{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BA6QPR7AMT35UR5NZLJIITDG6M","short_pith_number":"pith:BA6QPR7A","canonical_record":{"source":{"id":"1702.00837","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-02-02T21:47:02Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"99e11221d79d9cd43f401e0b53e00b386c0445a158fd11febb97bc0c3bae3b34","abstract_canon_sha256":"bad463fbd0592e41660ab12f8eb776c194929dbc5d3df48944057919832f2e84"},"schema_version":"1.0"},"canonical_sha256":"083d07c7e064f7da47adcad2844c66f339a01758ef2b96a701bb0ee248fadaa6","source":{"kind":"arxiv","id":"1702.00837","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.00837","created_at":"2026-05-18T00:26:08Z"},{"alias_kind":"arxiv_version","alias_value":"1702.00837v3","created_at":"2026-05-18T00:26:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00837","created_at":"2026-05-18T00:26:08Z"},{"alias_kind":"pith_short_12","alias_value":"BA6QPR7AMT35","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BA6QPR7AMT35UR5N","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BA6QPR7A","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BA6QPR7AMT35UR5NZLJIITDG6M","target":"record","payload":{"canonical_record":{"source":{"id":"1702.00837","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-02-02T21:47:02Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"99e11221d79d9cd43f401e0b53e00b386c0445a158fd11febb97bc0c3bae3b34","abstract_canon_sha256":"bad463fbd0592e41660ab12f8eb776c194929dbc5d3df48944057919832f2e84"},"schema_version":"1.0"},"canonical_sha256":"083d07c7e064f7da47adcad2844c66f339a01758ef2b96a701bb0ee248fadaa6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:08.371133Z","signature_b64":"gPR1EiIqCf6AwtUCtO4HXcPzRvESdWXDa+UT7lukllB29j9e1wrXNQEHo4m6D+deopPwxTXNy6xpbr4HRVcwDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"083d07c7e064f7da47adcad2844c66f339a01758ef2b96a701bb0ee248fadaa6","last_reissued_at":"2026-05-18T00:26:08.370481Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:08.370481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.00837","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:26:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y7KVzwxa01kt+xK5s03O5uZVsMa/AZHgNX6o4dEoJJ7uaAXBfNz8NBVDPbTsXIn9FaoERWVUV6j8ALK95+g2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T19:22:34.094679Z"},"content_sha256":"92d96a99764ef0f7990ed8f0fbcefba3428055f5fa0c4dc3f55c9f4e9f393a4a","schema_version":"1.0","event_id":"sha256:92d96a99764ef0f7990ed8f0fbcefba3428055f5fa0c4dc3f55c9f4e9f393a4a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BA6QPR7AMT35UR5NZLJIITDG6M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Eye-Movement behavior identification for AD diagnosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.NE","authors_text":"Gerardo Fernandez, Juan Biondi, Osvaldo Agamennoni, Silvia Castro","submitted_at":"2017-02-02T21:47:02Z","abstract_excerpt":"In the present work, we develop a deep-learning approach for differentiating the eye-movement behavior of people with neurodegenerative diseases over healthy control subjects during reading well-defined sentences. We define an information compaction of the eye-tracking data of subjects without and with probable Alzheimer's disease when reading a set of well-defined, previously validated, sentences including high-, low-predictable sentences, and proverbs. Using this information we train a set of denoising sparse-autoencoders and build a deep neural network with these and a softmax classifier. O"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00837","kind":"arxiv","version":3},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:26:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUf/6QhoilPSGNM7AHy277ksx/j+cdZPB6DsKjTyVdumu+SLa8CLy/mv+lTZplYfFLNb7XnRlUhvk9yfHp4jDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T19:22:34.095029Z"},"content_sha256":"af5cc74d60a485e56b0b0ff64f2e2c6cb0a5f34bd27766d6a5e1c6b2d7fa1819","schema_version":"1.0","event_id":"sha256:af5cc74d60a485e56b0b0ff64f2e2c6cb0a5f34bd27766d6a5e1c6b2d7fa1819"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BA6QPR7AMT35UR5NZLJIITDG6M/bundle.json","state_url":"https://pith.science/pith/BA6QPR7AMT35UR5NZLJIITDG6M