{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:R4KKI3EEGMLSNGBZPFBOZ5OEPY","short_pith_number":"pith:R4KKI3EE","canonical_record":{"source":{"id":"2011.13916","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2020-11-27T18:58:05Z","cross_cats_sorted":[],"title_canon_sha256":"9f2fa71fdd5031b435bf48becadb914fb31f440d8bca2347a9b9c4a2c6272780","abstract_canon_sha256":"1592e6ebad459b023b1fe4b795fc1f2a17dcb9e34cda94eb1e96dd2b125848d5"},"schema_version":"1.0"},"canonical_sha256":"8f14a46c8433172698397942ecf5c47e2e09ddab5905436ccf61eb43fc75091f","source":{"kind":"arxiv","id":"2011.13916","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.13916","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"arxiv_version","alias_value":"2011.13916v4","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.13916","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"pith_short_12","alias_value":"R4KKI3EEGMLS","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"pith_short_16","alias_value":"R4KKI3EEGMLSNGBZ","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"pith_short_8","alias_value":"R4KKI3EE","created_at":"2026-07-05T02:36:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:R4KKI3EEGMLSNGBZPFBOZ5OEPY","target":"record","payload":{"canonical_record":{"source":{"id":"2011.13916","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2020-11-27T18:58:05Z","cross_cats_sorted":[],"title_canon_sha256":"9f2fa71fdd5031b435bf48becadb914fb31f440d8bca2347a9b9c4a2c6272780","abstract_canon_sha256":"1592e6ebad459b023b1fe4b795fc1f2a17dcb9e34cda94eb1e96dd2b125848d5"},"schema_version":"1.0"},"canonical_sha256":"8f14a46c8433172698397942ecf5c47e2e09ddab5905436ccf61eb43fc75091f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:36:03.729762Z","signature_b64":"aQZkPv4ofv/xYV4/uZRFQbQVzN4GvQB3txsUr3uSxcHDUwD5J2muoaOs/ZSIMD1OHEB80z9NBfVdPxoUukFRBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f14a46c8433172698397942ecf5c47e2e09ddab5905436ccf61eb43fc75091f","last_reissued_at":"2026-07-05T02:36:03.729208Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:36:03.729208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.13916","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:36:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uBYkSoEsuGIMBRfzTuN+2cxDlxYirKtMBPqiA8POPDs2goC1do1vrajPGQPIEN4BUaKjerGg7/Fr48bcAJltDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T04:10:47.457411Z"},"content_sha256":"28b83c3c4853f404eaa0af91fbb33799d1b00e35fdad46ffb5dcdac310b8f5d1","schema_version":"1.0","event_id":"sha256:28b83c3c4853f404eaa0af91fbb33799d1b00e35fdad46ffb5dcdac310b8f5d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:R4KKI3EEGMLSNGBZPFBOZ5OEPY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Representation for Connected Health: Semi-supervised Learning for Analysing the Risk of Urinary Tract Infections in People with Dementia","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Andreas Markides, David J. Sharp, Eyal Soreq, Helen Rostill, Honglin Li, Kirsten Jensen, Loren Cameron, Magdalena Anita Kolanko, Mark Kenny, Michael Crone, Paul Freemont, Payam Barnaghi, Ramin Nilforooshan, Samaneh Kouchaki, Severin Skillman, Shirin Enshaeifar","submitted_at":"2020-11-27T18:58:05Z","abstract_excerpt":"Machine learning techniques combined with in-home monitoring technologies provide a unique opportunity to automate diagnosis and early detection of adverse health conditions in long-term conditions such as dementia. However, accessing sufficient labelled training samples and integrating high-quality, routinely collected data from heterogeneous in-home monitoring technologies are main obstacles hindered utilising these technologies in real-world medicine. This work presents a semi-supervised model that can continuously learn from routinely collected in-home observation and measurement data. We "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.13916","kind":"arxiv","version":4},"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/2011.13916/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":"2026-07-05T02:36:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aLMoX28SZdtdXmIrbUwE13WKGuQeJuDmpYsIHZEOXGN98k1g1STLipEEW/DTJPouujLCdp/brMRdDGsPkJRhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T04:10:47.458065Z"},"content_sha256":"54215538d8ecc58a59540bb2e10d5146c6ab99cc540966a166cfb35c8c128004","schema_version":"1.0","event_id":"sha256:54215538d8ecc58a59540bb2e10d5146c6ab99cc540966a166cfb35c8c128004"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY/bundle.json","state_url":"https://