{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5RVEBKQX3QGY4XZX32D5GSJ3TR","short_pith_number":"pith:5RVEBKQX","canonical_record":{"source":{"id":"2506.10933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-12T17:40:20Z","cross_cats_sorted":[],"title_canon_sha256":"4d095f29a84b4187915a4b9a56bc7b23af1eb415c8acbf7141cfac8bb30c28c5","abstract_canon_sha256":"ed4f81a395847c52f599f37ccc7dae9f6eafc8e4243ded748c24e1e65c4d2e23"},"schema_version":"1.0"},"canonical_sha256":"ec6a40aa17dc0d8e5f37de87d3493b9c6cb150d1b4e0fc44bd9291b7ee6a4f5a","source":{"kind":"arxiv","id":"2506.10933","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10933","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10933v1","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10933","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"pith_short_12","alias_value":"5RVEBKQX3QGY","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"pith_short_16","alias_value":"5RVEBKQX3QGY4XZX","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"pith_short_8","alias_value":"5RVEBKQX","created_at":"2026-07-05T11:20:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5RVEBKQX3QGY4XZX32D5GSJ3TR","target":"record","payload":{"canonical_record":{"source":{"id":"2506.10933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-12T17:40:20Z","cross_cats_sorted":[],"title_canon_sha256":"4d095f29a84b4187915a4b9a56bc7b23af1eb415c8acbf7141cfac8bb30c28c5","abstract_canon_sha256":"ed4f81a395847c52f599f37ccc7dae9f6eafc8e4243ded748c24e1e65c4d2e23"},"schema_version":"1.0"},"canonical_sha256":"ec6a40aa17dc0d8e5f37de87d3493b9c6cb150d1b4e0fc44bd9291b7ee6a4f5a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:57.102264Z","signature_b64":"9tlDt8HPfOqZ1Xc1wNKeQhIoznoMksOjJ+NoZcq3cTDQVgrCYqbKLTBytzFeeaeCaal7Vq5r5HezAW2Lw/dICQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec6a40aa17dc0d8e5f37de87d3493b9c6cb150d1b4e0fc44bd9291b7ee6a4f5a","last_reissued_at":"2026-07-05T11:20:57.101759Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:57.101759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.10933","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":"2026-07-05T11:20:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BHFc/phjme5cWgopkcH/PAtaDdA6ueUdfuBi5OV9228VzP9VrXujwvOsRd0+e+bYPLg1Dru9h/8hH39a4fQiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T14:52:49.340299Z"},"content_sha256":"d94d88fe456ce8ba855e7d3150ca274722a6cd776f3075adb8d2f76d2723c68d","schema_version":"1.0","event_id":"sha256:d94d88fe456ce8ba855e7d3150ca274722a6cd776f3075adb8d2f76d2723c68d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5RVEBKQX3QGY4XZX32D5GSJ3TR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Alexander Lanzon, Sheng Quan Xie, William P. Heath, Yue Zhang, Zhenhong Li, Zhiqiang Zhang, Ziwen Wang","submitted_at":"2025-06-12T17:40:20Z","abstract_excerpt":"Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can achieve high recognition accuracy with sufficient training data. Transfer learning presents a promising solution to alleviate data requirements for the target subject by leveraging data from source subjects; however, effectively addressing individual variability among both target and source subjects remains a challenge. This paper proposes a novel transfer learning framework, termed instance-based task-related component analysis (iTRCA), which leverages knowledge from source subjects while considering their"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10933","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/2506.10933/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":"2026-07-05T11:20:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ve9r7PLZJ1Y/TDWG+naEkhWI7uu4Iaw5ozNGBuHMPBujiE4U35gHn+AU9N62sLP3+P4AehksfLc5LpMgOQKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T14:52:49.343428Z"},"content_sha256":"2f82cc8b4b505544f0afea7983b841d80b60cafd8735b581da03d8dec1444dfa","schema_version":"1.0","event_id":"sha256:2f82cc8b4b505544f0afea7983b841d80b60cafd8735b581da03d8dec1444dfa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR/bundle.json","state_url