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BA6QPR7AMT35UR5NZLJIITDG6M/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":"2026-06-24T19:22:34Z","links":{"resolver":"https://pith.science/pith/BA6QPR7AMT35UR5NZLJIITDG6M","bundle":"https://pith.science/pith/BA6QPR7AMT35UR5NZLJIITDG6M/bundle.json","state":"https://pith.science/pith/BA6QPR7AMT35UR5NZLJIITDG6M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BA6QPR7AMT35UR5NZLJIITDG6M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BA6QPR7AMT35UR5NZLJIITDG6M","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":"bad463fbd0592e41660ab12f8eb776c194929dbc5d3df48944057919832f2e84","cross_cats_sorted":["q-bio.NC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-02-02T21:47:02Z","title_canon_sha256":"99e11221d79d9cd43f401e0b53e00b386c0445a158fd11febb97bc0c3bae3b34"},"schema_version":"1.0","source":{"id":"1702.00837","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.00837","created_at":"2026-05-18T00:26:08Z"},{"alias_kind":"arxiv_version","alias_value":"1702.00837v3","created_at":"2026-05-18T00:26:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00837","created_at":"2026-05-18T00:26:08Z"},{"alias_kind":"pith_short_12","alias_value":"BA6QPR7AMT35","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BA6QPR7AMT35UR5N","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BA6QPR7A","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:af5cc74d60a485e56b0b0ff64f2e2c6cb0a5f34bd27766d6a5e1c6b2d7fa1819","target":"graph","created_at":"2026-05-18T00:26:08Z","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"},"paper":{"abstract_excerpt":"In the present work, we develop a deep-learning approach for differentiating the eye-movement behavior of people with neurodegenerative diseases over healthy control subjects during reading well-defined sentences. We define an information compaction of the eye-tracking data of subjects without and with probable Alzheimer's disease when reading a set of well-defined, previously validated, sentences including high-, low-predictable sentences, and proverbs. Using this information we train a set of denoising sparse-autoencoders and build a deep neural network with these and a softmax classifier. O","authors_text":"Gerardo Fernandez, Juan Biondi, Osvaldo Agamennoni, Silvia Castro","cross_cats":["q-bio.NC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-02-02T21:47:02Z","title":"Eye-Movement behavior identification for AD diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00837","kind":"arxiv","version":3},"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":"sha256:92d96a99764ef0f7990ed8f0fbcefba3428055f5fa0c4dc3f55c9f4e9f393a4a","target":"record","created_at":"2026-05-18T00:26:08Z","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":"bad463fbd0592e41660ab12f8eb776c194929dbc5d3df48944057919832f2e84","cross_cats_sorted":["q-bio.NC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-02-02T21:47:02Z","title_canon_sha256":"99e11221d79d9cd43f401e0b53e00b386c0445a158fd11febb97bc0c3bae3b34"},"schema_version":"1.0","source":{"id":"1702.00837","kind":"arxiv","version":3}},"canonical_sha256":"083d07c7e064f7da47adcad2844c66f339a01758ef2b96a701bb0ee248fadaa6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"083d07c7e064f7da47adcad2844c66f339a01758ef2b96a701bb0ee248fadaa6","first_computed_at":"2026-05-18T00:26:08.370481Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:08.370481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gPR1EiIqCf6AwtUCtO4HXcPzRvESdWXDa+UT7lukllB29j9e1wrXNQEHo4m6D+deopPwxTXNy6xpbr4HRVcwDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:08.371133Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.00837","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:92d96a99764ef0f7990ed8f0fbcefba3428055f5fa0c4dc3f55c9f4e9f393a4a","sha256:af5cc74d60a485e56b0b0ff64f2e2c6cb0a5f34bd27766d6a5e1c6b2d7fa1819"],"state_sha256":"24e967dccdd9caae453b0c08bf9453ff07c4cf4e6f820765b9c115c259eaf99a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"js9E6SDx1S4hGmFQShk6ZxRnoOdgIiYzF/SUo1XYXiJNzJy9a//8Bn5b9hwSjWbCtII+sHbtukqpQ2LX1k6qAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T19:22:34.096997Z","bundle_sha256":"587bcb42a3edbc6fba548bdf8a39ec152516be6ac9897d9add3cac17c1a0525c"}}