{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:475XKJVVJH3W45PB73WDOIHECJ","short_pith_number":"pith:475XKJVV","canonical_record":{"source":{"id":"2209.00407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T12:32:40Z","cross_cats_sorted":[],"title_canon_sha256":"281051710e877880295e76c766f54803c3789f46d8ca9bb06548685961068640","abstract_canon_sha256":"d96ed828e5464b6f38aeba2b67dd8afb002485ddc9cfa1c3edc62b098db047ac"},"schema_version":"1.0"},"canonical_sha256":"e7fb7526b549f76e75e1feec3720e41253562d9114e0d003b31709d6bd6d6f17","source":{"kind":"arxiv","id":"2209.00407","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00407","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00407v1","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00407","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"pith_short_12","alias_value":"475XKJVVJH3W","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"pith_short_16","alias_value":"475XKJVVJH3W45PB","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"pith_short_8","alias_value":"475XKJVV","created_at":"2026-07-05T04:53:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:475XKJVVJH3W45PB73WDOIHECJ","target":"record","payload":{"canonical_record":{"source":{"id":"2209.00407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T12:32:40Z","cross_cats_sorted":[],"title_canon_sha256":"281051710e877880295e76c766f54803c3789f46d8ca9bb06548685961068640","abstract_canon_sha256":"d96ed828e5464b6f38aeba2b67dd8afb002485ddc9cfa1c3edc62b098db047ac"},"schema_version":"1.0"},"canonical_sha256":"e7fb7526b549f76e75e1feec3720e41253562d9114e0d003b31709d6bd6d6f17","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:53:49.170819Z","signature_b64":"6irT61dEaJPUKH1mVkKBLBic9Fjk4r/9Y90Bt4qN31/yYqGSau5CZIfe/m6pG+vHyA+lSCMQ5+VQpjtviL4OCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7fb7526b549f76e75e1feec3720e41253562d9114e0d003b31709d6bd6d6f17","last_reissued_at":"2026-07-05T04:53:49.170422Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:53:49.170422Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.00407","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":"2026-07-05T04:53:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+Q+WW7B2qC2OXZBa48cUG22Fkg/lDfEGdE7bJ9n/Bs5rP+gQzG1O6OWMrV+mO9K8QKHOLh4Pc4QkUBFGpxHXCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:40:46.305738Z"},"content_sha256":"a15960ea890064b09c1760f98327b4ecd10e8060984bbb04a5fc4c5978c63e85","schema_version":"1.0","event_id":"sha256:a15960ea890064b09c1760f98327b4ecd10e8060984bbb04a5fc4c5978c63e85"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:475XKJVVJH3W45PB73WDOIHECJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jungong Han, Tao Mei, Wu Liu, Xiaodong Chen, Xinchen Liu, Yongdong Zhang","submitted_at":"2022-09-01T12:32:40Z","abstract_excerpt":"Recognizing human actions from point cloud videos has attracted tremendous attention from both academia and industry due to its wide applications like automatic driving, robotics, and so on. However, current methods for point cloud action recognition usually require a huge amount of data with manual annotations and a complex backbone network with high computation costs, which makes it impractical for real-world applications. Therefore, this paper considers the task of semi-supervised point cloud action recognition. We propose a Masked Pseudo-Labeling autoEncoder (\\textbf{MAPLE}) framework to l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00407","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/2209.00407/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":"2026-07-05T04:53:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OWUfsx87mrrId31Moo+pBQpPDcMQpHGDUGUIAHS9OfPP/JCdef/UvPjgjG1L/CRbvFvfjBc5opt0Wrt7Zo3jBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:40:46.306529Z"},"content_sha256":"673d6ea1ca45b06cf95be77964c9d19d04829f18d806b247813f2dca9af8dadf","schema_version":"1.0","event_id":"sha256:673d6ea1ca45b06cf95be77964c9d19d04829f18d806b247813f2dca9af8dadf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/475XKJVVJH3W45PB73WDOIHECJ/bundle.json","state_url":"https://pith.science/pith