{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CN2YSKGII2333FGAPHIBX5BRUS","short_pith_number":"pith:CN2YSKGI","schema_version":"1.0","canonical_sha256":"13758928c846b7bd94c079d01bf431a4bef274d84074ea6b385fe6665e8c776a","source":{"kind":"arxiv","id":"1804.00970","version":1},"attestation_state":"computed","paper":{"title":"Eye movement simulation and detector creation to reduce laborious parameter adjustments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"q-bio.NC","authors_text":"Enkelejda Kasneci, Nora Castner, Thiago Santini, Thomas Kuebler, Wolfgang Fuhl, Wolfgang Rosenstiel","submitted_at":"2018-03-28T06:48:37Z","abstract_excerpt":"Eye movements hold information about human perception, intention and cognitive state. Various algorithms have been proposed to identify and distinguish eye movements, particularly fixations, saccades, and smooth pursuits. A major drawback of existing algorithms is that they rely on accurate and constant sampling rates, impeding straightforward adaptation to new movements such as micro saccades. We propose a novel eye movement simulator that i) probabilistically simulates saccade movements as gamma distributions considering different peak velocities and ii) models smooth pursuit onsets with the"},"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":"1804.00970","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2018-03-28T06:48:37Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"af0d1eeaf5a076dbbe89f3dfa64255c0899ef5cb706cb68da6ac9256126e3221","abstract_canon_sha256":"e3d9c6d1646b72f5dbbfc2d582da3373796d433a503a5beb41b2e0b32086f92c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:31.665799Z","signature_b64":"XZ6j50dQC7NkJs6j1F+j98Yl8sdiA3Ljy/aj5wtrOpytSBEdZw1cRio4V471PKHrH1Yy/XxHL2J5SJUX290iAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13758928c846b7bd94c079d01bf431a4bef274d84074ea6b385fe6665e8c776a","last_reissued_at":"2026-05-18T00:19:31.665370Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:31.665370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Eye movement simulation and detector creation to reduce laborious parameter adjustments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"q-bio.NC","authors_text":"Enkelejda Kasneci, Nora Castner, Thiago Santini, Thomas Kuebler, Wolfgang Fuhl, Wolfgang Rosenstiel","submitted_at":"2018-03-28T06:48:37Z","abstract_excerpt":"Eye movements hold information about human perception, intention and cognitive state. Various algorithms have been proposed to identify and distinguish eye movements, particularly fixations, saccades, and smooth pursuits. A major drawback of existing algorithms is that they rely on accurate and constant sampling rates, impeding straightforward adaptation to new movements such as micro saccades. We propose a novel eye movement simulator that i) probabilistically simulates saccade movements as gamma distributions considering different peak velocities and ii) models smooth pursuit onsets with the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00970","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":""},"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":"1804.00970","created_at":"2026-05-18T00:19:31.665445+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.00970v1","created_at":"2026-05-18T00:19:31.665445+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00970","created_at":"2026-05-18T00:19:31.665445+00:00"},{"alias_kind":"pith_short_12","alias_value":"CN2YSKGII233","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_16","alias_value":"CN2YSKGII2333FGA","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_8","alias_value":"CN2YSKGI","created_at":"2026-05-18T12:32:16.446611+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/CN2YSKGII2333FGAPHIBX5BRUS","json":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS.json","graph_json":"https://pith.science/api/pith-number/CN2YSKGII2333FGAPHIBX5BRUS/graph.json","events_json":"https://pith.science/api/pith-number/CN2YSKGII2333FGAPHIBX5BRUS/events.json","paper":"https://pith.science/paper/CN2YSKGI"},"agent_actions":{"view_html":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS","download_json":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS.json","view_paper":"https://pith.science/paper/CN2YSKGI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.00970&json=true","fetch_graph":"https://pith.science/api/pith-number/CN2YSKGII2333FGAPHIBX5BRUS/graph.json","fetch_events":"https://pith.science/api/pith-number/CN2YSKGII2333FGAPHIBX5BRUS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS/action/storage_attestation","attest_author":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS/action/author_attestation","sign_citation":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS/action/citation_signature","submit_replication":"https://pith.science/pith/CN2YSKGII2333FGAPHIBX5BRUS/action/replication_record"}},"created_at":"2026-05-18T00:19:31.665445+00:00","updated_at":"2026-05-18T00:19:31.665445+00:00"}