{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:SZYUCTY6TNOFJDDLFE2ZPP6D3N","short_pith_number":"pith:SZYUCTY6","canonical_record":{"source":{"id":"1311.5699","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2013-11-22T10:25:16Z","cross_cats_sorted":["q-bio.PE","stat.CO"],"title_canon_sha256":"aeecf8b2fe567291a010fa58b4c1fcbeeb49fd14f673ab4c70758fae93c89f68","abstract_canon_sha256":"bd738fbe8683cdf830c447430527da7d285ed7036e0f127427d7a5ff7c394327"},"schema_version":"1.0"},"canonical_sha256":"9671414f1e9b5c548c6b293597bfc3db5110936bb7e72257351e1072372f0a6e","source":{"kind":"arxiv","id":"1311.5699","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.5699","created_at":"2026-05-18T01:07:54Z"},{"alias_kind":"arxiv_version","alias_value":"1311.5699v4","created_at":"2026-05-18T01:07:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.5699","created_at":"2026-05-18T01:07:54Z"},{"alias_kind":"pith_short_12","alias_value":"SZYUCTY6TNOF","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"SZYUCTY6TNOFJDDL","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"SZYUCTY6","created_at":"2026-05-18T12:27:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:SZYUCTY6TNOFJDDLFE2ZPP6D3N","target":"record","payload":{"canonical_record":{"source":{"id":"1311.5699","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2013-11-22T10:25:16Z","cross_cats_sorted":["q-bio.PE","stat.CO"],"title_canon_sha256":"aeecf8b2fe567291a010fa58b4c1fcbeeb49fd14f673ab4c70758fae93c89f68","abstract_canon_sha256":"bd738fbe8683cdf830c447430527da7d285ed7036e0f127427d7a5ff7c394327"},"schema_version":"1.0"},"canonical_sha256":"9671414f1e9b5c548c6b293597bfc3db5110936bb7e72257351e1072372f0a6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:07:54.307054Z","signature_b64":"1QKC9i9G6NnL6dat6zH499ELDMwzysvJdSkXQUyvJ5mGO9J+hJmntXX8ZPSvlfTe3Q0BLjvlt9rdcIIHUxIICg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9671414f1e9b5c548c6b293597bfc3db5110936bb7e72257351e1072372f0a6e","last_reissued_at":"2026-05-18T01:07:54.306682Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:07:54.306682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1311.5699","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:07:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/kXNBf82QOiNHk2SC2jIaNvTohF7dBXu+wsgQN61FJVzQ1xDhJF2FhIDZWS2XZWQWajktQuOj6v+BTqxjePWDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T14:10:35.209664Z"},"content_sha256":"bf930f33c03ddf8d5789f9fe163a56650d54a66080fb62ad98f4e5168bcc443b","schema_version":"1.0","event_id":"sha256:bf930f33c03ddf8d5789f9fe163a56650d54a66080fb62ad98f4e5168bcc443b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:SZYUCTY6TNOFJDDLFE2ZPP6D3N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Computational inference beyond Kingman's coalescent","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.PE","stat.CO"],"primary_cat":"math.PR","authors_text":"Dario Spano, Jere Koskela, Paul A. Jenkins","submitted_at":"2013-11-22T10:25:16Z","abstract_excerpt":"Full likelihood inference under Kingman's coalescent is a computationally challenging problem to which importance sampling (IS) and the product of approximate conditionals (PAC) method have been applied successfully. Both methods can be expressed in terms of families of intractable conditional sampling distributions (CSDs), and rely on principled approximations for accurate inference. Recently, more general $\\Lambda$- and $\\Xi$-coalescents have been observed to provide better modelling fits to some genetic data sets. We derive families of approximate CSDs for finite sites $\\Lambda$- and $\\Xi$-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.5699","kind":"arxiv","version":4},"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":"2026-05-18T01:07:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aJbjuuzVHesEWy36t02kNkyzNkl0cexDRvbcianthy701vrHSwPyHUJIszkRoX7O2SUCk+M7voMaEp4cxi+oBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T14:10:35.210023Z"},"content_sha256":"afbf402c8f806388a263c238af0a714b197d6dc4295a870941b6dea2cb8c8850","schema_version":"1.0","event_id":"sha256:afbf402c8f806388a263c238af0a714b197d6dc4295a870941b6dea2cb8c8850"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N/bundle.json","state_url":"https://pith.science