{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DNWKGMMYK5IC4KBQLHZBFVR3N7","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":"fc15c7d6f5e0d5a0b6bb25627d5cc170f0fb21228642da1d4d61e14b6be96432","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2022-06-03T14:17:37Z","title_canon_sha256":"ad9b264bde5ea07375a8808beb868eacde68d8407e98ee0694fdf1d7a84edc6f"},"schema_version":"1.0","source":{"id":"2206.01587","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.01587","created_at":"2026-07-05T04:28:49Z"},{"alias_kind":"arxiv_version","alias_value":"2206.01587v1","created_at":"2026-07-05T04:28:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.01587","created_at":"2026-07-05T04:28:49Z"},{"alias_kind":"pith_short_12","alias_value":"DNWKGMMYK5IC","created_at":"2026-07-05T04:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"DNWKGMMYK5IC4KBQ","created_at":"2026-07-05T04:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"DNWKGMMY","created_at":"2026-07-05T04:28:49Z"}],"graph_snapshots":[{"event_id":"sha256:ef302779aca6ee261cf69d4fb580ee36c260c1fdde12e653a8d67b0ec60bf42c","target":"graph","created_at":"2026-07-05T04:28:49Z","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/2206.01587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In today's world, many patients with cognitive impairments and motor dysfunction seek the attention of experts to perform specific conventional therapies to improve their situation. However, due to a lack of neurorehabilitation professionals, patients suffer from severe effects that worsen their condition. In this paper, we present a technological approach for a novel robotic neurorehabilitation training system. It relies on a combination of a rehabilitation device, signal classification methods, supervised machine learning models for training adaptation, training exercises, and socially inter","authors_text":"Daniele Panzeri, Elisabeth Andr\\'e, Matteo Lavit Nicora, Matteo Malosio, Patrick Gebhard, Pooja Prajod, Rhythm Arora","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2022-06-03T14:17:37Z","title":"Employing Socially Interactive Agents for Robotic Neurorehabilitation Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.01587","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":"sha256:63316e354be89c08739aff91d6761562cb4a04a2f15f8f7b1172c81340a17179","target":"record","created_at":"2026-07-05T04:28:49Z","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":"fc15c7d6f5e0d5a0b6bb25627d5cc170f0fb21228642da1d4d61e14b6be96432","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2022-06-03T14:17:37Z","title_canon_sha256":"ad9b264bde5ea07375a8808beb868eacde68d8407e98ee0694fdf1d7a84edc6f"},"schema_version":"1.0","source":{"id":"2206.01587","kind":"arxiv","version":1}},"canonical_sha256":"1b6ca3319857502e283059f212d63b6ff9a95cba772fcc04e82ea43df49ac255","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b6ca3319857502e283059f212d63b6ff9a95cba772fcc04e82ea43df49ac255","first_computed_at":"2026-07-05T04:28:49.397376Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:28:49.397376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fsy2ycZ5bz2+7eoDLFB/DqzSDnJ3Sp8GacLGzh99ciXMc+cKLX2vk0ey34kOaWgCIvnznQPw+lUNpOF3JHksAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:28:49.397862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.01587","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63316e354be89c08739aff91d6761562cb4a04a2f15f8f7b1172c81340a17179","sha256:ef302779aca6ee261cf69d4fb580ee36c260c1fdde12e653a8d67b0ec60bf42c"],"state_sha256":"1bcf5a81692360bdf69c874f0c7c50cfa8cf95630d917e4f8ffaa3a4b070893b"}