{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WC5CUM3EEUJSK5PKMFRH7S7H7Q","short_pith_number":"pith:WC5CUM3E","canonical_record":{"source":{"id":"2606.02231","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-01T13:25:58Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"e5cea84e7921c4d83b05e9f0c817516d2a5470e70bc04b6f3637be032a6b3b0b","abstract_canon_sha256":"a189a8a785023cd89116db6356c8024633c33255952239bec0834cd6b30580ff"},"schema_version":"1.0"},"canonical_sha256":"b0ba2a336425132575ea61627fcbe7fc1e2922f2f81357379fa4812e4d800b47","source":{"kind":"arxiv","id":"2606.02231","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02231","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02231v1","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02231","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"pith_short_12","alias_value":"WC5CUM3EEUJS","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"pith_short_16","alias_value":"WC5CUM3EEUJSK5PK","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"pith_short_8","alias_value":"WC5CUM3E","created_at":"2026-06-02T03:04:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WC5CUM3EEUJSK5PKMFRH7S7H7Q","target":"record","payload":{"canonical_record":{"source":{"id":"2606.02231","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-01T13:25:58Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"e5cea84e7921c4d83b05e9f0c817516d2a5470e70bc04b6f3637be032a6b3b0b","abstract_canon_sha256":"a189a8a785023cd89116db6356c8024633c33255952239bec0834cd6b30580ff"},"schema_version":"1.0"},"canonical_sha256":"b0ba2a336425132575ea61627fcbe7fc1e2922f2f81357379fa4812e4d800b47","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T03:04:53.712743Z","signature_b64":"+UiOfQ7UD1aS795Dj5vcZERwpNUdbMbxVn8B3DjV6dVgr8zcmDL1Av9KO9z0Rjxvdaq6jJ56QghVu0JyvmpCDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0ba2a336425132575ea61627fcbe7fc1e2922f2f81357379fa4812e4d800b47","last_reissued_at":"2026-06-02T03:04:53.712350Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T03:04:53.712350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.02231","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":"2026-06-02T03:04:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JwLGnObMr/0a1cfttE9uOKSpGb1EnUyGaO/IPT8zn/oD+jyszJ0VaS6HWFj1N4R5vwrYFt4BiT3pE0YZowXsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T23:41:39.169092Z"},"content_sha256":"5f8b51400ab13b2807dcffde5da278669bae9964b011c8ee3290573dafe5ea05","schema_version":"1.0","event_id":"sha256:5f8b51400ab13b2807dcffde5da278669bae9964b011c8ee3290573dafe5ea05"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WC5CUM3EEUJSK5PKMFRH7S7H7Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","stat.ME"],"primary_cat":"stat.ML","authors_text":"Carles Balsells-Rodas, Roel Hulsman, Sara Magliacane","submitted_at":"2026-06-01T13:25:58Z","abstract_excerpt":"Temporal systems often exhibit non-stationary behaviour, such as seasonal climate variation or glucose fluctuations in patients with type-1 diabetes. One way to model non-stationarity is through discrete latent regimes, i.e., stationary segments of time. Such systems induce a Markov Switching Model (MSM), a class of Hidden Markov Models with autoregressive dependencies among latent regimes and observed variables. Identifying latent regimes is challenging in the presence of frequent regime switches and nonlinear and non-Gaussian dynamics, particularly when there are instantaneous effects betwee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02231","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/2606.02231/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":"2026-06-02T03:04:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UqlAaMFOYNEqMxgi/eeBqswiJayNPABM3H1MJCW4+WEeT+AEkf4miXYTfScafoXZMn/nUQzkFGwv712Aa38HBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T23:41:39.169876Z"},"content_sha256":"b5a5a54f512ede866091d8f5a37726ee510ca37891081bf4d0e1e3153f9c8455","schema_version":"1.0","event_id":"sha256:b5a5a54f512ede866091d8f5a37726ee510ca37891081bf4d0e1e3153f9c8455"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q/bundle.json","state_url":"https://pith