{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:YEEK3MGE5LSSYM37PPJMC652QR","short_pith_number":"pith:YEEK3MGE","canonical_record":{"source":{"id":"1804.07065","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-04-19T10:12:35Z","cross_cats_sorted":["math.PR","math.ST","stat.TH"],"title_canon_sha256":"4243d4fd432c4bd1e9083f83f2c82a4adb2aacd331b5445826762a331c271ef3","abstract_canon_sha256":"8d0e78da07019b2ce0bf96da06a7b4f185591bff580db8a5a04a044365a7cc57"},"schema_version":"1.0"},"canonical_sha256":"c108adb0c4eae52c337f7bd2c17bba8479657e8dc32517a271590b06aa1f6848","source":{"kind":"arxiv","id":"1804.07065","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.07065","created_at":"2026-05-18T00:18:01Z"},{"alias_kind":"arxiv_version","alias_value":"1804.07065v1","created_at":"2026-05-18T00:18:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.07065","created_at":"2026-05-18T00:18:01Z"},{"alias_kind":"pith_short_12","alias_value":"YEEK3MGE5LSS","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YEEK3MGE5LSSYM37","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YEEK3MGE","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:YEEK3MGE5LSSYM37PPJMC652QR","target":"record","payload":{"canonical_record":{"source":{"id":"1804.07065","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-04-19T10:12:35Z","cross_cats_sorted":["math.PR","math.ST","stat.TH"],"title_canon_sha256":"4243d4fd432c4bd1e9083f83f2c82a4adb2aacd331b5445826762a331c271ef3","abstract_canon_sha256":"8d0e78da07019b2ce0bf96da06a7b4f185591bff580db8a5a04a044365a7cc57"},"schema_version":"1.0"},"canonical_sha256":"c108adb0c4eae52c337f7bd2c17bba8479657e8dc32517a271590b06aa1f6848","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:01.593058Z","signature_b64":"yMOqRsZuS56X88MunwXPx3L/C/OVILn/mCUS8GtRcOdEM/dJJ9wNmAv/R/ly4fGjxedRJfhmvBFdjfVG8LFfDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c108adb0c4eae52c337f7bd2c17bba8479657e8dc32517a271590b06aa1f6848","last_reissued_at":"2026-05-18T00:18:01.592456Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:01.592456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.07065","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":"2026-05-18T00:18:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CAE1/6cnBkVk3BhsL+jC10zO671Ug021gRMVESKDptk43DGflJKeDy1GYv0xn4QGY7iDe/3xIMQEndGiDRaYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T11:42:20.649633Z"},"content_sha256":"2b113613d9e2510fc43b523c4b306d1ffb5c45e9e45933b6f990ce535d55e353","schema_version":"1.0","event_id":"sha256:2b113613d9e2510fc43b523c4b306d1ffb5c45e9e45933b6f990ce535d55e353"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:YEEK3MGE5LSSYM37PPJMC652QR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian nonparametric analysis of Kingman's coalescent","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR","math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Paul A. Jenkins, Shui Feng, Stefano Favaro","submitted_at":"2018-04-19T10:12:35Z","abstract_excerpt":"Kingman's coalescent is one of the most popular models in population genetics. It describes the genealogy of a population whose genetic composition evolves in time according to the Wright-Fisher model, or suitable approximations of it belonging to the broad class of Fleming-Viot processes. Ancestral inference under Kingman's coalescent has had much attention in the literature, both in practical data analysis, and from a theoretical and methodological point of view. Given a sample of individuals taken from the population at time $t>0$, most contributions have aimed at making frequentist or Baye"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.07065","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":"2026-05-18T00:18:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dUc/5bvsK4GErLZltKy8JtG1I+uNaGZ1XPCQu7hJssczbPADKHHX1q2msXL+h+VwNlGF643xm2r7jqysKqvBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T11:42:20.650385Z"},"content_sha256":"95c6dee7ecbc6f834b242c2ae30ff1462d1e1a796b72c0ea465e5c1c6025a8ae","schema_version":"1.0","event_id":"sha256:95c6dee7ecbc6f834b242c2ae30ff1462d1e1a796b72c0ea465e5c1c6025a8ae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YEEK3MGE5LSSYM37PPJMC652QR/bundle.json","state_url":"https://pith.science/pith/YEEK3MGE5LSSYM37PPJMC652QR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YEEK3MGE5LSSYM37PPJMC652QR/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":"2026-06-11T11:42:20Z","links":{"resolver":"https://pith.science/pith/YEEK3MGE5LSSYM37PPJMC652QR","bundle":"https://pith.science/pith/YEEK3MGE5LSSYM37PPJMC652QR/bundle.json","state":"https://pith.science/pith/YEEK3MGE5LSSYM37PPJMC652QR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YEEK3MGE5LSSYM37PPJMC652QR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:YEEK3MGE5LSSYM37PPJMC652QR","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":"8d0e78da07019b2ce0bf96da06a7b4f185591bff580db8a5a04a044365a7cc57","cross_cats_sorted":["math.PR","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-04-19T10:12:35Z","title_canon_sha256":"4243d4fd432c4bd1e9083f83f2c82a4adb2aacd331b5445826762a331c271ef3"},"schema_version":"1.0","source":{"id":"1804.07065","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.07065","created_at":"2026-05-18T00:18:01Z"},{"alias_kind":"arxiv_version","alias_value":"1804.07065v1","created_at":"2026-05-18T00:18:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.07065","created_at":"2026-05-18T00:18:01Z"},{"alias_kind":"pith_short_12","alias_value":"YEEK3MGE5LSS","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YEEK3MGE5LSSYM37","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YEEK3MGE","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:95c6dee7ecbc6f834b242c2ae30ff1462d1e1a796b72c0ea465e5c1c6025a8ae","target":"graph","created_at":"2026-05-18T00:18:01Z","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":"Kingman's coalescent is one of the most popular models in population genetics. It describes the genealogy of a population whose genetic composition evolves in time according to the Wright-Fisher model, or suitable approximations of it belonging to the broad class of Fleming-Viot processes. Ancestral inference under Kingman's coalescent has had much attention in the literature, both in practical data analysis, and from a theoretical and methodological point of view. Given a sample of individuals taken from the population at time $t>0$, most contributions have aimed at making frequentist or Baye","authors_text":"Paul A. Jenkins, Shui Feng, Stefano Favaro","cross_cats":["math.PR","math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-04-19T10:12:35Z","title":"Bayesian nonparametric analysis of Kingman's coalescent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.07065","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":"sha256:2b113613d9e2510fc43b523c4b306d1ffb5c45e9e45933b6f990ce535d55e353","target":"record","created_at":"2026-05-18T00:18:01Z","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":"8d0e78da07019b2ce0bf96da06a7b4f185591bff580db8a5a04a044365a7cc57","cross_cats_sorted":["math.PR","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-04-19T10:12:35Z","title_canon_sha256":"4243d4fd432c4bd1e9083f83f2c82a4adb2aacd331b5445826762a331c271ef3"},"schema_version":"1.0","source":{"id":"1804.07065","kind":"arxiv","version":1}},"canonical_sha256":"c108adb0c4eae52c337f7bd2c17bba8479657e8dc32517a271590b06aa1f6848","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c108adb0c4eae52c337f7bd2c17bba8479657e8dc32517a271590b06aa1f6848","first_computed_at":"2026-05-18T00:18:01.592456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:01.592456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yMOqRsZuS56X88MunwXPx3L/C/OVILn/mCUS8GtRcOdEM/dJJ9wNmAv/R/ly4fGjxedRJfhmvBFdjfVG8LFfDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:01.593058Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.07065","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b113613d9e2510fc43b523c4b306d1ffb5c45e9e45933b6f990ce535d55e353","sha256:95c6dee7ecbc6f834b242c2ae30ff1462d1e1a796b72c0ea465e5c1c6025a8ae"],"state_sha256":"8753a635046577952b8aa9faf4735cddb3b45f173cd15226c43ebdca75ecd77b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9qGgLow1JX+03GciJuMbRO5wqIJyZSfuapPPhK3Shhv6wVd52r4ICSWxoL42mQf5ofSU1cNKTUJpw4lursKRAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T11:42:20.654147Z","bundle_sha256":"83633f9732846f8c793da71267c177c0e6604ea36d2436ee522498045962ddcf"}}