{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NLWICSF5BEY3XX5XIHBNTM57QU","short_pith_number":"pith:NLWICSF5","canonical_record":{"source":{"id":"2308.01930","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-02T14:10:03Z","cross_cats_sorted":["cs.AI","eess.SP"],"title_canon_sha256":"3b22ffd9b892b3a283927e0234b50d802a8836a4a414d7c34313f034df2f0273","abstract_canon_sha256":"acc1d6374f30925612c673aa0b7b461c82786f8699696bf846adfb76ba9ca705"},"schema_version":"1.0"},"canonical_sha256":"6aec8148bd0931bbdfb741c2d9b3bf85271d54534fd62b68da3fecb2f37efebe","source":{"kind":"arxiv","id":"2308.01930","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.01930","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"arxiv_version","alias_value":"2308.01930v1","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.01930","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"pith_short_12","alias_value":"NLWICSF5BEY3","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"pith_short_16","alias_value":"NLWICSF5BEY3XX5X","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"pith_short_8","alias_value":"NLWICSF5","created_at":"2026-07-05T06:37:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NLWICSF5BEY3XX5XIHBNTM57QU","target":"record","payload":{"canonical_record":{"source":{"id":"2308.01930","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-02T14:10:03Z","cross_cats_sorted":["cs.AI","eess.SP"],"title_canon_sha256":"3b22ffd9b892b3a283927e0234b50d802a8836a4a414d7c34313f034df2f0273","abstract_canon_sha256":"acc1d6374f30925612c673aa0b7b461c82786f8699696bf846adfb76ba9ca705"},"schema_version":"1.0"},"canonical_sha256":"6aec8148bd0931bbdfb741c2d9b3bf85271d54534fd62b68da3fecb2f37efebe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:37:35.209771Z","signature_b64":"G6w5NqgegW3Wq4taDTKZycy1Iv2+6vNVPig+6zGF9J0k/KhvbpT/I0bXARBtGEPUT83w45OLFr6JoTbA03RmCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6aec8148bd0931bbdfb741c2d9b3bf85271d54534fd62b68da3fecb2f37efebe","last_reissued_at":"2026-07-05T06:37:35.209304Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:37:35.209304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.01930","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:37:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m6dkSmwl6Owzf3EeNbpBTmtQbEfphoniPpwvFcY94bzVBSaLeuZ+21nJHP318qo3dN18Xueo57ruZOlxqTlfCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:43:05.278707Z"},"content_sha256":"1e55624afabb2e441c41feb46e1ad4545c4cea536ebd63007e978102c975baab","schema_version":"1.0","event_id":"sha256:1e55624afabb2e441c41feb46e1ad4545c4cea536ebd63007e978102c975baab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NLWICSF5BEY3XX5XIHBNTM57QU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Diego A. C. Cardenas, Douglas A. Almeida, Estela Ribeiro, Felipe M. Dias, Filipe A. C. Oliveira, Jose E. Krieger, Marcelo A. F. Toledo, Marco A. Gutierrez","submitted_at":"2023-08-02T14:10:03Z","abstract_excerpt":"Diabetes is a prevalent chronic condition that compromises the health of millions of people worldwide. Minimally invasive methods are needed to prevent and control diabetes but most devices for measuring glucose levels are invasive and not amenable for continuous monitoring. Here, we present an alternative method to overcome these shortcomings based on non-invasive optical photoplethysmography (PPG) for detecting diabetes. We classify non-Diabetic and Diabetic patients using the PPG signal and metadata for training Logistic Regression (LR) and eXtreme Gradient Boosting (XGBoost) algorithms. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.01930","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/2308.01930/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:37:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e7J8FBZQegC15k/t7bBkxaTPXzv0l0jtpzWuUqyNTUtLcExcLF164mzacyxd2n/+sSDoDKe840dDN+Y5MD2QCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:43:05.279333Z"},"content_sha256":"3cc79eef0a097b6f46f3bdc775cf3f6881880672d5e4ad3debb0cc12ffc8cbd9","schema_version":"1.0","event_id":"sha256:3cc79eef0a097b6f46f3bdc775cf3f6881880672d5e4ad3debb0cc12ffc8cbd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NLWICSF5BEY3XX5XIHBNTM57QU/bundle.json","state_url":"https://pith.science/pith/NLWICSF5BEY3XX5XIHBNTM57QU