{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TUVH26GSU6IQ5RTQIGCOKYPHIE","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":"8815b9441736b73ce0a87063cb3d4734cf86707968f46d2a510c1d281a84c346","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-22T13:01:48Z","title_canon_sha256":"328ad97e07f7e298c577228805230d204d98ff16e01cfa7691eb9cadf0dc1a3f"},"schema_version":"1.0","source":{"id":"1806.08641","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.08641","created_at":"2026-05-17T23:48:40Z"},{"alias_kind":"arxiv_version","alias_value":"1806.08641v3","created_at":"2026-05-17T23:48:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.08641","created_at":"2026-05-17T23:48:40Z"},{"alias_kind":"pith_short_12","alias_value":"TUVH26GSU6IQ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TUVH26GSU6IQ5RTQ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TUVH26GS","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:28b25695d046b6c52b3e249f792981c57c1b18b6268b3438ea35e8f53afb9ac3","target":"graph","created_at":"2026-05-17T23:48:40Z","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":"Machine learning classifiers using surface electromyography are important for human-machine interfacing and device control. Conventional classifiers such as support vector machines (SVMs) use manually extracted features based on e.g. wavelets. These features tend to be fixed and non-person specific, which is a key limitation due to high person-to-person variability of myography signals. Deep neural networks, by contrast, can automatically extract person specific features - an important advantage. However, deep neural networks typically have the drawback of large numbers of parameters, requirin","authors_text":"Adam Hartwell, Sean R Anderson, Visakan Kadirkamanathan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-22T13:01:48Z","title":"Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.08641","kind":"arxiv","version":3},"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":"sha256:23e3a6753cb506a5eb5ebdeff501925f59afd8c43d78088ba76998aef11bcaf1","target":"record","created_at":"2026-05-17T23:48:40Z","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":"8815b9441736b73ce0a87063cb3d4734cf86707968f46d2a510c1d281a84c346","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-22T13:01:48Z","title_canon_sha256":"328ad97e07f7e298c577228805230d204d98ff16e01cfa7691eb9cadf0dc1a3f"},"schema_version":"1.0","source":{"id":"1806.08641","kind":"arxiv","version":3}},"canonical_sha256":"9d2a7d78d2a7910ec6704184e561e7412b1141220f2287d01f311623280c30a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d2a7d78d2a7910ec6704184e561e7412b1141220f2287d01f311623280c30a9","first_computed_at":"2026-05-17T23:48:40.391673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:40.391673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TyWAL7iOLIHcHmKdukb10auzxjdwzWb3kLvMR+tz6f1DryfpeLzuM4zfKguMC2UHPcr36LTo7/VLQhoPpdbiAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:40.392271Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.08641","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23e3a6753cb506a5eb5ebdeff501925f59afd8c43d78088ba76998aef11bcaf1","sha256:28b25695d046b6c52b3e249f792981c57c1b18b6268b3438ea35e8f53afb9ac3"],"state_sha256":"f4621ef4bba504c43d903c956567ca823d1bdaff8f3ff40636bd20055a68d278"}