{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4QX5VHT7RQTUNFSJFIVOVQRKQ7","short_pith_number":"pith:4QX5VHT7","schema_version":"1.0","canonical_sha256":"e42fda9e7f8c274696492a2aeac22a87f5420386d452649c8920847ffde6b7b6","source":{"kind":"arxiv","id":"2606.09681","version":1},"attestation_state":"computed","paper":{"title":"GenEyePose: Patient-Free, Knowledge-Based Saccadic Eye Movement Modeling for Digital Neurophysiologic Biomarker Development","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aimon Rahman, Carl Harris, Casey Taylor, Ishan Vatsaraj, Jooyoung Ryu, Joseph Greenstein, Kemar E. Green, Nidhi Soley, Puvada Sreevarsha, Rahul Srinivasaragavan, Riya Satavlekar, Susan Kim, Tianyu Lin, Vishal Patel, Yujie Yan","submitted_at":"2026-06-08T16:01:27Z","abstract_excerpt":"Eye movements, including saccades, are widely regarded as highly sensitive and objective biomarkers of neurophysiologic states. Detecting saccadic signatures in neurologic diseases offers a rapid, portable alternative to brain imaging, avoiding access and cost barriers. Currently, there are no robust AI-enabled video-oculographic solutions (e.g., digital biomarkers) for screening, triaging, or localizing brain abnormalities due to privacy issues and scarce datasets. In this work, we propose the first fully synthetic, patient-free, multimodal eye movement generation pipeline for generalizable s"},"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":"2606.09681","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T16:01:27Z","cross_cats_sorted":[],"title_canon_sha256":"d09a979bb150ed419e5fb4245e82f01a2e60c592b02d3edba123d609975e5608","abstract_canon_sha256":"d4a3431ee7384404f1d455eb11df922159132fcf207ee68dd38108e24a6c7cab"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:09:03.656121Z","signature_b64":"xBy/cX2nExBq8/ETnDCS4AS4fz+IdFEedg0ssPi0gwb+Nm3D9T4vlmCMN55dZrIP9yfmef07YK4EbmBU0qQgBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e42fda9e7f8c274696492a2aeac22a87f5420386d452649c8920847ffde6b7b6","last_reissued_at":"2026-06-09T02:09:03.655241Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:09:03.655241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GenEyePose: Patient-Free, Knowledge-Based Saccadic Eye Movement Modeling for Digital Neurophysiologic Biomarker Development","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aimon Rahman, Carl Harris, Casey Taylor, Ishan Vatsaraj, Jooyoung Ryu, Joseph Greenstein, Kemar E. Green, Nidhi Soley, Puvada Sreevarsha, Rahul Srinivasaragavan, Riya Satavlekar, Susan Kim, Tianyu Lin, Vishal Patel, Yujie Yan","submitted_at":"2026-06-08T16:01:27Z","abstract_excerpt":"Eye movements, including saccades, are widely regarded as highly sensitive and objective biomarkers of neurophysiologic states. Detecting saccadic signatures in neurologic diseases offers a rapid, portable alternative to brain imaging, avoiding access and cost barriers. Currently, there are no robust AI-enabled video-oculographic solutions (e.g., digital biomarkers) for screening, triaging, or localizing brain abnormalities due to privacy issues and scarce datasets. In this work, we propose the first fully synthetic, patient-free, multimodal eye movement generation pipeline for generalizable s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09681","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/2606.09681/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":"2606.09681","created_at":"2026-06-09T02:09:03.655381+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.09681v1","created_at":"2026-06-09T02:09:03.655381+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09681","created_at":"2026-06-09T02:09:03.655381+00:00"},{"alias_kind":"pith_short_12","alias_value":"4QX5VHT7RQTU","created_at":"2026-06-09T02:09:03.655381+00:00"},{"alias_kind":"pith_short_16","alias_value":"4QX5VHT7RQTUNFSJ","created_at":"2026-06-09T02:09:03.655381+00:00"},{"alias_kind":"pith_short_8","alias_value":"4QX5VHT7","created_at":"2026-06-09T02:09:03.655381+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/4QX5VHT7RQTUNFSJFIVOVQRKQ7","json":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7.json","graph_json":"https://pith.science/api/pith-number/4QX5VHT7RQTUNFSJFIVOVQRKQ7/graph.json","events_json":"https://pith.science/api/pith-number/4QX5VHT7RQTUNFSJFIVOVQRKQ7/events.json","paper":"https://pith.science/paper/4QX5VHT7"},"agent_actions":{"view_html":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7","download_json":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7.json","view_paper":"https://pith.science/paper/4QX5VHT7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.09681&json=true","fetch_graph":"https://pith.science/api/pith-number/4QX5VHT7RQTUNFSJFIVOVQRKQ7/graph.json","fetch_events":"https://pith.science/api/pith-number/4QX5VHT7RQTUNFSJFIVOVQRKQ7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7/action/storage_attestation","attest_author":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7/action/author_attestation","sign_citation":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7/action/citation_signature","submit_replication":"https://pith.science/pith/4QX5VHT7RQTUNFSJFIVOVQRKQ7/action/replication_record"}},"created_at":"2026-06-09T02:09:03.655381+00:00","updated_at":"2026-06-09T02:09:03.655381+00:00"}