{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:X4X6R67G7W3CSZWKWPYWTUGWZR","short_pith_number":"pith:X4X6R67G","schema_version":"1.0","canonical_sha256":"bf2fe8fbe6fdb62966cab3f169d0d6cc4baf45b505195c01d553d93273416725","source":{"kind":"arxiv","id":"2507.12263","version":1},"attestation_state":"computed","paper":{"title":"EEG-fused Digital Twin Brain for Autonomous Driving in Virtual Scenarios","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Jianfeng Feng, Taiping Zeng, Wenlian Lu, Yubo Hou, Zhengxin Zhang, Ziyi Wang","submitted_at":"2025-07-16T14:10:00Z","abstract_excerpt":"Current methodologies typically integrate biophysical brain models with functional magnetic resonance imaging(fMRI) data - while offering millimeter-scale spatial resolution (0.5-2 mm^3 voxels), these approaches suffer from limited temporal resolution (>0.5 Hz) for tracking rapid neural dynamics during continuous tasks. Conversely, Electroencephalogram (EEG) provides millisecond-scale temporal precision (<=1 ms sampling rate) for real-time guidance of continuous task execution, albeit constrained by low spatial resolution. To reconcile these complementary modalities, we present a generalizable"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.12263","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2025-07-16T14:10:00Z","cross_cats_sorted":[],"title_canon_sha256":"0a33c35b99aca54b3aa0f8527e391e8f02b22e81f53691d5daadcde520166523","abstract_canon_sha256":"64b3ed1956ff992d15ece8de4cb90abf035c7eebb5aad56b74a332ba58f1ee49"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:38:17.585575Z","signature_b64":"ZXZmckG35ZpJwjSeTEbm4rmhgeCWVs7Cu6cvEFBaNsIK5/3/5jFmbT78JVcoFkJR4OYvq4dPEDey1qjwjXOhCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bf2fe8fbe6fdb62966cab3f169d0d6cc4baf45b505195c01d553d93273416725","last_reissued_at":"2026-07-05T11:38:17.585061Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:38:17.585061Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EEG-fused Digital Twin Brain for Autonomous Driving in Virtual Scenarios","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Jianfeng Feng, Taiping Zeng, Wenlian Lu, Yubo Hou, Zhengxin Zhang, Ziyi Wang","submitted_at":"2025-07-16T14:10:00Z","abstract_excerpt":"Current methodologies typically integrate biophysical brain models with functional magnetic resonance imaging(fMRI) data - while offering millimeter-scale spatial resolution (0.5-2 mm^3 voxels), these approaches suffer from limited temporal resolution (>0.5 Hz) for tracking rapid neural dynamics during continuous tasks. Conversely, Electroencephalogram (EEG) provides millisecond-scale temporal precision (<=1 ms sampling rate) for real-time guidance of continuous task execution, albeit constrained by low spatial resolution. To reconcile these complementary modalities, we present a generalizable"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12263","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/2507.12263/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.12263","created_at":"2026-07-05T11:38:17.585120+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.12263v1","created_at":"2026-07-05T11:38:17.585120+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12263","created_at":"2026-07-05T11:38:17.585120+00:00"},{"alias_kind":"pith_short_12","alias_value":"X4X6R67G7W3C","created_at":"2026-07-05T11:38:17.585120+00:00"},{"alias_kind":"pith_short_16","alias_value":"X4X6R67G7W3CSZWK","created_at":"2026-07-05T11:38:17.585120+00:00"},{"alias_kind":"pith_short_8","alias_value":"X4X6R67G","created_at":"2026-07-05T11:38:17.585120+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR","json":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR.json","graph_json":"https://pith.science/api/pith-number/X4X6R67G7W3CSZWKWPYWTUGWZR/graph.json","events_json":"https://pith.science/api/pith-number/X4X6R67G7W3CSZWKWPYWTUGWZR/events.json","paper":"https://pith.science/paper/X4X6R67G"},"agent_actions":{"view_html":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR","download_json":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR.json","view_paper":"https://pith.science/paper/X4X6R67G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.12263&json=true","fetch_graph":"https://pith.science/api/pith-number/X4X6R67G7W3CSZWKWPYWTUGWZR/graph.json","fetch_events":"https://pith.science/api/pith-number/X4X6R67G7W3CSZWKWPYWTUGWZR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR/action/storage_attestation","attest_author":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR/action/author_attestation","sign_citation":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR/action/citation_signature","submit_replication":"https://pith.science/pith/X4X6R67G7W3CSZWKWPYWTUGWZR/action/replication_record"}},"created_at":"2026-07-05T11:38:17.585120+00:00","updated_at":"2026-07-05T11:38:17.585120+00:00"}