{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AKW3YUWKRRGD4FBNX3JFG6Q7FF","short_pith_number":"pith:AKW3YUWK","canonical_record":{"source":{"id":"2411.13327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-11-20T13:49:06Z","cross_cats_sorted":[],"title_canon_sha256":"3ef456c8f0c92704aca90d7ddd77c457a78010678e6ec2e70adf9eaf2cf98bf7","abstract_canon_sha256":"3d1559a24840963720a4078619a94960ae3c42e41ea190bce82311aa5ec6a373"},"schema_version":"1.0"},"canonical_sha256":"02adbc52ca8c4c3e142dbed2537a1f294357198ebd2bbaacd010ccf679686bc3","source":{"kind":"arxiv","id":"2411.13327","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13327","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13327v1","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13327","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_12","alias_value":"AKW3YUWKRRGD","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_16","alias_value":"AKW3YUWKRRGD4FBN","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_8","alias_value":"AKW3YUWK","created_at":"2026-07-05T09:38:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AKW3YUWKRRGD4FBNX3JFG6Q7FF","target":"record","payload":{"canonical_record":{"source":{"id":"2411.13327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-11-20T13:49:06Z","cross_cats_sorted":[],"title_canon_sha256":"3ef456c8f0c92704aca90d7ddd77c457a78010678e6ec2e70adf9eaf2cf98bf7","abstract_canon_sha256":"3d1559a24840963720a4078619a94960ae3c42e41ea190bce82311aa5ec6a373"},"schema_version":"1.0"},"canonical_sha256":"02adbc52ca8c4c3e142dbed2537a1f294357198ebd2bbaacd010ccf679686bc3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:38:08.857095Z","signature_b64":"bMyEs7TMhpGA2C6SqgsSLgrbQuDWg/KPUTBYULhRDn55hJCnJIhuTBPfhNpxZPaZ7ZUSkrfeDh4s98xLg8YKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02adbc52ca8c4c3e142dbed2537a1f294357198ebd2bbaacd010ccf679686bc3","last_reissued_at":"2026-07-05T09:38:08.856695Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:38:08.856695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.13327","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:38:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oE5hmAiMcuVy8JoRXl2iaA/fMf6Le6g6gR1tuW/7zfI/5Vpf2wxynoW4bgS0NRP0/eVaT5ibgB8wegVfbJZxCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:33:51.315639Z"},"content_sha256":"270b7257290f30f3a34e5fa4f436a2830d4fdca171f645066057940de392f4c2","schema_version":"1.0","event_id":"sha256:270b7257290f30f3a34e5fa4f436a2830d4fdca171f645066057940de392f4c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AKW3YUWKRRGD4FBNX3JFG6Q7FF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-tuning Myoelectric Control through Reinforcement Learning in a Game Environment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Jan Zbinden, Kilian Freitag, Rita Laezza, Yiannis Karayiannidis","submitted_at":"2024-11-20T13:49:06Z","abstract_excerpt":"Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly focused on Supervised Learning (SL) techniques to tackle this problem. However, obtaining high-quality labeled data that accurately represents muscle activity during daily usage remains difficult. We investigate the potential of Reinforcement Learning (RL) to further improve the decoding of human motion intent by incorporating usage-based data. Methods: The starting point of our method is a SL control policy, p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13327","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.13327/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:38:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ietoXNC5n7D/82y/h9gsk0W58JAGkOFBWRdk4zXaCNLTn+UuHt1sKcm4vTgFju8TAvba+8vQn9TEVW3UodFhBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:33:51.316011Z"},"content_sha256":"10a76c59f3c535279f51bfe70e86107d0138286edac55914b5965290e1221c88","schema_version":"1.0","event_id":"sha256:10a76c59f3c535279f51bfe70e86107d0138286edac55914b5965290e1221c88"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF/bundle.json","state_url":"https://pith.science/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T02:33:51Z","links":{"resolver":"https://pith.science/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF","bundle":"https://pith.science/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF/bundle.json","state":"https://pith.science/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AKW3YUWKRRGD4FBNX3JFG6Q7FF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AKW3YUWKRRGD4FBNX3JFG6Q7FF","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":"3d1559a24840963720a4078619a94960ae3c42e41ea190bce82311aa5ec6a373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-11-20T13:49:06Z","title_canon_sha256":"3ef456c8f0c92704aca90d7ddd77c457a78010678e6ec2e70adf9eaf2cf98bf7"},"schema_version":"1.0","source":{"id":"2411.13327","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13327","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13327v1","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13327","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_12","alias_value":"AKW3YUWKRRGD","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_16","alias_value":"AKW3YUWKRRGD4FBN","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_8","alias_value":"AKW3YUWK","created_at":"2026-07-05T09:38:08Z"}],"graph_snapshots":[{"event_id":"sha256:10a76c59f3c535279f51bfe70e86107d0138286edac55914b5965290e1221c88","target":"graph","created_at":"2026-07-05T09:38:08Z","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/2411.13327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly focused on Supervised Learning (SL) techniques to tackle this problem. However, obtaining high-quality labeled data that accurately represents muscle activity during daily usage remains difficult. We investigate the potential of Reinforcement Learning (RL) to further improve the decoding of human motion intent by incorporating usage-based data. Methods: The starting point of our method is a SL control policy, p","authors_text":"Jan Zbinden, Kilian Freitag, Rita Laezza, Yiannis Karayiannidis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-11-20T13:49:06Z","title":"Fine-tuning Myoelectric Control through Reinforcement Learning in a Game Environment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13327","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":"sha256:270b7257290f30f3a34e5fa4f436a2830d4fdca171f645066057940de392f4c2","target":"record","created_at":"2026-07-05T09:38:08Z","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":"3d1559a24840963720a4078619a94960ae3c42e41ea190bce82311aa5ec6a373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-11-20T13:49:06Z","title_canon_sha256":"3ef456c8f0c92704aca90d7ddd77c457a78010678e6ec2e70adf9eaf2cf98bf7"},"schema_version":"1.0","source":{"id":"2411.13327","kind":"arxiv","version":1}},"canonical_sha256":"02adbc52ca8c4c3e142dbed2537a1f294357198ebd2bbaacd010ccf679686bc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02adbc52ca8c4c3e142dbed2537a1f294357198ebd2bbaacd010ccf679686bc3","first_computed_at":"2026-07-05T09:38:08.856695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:38:08.856695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bMyEs7TMhpGA2C6SqgsSLgrbQuDWg/KPUTBYULhRDn55hJCnJIhuTBPfhNpxZPaZ7ZUSkrfeDh4s98xLg8YKCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:38:08.857095Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13327","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:270b7257290f30f3a34e5fa4f436a2830d4fdca171f645066057940de392f4c2","sha256:10a76c59f3c535279f51bfe70e86107d0138286edac55914b5965290e1221c88"],"state_sha256":"9a573875441bc0801b106418d61ca257d071396aeddf405d6602732a7afd05f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lltGnLU2+CffTSiE49K95TdkWX74EI+AnDrZKdIVSlsu5hXpJLHYE6KlaJm9d514JqxHLxcqOW4VderuxPP7Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T02:33:51.318631Z","bundle_sha256":"f6bbaa3c7ccdcb06fb2225ee2b00de0d23c045bc5af3c9512903fa8c68c1fbb2"}}