{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:X46IHN3SQVBKQEBACQM67YGDNF","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":"a07ce43d1ea91bf5cfe617d7c01459a84696be14a7881bc711773fb395e9350f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-12T23:19:57Z","title_canon_sha256":"f703213e005d65300ff219ba44d42397037f383c2b845d20772237139462479a"},"schema_version":"1.0","source":{"id":"1610.03898","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.03898","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"arxiv_version","alias_value":"1610.03898v2","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.03898","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"pith_short_12","alias_value":"X46IHN3SQVBK","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"X46IHN3SQVBKQEBA","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"X46IHN3S","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:82e2a1864a1ef18edb1ead6739d7a0c1980b3b2f964e2cd15320a3c0340f6296","target":"graph","created_at":"2026-05-18T00:04:00Z","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 convolutional neural networks (ConvNets) have been recently shown to attain state-of-the-art performance for action recognition on standard-resolution videos. However, less attention has been paid to recognition performance at extremely low resolutions (eLR) (e.g., 16 x 12 pixels). Reliable action recognition using eLR cameras would address privacy concerns in various application environments such as private homes, hospitals, nursing/rehabilitation facilities, etc. In this paper, we propose a semi-coupled filter-sharing network that leverages high resolution (HR) videos during training in","authors_text":"Janusz Konrad, Jiawei Chen, Jonathan Wu, Prakash Ishwar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-12T23:19:57Z","title":"Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.03898","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":"sha256:1315915b0d1c965e2978e280e1ea178baa8e7c43c81fe4ea1d1c61382ffb89b8","target":"record","created_at":"2026-05-18T00:04:00Z","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":"a07ce43d1ea91bf5cfe617d7c01459a84696be14a7881bc711773fb395e9350f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-12T23:19:57Z","title_canon_sha256":"f703213e005d65300ff219ba44d42397037f383c2b845d20772237139462479a"},"schema_version":"1.0","source":{"id":"1610.03898","kind":"arxiv","version":2}},"canonical_sha256":"bf3c83b7728542a810201419efe0c3697e5d42a216fe96d07a2c4df774b63e43","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf3c83b7728542a810201419efe0c3697e5d42a216fe96d07a2c4df774b63e43","first_computed_at":"2026-05-18T00:04:00.535874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:00.535874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eCj2Dywv4RPQIElwaOukt4HS2wEVAq9VO5gZno2kozf+Iw6cdatJQjAZ1C2MjljdKzdRfUxWqZjayvYM+7XtAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:00.536513Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.03898","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1315915b0d1c965e2978e280e1ea178baa8e7c43c81fe4ea1d1c61382ffb89b8","sha256:82e2a1864a1ef18edb1ead6739d7a0c1980b3b2f964e2cd15320a3c0340f6296"],"state_sha256":"3970397415ed14b95be75046d088a70b4e91a5aa584c803f6b19c62d00facfa7"}