctAttention employing the octree structure, a memory-efficient representation for point clouds. Our approach encodes octree symbol sequences in a lossless way by gathering the information of sibling and ancestor nodes. Expressly, we first represent point clouds with octree to reduce spatial re","authors_text":"Chunyang Fu, Ge Li, Rui Song, Shan Liu, Wei Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-12T10:06:12Z","title":"OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.06028","kind":"arxiv","version":2},"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:ff058308314eb578a3e638c7c78d93b788f3346b5a9e1bb43d125c8c1f894628","target":"record","created_at":"2026-07-05T04:51:55Z","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":"64c77a836f0011e961f71096550b640209645bc45479c276a9434a8e61ed94d4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-12T10:06:12Z","title_canon_sha256":"5c9bce0dedd848d98d25e3052c2a15e7721cb7179d7e695a9ed3425d66dfe34d"},"schema_version":"1.0","source":{"id":"2202.06028","kind":"arxiv","version":2}},"canonical_sha256":"135b17c7df45e393065c3254c33274aefe8d1f0885a95b7bce33e0c7504dddd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"135b17c7df45e393065c3254c33274aefe8d1f0885a95b7bce33e0c7504dddd0","first_computed_at":"2026-07-05T04:51:55.006949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:55.006949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Zr/SSF3jqcyH0G5iMYaOYO1w21R/dH1MpMlgaUEcvwgLvOExKVtO48fYnaKCiwy1qS0I2wpj7DVIHeSMqAzCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:55.007389Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.06028","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff058308314eb578a3e638c7c78d93b788f3346b5a9e1bb43d125c8c1f894628","sha256:692147c4000fb1acdf423aca2f1394a569393cce3f879b15512226b9c8caaa3a"],"state_sha256":"3c1a8983532ce82b6f4310dcf4751762708fe8e8814db6dc05efaa3cdad17626"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2nkxJ2so3FdYW9z/fNEUFnWbuu/h8apyn0RKqgbyfYUYspsB3rgHDCFaMziUBb3cyAF3eZ3hDsOpIaLKMdEiCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T14:05:09.083236Z","bundle_sha256":"769ec7356ce5d83941feba0b8aa1af20a2d32b6f45fe5fefd40d98a9ce391100"}}