.science/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q/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":"2026-06-10T23:41:39Z","links":{"resolver":"https://pith.science/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q","bundle":"https://pith.science/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q/bundle.json","state":"https://pith.science/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WC5CUM3EEUJSK5PKMFRH7S7H7Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WC5CUM3EEUJSK5PKMFRH7S7H7Q","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":"a189a8a785023cd89116db6356c8024633c33255952239bec0834cd6b30580ff","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-01T13:25:58Z","title_canon_sha256":"e5cea84e7921c4d83b05e9f0c817516d2a5470e70bc04b6f3637be032a6b3b0b"},"schema_version":"1.0","source":{"id":"2606.02231","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02231","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02231v1","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02231","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"pith_short_12","alias_value":"WC5CUM3EEUJS","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"pith_short_16","alias_value":"WC5CUM3EEUJSK5PK","created_at":"2026-06-02T03:04:53Z"},{"alias_kind":"pith_short_8","alias_value":"WC5CUM3E","created_at":"2026-06-02T03:04:53Z"}],"graph_snapshots":[{"event_id":"sha256:b5a5a54f512ede866091d8f5a37726ee510ca37891081bf4d0e1e3153f9c8455","target":"graph","created_at":"2026-06-02T03:04:53Z","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/2606.02231/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal systems often exhibit non-stationary behaviour, such as seasonal climate variation or glucose fluctuations in patients with type-1 diabetes. One way to model non-stationarity is through discrete latent regimes, i.e., stationary segments of time. Such systems induce a Markov Switching Model (MSM), a class of Hidden Markov Models with autoregressive dependencies among latent regimes and observed variables. Identifying latent regimes is challenging in the presence of frequent regime switches and nonlinear and non-Gaussian dynamics, particularly when there are instantaneous effects betwee","authors_text":"Carles Balsells-Rodas, Roel Hulsman, Sara Magliacane","cross_cats":["cs.LG","stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-01T13:25:58Z","title":"Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02231","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":"sha256:5f8b51400ab13b2807dcffde5da278669bae9964b011c8ee3290573dafe5ea05","target":"record","created_at":"2026-06-02T03:04:53Z","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":"a189a8a785023cd89116db6356c8024633c33255952239bec0834cd6b30580ff","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-01T13:25:58Z","title_canon_sha256":"e5cea84e7921c4d83b05e9f0c817516d2a5470e70bc04b6f3637be032a6b3b0b"},"schema_version":"1.0","source":{"id":"2606.02231","kind":"arxiv","version":1}},"canonical_sha256":"b0ba2a336425132575ea61627fcbe7fc1e2922f2f81357379fa4812e4d800b47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0ba2a336425132575ea61627fcbe7fc1e2922f2f81357379fa4812e4d800b47","first_computed_at":"2026-06-02T03:04:53.712350Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T03:04:53.712350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+UiOfQ7UD1aS795Dj5vcZERwpNUdbMbxVn8B3DjV6dVgr8zcmDL1Av9KO9z0Rjxvdaq6jJ56QghVu0JyvmpCDg==","signature_status":"signed_v1","signed_at":"2026-06-02T03:04:53.712743Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.02231","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f8b51400ab13b2807dcffde5da278669bae9964b011c8ee3290573dafe5ea05","sha256:b5a5a54f512ede866091d8f5a37726ee510ca37891081bf4d0e1e3153f9c8455"],"state_sha256":"55dba2e42d50830cd0cde40110759ee836a3427b131ffc9831dcec4e5db5f67c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rUs6LehGqJ59qiEbIMX4xwHI78h3bbH8R4Q987KSz85xQpmDTrd6ngS4xpHTCcu/X8Yr1wnUPTmSYVzK4rLLDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T23:41:39.173777Z","bundle_sha256":"b0a96d530370cb61c46df448d042c9bf92851bc85404eb24fc411a8e9ffd2322"}}