{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GWTRYQG5J4OWSJBVUIVDK3E2SN","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":"7f033550b1d695aa88d3958d74893fbb38f262c169bf390efdf7feef9d902c57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-08-25T01:08:10Z","title_canon_sha256":"fc55277f083c6d0b603b0b8485dc78004cfb81c4ca0b654095cd6451b574697c"},"schema_version":"1.0","source":{"id":"1708.07590","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.07590","created_at":"2026-05-18T00:36:37Z"},{"alias_kind":"arxiv_version","alias_value":"1708.07590v2","created_at":"2026-05-18T00:36:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.07590","created_at":"2026-05-18T00:36:37Z"},{"alias_kind":"pith_short_12","alias_value":"GWTRYQG5J4OW","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GWTRYQG5J4OWSJBV","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GWTRYQG5","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:2c8155607d5d43373bf5aeaf7e2677b4c4c845f4a5ff3cb005bf6b7c992af413","target":"graph","created_at":"2026-05-18T00:36:37Z","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":"Recurrent Neural Networks (RNNs) have been widely used in natural language processing and computer vision. Among them, the Hierarchical Multi-scale RNN (HM-RNN), a kind of multi-scale hierarchical RNN proposed recently, can learn the hierarchical temporal structure from data automatically. In this paper, we extend the work to solve the computer vision task of action recognition. However, in sequence-to-sequence models like RNN, it is normally very hard to discover the relationships between inputs and outputs given static inputs. As a solution, attention mechanism could be applied to extract th","authors_text":"Bailing Zhang, Jeremy S. Smith, Shiyang Yan, Wenjin Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-08-25T01:08:10Z","title":"Hierarchical Multi-scale Attention Networks for Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.07590","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:f8d4903817086f3209419610ba25a7b16621700c297a619a1e8b9c2e06d25d9e","target":"record","created_at":"2026-05-18T00:36:37Z","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":"7f033550b1d695aa88d3958d74893fbb38f262c169bf390efdf7feef9d902c57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-08-25T01:08:10Z","title_canon_sha256":"fc55277f083c6d0b603b0b8485dc78004cfb81c4ca0b654095cd6451b574697c"},"schema_version":"1.0","source":{"id":"1708.07590","kind":"arxiv","version":2}},"canonical_sha256":"35a71c40dd4f1d692435a22a356c9a9357897dd14899efdb37754dad9b347f79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35a71c40dd4f1d692435a22a356c9a9357897dd14899efdb37754dad9b347f79","first_computed_at":"2026-05-18T00:36:37.977704Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:37.977704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vy4oOAW6hbP0DcVUDWnYq7EttqFL+M5O+4WULM2MGyDigBTn5LvWmBmFFfkH7thFyl2UN+lJ6zzpSmwq+aN1Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:37.978433Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.07590","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8d4903817086f3209419610ba25a7b16621700c297a619a1e8b9c2e06d25d9e","sha256:2c8155607d5d43373bf5aeaf7e2677b4c4c845f4a5ff3cb005bf6b7c992af413"],"state_sha256":"b61dd90b5aa05e74ef44c15d70494c7b325aee4b117f53d167d8ab55b2442046"}