{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SEEQLWEIVIJWHGA4DQKAS4KELE","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":"ce4d293c9d700728f95d497a6117a7bf5ff8761d143321a24aa3a9f186f3cd89","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-05T08:08:25Z","title_canon_sha256":"3ef203e7c1045e6714aa933884da1713d788c11db2483a3f20a197c1a8549634"},"schema_version":"1.0","source":{"id":"2012.02970","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.02970","created_at":"2026-07-05T01:57:24Z"},{"alias_kind":"arxiv_version","alias_value":"2012.02970v1","created_at":"2026-07-05T01:57:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.02970","created_at":"2026-07-05T01:57:24Z"},{"alias_kind":"pith_short_12","alias_value":"SEEQLWEIVIJW","created_at":"2026-07-05T01:57:24Z"},{"alias_kind":"pith_short_16","alias_value":"SEEQLWEIVIJWHGA4","created_at":"2026-07-05T01:57:24Z"},{"alias_kind":"pith_short_8","alias_value":"SEEQLWEI","created_at":"2026-07-05T01:57:24Z"}],"graph_snapshots":[{"event_id":"sha256:f1de9f5157c3e78d520abc9a9412833f13b573733199b91e5b584e0461d257fb","target":"graph","created_at":"2026-07-05T01:57:24Z","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/2012.02970/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph convolutional networks (GCNs) can effectively capture the features of related nodes and improve the performance of the model. More attention is paid to employing GCN in Skeleton-Based action recognition. But existing methods based on GCNs have two problems. First, the consistency of temporal and spatial features is ignored for extracting features node by node and frame by frame. To obtain spatiotemporal features simultaneously, we design a generic representation of skeleton sequences for action recognition and propose a novel model called Temporal Graph Networks (TGN). Secondly, the adja","authors_text":"Qing Li, Ruiwen Zhang, Tingwei Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-05T08:08:25Z","title":"Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.02970","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":"sha256:1f049c8d7c91e46806912d53c09278298e3d434d85d526a10982b2d3ea52e1d3","target":"record","created_at":"2026-07-05T01:57:24Z","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":"ce4d293c9d700728f95d497a6117a7bf5ff8761d143321a24aa3a9f186f3cd89","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-05T08:08:25Z","title_canon_sha256":"3ef203e7c1045e6714aa933884da1713d788c11db2483a3f20a197c1a8549634"},"schema_version":"1.0","source":{"id":"2012.02970","kind":"arxiv","version":1}},"canonical_sha256":"910905d888aa1363981c1c14097144592a559c2ab01d30d845397d119db7bccb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"910905d888aa1363981c1c14097144592a559c2ab01d30d845397d119db7bccb","first_computed_at":"2026-07-05T01:57:24.410956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:57:24.410956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WqwPxtBQ1N2SvL8YmszBHk7QW0QOwv03rqwJG2YJ143K9wDn3SZzugJhpx+Knq4rrW7VV5K5nUX3LVTE2pXqBg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:57:24.411498Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.02970","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f049c8d7c91e46806912d53c09278298e3d434d85d526a10982b2d3ea52e1d3","sha256:f1de9f5157c3e78d520abc9a9412833f13b573733199b91e5b584e0461d257fb"],"state_sha256":"43e6f2f8df861dd92e087031f710f0d9c344566fdc28f9743685af0464c6ae46"}