{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:NG4DZWFMFTGWFPRKLIMJOXFF2G","short_pith_number":"pith:NG4DZWFM","canonical_record":{"source":{"id":"2012.09688","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-17T15:55:17Z","cross_cats_sorted":[],"title_canon_sha256":"0bcc4774aa05fda73170487691245f5112c71e9ae26ac89756e4fa6d9fd09eb5","abstract_canon_sha256":"6676b024434d3b4409498a77af5699574e6ef9d38e9ac3d4c8657859e32d19f5"},"schema_version":"1.0"},"canonical_sha256":"69b83cd8ac2ccd62be2a5a18975ca5d19c6b6488aae44f1aff004352da98ecbf","source":{"kind":"arxiv","id":"2012.09688","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.09688","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"arxiv_version","alias_value":"2012.09688v4","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.09688","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"pith_short_12","alias_value":"NG4DZWFMFTGW","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"pith_short_16","alias_value":"NG4DZWFMFTGWFPRK","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"pith_short_8","alias_value":"NG4DZWFM","created_at":"2026-07-05T02:46:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:NG4DZWFMFTGWFPRKLIMJOXFF2G","target":"record","payload":{"canonical_record":{"source":{"id":"2012.09688","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-17T15:55:17Z","cross_cats_sorted":[],"title_canon_sha256":"0bcc4774aa05fda73170487691245f5112c71e9ae26ac89756e4fa6d9fd09eb5","abstract_canon_sha256":"6676b024434d3b4409498a77af5699574e6ef9d38e9ac3d4c8657859e32d19f5"},"schema_version":"1.0"},"canonical_sha256":"69b83cd8ac2ccd62be2a5a18975ca5d19c6b6488aae44f1aff004352da98ecbf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:46:43.422171Z","signature_b64":"6GprwAExRykHQEBhByrOZ4esT2ejfhsL83/sqGLQzskweEF5CrZ3NkS2tffLw90I/w5olvR0/nbkhGFV/2bUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69b83cd8ac2ccd62be2a5a18975ca5d19c6b6488aae44f1aff004352da98ecbf","last_reissued_at":"2026-07-05T02:46:43.421681Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:46:43.421681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.09688","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":"2026-07-05T02:46:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LQs8stQzqoMZ9HB/KC0tANXWFoSFvNvjRJguPM6IuqA9EZqMtLZHCCVOqBO9pZwoq9MclhYwKcRs3lwe4fA9Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T18:00:12.962488Z"},"content_sha256":"2e451cbff2181ef024db7be6a16b0cff28f282501bfbe8e2011f70e4e2ecf93a","schema_version":"1.0","event_id":"sha256:2e451cbff2181ef024db7be6a16b0cff28f282501bfbe8e2011f70e4e2ecf93a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:NG4DZWFMFTGWFPRKLIMJOXFF2G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PCT: Point cloud transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jun-Xiong Cai, Meng-Hao Guo, Ralph R. Martin, Shi-Min Hu, Tai-Jiang Mu, Zheng-Ning Liu","submitted_at":"2020-12-17T15:55:17Z","abstract_excerpt":"The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer(PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language processing and displays great potential in image processing. It is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning. To better capture local context within the point cloud, we enhance input embedding with the support of farthest point "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.09688","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/2012.09688/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":"2026-07-05T02:46:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bs8LmhsV9RsYFkNK08noyplXk15IFFRb1vne9Sa6rgJTLYJOxfGi/wP4R+NRjC2ty7WlTd8fF3wWP+sYsie3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T18:00:12.963079Z"},"content_sha256":"bf24588b9996834a41579a7b775dffdb19341c03f61d2680b4e783dbad5af7e3","schema_version":"1.0","event_id":"sha256:bf24588b9996834a41579a7b775dffdb19341c03f61d2680b4e783dbad5af7e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G/bundle.json","state_url":"https://pith.science/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G/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":"2026-08-11T18:00:12Z","links":{"resolver":"https://pith.science/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G","bundle":"https://pith.science/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G/bundle.json","state":"https://pith.science/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NG4DZWFMFTGWFPRKLIMJOXFF2G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:NG4DZWFMFTGWFPRKLIMJOXFF2G","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":"6676b024434d3b4409498a77af5699574e6ef9d38e9ac3d4c8657859e32d19f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-17T15:55:17Z","title_canon_sha256":"0bcc4774aa05fda73170487691245f5112c71e9ae26ac89756e4fa6d9fd09eb5"},"schema_version":"1.0","source":{"id":"2012.09688","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.09688","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"arxiv_version","alias_value":"2012.09688v4","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.09688","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"pith_short_12","alias_value":"NG4DZWFMFTGW","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"pith_short_16","alias_value":"NG4DZWFMFTGWFPRK","created_at":"2026-07-05T02:46:43Z"},{"alias_kind":"pith_short_8","alias_value":"NG4DZWFM","created_at":"2026-07-05T02:46:43Z"}],"graph_snapshots":[{"event_id":"sha256:bf24588b9996834a41579a7b775dffdb19341c03f61d2680b4e783dbad5af7e3","target":"graph","created_at":"2026-07-05T02:46:43Z","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/2012.09688/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer(PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language processing and displays great potential in image processing. It is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning. To better capture local context within the point cloud, we enhance input embedding with the support of farthest point ","authors_text":"Jun-Xiong Cai, Meng-Hao Guo, Ralph R. Martin, Shi-Min Hu, Tai-Jiang Mu, Zheng-Ning Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-17T15:55:17Z","title":"PCT: Point cloud transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.09688","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":"sha256:2e451cbff2181ef024db7be6a16b0cff28f282501bfbe8e2011f70e4e2ecf93a","target":"record","created_at":"2026-07-05T02:46:43Z","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":"6676b024434d3b4409498a77af5699574e6ef9d38e9ac3d4c8657859e32d19f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-17T15:55:17Z","title_canon_sha256":"0bcc4774aa05fda73170487691245f5112c71e9ae26ac89756e4fa6d9fd09eb5"},"schema_version":"1.0","source":{"id":"2012.09688","kind":"arxiv","version":4}},"canonical_sha256":"69b83cd8ac2ccd62be2a5a18975ca5d19c6b6488aae44f1aff004352da98ecbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69b83cd8ac2ccd62be2a5a18975ca5d19c6b6488aae44f1aff004352da98ecbf","first_computed_at":"2026-07-05T02:46:43.421681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:46:43.421681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6GprwAExRykHQEBhByrOZ4esT2ejfhsL83/sqGLQzskweEF5CrZ3NkS2tffLw90I/w5olvR0/nbkhGFV/2bUDg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:46:43.422171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.09688","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e451cbff2181ef024db7be6a16b0cff28f282501bfbe8e2011f70e4e2ecf93a","sha256:bf24588b9996834a41579a7b775dffdb19341c03f61d2680b4e783dbad5af7e3"],"state_sha256":"d44de7d9f289fcf78ea65b3c0ef3af0a95432eac760f8ece7beefe4c008e640d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tiqf4gebB29SO0BVz0kpw1HOtRxfAll8JWiEKzGbWwnVVb7QkNvHien2Y9wUps6MHYm/Dh21u9VGuN/b8U+MAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T18:00:12.967211Z","bundle_sha256":"b18065c7b6fa61b1e27ccf9277c6496f66b58e9a9f58a94e4e997104bd1fbfed"}}