{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5UXXXJE3OSD53NYYKHPHT4VEW6","short_pith_number":"pith:5UXXXJE3","canonical_record":{"source":{"id":"2304.04023","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-08T14:34:07Z","cross_cats_sorted":[],"title_canon_sha256":"4f7b3649e1f8299debd381765758ffa7121ae7ad236d6d46ca8303fd2303f512","abstract_canon_sha256":"a0a296ff4f4f8e65c09c4c0a3f0840cc13e0bfd6692014bba191630677d6c772"},"schema_version":"1.0"},"canonical_sha256":"ed2f7ba49b7487ddb71851de79f2a4b7b1766ddb808aac2d3483e0549d906de4","source":{"kind":"arxiv","id":"2304.04023","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.04023","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"arxiv_version","alias_value":"2304.04023v2","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.04023","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"pith_short_12","alias_value":"5UXXXJE3OSD5","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"pith_short_16","alias_value":"5UXXXJE3OSD53NYY","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"pith_short_8","alias_value":"5UXXXJE3","created_at":"2026-07-05T09:14:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5UXXXJE3OSD53NYYKHPHT4VEW6","target":"record","payload":{"canonical_record":{"source":{"id":"2304.04023","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-08T14:34:07Z","cross_cats_sorted":[],"title_canon_sha256":"4f7b3649e1f8299debd381765758ffa7121ae7ad236d6d46ca8303fd2303f512","abstract_canon_sha256":"a0a296ff4f4f8e65c09c4c0a3f0840cc13e0bfd6692014bba191630677d6c772"},"schema_version":"1.0"},"canonical_sha256":"ed2f7ba49b7487ddb71851de79f2a4b7b1766ddb808aac2d3483e0549d906de4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:26.936556Z","signature_b64":"hnL5HHZxt0XnDOh6Jrdx7cuenGLx/QPND9wIyDAagYlB9EJwCK01GTvezBBzP2/hdnw7MzcsTFXQzINkgI9JCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed2f7ba49b7487ddb71851de79f2a4b7b1766ddb808aac2d3483e0549d906de4","last_reissued_at":"2026-07-05T09:14:26.936019Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:26.936019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.04023","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":"2026-07-05T09:14:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YnSg/otYYUTzbjpNLZxzg9T0hTPXkicIHj0yrqWslX4KqL4y4I98wj5+b1bEXrhfZG99auj8WDmjZ51hHywFBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T23:12:32.574764Z"},"content_sha256":"2aeaff483d35b93b2fe99c80a7777bcf22448857048eb00bb43fa586ad6ae5cd","schema_version":"1.0","event_id":"sha256:2aeaff483d35b93b2fe99c80a7777bcf22448857048eb00bb43fa586ad6ae5cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5UXXXJE3OSD53NYYKHPHT4VEW6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attack-Augmentation Mixing-Contrastive Skeletal Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binqian Xu, Guo-Sen Xie, Jiachao Zhang, Rui Yan, Xiangbo Shu","submitted_at":"2023-04-08T14:34:07Z","abstract_excerpt":"Contrastive learning, relying on effective positive and negative sample pairs, is beneficial to learn informative skeleton representations in unsupervised skeleton-based action recognition. To achieve these positive and negative pairs, existing weak/strong data augmentation methods have to randomly change the appearance of skeletons for indirectly pursuing semantic perturbations. However, such approaches have two limitations: i) solely perturbing appearance cannot well capture the intrinsic semantic information of skeletons, and ii) randomly perturbation may change the original positive/negati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.04023","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/2304.04023/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":"2026-07-05T09:14:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GhU75tfcmd/8Gxzd2ocdh/XjPmai9EeabPN2wUbq4SKBXJ/ecBrvgLbN0rbRI8sP37r5ifzF3TakLwjzUfx9BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T23:12:32.575147Z"},"content_sha256":"0df88256503066d21c736e0386d9bcbec425e884286047fa50ffc22adf6830f2","schema_version":"1.0","event_id":"sha256:0df88256503066d21c736e0386d9bcbec425e884286047fa50ffc22adf6830f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5UXXXJE3OSD53NYYKHPHT4VEW6/bundle.json","state_url":"https://pith