{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BSG2AKDE4YJ2Z5AMR626HKS5PZ","short_pith_number":"pith:BSG2AKDE","canonical_record":{"source":{"id":"2408.09356","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T04:40:16Z","cross_cats_sorted":[],"title_canon_sha256":"dfc8e05848ee1b0f395fdc68032786e65d9ca3317a2c0a39ac9661b8a2082256","abstract_canon_sha256":"3df5331ab4e702b4a0ba5470111df4ca4134570fa133f34792d934ba984ef6f6"},"schema_version":"1.0"},"canonical_sha256":"0c8da02864e613acf40c8fb5e3aa5d7e5129548690dd5054715c4417a61e3429","source":{"kind":"arxiv","id":"2408.09356","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09356","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09356v1","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09356","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"pith_short_12","alias_value":"BSG2AKDE4YJ2","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"pith_short_16","alias_value":"BSG2AKDE4YJ2Z5AM","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"pith_short_8","alias_value":"BSG2AKDE","created_at":"2026-07-05T08:56:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BSG2AKDE4YJ2Z5AMR626HKS5PZ","target":"record","payload":{"canonical_record":{"source":{"id":"2408.09356","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T04:40:16Z","cross_cats_sorted":[],"title_canon_sha256":"dfc8e05848ee1b0f395fdc68032786e65d9ca3317a2c0a39ac9661b8a2082256","abstract_canon_sha256":"3df5331ab4e702b4a0ba5470111df4ca4134570fa133f34792d934ba984ef6f6"},"schema_version":"1.0"},"canonical_sha256":"0c8da02864e613acf40c8fb5e3aa5d7e5129548690dd5054715c4417a61e3429","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:56:31.437538Z","signature_b64":"EKZmXZYhF8fUaXz7Mz/Nn01Qv20Yldjl7XDWL85RNs8LG1NiwOmC0EAh/icdcoGc9QyUpFsVHUbBvO3egu2HDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c8da02864e613acf40c8fb5e3aa5d7e5129548690dd5054715c4417a61e3429","last_reissued_at":"2026-07-05T08:56:31.437156Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:56:31.437156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.09356","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":"2026-07-05T08:56:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0V62hFZ6yBfghFlr5fWR4W71JZRJbItkOFx5ytwT5hEg/3OnoOeRlHcWmDUOoDWeZRrK5QaF+FuqS3jgqvkTDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:23:22.198836Z"},"content_sha256":"96b26a58625cb556a1f428d7379433e9823d76f0e7d38037f84a7738189e8f9c","schema_version":"1.0","event_id":"sha256:96b26a58625cb556a1f428d7379433e9823d76f0e7d38037f84a7738189e8f9c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BSG2AKDE4YJ2Z5AMR626HKS5PZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joint Temporal Pooling for Improving Skeleton-based Action Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jack Yang, Philip Ogunbona, Shanaka Ramesh Gunasekara, Wanqing Li","submitted_at":"2024-08-18T04:40:16Z","abstract_excerpt":"In skeleton-based human action recognition, temporal pooling is a critical step for capturing spatiotemporal relationship of joint dynamics. Conventional pooling methods overlook the preservation of motion information and treat each frame equally. However, in an action sequence, only a few segments of frames carry discriminative information related to the action. This paper presents a novel Joint Motion Adaptive Temporal Pooling (JMAP) method for improving skeleton-based action recognition. Two variants of JMAP, frame-wise pooling and joint-wise pooling, are introduced. The efficacy of JMAP ha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09356","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/2408.09356/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":"2026-07-05T08:56:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ojKuugOt/qZIQgTgSS8+zD9Y/YsJicSUf5qb1+yZKx7lBVwyL+UOqbacIhIeb5GgDDqi9lAEw8ZbXKtCzF8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:23:22.199238Z"},"content_sha256":"00b56069861f45892b973d7102e35629a06bf91ee4407dd15de42d198486572b","schema_version":"1.0","event_id":"sha256:00b56069861f45892b973d7102e35629a06bf91ee4407dd15de42d198486572b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ/bundle.json","state