{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:4YTPS4W47S3K5OYWK7SU2ED4NY","short_pith_number":"pith:4YTPS4W4","canonical_record":{"source":{"id":"1504.00860","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-04-03T15:26:04Z","cross_cats_sorted":[],"title_canon_sha256":"08a6e406e5aaa0984cc2a2b5ee15d0a34c7717fd3a5dcb912ef027c431a28556","abstract_canon_sha256":"6b4ecc08693722ed1f568b3c54c951aaa111da15f47cca2fd1a46693eb7a474b"},"schema_version":"1.0"},"canonical_sha256":"e626f972dcfcb6aebb1657e54d107c6e202cad515375f16af82c73082fd2031a","source":{"kind":"arxiv","id":"1504.00860","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.00860","created_at":"2026-05-18T02:19:27Z"},{"alias_kind":"arxiv_version","alias_value":"1504.00860v2","created_at":"2026-05-18T02:19:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.00860","created_at":"2026-05-18T02:19:27Z"},{"alias_kind":"pith_short_12","alias_value":"4YTPS4W47S3K","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4YTPS4W47S3K5OYW","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4YTPS4W4","created_at":"2026-05-18T12:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:4YTPS4W47S3K5OYWK7SU2ED4NY","target":"record","payload":{"canonical_record":{"source":{"id":"1504.00860","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-04-03T15:26:04Z","cross_cats_sorted":[],"title_canon_sha256":"08a6e406e5aaa0984cc2a2b5ee15d0a34c7717fd3a5dcb912ef027c431a28556","abstract_canon_sha256":"6b4ecc08693722ed1f568b3c54c951aaa111da15f47cca2fd1a46693eb7a474b"},"schema_version":"1.0"},"canonical_sha256":"e626f972dcfcb6aebb1657e54d107c6e202cad515375f16af82c73082fd2031a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:19:27.407250Z","signature_b64":"/TJJpi3dghKy+8oBqzUFaapbZRxmxvleWaDAaQR2f/+70PBLfuDykco7/mVbY7zEUHFkqAv17v9u8Sx8zDzeCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e626f972dcfcb6aebb1657e54d107c6e202cad515375f16af82c73082fd2031a","last_reissued_at":"2026-05-18T02:19:27.406653Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:19:27.406653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1504.00860","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:19:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ckweDHOsCSuPC5ui8ZsC7HcCEj8AgMW5EWJs1FvZ3B5JUmcad5MK/o2Dd49KU0P4m6CVy+equHtNh5Uf2RJDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:57:34.786208Z"},"content_sha256":"e0cc2e54095444b3168d82b37991d63b16047aef25a07a2fc106dc8b7415e4a4","schema_version":"1.0","event_id":"sha256:e0cc2e54095444b3168d82b37991d63b16047aef25a07a2fc106dc8b7415e4a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:4YTPS4W47S3K5OYWK7SU2ED4NY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Padhraic Smyth, Petter Arnesen, Tracy Holsclaw","submitted_at":"2015-04-03T15:26:04Z","abstract_excerpt":"We consider the analysis of sets of categorical sequences consisting of piecewise homogeneous Markov segments. The sequences are assumed to be governed by a common underlying process with segments occurring in the same order for each sequence. Segments are defined by a set of unobserved changepoints where the positions and number of changepoints can vary from sequence to sequence. We propose a Bayesian framework for analyzing such data, placing priors on the locations of the changepoints and on the transition matrices and using Markov chain Monte Carlo (MCMC) techniques to obtain posterior sam"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.00860","kind":"arxiv","version":2},"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":"2026-05-18T02:19:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fmtBSIoZEiV4BaBnfPU5cFqS98iNtt6HFBWjVMtK7/n5dqZm1skwg9CfXNK0DB72wIm+YNelggPf3KSTT0fSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:57:34.787770Z"},"content_sha256":"f18a08d3168a037034f6f03971966a0d6711723ddc8dd01100d5040c45050b46","schema_version":"1.0","event_id":"sha256:f18a08d3168a037034f6f03971966a0d6711723ddc8dd01100d5040c45050b46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4YTPS4W47S3K5OYWK7SU2ED4NY/bundle.json","state_url":"https://pith.science/pith/4YTPS4W47