{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PLDNUIXVWPWJIWI227IG3NCZZ4","short_pith_number":"pith:PLDNUIXV","canonical_record":{"source":{"id":"2205.02071","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T14:03:43Z","cross_cats_sorted":[],"title_canon_sha256":"761d4ff56a7ce7a76c56b14ff8e307215d62c402d7b3975ea9800e4baa19df25","abstract_canon_sha256":"82c90239f009f9159a25ee60f9035c2b9f21d7cb7002cd9d5d382f53d6d8bf46"},"schema_version":"1.0"},"canonical_sha256":"7ac6da22f5b3ec94591ad7d06db459cf139fc6b88aa961c6a9fe2cd3b4d2e00f","source":{"kind":"arxiv","id":"2205.02071","version":7},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.02071","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"arxiv_version","alias_value":"2205.02071v7","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.02071","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"pith_short_12","alias_value":"PLDNUIXVWPWJ","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"pith_short_16","alias_value":"PLDNUIXVWPWJIWI2","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"pith_short_8","alias_value":"PLDNUIXV","created_at":"2026-06-02T01:03:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PLDNUIXVWPWJIWI227IG3NCZZ4","target":"record","payload":{"canonical_record":{"source":{"id":"2205.02071","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T14:03:43Z","cross_cats_sorted":[],"title_canon_sha256":"761d4ff56a7ce7a76c56b14ff8e307215d62c402d7b3975ea9800e4baa19df25","abstract_canon_sha256":"82c90239f009f9159a25ee60f9035c2b9f21d7cb7002cd9d5d382f53d6d8bf46"},"schema_version":"1.0"},"canonical_sha256":"7ac6da22f5b3ec94591ad7d06db459cf139fc6b88aa961c6a9fe2cd3b4d2e00f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:27.713366Z","signature_b64":"P+y3fDn0q6tmhjFzAKnuH16MpggRw0LkCwXYluZyyIBRqYFffSNrobJiR5MDRlrQh9W+yh7OaJ0OQWl3QazbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ac6da22f5b3ec94591ad7d06db459cf139fc6b88aa961c6a9fe2cd3b4d2e00f","last_reissued_at":"2026-06-02T01:03:27.713001Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:27.713001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.02071","source_version":7,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T01:03:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IbKmcfWmlmKMfucn5go6dSIDlVtTZ9iLnpaCPf4vGk37H8E/Cw1oIJysn5FS9IeE0B+KrSzF5o84gNAUWtlLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T03:51:44.420908Z"},"content_sha256":"a9ed84cce1a13623bd97429a0325aaed9d7993b1f338e02486f992a0fb82f828","schema_version":"1.0","event_id":"sha256:a9ed84cce1a13623bd97429a0325aaed9d7993b1f338e02486f992a0fb82f828"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PLDNUIXVWPWJIWI227IG3NCZZ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Representation-Centric Survey of Supervised Skeletal Action Recognition and the New Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongwoo Kim, Jiyao Yang, Lei Wang, Madhawa Perera, Min Xu, Pan Ji, Saeed Anwar, Tianyang Wang, Tom Gedeon, Yang Liu, Zhenyue Qin","submitted_at":"2022-05-04T14:03:43Z","abstract_excerpt":"3D skeletal action recognition has emerged as a powerful alternative to traditional RGB and depth-based approaches, offering robustness to environmental variations, computational efficiency, and enhanced privacy. Despite remarkable progress, current research remains fragmented across diverse input representations and lacks evaluation under scenarios that reflect real-world challenges. This paper presents a representation-centric review of supervised skeletal action recognition, systematically categorizing state-of-the-art methods by their input feature types: joint coordinates, bone vectors, m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.02071","kind":"arxiv","version":7},"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/2205.02071/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":"2026-06-02T01:03:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ch+D04GSiTTaiuSxRcLlpRUt/t0EZv5/niARrKoQ2b4LvE16z+X/h+yPpzThrJwUPxYorl/mlDLMyJxG8asHBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T03:51:44.421636Z"},"content_sha256":"ade019094caa094c3a607518841288914005adcbb2bf0453fbcc0639bde179a8","schema_version":"1.0","event_id":"sha256:ade019094caa094c3a607518841288914005adcbb2bf0453fbcc0639bde179a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PLDNUIXVWPWJIWI227IG3NCZZ4/bundle.json","state_url":"https://pith.science/pith/PLDNUIXVWPWJIWI227IG3NCZZ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PLDNUIXVWPWJIWI227IG3NCZZ4/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":"2026-06-05T03:51:44Z","links":{"resolver":"https://pith.science/pith/PLDNUIXVWPWJIWI227IG3NCZZ4","bundle":"https://pith.science/pith/PLDNUIXVWPWJIWI227IG3NCZZ4/bundle.json","state":"https://pith.science/pith/PLDNUIXVWPWJIWI227IG3NCZZ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PLDNUIXVWPWJIWI227IG3NCZZ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PLDNUIXVWPWJIWI227IG3NCZZ4","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":"82c90239f009f9159a25ee60f9035c2b9f21d7cb7002cd9d5d382f53d6d8bf46","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T14:03:43Z","title_canon_sha256":"761d4ff56a7ce7a76c56b14ff8e307215d62c402d7b3975ea9800e4baa19df25"},"schema_version":"1.0","source":{"id":"2205.02071","kind":"arxiv","version":7}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.02071","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"arxiv_version","alias_value":"2205.02071v7","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.02071","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"pith_short_12","alias_value":"PLDNUIXVWPWJ","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"pith_short_16","alias_value":"PLDNUIXVWPWJIWI2","created_at":"2026-06-02T01:03:27Z"},{"alias_kind":"pith_short_8","alias_value":"PLDNUIXV","created_at":"2026-06-02T01:03:27Z"}],"graph_snapshots":[{"event_id":"sha256:ade019094caa094c3a607518841288914005adcbb2bf0453fbcc0639bde179a8","target":"graph","created_at":"2026-06-02T01:03:27Z","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/2205.02071/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D skeletal action recognition has emerged as a powerful alternative to traditional RGB and depth-based approaches, offering robustness to environmental variations, computational efficiency, and enhanced privacy. Despite remarkable progress, current research remains fragmented across diverse input representations and lacks evaluation under scenarios that reflect real-world challenges. This paper presents a representation-centric review of supervised skeletal action recognition, systematically categorizing state-of-the-art methods by their input feature types: joint coordinates, bone vectors, m","authors_text":"Dongwoo Kim, Jiyao Yang, Lei Wang, Madhawa Perera, Min Xu, Pan Ji, Saeed Anwar, Tianyang Wang, Tom Gedeon, Yang Liu, Zhenyue Qin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T14:03:43Z","title":"Representation-Centric Survey of Supervised Skeletal Action Recognition and the New Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.02071","kind":"arxiv","version":7},"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:a9ed84cce1a13623bd97429a0325aaed9d7993b1f338e02486f992a0fb82f828","target":"record","created_at":"2026-06-02T01:03:27Z","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":"82c90239f009f9159a25ee60f9035c2b9f21d7cb7002cd9d5d382f53d6d8bf46","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T14:03:43Z","title_canon_sha256":"761d4ff56a7ce7a76c56b14ff8e307215d62c402d7b3975ea9800e4baa19df25"},"schema_version":"1.0","source":{"id":"2205.02071","kind":"arxiv","version":7}},"canonical_sha256":"7ac6da22f5b3ec94591ad7d06db459cf139fc6b88aa961c6a9fe2cd3b4d2e00f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ac6da22f5b3ec94591ad7d06db459cf139fc6b88aa961c6a9fe2cd3b4d2e00f","first_computed_at":"2026-06-02T01:03:27.713001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:27.713001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P+y3fDn0q6tmhjFzAKnuH16MpggRw0LkCwXYluZyyIBRqYFffSNrobJiR5MDRlrQh9W+yh7OaJ0OQWl3QazbBA==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:27.713366Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.02071","source_kind":"arxiv","source_version":7}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9ed84cce1a13623bd97429a0325aaed9d7993b1f338e02486f992a0fb82f828","sha256:ade019094caa094c3a607518841288914005adcbb2bf0453fbcc0639bde179a8"],"state_sha256":"277085ef33de2b3316336a7b38ea765bdecd42de3bfb820ee5dfe8de0855dc86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ew5ctiQONeDtioI8R5k0+R2o0hBANyvPK+/ODPRPx0K6XLPimS2519ShVwPgLOq9LuzBU4dUGoVAfelKFzSrDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T03:51:44.425311Z","bundle_sha256":"6dad1847743f3b1ee49ace857db358ab35950002cd73c5dc3fee73bb7278142f"}}