{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:J2PRKL5U6CHYFFIXXUNKWQDPCG","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":"a661bc2f6eb3dcc5b78f239a2bf819995443c0b84555e7acf0f343c92fdaa260","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-12-27T03:27:56Z","title_canon_sha256":"c6f349a655086d26fef9ca0f5c8ff843404951d1ee52e70443f4a7f1cffadecf"},"schema_version":"1.0","source":{"id":"1901.00751","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.00751","created_at":"2026-05-17T23:56:57Z"},{"alias_kind":"arxiv_version","alias_value":"1901.00751v2","created_at":"2026-05-17T23:56:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00751","created_at":"2026-05-17T23:56:57Z"},{"alias_kind":"pith_short_12","alias_value":"J2PRKL5U6CHY","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J2PRKL5U6CHYFFIX","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J2PRKL5U","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:85240a91d388e5524f628b6772ba22c3766365ed5313166758875ffd789efc15","target":"graph","created_at":"2026-05-17T23:56:57Z","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"},"paper":{"abstract_excerpt":"This paper introduces a novel low-cost device prototype for the automatic diagnosis of diseases, utilizing inputted symptoms and personal background. The engineering goal is to solve the problem of limited healthcare access with a single device. Diagnosing diseases automatically is an immense challenge, owing to their variable properties and symptoms. On the other hand, Neural Networks have developed into a powerful tool in the field of machine learning, one that is showing to be extremely promising at computing diagnosis even with inconsistent variables.\n  In this research, a cheap device was","authors_text":"Neil Deshmukh","cross_cats":["cs.CV","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-12-27T03:27:56Z","title":"Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00751","kind":"arxiv","version":2},"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":"sha256:94e736a8f1878b80fd7257e7f09c16d104b808dc7d7e61a275f077107f0bebb1","target":"record","created_at":"2026-05-17T23:56:57Z","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":"a661bc2f6eb3dcc5b78f239a2bf819995443c0b84555e7acf0f343c92fdaa260","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-12-27T03:27:56Z","title_canon_sha256":"c6f349a655086d26fef9ca0f5c8ff843404951d1ee52e70443f4a7f1cffadecf"},"schema_version":"1.0","source":{"id":"1901.00751","kind":"arxiv","version":2}},"canonical_sha256":"4e9f152fb4f08f829517bd1aab406f1184e677507cdaef7f33c370f340c4bba6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e9f152fb4f08f829517bd1aab406f1184e677507cdaef7f33c370f340c4bba6","first_computed_at":"2026-05-17T23:56:57.875303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:57.875303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QE5XzAotV1sBWa3H4h/LhcP9icX85OTqm8h08XbZ8YdpYPmszg5May9TR/xNJyYvag+r4QEfH9Nfokg//mkEBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:57.876141Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.00751","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94e736a8f1878b80fd7257e7f09c16d104b808dc7d7e61a275f077107f0bebb1","sha256:85240a91d388e5524f628b6772ba22c3766365ed5313166758875ffd789efc15"],"state_sha256":"40610fc5a54e8a91a81dbe2d09f123303f6186e65a44c42ad53926985cfe2edd"}