{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:3EGUGGSPMQXZWSVLSYXJWNESHY","short_pith_number":"pith:3EGUGGSP","canonical_record":{"source":{"id":"1509.00110","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-09-01T01:32:51Z","cross_cats_sorted":[],"title_canon_sha256":"13489051b721070ac8818c6e017d946dbe7232d4cb3a0c1f2764ddb2c14fd730","abstract_canon_sha256":"2f5e381b52d7ff6e785a73d47c938910843b3ef6e31bcd558acca70b4c1747d1"},"schema_version":"1.0"},"canonical_sha256":"d90d431a4f642f9b4aab962e9b34923e28160697450e8aee4da96097d9b275d0","source":{"kind":"arxiv","id":"1509.00110","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.00110","created_at":"2026-05-18T01:34:30Z"},{"alias_kind":"arxiv_version","alias_value":"1509.00110v1","created_at":"2026-05-18T01:34:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.00110","created_at":"2026-05-18T01:34:30Z"},{"alias_kind":"pith_short_12","alias_value":"3EGUGGSPMQXZ","created_at":"2026-05-18T12:29:02Z"},{"alias_kind":"pith_short_16","alias_value":"3EGUGGSPMQXZWSVL","created_at":"2026-05-18T12:29:02Z"},{"alias_kind":"pith_short_8","alias_value":"3EGUGGSP","created_at":"2026-05-18T12:29:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:3EGUGGSPMQXZWSVLSYXJWNESHY","target":"record","payload":{"canonical_record":{"source":{"id":"1509.00110","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-09-01T01:32:51Z","cross_cats_sorted":[],"title_canon_sha256":"13489051b721070ac8818c6e017d946dbe7232d4cb3a0c1f2764ddb2c14fd730","abstract_canon_sha256":"2f5e381b52d7ff6e785a73d47c938910843b3ef6e31bcd558acca70b4c1747d1"},"schema_version":"1.0"},"canonical_sha256":"d90d431a4f642f9b4aab962e9b34923e28160697450e8aee4da96097d9b275d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:34:30.595877Z","signature_b64":"G7Ovr9iEJbOcfATemomytQLJ7M5sp975pJKJKZ2yMaWbWmdhg4Cb6aj7zwRLlrEyeouU8IXxyV5WNJPYeuSECA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d90d431a4f642f9b4aab962e9b34923e28160697450e8aee4da96097d9b275d0","last_reissued_at":"2026-05-18T01:34:30.595298Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:34:30.595298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1509.00110","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":"2026-05-18T01:34:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fTPMWxiFBSdozMuZoQQRH0F60MfHzG57WgeeD4SXvgQXZC56/P7g1MjG9opMYOJQX6I/5ygwKZpRCIw5KCK2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T05:23:19.190080Z"},"content_sha256":"fe4b5d0d15709690ad68882269884b9a4b3fb6de40e79251a265eb9ff8731dc9","schema_version":"1.0","event_id":"sha256:fe4b5d0d15709690ad68882269884b9a4b3fb6de40e79251a265eb9ff8731dc9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:3EGUGGSPMQXZWSVLSYXJWNESHY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Models for Heterogeneous Personalized Health Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Allison E. Aiello, Kai Fan, Katherine A. Heller","submitted_at":"2015-09-01T01:32:51Z","abstract_excerpt":"The purpose of this study is to leverage modern technology (such as mobile or web apps in Beckman et al. (2014)) to enrich epidemiology data and infer the transmission of disease. Homogeneity related research on population level has been intensively studied in previous work. In contrast, we develop hierarchical Graph-Coupled Hidden Markov Models (hGCHMMs) to simultaneously track the spread of infection in a small cell phone community and capture person-specific infection parameters by leveraging a link prior that incorporates additional covariates. We also reexamine the model evolution of the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.00110","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":"2026-05-18T01:34:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ACY58WeT6JvgTsq4/bl5O7114muiA3uVfmG0bs/++xE16llN1TIXjnKAEyEyLN+3JId3JiSI9S8LLzBrEjOyDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T05:23:19.190473Z"},"content_sha256":"75d7f59c9852f8baddd2aee4f664afe4066f6120fa330f47fd7af3ade51c9d5c","schema_version":"1.0","event_id":"sha256:75d7f59c9852f8baddd2aee4f664afe4066f6120fa330f47fd7af3ade51c9d5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3EGUGGSPMQXZWSVLSYXJWNESHY/bundle.json","state_url":"https://pith.science