{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:X7INK5A5U264KRV4ZDOLTUFVVG","short_pith_number":"pith:X7INK5A5","canonical_record":{"source":{"id":"2209.01932","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-09-05T12:22:21Z","cross_cats_sorted":[],"title_canon_sha256":"002f3578e06632272ef5210816f4c8c9236a6fffdc2e0436fd6b3211d0fe397c","abstract_canon_sha256":"41e60d97ecd7e29fe7c0c2c6eecc95d7160faaad96e153f82e32d3cf7f1e1579"},"schema_version":"1.0"},"canonical_sha256":"bfd0d5741da6bdc546bcc8dcb9d0b5a9a6208f619127b5629dad5f56f5327100","source":{"kind":"arxiv","id":"2209.01932","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.01932","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"arxiv_version","alias_value":"2209.01932v2","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01932","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"pith_short_12","alias_value":"X7INK5A5U264","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"pith_short_16","alias_value":"X7INK5A5U264KRV4","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"pith_short_8","alias_value":"X7INK5A5","created_at":"2026-07-05T08:33:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:X7INK5A5U264KRV4ZDOLTUFVVG","target":"record","payload":{"canonical_record":{"source":{"id":"2209.01932","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-09-05T12:22:21Z","cross_cats_sorted":[],"title_canon_sha256":"002f3578e06632272ef5210816f4c8c9236a6fffdc2e0436fd6b3211d0fe397c","abstract_canon_sha256":"41e60d97ecd7e29fe7c0c2c6eecc95d7160faaad96e153f82e32d3cf7f1e1579"},"schema_version":"1.0"},"canonical_sha256":"bfd0d5741da6bdc546bcc8dcb9d0b5a9a6208f619127b5629dad5f56f5327100","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:28.688203Z","signature_b64":"8slmo2wRmr9QlmI2y+B6JzSzqajtnWtf7rPY/xgjQGaJik0kvuTAYRYE+i6EAx4KPtn5/Hmq/QqEgC4VnGojAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bfd0d5741da6bdc546bcc8dcb9d0b5a9a6208f619127b5629dad5f56f5327100","last_reissued_at":"2026-07-05T08:33:28.687738Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:28.687738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.01932","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NTPQOBvFbxIjt1vPfRdGdq2oN+/cBS+h9Sq/3tmWR1zEeYnBhomxw2LmlKZCtpfcDitZss9Lbn1NX0wdD98PDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T02:44:24.813430Z"},"content_sha256":"723906cbfabac4ed25567a48eaee7dca88e8fcb157b9bfd3a8c4649b318900b0","schema_version":"1.0","event_id":"sha256:723906cbfabac4ed25567a48eaee7dca88e8fcb157b9bfd3a8c4649b318900b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:X7INK5A5U264KRV4ZDOLTUFVVG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Anant Jain, Lalan Kumar","submitted_at":"2022-09-05T12:22:21Z","abstract_excerpt":"Brain-computer interface (BCI) systems can be utilized for kinematics decoding from scalp brain activation to control rehabilitation or power-augmenting devices. In this study, the hand kinematics decoding for grasp and lift task is performed in three-dimensional (3D) space using scalp electroencephalogram (EEG) signals. Twelve subjects from the publicly available database WAY-EEG-GAL, has been utilized in this study. In particular, multi-layer perceptron (MLP) and convolutional neural network-long short-term memory (CNN-LSTM) based deep learning frameworks are proposed that utilize the motor-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01932","kind":"arxiv","version":2},"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/2209.01932/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":"2026-07-05T08:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CoIhTtrj/AfmYfIrU0Zj+Kj+ZRFKp2IuAB9ACcgjrelHriGFQXf+J6au2q+62ydSc0WsveaM63XDAmH2oKKBAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T02:44:24.813813Z"},"content_sha256":"93a063572c3584c85f100bbf645c191c93dd321abc573c3d7d7784200dde7d22","schema_version":"1.0","event_id":"sha256:93a063572c3584c85f100bbf645c191c93dd321abc573c3d7d7784200dde7d22"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X7INK5A5U264KRV4ZDOLTUFVVG/bundle.json","state_url":"https://pith.science/pith/X7INK5A5U264KRV4ZDOLTUFVVG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