_url":"https://pith.science/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ/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":"2026-07-07T07:23:22Z","links":{"resolver":"https://pith.science/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ","bundle":"https://pith.science/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ/bundle.json","state":"https://pith.science/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BSG2AKDE4YJ2Z5AMR626HKS5PZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BSG2AKDE4YJ2Z5AMR626HKS5PZ","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":"3df5331ab4e702b4a0ba5470111df4ca4134570fa133f34792d934ba984ef6f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T04:40:16Z","title_canon_sha256":"dfc8e05848ee1b0f395fdc68032786e65d9ca3317a2c0a39ac9661b8a2082256"},"schema_version":"1.0","source":{"id":"2408.09356","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09356","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09356v1","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09356","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"pith_short_12","alias_value":"BSG2AKDE4YJ2","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"pith_short_16","alias_value":"BSG2AKDE4YJ2Z5AM","created_at":"2026-07-05T08:56:31Z"},{"alias_kind":"pith_short_8","alias_value":"BSG2AKDE","created_at":"2026-07-05T08:56:31Z"}],"graph_snapshots":[{"event_id":"sha256:00b56069861f45892b973d7102e35629a06bf91ee4407dd15de42d198486572b","target":"graph","created_at":"2026-07-05T08:56:31Z","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/2408.09356/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In skeleton-based human action recognition, temporal pooling is a critical step for capturing spatiotemporal relationship of joint dynamics. Conventional pooling methods overlook the preservation of motion information and treat each frame equally. However, in an action sequence, only a few segments of frames carry discriminative information related to the action. This paper presents a novel Joint Motion Adaptive Temporal Pooling (JMAP) method for improving skeleton-based action recognition. Two variants of JMAP, frame-wise pooling and joint-wise pooling, are introduced. The efficacy of JMAP ha","authors_text":"Jack Yang, Philip Ogunbona, Shanaka Ramesh Gunasekara, Wanqing Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T04:40:16Z","title":"Joint Temporal Pooling for Improving Skeleton-based Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09356","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":"sha256:96b26a58625cb556a1f428d7379433e9823d76f0e7d38037f84a7738189e8f9c","target":"record","created_at":"2026-07-05T08:56:31Z","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":"3df5331ab4e702b4a0ba5470111df4ca4134570fa133f34792d934ba984ef6f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T04:40:16Z","title_canon_sha256":"dfc8e05848ee1b0f395fdc68032786e65d9ca3317a2c0a39ac9661b8a2082256"},"schema_version":"1.0","source":{"id":"2408.09356","kind":"arxiv","version":1}},"canonical_sha256":"0c8da02864e613acf40c8fb5e3aa5d7e5129548690dd5054715c4417a61e3429","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c8da02864e613acf40c8fb5e3aa5d7e5129548690dd5054715c4417a61e3429","first_computed_at":"2026-07-05T08:56:31.437156Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:31.437156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EKZmXZYhF8fUaXz7Mz/Nn01Qv20Yldjl7XDWL85RNs8LG1NiwOmC0EAh/icdcoGc9QyUpFsVHUbBvO3egu2HDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:31.437538Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.09356","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96b26a58625cb556a1f428d7379433e9823d76f0e7d38037f84a7738189e8f9c","sha256:00b56069861f45892b973d7102e35629a06bf91ee4407dd15de42d198486572b"],"state_sha256":"1c57012ec9223d3353997548dc89f45da60484194b8903099d8ff8e0b9e25af3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u6pkMw4GkwlrlypR5h/X/rIQ4/imU6DRLJ78ThgyGkurZIHWeNQcWo6hm54ewqIoRM1DBufsbbOduhKCYE31BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:23:22.201578Z","bundle_sha256":"bf0067a5fea90ce9c95e5fa453233230b0d8334da914dfc1561de5b2835f6717"}}