{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VYKPV6DMVGTXBYUQMYQWSHFXYC","short_pith_number":"pith:VYKPV6DM","canonical_record":{"source":{"id":"2608.02408","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T15:49:50Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"406dbaf80908a5964a537a659af5db0a3f23943b321c1f45fc566ba4b1011214","abstract_canon_sha256":"745037c7b36bbadf65c842d718ffe7f614d1c9f1750d66941704c6db3e57598d"},"schema_version":"1.0"},"canonical_sha256":"ae14faf86ca9a770e2906621691cb7c0886fd861fa6f9a59b3be88ba99e3a8db","source":{"kind":"arxiv","id":"2608.02408","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.02408","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"2608.02408v1","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02408","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"VYKPV6DMVGTX","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_16","alias_value":"VYKPV6DMVGTXBYUQ","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_8","alias_value":"VYKPV6DM","created_at":"2026-08-04T02:12:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VYKPV6DMVGTXBYUQMYQWSHFXYC","target":"record","payload":{"canonical_record":{"source":{"id":"2608.02408","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T15:49:50Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"406dbaf80908a5964a537a659af5db0a3f23943b321c1f45fc566ba4b1011214","abstract_canon_sha256":"745037c7b36bbadf65c842d718ffe7f614d1c9f1750d66941704c6db3e57598d"},"schema_version":"1.0"},"canonical_sha256":"ae14faf86ca9a770e2906621691cb7c0886fd861fa6f9a59b3be88ba99e3a8db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:12:09.795043Z","signature_b64":"oeMOeKf9yR6LxGq9PriqL0N4jnE1Vj76Ka/Utb+SAQTuW8J+4Uwccp7ofpnW4WI37ZunFlopBcs+SXcsYq84Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae14faf86ca9a770e2906621691cb7c0886fd861fa6f9a59b3be88ba99e3a8db","last_reissued_at":"2026-08-04T02:12:09.793493Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:12:09.793493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.02408","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":"2026-08-04T02:12:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8aoNgNiMDpQ3bzkS6QvMdwGRVulWG3l72JUmF1Wd+qJmqhgN151MwXyk7XSGjxg56GpKFCUiD1vecnVF9sKMBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T09:01:49.650151Z"},"content_sha256":"40403124ffe786dc41485ed56c6b360dcbada149fb609a89ac47d9ab0e0b1bd8","schema_version":"1.0","event_id":"sha256:40403124ffe786dc41485ed56c6b360dcbada149fb609a89ac47d9ab0e0b1bd8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VYKPV6DMVGTXBYUQMYQWSHFXYC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning-Based Estimation of Ground Reaction Forces in Parkinsonian Gait Using an Optimized Set of IMU Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Dominic J. Farris, Dongfei Huo, Dong Wang, Helen Dawes, Jiawen Xu, Lefan Wang, Run Lin, Xijin Hua, Yingtian Tang","submitted_at":"2026-08-03T15:49:50Z","abstract_excerpt":"Accurate gait analysis in Parkinson's disease (PD) typically relies on laboratory-based systems to capture biomechanical data, such as ground reaction forces (GRFs). Estimating GRFs using inertial measurement units (IMUs) provides a feasible alternative. However, this approach remains challenging in pathological gait like PD due to its high variability and complexity. Moreover, existing monitoring approaches often require multiple body-mounted sensors, which limit practicality and reduce patient compliance. To date, no study has investigated the application of deep learning approaches to addre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02408","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/2608.02408/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":"2026-08-04T02:12:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GvfM4MnUkWvh5GlDUA0bjotJxjTsqvkwkS8iBpBvoXetujtW1K2+drsgNxGBoWI6pxRtmFG58OkmXaTprbIuCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T09:01:49.650777Z"},"content_sha256":"5e64c86ac9a8a4b698bf8c1acc06b612b8d33a418e56200e4ea8f2a70264ba15","schema_version":"1.0","event_id":"sha256:5e64c86ac9a8a4b698bf8c1acc06b612b8d33a418e56200e4ea8f2a70264ba15"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC/bundle.json","state_url":"https://