/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N/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":"2026-06-11T14:10:35Z","links":{"resolver":"https://pith.science/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N","bundle":"https://pith.science/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N/bundle.json","state":"https://pith.science/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SZYUCTY6TNOFJDDLFE2ZPP6D3N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:SZYUCTY6TNOFJDDLFE2ZPP6D3N","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":"bd738fbe8683cdf830c447430527da7d285ed7036e0f127427d7a5ff7c394327","cross_cats_sorted":["q-bio.PE","stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2013-11-22T10:25:16Z","title_canon_sha256":"aeecf8b2fe567291a010fa58b4c1fcbeeb49fd14f673ab4c70758fae93c89f68"},"schema_version":"1.0","source":{"id":"1311.5699","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.5699","created_at":"2026-05-18T01:07:54Z"},{"alias_kind":"arxiv_version","alias_value":"1311.5699v4","created_at":"2026-05-18T01:07:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.5699","created_at":"2026-05-18T01:07:54Z"},{"alias_kind":"pith_short_12","alias_value":"SZYUCTY6TNOF","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"SZYUCTY6TNOFJDDL","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"SZYUCTY6","created_at":"2026-05-18T12:27:59Z"}],"graph_snapshots":[{"event_id":"sha256:afbf402c8f806388a263c238af0a714b197d6dc4295a870941b6dea2cb8c8850","target":"graph","created_at":"2026-05-18T01:07:54Z","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":"Full likelihood inference under Kingman's coalescent is a computationally challenging problem to which importance sampling (IS) and the product of approximate conditionals (PAC) method have been applied successfully. Both methods can be expressed in terms of families of intractable conditional sampling distributions (CSDs), and rely on principled approximations for accurate inference. Recently, more general $\\Lambda$- and $\\Xi$-coalescents have been observed to provide better modelling fits to some genetic data sets. We derive families of approximate CSDs for finite sites $\\Lambda$- and $\\Xi$-","authors_text":"Dario Spano, Jere Koskela, Paul A. Jenkins","cross_cats":["q-bio.PE","stat.CO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2013-11-22T10:25:16Z","title":"Computational inference beyond Kingman's coalescent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.5699","kind":"arxiv","version":4},"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:bf930f33c03ddf8d5789f9fe163a56650d54a66080fb62ad98f4e5168bcc443b","target":"record","created_at":"2026-05-18T01:07:54Z","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":"bd738fbe8683cdf830c447430527da7d285ed7036e0f127427d7a5ff7c394327","cross_cats_sorted":["q-bio.PE","stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2013-11-22T10:25:16Z","title_canon_sha256":"aeecf8b2fe567291a010fa58b4c1fcbeeb49fd14f673ab4c70758fae93c89f68"},"schema_version":"1.0","source":{"id":"1311.5699","kind":"arxiv","version":4}},"canonical_sha256":"9671414f1e9b5c548c6b293597bfc3db5110936bb7e72257351e1072372f0a6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9671414f1e9b5c548c6b293597bfc3db5110936bb7e72257351e1072372f0a6e","first_computed_at":"2026-05-18T01:07:54.306682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:07:54.306682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1QKC9i9G6NnL6dat6zH499ELDMwzysvJdSkXQUyvJ5mGO9J+hJmntXX8ZPSvlfTe3Q0BLjvlt9rdcIIHUxIICg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:07:54.307054Z","signed_message":"canonical_sha256_bytes"},"source_id":"1311.5699","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf930f33c03ddf8d5789f9fe163a56650d54a66080fb62ad98f4e5168bcc443b","sha256:afbf402c8f806388a263c238af0a714b197d6dc4295a870941b6dea2cb8c8850"],"state_sha256":"224db9adc3679ce9d8b094010d6a031c516151b92fc7fe079598660e71890637"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Smhxp2nhHmioYuBratAa9OY7S09R9UZQ1iCor0u6QAMwb5eKXu+hcc6kmmofAwQ6IeY9NlmA5j/CMYaVBlYxBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T14:10:35.211950Z","bundle_sha256":"433554e50cf08323a5b6686868260b5a10bd83daaf4be16abfd3be7c10d293ae"}}