{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:T3TXRCJYTL75W6C7VTTXI5FCLM","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":"6b2591f43dae6dde48f337fd6c2f00444454f23386dc60b185a9879f2e7a06b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-02T07:42:35Z","title_canon_sha256":"21c4ae7c0843555c1e6a1fbe42db346ef55b87b705bcdfccb2549381988b23d6"},"schema_version":"1.0","source":{"id":"1705.00835","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.00835","created_at":"2026-05-18T00:45:09Z"},{"alias_kind":"arxiv_version","alias_value":"1705.00835v1","created_at":"2026-05-18T00:45:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00835","created_at":"2026-05-18T00:45:09Z"},{"alias_kind":"pith_short_12","alias_value":"T3TXRCJYTL75","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"T3TXRCJYTL75W6C7","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"T3TXRCJY","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:85a56d04659aae42703e9f481a66e192aa20629788b3a60554f4a4a7b1a51132","target":"graph","created_at":"2026-05-18T00:45:09Z","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"},"paper":{"abstract_excerpt":"Deep learning techniques are being used in skeleton based action recognition tasks and outstanding performance has been reported. Compared with RNN based methods which tend to overemphasize temporal information, CNN-based approaches can jointly capture spatio-temporal information from texture color images encoded from skeleton sequences. There are several skeleton-based features that have proven effective in RNN-based and handcrafted-feature-based methods. However, it remains unknown whether they are suitable for CNN-based approaches. This paper proposes to encode five spatial skeleton feature","authors_text":"Philip O. Ogunbona, Pichao Wang, Wanqing Li, Zewei Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-02T07:42:35Z","title":"Investigation of Different Skeleton Features for CNN-based 3D Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00835","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":"sha256:2fe600c2cb3a823eac78fdbfbadf5ec7b21d3dcc05520c1d60bcfc156f92a823","target":"record","created_at":"2026-05-18T00:45:09Z","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":"6b2591f43dae6dde48f337fd6c2f00444454f23386dc60b185a9879f2e7a06b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-02T07:42:35Z","title_canon_sha256":"21c4ae7c0843555c1e6a1fbe42db346ef55b87b705bcdfccb2549381988b23d6"},"schema_version":"1.0","source":{"id":"1705.00835","kind":"arxiv","version":1}},"canonical_sha256":"9ee77889389affdb785face77474a25b2d19f34ef7d0d66d3102c98758f5be33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ee77889389affdb785face77474a25b2d19f34ef7d0d66d3102c98758f5be33","first_computed_at":"2026-05-18T00:45:09.646556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:09.646556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/PCnq2aRqfDadoPhZDqMNRBgl2Cc0OBu8zuPDDcAfJ7SLTpsqUUUF55K6haVmIihFKqK/iXxNJXnbtcx4JNBCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:09.647173Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.00835","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2fe600c2cb3a823eac78fdbfbadf5ec7b21d3dcc05520c1d60bcfc156f92a823","sha256:85a56d04659aae42703e9f481a66e192aa20629788b3a60554f4a4a7b1a51132"],"state_sha256":"192ed1f86a0d9c269d9436b48779022c0e219325983bd67c2215736076864ecc"}