{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:R2JZR2ZHMJUVDZSNRGASRGHPEN","short_pith_number":"pith:R2JZR2ZH","canonical_record":{"source":{"id":"1412.0158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-11-29T21:45:18Z","cross_cats_sorted":[],"title_canon_sha256":"69bf2048bef9cb06456173e32c3f5c3f9538f5d3d750282b25d028597fb66b98","abstract_canon_sha256":"4eb76a2b8d3513d26a27efbe45f6f39cf069aff23ef0b18bf58b3c92c0777661"},"schema_version":"1.0"},"canonical_sha256":"8e9398eb27626951e64d89812898ef23532f90f0ebb60090395f538c39a4f219","source":{"kind":"arxiv","id":"1412.0158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.0158","created_at":"2026-05-18T01:36:31Z"},{"alias_kind":"arxiv_version","alias_value":"1412.0158v1","created_at":"2026-05-18T01:36:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.0158","created_at":"2026-05-18T01:36:31Z"},{"alias_kind":"pith_short_12","alias_value":"R2JZR2ZHMJUV","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"R2JZR2ZHMJUVDZSN","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"R2JZR2ZH","created_at":"2026-05-18T12:28:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:R2JZR2ZHMJUVDZSNRGASRGHPEN","target":"record","payload":{"canonical_record":{"source":{"id":"1412.0158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-11-29T21:45:18Z","cross_cats_sorted":[],"title_canon_sha256":"69bf2048bef9cb06456173e32c3f5c3f9538f5d3d750282b25d028597fb66b98","abstract_canon_sha256":"4eb76a2b8d3513d26a27efbe45f6f39cf069aff23ef0b18bf58b3c92c0777661"},"schema_version":"1.0"},"canonical_sha256":"8e9398eb27626951e64d89812898ef23532f90f0ebb60090395f538c39a4f219","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:36:31.332283Z","signature_b64":"TJll82c9bQhxsJNuCbU7B30M6xl/Iwk5iO23YHZLXpDFwEq5Z2ICIWoDCXjp3ktrbEoIEiJLZd63kZF78CQ6Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e9398eb27626951e64d89812898ef23532f90f0ebb60090395f538c39a4f219","last_reissued_at":"2026-05-18T01:36:31.331690Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:36:31.331690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1412.0158","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":"2026-05-18T01:36:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xgf1SmVn67yXfGa7kjLjtg7YBF24n9KvsI9ioP8qtsHped1f6m7kO1VALuIovV+BOZnKZNtv5HEY0GgROLfxDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T12:21:22.440006Z"},"content_sha256":"2000e8b2fd9672888da86f334dadfeae4cc646a1e7189e7cb5ace2157d5713cd","schema_version":"1.0","event_id":"sha256:2000e8b2fd9672888da86f334dadfeae4cc646a1e7189e7cb5ace2157d5713cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:R2JZR2ZHMJUVDZSNRGASRGHPEN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Babak Shahbaba, Julia A. Palacios, Michael Karcher, Shiwei Lan, Vladimir N. Minin","submitted_at":"2014-11-29T21:45:18Z","abstract_excerpt":"Phylodynamics focuses on the problem of reconstructing past population size dynamics from current genetic samples taken from the population of interest. This technique has been extensively used in many areas of biology, but is particularly useful for studying the spread of quickly evolving infectious diseases agents, e.g.,\\ influenza virus. Phylodynamics inference uses a coalescent model that defines a probability density for the genealogy of randomly sampled individuals from the population. When we assume that such a genealogy is known, the coalescent model, equipped with a Gaussian process p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.0158","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":"2026-05-18T01:36:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9ImHBNQs4xM/UcPtARbbHHdN7COZolvv7ZV2YzIJsa56Dm/0CbgeSlm0mhyGa9f1V0mz9DPRtLCKonF6DUsbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T12:21:22.440680Z"},"content_sha256":"48ee57104f32d1dadf1c06b27b2f328eee29f77bf626c77a92a973e58159d8ee","schema_version":"1.0","event_id":"sha256:48ee57104f32d1dadf1c06b27b2f328eee29f77bf626c77a92a973e58159d8ee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN/bundle.json","state_url":"https://pith.science/