":"https://pith.science/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR/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":"2026-08-13T14:52:49Z","links":{"resolver":"https://pith.science/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR","bundle":"https://pith.science/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR/bundle.json","state":"https://pith.science/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5RVEBKQX3QGY4XZX32D5GSJ3TR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5RVEBKQX3QGY4XZX32D5GSJ3TR","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":"ed4f81a395847c52f599f37ccc7dae9f6eafc8e4243ded748c24e1e65c4d2e23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-12T17:40:20Z","title_canon_sha256":"4d095f29a84b4187915a4b9a56bc7b23af1eb415c8acbf7141cfac8bb30c28c5"},"schema_version":"1.0","source":{"id":"2506.10933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10933","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10933v1","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10933","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"pith_short_12","alias_value":"5RVEBKQX3QGY","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"pith_short_16","alias_value":"5RVEBKQX3QGY4XZX","created_at":"2026-07-05T11:20:57Z"},{"alias_kind":"pith_short_8","alias_value":"5RVEBKQX","created_at":"2026-07-05T11:20:57Z"}],"graph_snapshots":[{"event_id":"sha256:2f82cc8b4b505544f0afea7983b841d80b60cafd8735b581da03d8dec1444dfa","target":"graph","created_at":"2026-07-05T11:20:57Z","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/2506.10933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can achieve high recognition accuracy with sufficient training data. Transfer learning presents a promising solution to alleviate data requirements for the target subject by leveraging data from source subjects; however, effectively addressing individual variability among both target and source subjects remains a challenge. This paper proposes a novel transfer learning framework, termed instance-based task-related component analysis (iTRCA), which leverages knowledge from source subjects while considering their","authors_text":"Alexander Lanzon, Sheng Quan Xie, William P. Heath, Yue Zhang, Zhenhong Li, Zhiqiang Zhang, Ziwen Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-12T17:40:20Z","title":"Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10933","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:d94d88fe456ce8ba855e7d3150ca274722a6cd776f3075adb8d2f76d2723c68d","target":"record","created_at":"2026-07-05T11:20:57Z","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":"ed4f81a395847c52f599f37ccc7dae9f6eafc8e4243ded748c24e1e65c4d2e23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-12T17:40:20Z","title_canon_sha256":"4d095f29a84b4187915a4b9a56bc7b23af1eb415c8acbf7141cfac8bb30c28c5"},"schema_version":"1.0","source":{"id":"2506.10933","kind":"arxiv","version":1}},"canonical_sha256":"ec6a40aa17dc0d8e5f37de87d3493b9c6cb150d1b4e0fc44bd9291b7ee6a4f5a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec6a40aa17dc0d8e5f37de87d3493b9c6cb150d1b4e0fc44bd9291b7ee6a4f5a","first_computed_at":"2026-07-05T11:20:57.101759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:57.101759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9tlDt8HPfOqZ1Xc1wNKeQhIoznoMksOjJ+NoZcq3cTDQVgrCYqbKLTBytzFeeaeCaal7Vq5r5HezAW2Lw/dICQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:57.102264Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.10933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d94d88fe456ce8ba855e7d3150ca274722a6cd776f3075adb8d2f76d2723c68d","sha256:2f82cc8b4b505544f0afea7983b841d80b60cafd8735b581da03d8dec1444dfa"],"state_sha256":"9faf281ebc9911be8a5377a0a6f0e9f3945aab85a9503927787cc97b7b42dbad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ojJ/pvl6X25keXIkC8Gy8aWqEqxfp+0Rx7VYGXt+dCjjTsmD0lx2rhz5bjrfaAHXSTmmpwHNeU9opoK0cC+aDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T14:52:49.384373Z","bundle_sha256":"976d8326cca5491b3cd3293e36c719eb2eb6119f6551b28f1e40ebbce70e5a4a"}}