{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GDY7NRGZUBRGMDUK57SSD2FHKG","short_pith_number":"pith:GDY7NRGZ","canonical_record":{"source":{"id":"1903.01138","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2019-03-04T08:59:02Z","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"title_canon_sha256":"6dc0925c04e0005f9f0ef68d550d850061088421f72ff038a533fc8f1f599fe5","abstract_canon_sha256":"e68d741e5bdcabddb1d8d73ea4742ee320f48afe356c081203d6e5340f64d9eb"},"schema_version":"1.0"},"canonical_sha256":"30f1f6c4d9a062660e8aefe521e8a751970d7ce91b5facf213ca112996a37a28","source":{"kind":"arxiv","id":"1903.01138","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.01138","created_at":"2026-05-17T23:41:24Z"},{"alias_kind":"arxiv_version","alias_value":"1903.01138v2","created_at":"2026-05-17T23:41:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.01138","created_at":"2026-05-17T23:41:24Z"},{"alias_kind":"pith_short_12","alias_value":"GDY7NRGZUBRG","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GDY7NRGZUBRGMDUK","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GDY7NRGZ","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GDY7NRGZUBRGMDUK57SSD2FHKG","target":"record","payload":{"canonical_record":{"source":{"id":"1903.01138","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2019-03-04T08:59:02Z","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"title_canon_sha256":"6dc0925c04e0005f9f0ef68d550d850061088421f72ff038a533fc8f1f599fe5","abstract_canon_sha256":"e68d741e5bdcabddb1d8d73ea4742ee320f48afe356c081203d6e5340f64d9eb"},"schema_version":"1.0"},"canonical_sha256":"30f1f6c4d9a062660e8aefe521e8a751970d7ce91b5facf213ca112996a37a28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:24.582378Z","signature_b64":"PgUDmlU4WbRMqXB3IUwUA2N7+RUOP7ExvBoT7QVLRgZ7Ypt7vAQaK5vcm0o2I9A7QEbtUkXSmC90TpqnsLenDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30f1f6c4d9a062660e8aefe521e8a751970d7ce91b5facf213ca112996a37a28","last_reissued_at":"2026-05-17T23:41:24.581630Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:24.581630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.01138","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZJW67CAQNfRT97nY4dFqoSycCxo1BibvWNNU59Z+mUApjNOx2hirvnBIUh0tsvtZB0ZCTfpGElcgOikprJCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T02:49:34.830404Z"},"content_sha256":"cf2ffa82f0765703d3bcbfa7109a484d078ccc22dba81570f2e15b9edb3d7eed","schema_version":"1.0","event_id":"sha256:cf2ffa82f0765703d3bcbfa7109a484d078ccc22dba81570f2e15b9edb3d7eed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GDY7NRGZUBRGMDUK57SSD2FHKG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.ME","stat.TH"],"primary_cat":"stat.CO","authors_text":"Evelyn Buckwar, Irene Tubikanec, Massimiliano Tamborrino","submitted_at":"2019-03-04T08:59:02Z","abstract_excerpt":"Approximate Bayesian Computation (ABC) has become one of the major tools of likelihood-free statistical inference in complex mathematical models. Simultaneously, stochastic differential equations (SDEs) have developed to an established tool for modelling time dependent, real world phenomena with underlying random effects. When applying ABC to stochastic models, two major difficulties arise. First, the derivation of effective summary statistics and proper distances is particularly challenging, since simulations from the stochastic process under the same parameter configuration result in differe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.01138","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":""},"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":"2026-05-17T23:41:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PlND8zZw8j4mX2i7f3p/Kq2TbEZTP0RbDDA1MYt370iBHkR3bMsqmKKecptuO7PRw08sOGk8kf6VoF1IoeRJCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T02:49:34.831036Z"},"content_sha256":"5317f4e80bb3f906a3d20a458b23d195fda1089a856b43d926e13741a82ca6cf","schema_version":"1.0","event_id":"sha256:5317f4e80bb3f906a3d20a458b23d195fda1089a856b43d926e13741a82ca6cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GDY7NRGZUBRGMDUK57SSD2FHKG/bundle.json","state_url":"https://pith.science/pith/GDY7NRGZUBRGMDUK57SSD2FHKG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GDY7NRGZUBRGMDUK57SSD2FHKG/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":"2026-06-06T02:49:34Z","links":{"resolver":"https://pith.science/pith/GDY7NRGZUBRGMDUK57SSD2FHKG","bundle":"https://pith.science/pith/GDY7NRGZUBRGMDUK57SSD2FHKG/bundle.json","state":"https://pith.science/pith/GDY7NRGZUBRGMDUK57SSD2FHKG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GDY7NRGZUBRGMDUK57SSD2FHKG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GDY7NRGZUBRGMDUK57SSD2FHKG","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":"e68d741e5bdcabddb1d8d73ea4742ee320f48afe356c081203d6e5340f64d9eb","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2019-03-04T08:59:02Z","title_canon_sha256":"6dc0925c04e0005f9f0ef68d550d850061088421f72ff038a533fc8f1f599fe5"},"schema_version":"1.0","source":{"id":"1903.01138","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.01138","created_at":"2026-05-17T23:41:24Z"},{"alias_kind":"arxiv_version","alias_value":"1903.01138v2","created_at":"2026-05-17T23:41:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.01138","created_at":"2026-05-17T23:41:24Z"},{"alias_kind":"pith_short_12","alias_value":"GDY7NRGZUBRG","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GDY7NRGZUBRGMDUK","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GDY7NRGZ","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:5317f4e80bb3f906a3d20a458b23d195fda1089a856b43d926e13741a82ca6cf","target":"graph","created_at":"2026-05-17T23:41:24Z","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":"Approximate Bayesian Computation (ABC) has become one of the major tools of likelihood-free statistical inference in complex mathematical models. Simultaneously, stochastic differential equations (SDEs) have developed to an established tool for modelling time dependent, real world phenomena with underlying random effects. When applying ABC to stochastic models, two major difficulties arise. First, the derivation of effective summary statistics and proper distances is particularly challenging, since simulations from the stochastic process under the same parameter configuration result in differe","authors_text":"Evelyn Buckwar, Irene Tubikanec, Massimiliano Tamborrino","cross_cats":["math.ST","stat.ME","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2019-03-04T08:59:02Z","title":"Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.01138","kind":"arxiv","version":2},"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:cf2ffa82f0765703d3bcbfa7109a484d078ccc22dba81570f2e15b9edb3d7eed","target":"record","created_at":"2026-05-17T23:41:24Z","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":"e68d741e5bdcabddb1d8d73ea4742ee320f48afe356c081203d6e5340f64d9eb","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2019-03-04T08:59:02Z","title_canon_sha256":"6dc0925c04e0005f9f0ef68d550d850061088421f72ff038a533fc8f1f599fe5"},"schema_version":"1.0","source":{"id":"1903.01138","kind":"arxiv","version":2}},"canonical_sha256":"30f1f6c4d9a062660e8aefe521e8a751970d7ce91b5facf213ca112996a37a28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30f1f6c4d9a062660e8aefe521e8a751970d7ce91b5facf213ca112996a37a28","first_computed_at":"2026-05-17T23:41:24.581630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:24.581630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PgUDmlU4WbRMqXB3IUwUA2N7+RUOP7ExvBoT7QVLRgZ7Ypt7vAQaK5vcm0o2I9A7QEbtUkXSmC90TpqnsLenDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:24.582378Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.01138","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf2ffa82f0765703d3bcbfa7109a484d078ccc22dba81570f2e15b9edb3d7eed","sha256:5317f4e80bb3f906a3d20a458b23d195fda1089a856b43d926e13741a82ca6cf"],"state_sha256":"a596464f80759a3e383a7c4547876f038bfc5083fd3451d6ea5748f4f2b6581e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wU1KHwV6DmDwRTZDTPEVIHBmFJqfaccYykRZ2URLI8YVdUmoEZ6igXUoDKzyPkUVlea8PWSMYcUtTIgsDISoBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T02:49:34.834477Z","bundle_sha256":"a7d829439c37141bc357a688d61518227afd7ef92ea355e3c5033bc6e752936b"}}