pith.science/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY/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":"2026-08-21T04:10:47Z","links":{"resolver":"https://pith.science/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY","bundle":"https://pith.science/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY/bundle.json","state":"https://pith.science/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R4KKI3EEGMLSNGBZPFBOZ5OEPY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:R4KKI3EEGMLSNGBZPFBOZ5OEPY","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":"1592e6ebad459b023b1fe4b795fc1f2a17dcb9e34cda94eb1e96dd2b125848d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2020-11-27T18:58:05Z","title_canon_sha256":"9f2fa71fdd5031b435bf48becadb914fb31f440d8bca2347a9b9c4a2c6272780"},"schema_version":"1.0","source":{"id":"2011.13916","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.13916","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"arxiv_version","alias_value":"2011.13916v4","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.13916","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"pith_short_12","alias_value":"R4KKI3EEGMLS","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"pith_short_16","alias_value":"R4KKI3EEGMLSNGBZ","created_at":"2026-07-05T02:36:03Z"},{"alias_kind":"pith_short_8","alias_value":"R4KKI3EE","created_at":"2026-07-05T02:36:03Z"}],"graph_snapshots":[{"event_id":"sha256:54215538d8ecc58a59540bb2e10d5146c6ab99cc540966a166cfb35c8c128004","target":"graph","created_at":"2026-07-05T02:36:03Z","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/2011.13916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning techniques combined with in-home monitoring technologies provide a unique opportunity to automate diagnosis and early detection of adverse health conditions in long-term conditions such as dementia. However, accessing sufficient labelled training samples and integrating high-quality, routinely collected data from heterogeneous in-home monitoring technologies are main obstacles hindered utilising these technologies in real-world medicine. This work presents a semi-supervised model that can continuously learn from routinely collected in-home observation and measurement data. We ","authors_text":"Andreas Markides, David J. Sharp, Eyal Soreq, Helen Rostill, Honglin Li, Kirsten Jensen, Loren Cameron, Magdalena Anita Kolanko, Mark Kenny, Michael Crone, Paul Freemont, Payam Barnaghi, Ramin Nilforooshan, Samaneh Kouchaki, Severin Skillman, Shirin Enshaeifar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2020-11-27T18:58:05Z","title":"Deep Representation for Connected Health: Semi-supervised Learning for Analysing the Risk of Urinary Tract Infections in People with Dementia"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.13916","kind":"arxiv","version":4},"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":"sha256:28b83c3c4853f404eaa0af91fbb33799d1b00e35fdad46ffb5dcdac310b8f5d1","target":"record","created_at":"2026-07-05T02:36:03Z","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":"1592e6ebad459b023b1fe4b795fc1f2a17dcb9e34cda94eb1e96dd2b125848d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2020-11-27T18:58:05Z","title_canon_sha256":"9f2fa71fdd5031b435bf48becadb914fb31f440d8bca2347a9b9c4a2c6272780"},"schema_version":"1.0","source":{"id":"2011.13916","kind":"arxiv","version":4}},"canonical_sha256":"8f14a46c8433172698397942ecf5c47e2e09ddab5905436ccf61eb43fc75091f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f14a46c8433172698397942ecf5c47e2e09ddab5905436ccf61eb43fc75091f","first_computed_at":"2026-07-05T02:36:03.729208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:36:03.729208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aQZkPv4ofv/xYV4/uZRFQbQVzN4GvQB3txsUr3uSxcHDUwD5J2muoaOs/ZSIMD1OHEB80z9NBfVdPxoUukFRBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:36:03.729762Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.13916","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28b83c3c4853f404eaa0af91fbb33799d1b00e35fdad46ffb5dcdac310b8f5d1","sha256:54215538d8ecc58a59540bb2e10d5146c6ab99cc540966a166cfb35c8c128004"],"state_sha256":"0c81e67351b5c0ed32f88f63f15c48f80c65c547e5bc6e9c7911b230e80105ac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ll1EGXy/idyK4PSguzfOiwaueJEZJykp46BpISivTGSorZdxaJGlKG63UMz3H8U2MCZON3hlccd7Td93SjdSAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T04:10:47.462521Z","bundle_sha256":"50995d0c7d9cf6f83946d8d3551ecefba3bbc15d3ec5a7474485b659d318b0d5"}}