.science/pith/5UXXXJE3OSD53NYYKHPHT4VEW6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5UXXXJE3OSD53NYYKHPHT4VEW6/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":"2026-07-21T23:12:32Z","links":{"resolver":"https://pith.science/pith/5UXXXJE3OSD53NYYKHPHT4VEW6","bundle":"https://pith.science/pith/5UXXXJE3OSD53NYYKHPHT4VEW6/bundle.json","state":"https://pith.science/pith/5UXXXJE3OSD53NYYKHPHT4VEW6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5UXXXJE3OSD53NYYKHPHT4VEW6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5UXXXJE3OSD53NYYKHPHT4VEW6","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":"a0a296ff4f4f8e65c09c4c0a3f0840cc13e0bfd6692014bba191630677d6c772","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-08T14:34:07Z","title_canon_sha256":"4f7b3649e1f8299debd381765758ffa7121ae7ad236d6d46ca8303fd2303f512"},"schema_version":"1.0","source":{"id":"2304.04023","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.04023","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"arxiv_version","alias_value":"2304.04023v2","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.04023","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"pith_short_12","alias_value":"5UXXXJE3OSD5","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"pith_short_16","alias_value":"5UXXXJE3OSD53NYY","created_at":"2026-07-05T09:14:26Z"},{"alias_kind":"pith_short_8","alias_value":"5UXXXJE3","created_at":"2026-07-05T09:14:26Z"}],"graph_snapshots":[{"event_id":"sha256:0df88256503066d21c736e0386d9bcbec425e884286047fa50ffc22adf6830f2","target":"graph","created_at":"2026-07-05T09:14:26Z","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/2304.04023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive learning, relying on effective positive and negative sample pairs, is beneficial to learn informative skeleton representations in unsupervised skeleton-based action recognition. To achieve these positive and negative pairs, existing weak/strong data augmentation methods have to randomly change the appearance of skeletons for indirectly pursuing semantic perturbations. However, such approaches have two limitations: i) solely perturbing appearance cannot well capture the intrinsic semantic information of skeletons, and ii) randomly perturbation may change the original positive/negati","authors_text":"Binqian Xu, Guo-Sen Xie, Jiachao Zhang, Rui Yan, Xiangbo Shu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-08T14:34:07Z","title":"Attack-Augmentation Mixing-Contrastive Skeletal Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.04023","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":"sha256:2aeaff483d35b93b2fe99c80a7777bcf22448857048eb00bb43fa586ad6ae5cd","target":"record","created_at":"2026-07-05T09:14:26Z","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":"a0a296ff4f4f8e65c09c4c0a3f0840cc13e0bfd6692014bba191630677d6c772","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-08T14:34:07Z","title_canon_sha256":"4f7b3649e1f8299debd381765758ffa7121ae7ad236d6d46ca8303fd2303f512"},"schema_version":"1.0","source":{"id":"2304.04023","kind":"arxiv","version":2}},"canonical_sha256":"ed2f7ba49b7487ddb71851de79f2a4b7b1766ddb808aac2d3483e0549d906de4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed2f7ba49b7487ddb71851de79f2a4b7b1766ddb808aac2d3483e0549d906de4","first_computed_at":"2026-07-05T09:14:26.936019Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:26.936019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hnL5HHZxt0XnDOh6Jrdx7cuenGLx/QPND9wIyDAagYlB9EJwCK01GTvezBBzP2/hdnw7MzcsTFXQzINkgI9JCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:26.936556Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.04023","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2aeaff483d35b93b2fe99c80a7777bcf22448857048eb00bb43fa586ad6ae5cd","sha256:0df88256503066d21c736e0386d9bcbec425e884286047fa50ffc22adf6830f2"],"state_sha256":"efbcbbd1c2748f86347fa8b3793bcb845dadef3252678aa77a4fc74ea1a9d2b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ugQ0AA6OZdu3wx3OX2CrNsoN5R49wrBSmQDmU0oMqLfbUT4OuLh56Ke8X8UqVQ+NZ+kNESlckCD7mCPp8802AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-21T23:12:32.577374Z","bundle_sha256":"1d9100b982ac258bb306fbcf01860252c094318ff0ebcad15e9dea059ed19ff2"}}