{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:KEW3YCAXH467A6F3QVU62VYWHX","short_pith_number":"pith:KEW3YCAX","schema_version":"1.0","canonical_sha256":"512dbc08173f3df078bb8569ed57163df25853934338073316a3ee85ea7fbb98","source":{"kind":"arxiv","id":"1907.11631","version":2},"attestation_state":"computed","paper":{"title":"Label Switching Problem in Bayesian Analysis for Gravitational Wave Astronomy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Christopher J. Moore, Elinore Roebber, Janna M. Goldstein, Riccardo Buscicchio","submitted_at":"2019-07-26T15:33:59Z","abstract_excerpt":"The label switching problem arises in the Bayesian analysis of models containing multiple indistinguishable parameters with arbitrary ordering. Any permutation of these parameters is equivalent, therefore models with many such parameters have extremely multi-modal posterior distributions. It is difficult to sample efficiently from such posteriors. This paper discusses a solution to this problem which involves carefully mapping the input parameter space to a high dimensional hypertriangle. It is demonstrated that this solution is efficient even for large numbers of parameters and can be easily "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1907.11631","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-07-26T15:33:59Z","cross_cats_sorted":[],"title_canon_sha256":"6554b94b09fc5219b575716be3356478ba31098a498d4b839524f11b9667a13c","abstract_canon_sha256":"6022c00818c32ad9fc488057002e68d955977f3ff6bae0bb28270a6ac25a2bed"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:15:39.242842Z","signature_b64":"0xBGKfUIgGm28pydJU2IGeBLRj12bJKgpJrxpPn4m3Cfcljb6MF7/5JJaVa1fCmZFJmDWqYiD2klOj8L4W9KCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"512dbc08173f3df078bb8569ed57163df25853934338073316a3ee85ea7fbb98","last_reissued_at":"2026-07-05T00:15:39.242260Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:15:39.242260Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Label Switching Problem in Bayesian Analysis for Gravitational Wave Astronomy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Christopher J. Moore, Elinore Roebber, Janna M. Goldstein, Riccardo Buscicchio","submitted_at":"2019-07-26T15:33:59Z","abstract_excerpt":"The label switching problem arises in the Bayesian analysis of models containing multiple indistinguishable parameters with arbitrary ordering. Any permutation of these parameters is equivalent, therefore models with many such parameters have extremely multi-modal posterior distributions. It is difficult to sample efficiently from such posteriors. This paper discusses a solution to this problem which involves carefully mapping the input parameter space to a high dimensional hypertriangle. It is demonstrated that this solution is efficient even for large numbers of parameters and can be easily "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.11631","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1907.11631/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1907.11631","created_at":"2026-07-05T00:15:39.242339+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.11631v2","created_at":"2026-07-05T00:15:39.242339+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.11631","created_at":"2026-07-05T00:15:39.242339+00:00"},{"alias_kind":"pith_short_12","alias_value":"KEW3YCAXH467","created_at":"2026-07-05T00:15:39.242339+00:00"},{"alias_kind":"pith_short_16","alias_value":"KEW3YCAXH467A6F3","created_at":"2026-07-05T00:15:39.242339+00:00"},{"alias_kind":"pith_short_8","alias_value":"KEW3YCAX","created_at":"2026-07-05T00:15:39.242339+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.17951","citing_title":"Data-Driven Discovery of a Simple Phantom-Crossing Dark Energy Parametrization","ref_index":42,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX","json":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX.json","graph_json":"https://pith.science/api/pith-number/KEW3YCAXH467A6F3QVU62VYWHX/graph.json","events_json":"https://pith.science/api/pith-number/KEW3YCAXH467A6F3QVU62VYWHX/events.json","paper":"https://pith.science/paper/KEW3YCAX"},"agent_actions":{"view_html":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX","download_json":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX.json","view_paper":"https://pith.science/paper/KEW3YCAX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.11631&json=true","fetch_graph":"https://pith.science/api/pith-number/KEW3YCAXH467A6F3QVU62VYWHX/graph.json","fetch_events":"https://pith.science/api/pith-number/KEW3YCAXH467A6F3QVU62VYWHX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX/action/storage_attestation","attest_author":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX/action/author_attestation","sign_citation":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX/action/citation_signature","submit_replication":"https://pith.science/pith/KEW3YCAXH467A6F3QVU62VYWHX/action/replication_record"}},"created_at":"2026-07-05T00:15:39.242339+00:00","updated_at":"2026-07-05T00:15:39.242339+00:00"}