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NLWICSF5BEY3XX5XIHBNTM57QU/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":"2026-08-13T10:43:05Z","links":{"resolver":"https://pith.science/pith/NLWICSF5BEY3XX5XIHBNTM57QU","bundle":"https://pith.science/pith/NLWICSF5BEY3XX5XIHBNTM57QU/bundle.json","state":"https://pith.science/pith/NLWICSF5BEY3XX5XIHBNTM57QU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NLWICSF5BEY3XX5XIHBNTM57QU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NLWICSF5BEY3XX5XIHBNTM57QU","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":"acc1d6374f30925612c673aa0b7b461c82786f8699696bf846adfb76ba9ca705","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-02T14:10:03Z","title_canon_sha256":"3b22ffd9b892b3a283927e0234b50d802a8836a4a414d7c34313f034df2f0273"},"schema_version":"1.0","source":{"id":"2308.01930","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.01930","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"arxiv_version","alias_value":"2308.01930v1","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.01930","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"pith_short_12","alias_value":"NLWICSF5BEY3","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"pith_short_16","alias_value":"NLWICSF5BEY3XX5X","created_at":"2026-07-05T06:37:35Z"},{"alias_kind":"pith_short_8","alias_value":"NLWICSF5","created_at":"2026-07-05T06:37:35Z"}],"graph_snapshots":[{"event_id":"sha256:3cc79eef0a097b6f46f3bdc775cf3f6881880672d5e4ad3debb0cc12ffc8cbd9","target":"graph","created_at":"2026-07-05T06:37:35Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.01930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diabetes is a prevalent chronic condition that compromises the health of millions of people worldwide. Minimally invasive methods are needed to prevent and control diabetes but most devices for measuring glucose levels are invasive and not amenable for continuous monitoring. Here, we present an alternative method to overcome these shortcomings based on non-invasive optical photoplethysmography (PPG) for detecting diabetes. We classify non-Diabetic and Diabetic patients using the PPG signal and metadata for training Logistic Regression (LR) and eXtreme Gradient Boosting (XGBoost) algorithms. We","authors_text":"Diego A. C. Cardenas, Douglas A. Almeida, Estela Ribeiro, Felipe M. Dias, Filipe A. C. Oliveira, Jose E. Krieger, Marcelo A. F. Toledo, Marco A. Gutierrez","cross_cats":["cs.AI","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-02T14:10:03Z","title":"Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.01930","kind":"arxiv","version":1},"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":"sha256:1e55624afabb2e441c41feb46e1ad4545c4cea536ebd63007e978102c975baab","target":"record","created_at":"2026-07-05T06:37:35Z","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":"acc1d6374f30925612c673aa0b7b461c82786f8699696bf846adfb76ba9ca705","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-02T14:10:03Z","title_canon_sha256":"3b22ffd9b892b3a283927e0234b50d802a8836a4a414d7c34313f034df2f0273"},"schema_version":"1.0","source":{"id":"2308.01930","kind":"arxiv","version":1}},"canonical_sha256":"6aec8148bd0931bbdfb741c2d9b3bf85271d54534fd62b68da3fecb2f37efebe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6aec8148bd0931bbdfb741c2d9b3bf85271d54534fd62b68da3fecb2f37efebe","first_computed_at":"2026-07-05T06:37:35.209304Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:37:35.209304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G6w5NqgegW3Wq4taDTKZycy1Iv2+6vNVPig+6zGF9J0k/KhvbpT/I0bXARBtGEPUT83w45OLFr6JoTbA03RmCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:37:35.209771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.01930","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e55624afabb2e441c41feb46e1ad4545c4cea536ebd63007e978102c975baab","sha256:3cc79eef0a097b6f46f3bdc775cf3f6881880672d5e4ad3debb0cc12ffc8cbd9"],"state_sha256":"fb982befb6021f0fa98569c2e2b1a2323203e0f29c60820444aaa28bfa1996f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c35PPQEPay28EaMyPU/dwThcu5tPr/7rCz13XXOqp9q7ti2GmTouZZlrPZfedNxZdb1Cx0jSpAY4st8/6jLJDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T10:43:05.292941Z","bundle_sha256":"ddaaa566b6cfb8a407c8035ba35438ded1ca5ab3bc784cf51d8c4a4b523c8a29"}}