{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:J46GZZ23RZOSTSZZORGZTQKNJF","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":"51f27842b4be8a3504fb7c375d634d0909c637e46c204109ba47a560a0be3435","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-13T09:41:00Z","title_canon_sha256":"5a032e20a0b45c625b908e87a7f8d954ce18b0a8b4777bd97f7d8efea317ed34"},"schema_version":"1.0","source":{"id":"1906.05571","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.05571","created_at":"2026-05-17T23:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"1906.05571v1","created_at":"2026-05-17T23:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05571","created_at":"2026-05-17T23:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"J46GZZ23RZOS","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"J46GZZ23RZOSTSZZ","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"J46GZZ23","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:b6fbd1a5ba98b8cba96a5a41b49406d875d380006bcdbc6e23646e3cbd74b6d5","target":"graph","created_at":"2026-05-17T23:43:24Z","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"},"paper":{"abstract_excerpt":"Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for visual recognition problems. Nevertheless, the convolutional filters in these networks are local operations while ignoring the large-range dependency. Such drawback becomes even worse particularly for video recognition, since video is an information-intensive media with complex temporal variations. In this paper, we present a novel framework to boost the spatio-temporal representation learning by Local and Global Diffusion (LGD). Specifically, we construct a novel neural network architecture that learns th","authors_text":"Chong-Wah Ngo, Tao Mei, Ting Yao, Xinmei Tian, Zhaofan Qiu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-13T09:41:00Z","title":"Learning Spatio-Temporal Representation with Local and Global Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05571","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":"sha256:1fbdfb6e6366fd0ba886dc7809f1259278c16106a5708dac0ef4cf2c62593877","target":"record","created_at":"2026-05-17T23:43:24Z","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":"51f27842b4be8a3504fb7c375d634d0909c637e46c204109ba47a560a0be3435","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-13T09:41:00Z","title_canon_sha256":"5a032e20a0b45c625b908e87a7f8d954ce18b0a8b4777bd97f7d8efea317ed34"},"schema_version":"1.0","source":{"id":"1906.05571","kind":"arxiv","version":1}},"canonical_sha256":"4f3c6ce75b8e5d29cb39744d99c14d4957b32734a616dfadda958f7fe49a6ad4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f3c6ce75b8e5d29cb39744d99c14d4957b32734a616dfadda958f7fe49a6ad4","first_computed_at":"2026-05-17T23:43:24.900916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:24.900916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iTcCvJbdWjB0RJFhHRi5RqmOAdDIqgTFqz7O3tvytXN8heGiUOrAKCDcvRQXMcFhHvgbqOftvDRT6WFEqy/VCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:24.901476Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.05571","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fbdfb6e6366fd0ba886dc7809f1259278c16106a5708dac0ef4cf2c62593877","sha256:b6fbd1a5ba98b8cba96a5a41b49406d875d380006bcdbc6e23646e3cbd74b6d5"],"state_sha256":"d8190d47c8e3fe4bc9f42a2a1aa6a4c1ec16af7c43d4f9f3b6bd44206241a4a3"}