/475XKJVVJH3W45PB73WDOIHECJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/475XKJVVJH3W45PB73WDOIHECJ/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":"2026-08-03T15:40:46Z","links":{"resolver":"https://pith.science/pith/475XKJVVJH3W45PB73WDOIHECJ","bundle":"https://pith.science/pith/475XKJVVJH3W45PB73WDOIHECJ/bundle.json","state":"https://pith.science/pith/475XKJVVJH3W45PB73WDOIHECJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/475XKJVVJH3W45PB73WDOIHECJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:475XKJVVJH3W45PB73WDOIHECJ","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":"d96ed828e5464b6f38aeba2b67dd8afb002485ddc9cfa1c3edc62b098db047ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T12:32:40Z","title_canon_sha256":"281051710e877880295e76c766f54803c3789f46d8ca9bb06548685961068640"},"schema_version":"1.0","source":{"id":"2209.00407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00407","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00407v1","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00407","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"pith_short_12","alias_value":"475XKJVVJH3W","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"pith_short_16","alias_value":"475XKJVVJH3W45PB","created_at":"2026-07-05T04:53:49Z"},{"alias_kind":"pith_short_8","alias_value":"475XKJVV","created_at":"2026-07-05T04:53:49Z"}],"graph_snapshots":[{"event_id":"sha256:673d6ea1ca45b06cf95be77964c9d19d04829f18d806b247813f2dca9af8dadf","target":"graph","created_at":"2026-07-05T04:53:49Z","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/2209.00407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recognizing human actions from point cloud videos has attracted tremendous attention from both academia and industry due to its wide applications like automatic driving, robotics, and so on. However, current methods for point cloud action recognition usually require a huge amount of data with manual annotations and a complex backbone network with high computation costs, which makes it impractical for real-world applications. Therefore, this paper considers the task of semi-supervised point cloud action recognition. We propose a Masked Pseudo-Labeling autoEncoder (\\textbf{MAPLE}) framework to l","authors_text":"Jungong Han, Tao Mei, Wu Liu, Xiaodong Chen, Xinchen Liu, Yongdong Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T12:32:40Z","title":"MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00407","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:a15960ea890064b09c1760f98327b4ecd10e8060984bbb04a5fc4c5978c63e85","target":"record","created_at":"2026-07-05T04:53:49Z","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":"d96ed828e5464b6f38aeba2b67dd8afb002485ddc9cfa1c3edc62b098db047ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T12:32:40Z","title_canon_sha256":"281051710e877880295e76c766f54803c3789f46d8ca9bb06548685961068640"},"schema_version":"1.0","source":{"id":"2209.00407","kind":"arxiv","version":1}},"canonical_sha256":"e7fb7526b549f76e75e1feec3720e41253562d9114e0d003b31709d6bd6d6f17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7fb7526b549f76e75e1feec3720e41253562d9114e0d003b31709d6bd6d6f17","first_computed_at":"2026-07-05T04:53:49.170422Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:53:49.170422Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6irT61dEaJPUKH1mVkKBLBic9Fjk4r/9Y90Bt4qN31/yYqGSau5CZIfe/m6pG+vHyA+lSCMQ5+VQpjtviL4OCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:53:49.170819Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.00407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a15960ea890064b09c1760f98327b4ecd10e8060984bbb04a5fc4c5978c63e85","sha256:673d6ea1ca45b06cf95be77964c9d19d04829f18d806b247813f2dca9af8dadf"],"state_sha256":"c0fbcaa440b54a40f52c4594520640ac0bbefaaa1f525c4ade34f198ef2a1f9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bB3omalScshN8uFq+V9OikdwJ/sInV0Ws/zYjMk6GH6BtwQTAT+7LpVHT17BPo4X/Y95/uwExvap73gDCiEbCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:40:46.322695Z","bundle_sha256":"f4d7425545dc72a4ab857fec7d365f150b4a33593dcec017501d0a529dcc35c6"}}