S3K5OYWK7SU2ED4NY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4YTPS4W47S3K5OYWK7SU2ED4NY/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":"2026-06-01T05:57:34Z","links":{"resolver":"https://pith.science/pith/4YTPS4W47S3K5OYWK7SU2ED4NY","bundle":"https://pith.science/pith/4YTPS4W47S3K5OYWK7SU2ED4NY/bundle.json","state":"https://pith.science/pith/4YTPS4W47S3K5OYWK7SU2ED4NY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4YTPS4W47S3K5OYWK7SU2ED4NY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:4YTPS4W47S3K5OYWK7SU2ED4NY","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":"6b4ecc08693722ed1f568b3c54c951aaa111da15f47cca2fd1a46693eb7a474b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-04-03T15:26:04Z","title_canon_sha256":"08a6e406e5aaa0984cc2a2b5ee15d0a34c7717fd3a5dcb912ef027c431a28556"},"schema_version":"1.0","source":{"id":"1504.00860","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.00860","created_at":"2026-05-18T02:19:27Z"},{"alias_kind":"arxiv_version","alias_value":"1504.00860v2","created_at":"2026-05-18T02:19:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.00860","created_at":"2026-05-18T02:19:27Z"},{"alias_kind":"pith_short_12","alias_value":"4YTPS4W47S3K","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4YTPS4W47S3K5OYW","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4YTPS4W4","created_at":"2026-05-18T12:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:f18a08d3168a037034f6f03971966a0d6711723ddc8dd01100d5040c45050b46","target":"graph","created_at":"2026-05-18T02:19:27Z","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 consider the analysis of sets of categorical sequences consisting of piecewise homogeneous Markov segments. The sequences are assumed to be governed by a common underlying process with segments occurring in the same order for each sequence. Segments are defined by a set of unobserved changepoints where the positions and number of changepoints can vary from sequence to sequence. We propose a Bayesian framework for analyzing such data, placing priors on the locations of the changepoints and on the transition matrices and using Markov chain Monte Carlo (MCMC) techniques to obtain posterior sam","authors_text":"Padhraic Smyth, Petter Arnesen, Tracy Holsclaw","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-04-03T15:26:04Z","title":"Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.00860","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:e0cc2e54095444b3168d82b37991d63b16047aef25a07a2fc106dc8b7415e4a4","target":"record","created_at":"2026-05-18T02:19:27Z","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":"6b4ecc08693722ed1f568b3c54c951aaa111da15f47cca2fd1a46693eb7a474b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-04-03T15:26:04Z","title_canon_sha256":"08a6e406e5aaa0984cc2a2b5ee15d0a34c7717fd3a5dcb912ef027c431a28556"},"schema_version":"1.0","source":{"id":"1504.00860","kind":"arxiv","version":2}},"canonical_sha256":"e626f972dcfcb6aebb1657e54d107c6e202cad515375f16af82c73082fd2031a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e626f972dcfcb6aebb1657e54d107c6e202cad515375f16af82c73082fd2031a","first_computed_at":"2026-05-18T02:19:27.406653Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:19:27.406653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/TJJpi3dghKy+8oBqzUFaapbZRxmxvleWaDAaQR2f/+70PBLfuDykco7/mVbY7zEUHFkqAv17v9u8Sx8zDzeCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:19:27.407250Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.00860","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0cc2e54095444b3168d82b37991d63b16047aef25a07a2fc106dc8b7415e4a4","sha256:f18a08d3168a037034f6f03971966a0d6711723ddc8dd01100d5040c45050b46"],"state_sha256":"5ffe511e78626766e8e8283799ba4d3f07fb0099a3ec97c36ca3e9cbd46327b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F4twmCGK5rcZEpHFLTaLIS6E/wU0kG98tUXduINdEYdOiXCk9XP2mIq6gWFoTD2SAKO4noUWUVUMc0cwkTb/Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T05:57:34.789938Z","bundle_sha256":"6390e242f4cca3ac5b3c266b2c6e4b1c215efc733f1ce197347a6faa40775b23"}}