{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XYPBSFNIMR6OP2QDZ2LYYTAFV3","short_pith_number":"pith:XYPBSFNI","canonical_record":{"source":{"id":"1703.07004","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-20T23:30:40Z","cross_cats_sorted":[],"title_canon_sha256":"cf147c0328e3dbd9bf89b570b5ee278e14ac71c8de181c9cc79d5499905bfa60","abstract_canon_sha256":"0137931b33337824cea300aad6ae6cb35e0dc8c704a2550d500717ebf6b2d274"},"schema_version":"1.0"},"canonical_sha256":"be1e1915a8647ce7ea03ce978c4c05aec0f4542a4189476029a031954d239657","source":{"kind":"arxiv","id":"1703.07004","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.07004","created_at":"2026-05-18T00:48:11Z"},{"alias_kind":"arxiv_version","alias_value":"1703.07004v1","created_at":"2026-05-18T00:48:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.07004","created_at":"2026-05-18T00:48:11Z"},{"alias_kind":"pith_short_12","alias_value":"XYPBSFNIMR6O","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XYPBSFNIMR6OP2QD","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XYPBSFNI","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XYPBSFNIMR6OP2QDZ2LYYTAFV3","target":"record","payload":{"canonical_record":{"source":{"id":"1703.07004","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-20T23:30:40Z","cross_cats_sorted":[],"title_canon_sha256":"cf147c0328e3dbd9bf89b570b5ee278e14ac71c8de181c9cc79d5499905bfa60","abstract_canon_sha256":"0137931b33337824cea300aad6ae6cb35e0dc8c704a2550d500717ebf6b2d274"},"schema_version":"1.0"},"canonical_sha256":"be1e1915a8647ce7ea03ce978c4c05aec0f4542a4189476029a031954d239657","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:11.647381Z","signature_b64":"3vZ+Txuv0VEDI6jlQUD7KkcTDA3JcqYkTukH55WnVN94Vo6DjbOCPZhkrcmEdqpuAl/yUssm8GfS8OLS6I5zAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be1e1915a8647ce7ea03ce978c4c05aec0f4542a4189476029a031954d239657","last_reissued_at":"2026-05-18T00:48:11.646740Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:11.646740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.07004","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":"2026-05-18T00:48:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1BDSk7lkrjwqwC5b4ghkDsq98avqal12h9w5+2p+kak/mMgTx+uSujOMfHWJH7fwoTEQL8ewlh/o/i3USJ0xDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T01:18:17.031016Z"},"content_sha256":"3e1ddf40dc34f6282ce4c20358fd83749c16690d7cdecef717bc39953574778c","schema_version":"1.0","event_id":"sha256:3e1ddf40dc34f6282ce4c20358fd83749c16690d7cdecef717bc39953574778c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XYPBSFNIMR6OP2QDZ2LYYTAFV3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Use of Autoencoders for Discovering Patient Phenotypes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Harini Suresh, Marzyeh Ghassemi, Peter Szolovits","submitted_at":"2017-03-20T23:30:40Z","abstract_excerpt":"We use autoencoders to create low-dimensional embeddings of underlying patient phenotypes that we hypothesize are a governing factor in determining how different patients will react to different interventions. We compare the performance of autoencoders that take fixed length sequences of concatenated timesteps as input with a recurrent sequence-to-sequence autoencoder. We evaluate our methods on around 35,500 patients from the latest MIMIC III dataset from Beth Israel Deaconess Hospital."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.07004","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:48:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lz45Mm5y56sq3qT3QJYsksg909M1D06ZVcKL34V/nXuC9JxEAt8VYyzSFJqFx3ZRaJJrSKdVDc88HDzcDeU1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T01:18:17.031385Z"},"content_sha256":"e1f1cf78f6c6faa332886cda43fbb890583eab34d117e99bfe3de205a627fbf6","schema_version":"1.0","event_id":"sha256:e1f1cf78f6c6faa332886cda43fbb890583eab34d117e99bfe3de205a627fbf6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3/bundle.json","state_url":"https://pith.science/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3/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":"2026-06-02T01:18:17Z","links":{"resolver":"https://pith.science/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3","bundle":"https://pith.science/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3/bundle.json","state":"https://pith.science/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XYPBSFNIMR6OP2QDZ2LYYTAFV3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XYPBSFNIMR6OP2QDZ2LYYTAFV3","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":"0137931b33337824cea300aad6ae6cb35e0dc8c704a2550d500717ebf6b2d274","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-20T23:30:40Z","title_canon_sha256":"cf147c0328e3dbd9bf89b570b5ee278e14ac71c8de181c9cc79d5499905bfa60"},"schema_version":"1.0","source":{"id":"1703.07004","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.07004","created_at":"2026-05-18T00:48:11Z"},{"alias_kind":"arxiv_version","alias_value":"1703.07004v1","created_at":"2026-05-18T00:48:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.07004","created_at":"2026-05-18T00:48:11Z"},{"alias_kind":"pith_short_12","alias_value":"XYPBSFNIMR6O","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XYPBSFNIMR6OP2QD","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XYPBSFNI","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:e1f1cf78f6c6faa332886cda43fbb890583eab34d117e99bfe3de205a627fbf6","target":"graph","created_at":"2026-05-18T00:48:11Z","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":"We use autoencoders to create low-dimensional embeddings of underlying patient phenotypes that we hypothesize are a governing factor in determining how different patients will react to different interventions. We compare the performance of autoencoders that take fixed length sequences of concatenated timesteps as input with a recurrent sequence-to-sequence autoencoder. We evaluate our methods on around 35,500 patients from the latest MIMIC III dataset from Beth Israel Deaconess Hospital.","authors_text":"Harini Suresh, Marzyeh Ghassemi, Peter Szolovits","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-20T23:30:40Z","title":"The Use of Autoencoders for Discovering Patient Phenotypes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.07004","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":"sha256:3e1ddf40dc34f6282ce4c20358fd83749c16690d7cdecef717bc39953574778c","target":"record","created_at":"2026-05-18T00:48:11Z","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":"0137931b33337824cea300aad6ae6cb35e0dc8c704a2550d500717ebf6b2d274","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-20T23:30:40Z","title_canon_sha256":"cf147c0328e3dbd9bf89b570b5ee278e14ac71c8de181c9cc79d5499905bfa60"},"schema_version":"1.0","source":{"id":"1703.07004","kind":"arxiv","version":1}},"canonical_sha256":"be1e1915a8647ce7ea03ce978c4c05aec0f4542a4189476029a031954d239657","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be1e1915a8647ce7ea03ce978c4c05aec0f4542a4189476029a031954d239657","first_computed_at":"2026-05-18T00:48:11.646740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:11.646740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3vZ+Txuv0VEDI6jlQUD7KkcTDA3JcqYkTukH55WnVN94Vo6DjbOCPZhkrcmEdqpuAl/yUssm8GfS8OLS6I5zAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:11.647381Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.07004","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e1ddf40dc34f6282ce4c20358fd83749c16690d7cdecef717bc39953574778c","sha256:e1f1cf78f6c6faa332886cda43fbb890583eab34d117e99bfe3de205a627fbf6"],"state_sha256":"ebc067a690e638dc2fc2a2a99a06141dd868fb17e77568f9b9ad3c800deb3dfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"paBmgsZOIaReXS3BNfZ+ayQNNWpAvrCJ6wlMTgTo3gq71coTRehX101nI2vHIqJXjllAuVAn68P0cHMLrl+YAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T01:18:17.033964Z","bundle_sha256":"93d4e4635b176b6b9348eb538eda1c6deeefc2411f0271e21b64e16654d0dfde"}}