/pith/3EGUGGSPMQXZWSVLSYXJWNESHY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3EGUGGSPMQXZWSVLSYXJWNESHY/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":"2026-06-02T05:23:19Z","links":{"resolver":"https://pith.science/pith/3EGUGGSPMQXZWSVLSYXJWNESHY","bundle":"https://pith.science/pith/3EGUGGSPMQXZWSVLSYXJWNESHY/bundle.json","state":"https://pith.science/pith/3EGUGGSPMQXZWSVLSYXJWNESHY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3EGUGGSPMQXZWSVLSYXJWNESHY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:3EGUGGSPMQXZWSVLSYXJWNESHY","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":"2f5e381b52d7ff6e785a73d47c938910843b3ef6e31bcd558acca70b4c1747d1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-09-01T01:32:51Z","title_canon_sha256":"13489051b721070ac8818c6e017d946dbe7232d4cb3a0c1f2764ddb2c14fd730"},"schema_version":"1.0","source":{"id":"1509.00110","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.00110","created_at":"2026-05-18T01:34:30Z"},{"alias_kind":"arxiv_version","alias_value":"1509.00110v1","created_at":"2026-05-18T01:34:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.00110","created_at":"2026-05-18T01:34:30Z"},{"alias_kind":"pith_short_12","alias_value":"3EGUGGSPMQXZ","created_at":"2026-05-18T12:29:02Z"},{"alias_kind":"pith_short_16","alias_value":"3EGUGGSPMQXZWSVL","created_at":"2026-05-18T12:29:02Z"},{"alias_kind":"pith_short_8","alias_value":"3EGUGGSP","created_at":"2026-05-18T12:29:02Z"}],"graph_snapshots":[{"event_id":"sha256:75d7f59c9852f8baddd2aee4f664afe4066f6120fa330f47fd7af3ade51c9d5c","target":"graph","created_at":"2026-05-18T01:34:30Z","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":"The purpose of this study is to leverage modern technology (such as mobile or web apps in Beckman et al. (2014)) to enrich epidemiology data and infer the transmission of disease. Homogeneity related research on population level has been intensively studied in previous work. In contrast, we develop hierarchical Graph-Coupled Hidden Markov Models (hGCHMMs) to simultaneously track the spread of infection in a small cell phone community and capture person-specific infection parameters by leveraging a link prior that incorporates additional covariates. We also reexamine the model evolution of the ","authors_text":"Allison E. Aiello, Kai Fan, Katherine A. Heller","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-09-01T01:32:51Z","title":"Bayesian Models for Heterogeneous Personalized Health Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.00110","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:fe4b5d0d15709690ad68882269884b9a4b3fb6de40e79251a265eb9ff8731dc9","target":"record","created_at":"2026-05-18T01:34:30Z","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":"2f5e381b52d7ff6e785a73d47c938910843b3ef6e31bcd558acca70b4c1747d1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-09-01T01:32:51Z","title_canon_sha256":"13489051b721070ac8818c6e017d946dbe7232d4cb3a0c1f2764ddb2c14fd730"},"schema_version":"1.0","source":{"id":"1509.00110","kind":"arxiv","version":1}},"canonical_sha256":"d90d431a4f642f9b4aab962e9b34923e28160697450e8aee4da96097d9b275d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d90d431a4f642f9b4aab962e9b34923e28160697450e8aee4da96097d9b275d0","first_computed_at":"2026-05-18T01:34:30.595298Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:34:30.595298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G7Ovr9iEJbOcfATemomytQLJ7M5sp975pJKJKZ2yMaWbWmdhg4Cb6aj7zwRLlrEyeouU8IXxyV5WNJPYeuSECA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:34:30.595877Z","signed_message":"canonical_sha256_bytes"},"source_id":"1509.00110","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe4b5d0d15709690ad68882269884b9a4b3fb6de40e79251a265eb9ff8731dc9","sha256:75d7f59c9852f8baddd2aee4f664afe4066f6120fa330f47fd7af3ade51c9d5c"],"state_sha256":"7b6081fa1d021db476d8d3d4448f7cf4bcea88f7d2056eea1e0a24be763c534b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7uEllDV08StpAQVywxT3SrhaIIkG8gNQQMyqRl/VZBUFSFLO+r7DIv07DglL+453FIe9E+XCuQRyA3Ll8uOsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T05:23:19.192453Z","bundle_sha256":"b9ca54ac8b50e6a2a0b797c48e3f9205c6cd2823f2c8a92ac87605b428218081"}}