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN/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":"2026-05-25T12:21:22Z","links":{"resolver":"https://pith.science/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN","bundle":"https://pith.science/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN/bundle.json","state":"https://pith.science/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R2JZR2ZHMJUVDZSNRGASRGHPEN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:R2JZR2ZHMJUVDZSNRGASRGHPEN","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":"4eb76a2b8d3513d26a27efbe45f6f39cf069aff23ef0b18bf58b3c92c0777661","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-11-29T21:45:18Z","title_canon_sha256":"69bf2048bef9cb06456173e32c3f5c3f9538f5d3d750282b25d028597fb66b98"},"schema_version":"1.0","source":{"id":"1412.0158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.0158","created_at":"2026-05-18T01:36:31Z"},{"alias_kind":"arxiv_version","alias_value":"1412.0158v1","created_at":"2026-05-18T01:36:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.0158","created_at":"2026-05-18T01:36:31Z"},{"alias_kind":"pith_short_12","alias_value":"R2JZR2ZHMJUV","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"R2JZR2ZHMJUVDZSN","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"R2JZR2ZH","created_at":"2026-05-18T12:28:46Z"}],"graph_snapshots":[{"event_id":"sha256:48ee57104f32d1dadf1c06b27b2f328eee29f77bf626c77a92a973e58159d8ee","target":"graph","created_at":"2026-05-18T01:36:31Z","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":"Phylodynamics focuses on the problem of reconstructing past population size dynamics from current genetic samples taken from the population of interest. This technique has been extensively used in many areas of biology, but is particularly useful for studying the spread of quickly evolving infectious diseases agents, e.g.,\\ influenza virus. Phylodynamics inference uses a coalescent model that defines a probability density for the genealogy of randomly sampled individuals from the population. When we assume that such a genealogy is known, the coalescent model, equipped with a Gaussian process p","authors_text":"Babak Shahbaba, Julia A. Palacios, Michael Karcher, Shiwei Lan, Vladimir N. Minin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-11-29T21:45:18Z","title":"An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.0158","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":"sha256:2000e8b2fd9672888da86f334dadfeae4cc646a1e7189e7cb5ace2157d5713cd","target":"record","created_at":"2026-05-18T01:36:31Z","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":"4eb76a2b8d3513d26a27efbe45f6f39cf069aff23ef0b18bf58b3c92c0777661","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-11-29T21:45:18Z","title_canon_sha256":"69bf2048bef9cb06456173e32c3f5c3f9538f5d3d750282b25d028597fb66b98"},"schema_version":"1.0","source":{"id":"1412.0158","kind":"arxiv","version":1}},"canonical_sha256":"8e9398eb27626951e64d89812898ef23532f90f0ebb60090395f538c39a4f219","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e9398eb27626951e64d89812898ef23532f90f0ebb60090395f538c39a4f219","first_computed_at":"2026-05-18T01:36:31.331690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:36:31.331690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TJll82c9bQhxsJNuCbU7B30M6xl/Iwk5iO23YHZLXpDFwEq5Z2ICIWoDCXjp3ktrbEoIEiJLZd63kZF78CQ6Ag==","signature_status":"signed_v1","signed_at":"2026-05-18T01:36:31.332283Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.0158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2000e8b2fd9672888da86f334dadfeae4cc646a1e7189e7cb5ace2157d5713cd","sha256:48ee57104f32d1dadf1c06b27b2f328eee29f77bf626c77a92a973e58159d8ee"],"state_sha256":"c951ea9c768fb0d4e48e06a720152c02caa647496a460cba0f96f57561b2201c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"19t3P6t7dNlRo7lq0Fe6scl3BPzmmnZJ14Q+jkXSQCJvO3vz2wjbCAjHw2cLNXJalZKNnKPPq8ev/oMHnqQbAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T12:21:22.444206Z","bundle_sha256":"539b2621e817c00559554830178e29998704c71e04f7eeb569d5b89a750dc62b"}}