{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3LDL2SCPWDDW2JWXGA2INR3G2B","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":"a8a523349e735291c3ca77892106083318cce91737a5a08691471aa891d5b286","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-16T21:52:04Z","title_canon_sha256":"80fd589586523780b9f73054d5269adf7571ac9e03385784381dde04213796a4"},"schema_version":"1.0","source":{"id":"1908.06188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.06188","created_at":"2026-07-04T23:58:13Z"},{"alias_kind":"arxiv_version","alias_value":"1908.06188v1","created_at":"2026-07-04T23:58:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.06188","created_at":"2026-07-04T23:58:13Z"},{"alias_kind":"pith_short_12","alias_value":"3LDL2SCPWDDW","created_at":"2026-07-04T23:58:13Z"},{"alias_kind":"pith_short_16","alias_value":"3LDL2SCPWDDW2JWX","created_at":"2026-07-04T23:58:13Z"},{"alias_kind":"pith_short_8","alias_value":"3LDL2SCP","created_at":"2026-07-04T23:58:13Z"}],"graph_snapshots":[{"event_id":"sha256:3f6031b45a8c48715cad5d8a5f4a26a271b8f8300d116a243683a9906634382e","target":"graph","created_at":"2026-07-04T23:58:13Z","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/1908.06188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes an approach that estimates human walking gait quality index using an adversarial auto-encoder (AAE), i.e. a combination of auto-encoder and generative adversarial network (GAN). Since most GAN-based models have been employed as data generators, our work introduces another perspective of their application. This method directly works on a sequence of 3D point clouds representing the walking postures of a subject. By fitting a cylinder onto each point cloud and feeding obtained histograms to an appropriate AAE, our system is able to provide different measures that may be used ","authors_text":"Jean Meunier, Trong-Nguyen Nguyen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-16T21:52:04Z","title":"Applying Adversarial Auto-encoder for Estimating Human Walking Gait Abnormality Index"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.06188","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":"sha256:8e4f154cdd31297f07a45f72ef092c6c1ce26d8e2d242708508f0a397a50d57d","target":"record","created_at":"2026-07-04T23:58:13Z","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":"a8a523349e735291c3ca77892106083318cce91737a5a08691471aa891d5b286","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-16T21:52:04Z","title_canon_sha256":"80fd589586523780b9f73054d5269adf7571ac9e03385784381dde04213796a4"},"schema_version":"1.0","source":{"id":"1908.06188","kind":"arxiv","version":1}},"canonical_sha256":"dac6bd484fb0c76d26d7303486c766d04346ef7ef7312831920ad89498137017","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dac6bd484fb0c76d26d7303486c766d04346ef7ef7312831920ad89498137017","first_computed_at":"2026-07-04T23:58:13.388836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:58:13.388836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JZIsJnO3nVlM+6Mfp+d7hhAe865kxyTQIXEsFSf5XNhj+udhYWM8PlumGKtHLdrMWE+TRuvBW2bLaP/wlomxCg==","signature_status":"signed_v1","signed_at":"2026-07-04T23:58:13.389286Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.06188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e4f154cdd31297f07a45f72ef092c6c1ce26d8e2d242708508f0a397a50d57d","sha256:3f6031b45a8c48715cad5d8a5f4a26a271b8f8300d116a243683a9906634382e"],"state_sha256":"e3c41e9bbc1a94b51e099d9fc11d3b51d2c23096b6753d46362dfaab21e9ed08"}