pith.science/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC/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":"2026-08-18T09:01:49Z","links":{"resolver":"https://pith.science/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC","bundle":"https://pith.science/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC/bundle.json","state":"https://pith.science/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VYKPV6DMVGTXBYUQMYQWSHFXYC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VYKPV6DMVGTXBYUQMYQWSHFXYC","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":"745037c7b36bbadf65c842d718ffe7f614d1c9f1750d66941704c6db3e57598d","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T15:49:50Z","title_canon_sha256":"406dbaf80908a5964a537a659af5db0a3f23943b321c1f45fc566ba4b1011214"},"schema_version":"1.0","source":{"id":"2608.02408","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.02408","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"2608.02408v1","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02408","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"VYKPV6DMVGTX","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_16","alias_value":"VYKPV6DMVGTXBYUQ","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_8","alias_value":"VYKPV6DM","created_at":"2026-08-04T02:12:09Z"}],"graph_snapshots":[{"event_id":"sha256:5e64c86ac9a8a4b698bf8c1acc06b612b8d33a418e56200e4ea8f2a70264ba15","target":"graph","created_at":"2026-08-04T02:12:09Z","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/2608.02408/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate gait analysis in Parkinson's disease (PD) typically relies on laboratory-based systems to capture biomechanical data, such as ground reaction forces (GRFs). Estimating GRFs using inertial measurement units (IMUs) provides a feasible alternative. However, this approach remains challenging in pathological gait like PD due to its high variability and complexity. Moreover, existing monitoring approaches often require multiple body-mounted sensors, which limit practicality and reduce patient compliance. To date, no study has investigated the application of deep learning approaches to addre","authors_text":"Dominic J. Farris, Dongfei Huo, Dong Wang, Helen Dawes, Jiawen Xu, Lefan Wang, Run Lin, Xijin Hua, Yingtian Tang","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T15:49:50Z","title":"Deep Learning-Based Estimation of Ground Reaction Forces in Parkinsonian Gait Using an Optimized Set of IMU Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02408","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":"sha256:40403124ffe786dc41485ed56c6b360dcbada149fb609a89ac47d9ab0e0b1bd8","target":"record","created_at":"2026-08-04T02:12:09Z","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":"745037c7b36bbadf65c842d718ffe7f614d1c9f1750d66941704c6db3e57598d","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T15:49:50Z","title_canon_sha256":"406dbaf80908a5964a537a659af5db0a3f23943b321c1f45fc566ba4b1011214"},"schema_version":"1.0","source":{"id":"2608.02408","kind":"arxiv","version":1}},"canonical_sha256":"ae14faf86ca9a770e2906621691cb7c0886fd861fa6f9a59b3be88ba99e3a8db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae14faf86ca9a770e2906621691cb7c0886fd861fa6f9a59b3be88ba99e3a8db","first_computed_at":"2026-08-04T02:12:09.793493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:12:09.793493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oeMOeKf9yR6LxGq9PriqL0N4jnE1Vj76Ka/Utb+SAQTuW8J+4Uwccp7ofpnW4WI37ZunFlopBcs+SXcsYq84Dg==","signature_status":"signed_v1","signed_at":"2026-08-04T02:12:09.795043Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.02408","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40403124ffe786dc41485ed56c6b360dcbada149fb609a89ac47d9ab0e0b1bd8","sha256:5e64c86ac9a8a4b698bf8c1acc06b612b8d33a418e56200e4ea8f2a70264ba15"],"state_sha256":"e4e8f055ad35c8224527d866792ef2d7b82ece7e670db9e440faccc5753344a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hctIygMZT+rgNf/l3/iN1K4rRyZD/jySteX7LagN6M+0nyDPIg15hJIgIWtyxfMf69Z3T+DULhf+Br3UESWuCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T09:01:49.655845Z","bundle_sha256":"505e8f003b2d2a4cb8d69e50d7812b4e9b2e867a7028b51e33ea9c6992566bbb"}}