X7INK5A5U264KRV4ZDOLTUFVVG/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":"2026-07-08T02:44:24Z","links":{"resolver":"https://pith.science/pith/X7INK5A5U264KRV4ZDOLTUFVVG","bundle":"https://pith.science/pith/X7INK5A5U264KRV4ZDOLTUFVVG/bundle.json","state":"https://pith.science/pith/X7INK5A5U264KRV4ZDOLTUFVVG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X7INK5A5U264KRV4ZDOLTUFVVG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:X7INK5A5U264KRV4ZDOLTUFVVG","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":"41e60d97ecd7e29fe7c0c2c6eecc95d7160faaad96e153f82e32d3cf7f1e1579","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-09-05T12:22:21Z","title_canon_sha256":"002f3578e06632272ef5210816f4c8c9236a6fffdc2e0436fd6b3211d0fe397c"},"schema_version":"1.0","source":{"id":"2209.01932","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.01932","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"arxiv_version","alias_value":"2209.01932v2","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01932","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"pith_short_12","alias_value":"X7INK5A5U264","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"pith_short_16","alias_value":"X7INK5A5U264KRV4","created_at":"2026-07-05T08:33:28Z"},{"alias_kind":"pith_short_8","alias_value":"X7INK5A5","created_at":"2026-07-05T08:33:28Z"}],"graph_snapshots":[{"event_id":"sha256:93a063572c3584c85f100bbf645c191c93dd321abc573c3d7d7784200dde7d22","target":"graph","created_at":"2026-07-05T08:33:28Z","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/2209.01932/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Brain-computer interface (BCI) systems can be utilized for kinematics decoding from scalp brain activation to control rehabilitation or power-augmenting devices. In this study, the hand kinematics decoding for grasp and lift task is performed in three-dimensional (3D) space using scalp electroencephalogram (EEG) signals. Twelve subjects from the publicly available database WAY-EEG-GAL, has been utilized in this study. In particular, multi-layer perceptron (MLP) and convolutional neural network-long short-term memory (CNN-LSTM) based deep learning frameworks are proposed that utilize the motor-","authors_text":"Anant Jain, Lalan Kumar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-09-05T12:22:21Z","title":"Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01932","kind":"arxiv","version":2},"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":"sha256:723906cbfabac4ed25567a48eaee7dca88e8fcb157b9bfd3a8c4649b318900b0","target":"record","created_at":"2026-07-05T08:33:28Z","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":"41e60d97ecd7e29fe7c0c2c6eecc95d7160faaad96e153f82e32d3cf7f1e1579","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-09-05T12:22:21Z","title_canon_sha256":"002f3578e06632272ef5210816f4c8c9236a6fffdc2e0436fd6b3211d0fe397c"},"schema_version":"1.0","source":{"id":"2209.01932","kind":"arxiv","version":2}},"canonical_sha256":"bfd0d5741da6bdc546bcc8dcb9d0b5a9a6208f619127b5629dad5f56f5327100","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfd0d5741da6bdc546bcc8dcb9d0b5a9a6208f619127b5629dad5f56f5327100","first_computed_at":"2026-07-05T08:33:28.687738Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:28.687738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8slmo2wRmr9QlmI2y+B6JzSzqajtnWtf7rPY/xgjQGaJik0kvuTAYRYE+i6EAx4KPtn5/Hmq/QqEgC4VnGojAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:28.688203Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.01932","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:723906cbfabac4ed25567a48eaee7dca88e8fcb157b9bfd3a8c4649b318900b0","sha256:93a063572c3584c85f100bbf645c191c93dd321abc573c3d7d7784200dde7d22"],"state_sha256":"977549bb23e97b34b450e8e0b1f91f3d51f3b514fc864830a1e15943aa4cc948"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uuRRHcc5Kh3C6ku0m9kupUdAAhSoCDCNu6it+TKcddXvTxLz37X+Szh9IyiBDPv8PpnwSP5o/Ouif9pVruu5CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T02:44:24.815873Z","bundle_sha256":"8990c886010168d7e3b50acaab67337556e0137c4c5cf36b04af3105ac79c4f3"}}