{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XPLNRNFTH76DLY2CMWHRQM5KQE","short_pith_number":"pith:XPLNRNFT","canonical_record":{"source":{"id":"1709.06781","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-09-20T09:23:20Z","cross_cats_sorted":[],"title_canon_sha256":"5cb7a14b55f53d39eed7ca1033d35518a266e508c112f670d7dc99d1586d0a55","abstract_canon_sha256":"5d4b18438e086b59909d416191869fd42e41acd2af88eace59cb02e439631f0a"},"schema_version":"1.0"},"canonical_sha256":"bbd6d8b4b33ffc35e342658f1833aa8116a90d615daf6f7f51aa87b9b1fdbf2a","source":{"kind":"arxiv","id":"1709.06781","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.06781","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"1709.06781v1","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.06781","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"XPLNRNFTH76D","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XPLNRNFTH76DLY2C","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XPLNRNFT","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XPLNRNFTH76DLY2CMWHRQM5KQE","target":"record","payload":{"canonical_record":{"source":{"id":"1709.06781","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-09-20T09:23:20Z","cross_cats_sorted":[],"title_canon_sha256":"5cb7a14b55f53d39eed7ca1033d35518a266e508c112f670d7dc99d1586d0a55","abstract_canon_sha256":"5d4b18438e086b59909d416191869fd42e41acd2af88eace59cb02e439631f0a"},"schema_version":"1.0"},"canonical_sha256":"bbd6d8b4b33ffc35e342658f1833aa8116a90d615daf6f7f51aa87b9b1fdbf2a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:40.495406Z","signature_b64":"qrIMz/vgDcQAlnRRlG7VtOKTChA0zRmBlDg/UajUlnq/6NNNqpQMvKo54YP/qGYSIe4KGhC+vI3HjnH4jlXmBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbd6d8b4b33ffc35e342658f1833aa8116a90d615daf6f7f51aa87b9b1fdbf2a","last_reissued_at":"2026-05-18T00:34:40.494821Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:40.494821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.06781","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":"2026-05-18T00:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JGFmI9mrcXN96y/xTQdHILpHpXT7l4eM/29XXv9IEOxVjEZHyaQbXWdiNERD2ksL3xZsrY8PiLKhH8uyCPDPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T22:55:56.543325Z"},"content_sha256":"792fdf55032a709c79168ffecf37938f85ed68b3ba512b1c0afc20eb47b2bf87","schema_version":"1.0","event_id":"sha256:792fdf55032a709c79168ffecf37938f85ed68b3ba512b1c0afc20eb47b2bf87"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XPLNRNFTH76DLY2CMWHRQM5KQE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Careful prior specification avoids incautious inference for log-Gaussian Cox point processes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Daniel P. Simpson, David Burslem, Janine B. Illian, Sigrunn H. S{\\o}rbye","submitted_at":"2017-09-20T09:23:20Z","abstract_excerpt":"Prior specifications for hyperparameters of random fields in Bayesian spatial point process modelling can have a major impact on the statistical inference and the conclusions made. We consider fitting of log-Gaussian Cox processes to spatial point patterns relative to spatial covariate data. From an ecological point of view, an important aim of the analysis is to assess significant associations between the covariates and the point pattern intensity of a given species. This paper introduces the use of a reparameterised model to facilitate meaningful interpretations of the results and how these "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.06781","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":"2026-05-18T00:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SUqve2E4yrVApvlPTypmmVfhd09p53MPupk1ruMu02RCt8vZXbRmd8l0S6L0WqADi0GbxNwcD99Gj5N9qQ9TCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T22:55:56.543676Z"},"content_sha256":"d62e33845c1ab0260b27e1e5ff7da337180cf6be30bcc388e0e54ecb6b3a286b","schema_version":"1.0","event_id":"sha256:d62e33845c1ab0260b27e1e5ff7da337180cf6be30bcc388e0e54ecb6b3a286b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XPLNRNFTH76DLY2CMWHRQM5KQE/bundle.json","state_url":"https://pith.science/pith/XPLNRNFTH76DLY2CMWHRQM5KQE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XPLNRNFTH76DLY2CMWHRQM5KQE/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":"2026-06-02T22:55:56Z","links":{"resolver":"https://pith.science/pith/XPLNRNFTH76DLY2CMWHRQM5KQE","bundle":"https://pith.science/pith/XPLNRNFTH76DLY2CMWHRQM5KQE/bundle.json","state":"https://pith.science/pith/XPLNRNFTH76DLY2CMWHRQM5KQE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XPLNRNFTH76DLY2CMWHRQM5KQE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XPLNRNFTH76DLY2CMWHRQM5KQE","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":"5d4b18438e086b59909d416191869fd42e41acd2af88eace59cb02e439631f0a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-09-20T09:23:20Z","title_canon_sha256":"5cb7a14b55f53d39eed7ca1033d35518a266e508c112f670d7dc99d1586d0a55"},"schema_version":"1.0","source":{"id":"1709.06781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.06781","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"1709.06781v1","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.06781","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"XPLNRNFTH76D","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XPLNRNFTH76DLY2C","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XPLNRNFT","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:d62e33845c1ab0260b27e1e5ff7da337180cf6be30bcc388e0e54ecb6b3a286b","target":"graph","created_at":"2026-05-18T00:34:40Z","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":"Prior specifications for hyperparameters of random fields in Bayesian spatial point process modelling can have a major impact on the statistical inference and the conclusions made. We consider fitting of log-Gaussian Cox processes to spatial point patterns relative to spatial covariate data. From an ecological point of view, an important aim of the analysis is to assess significant associations between the covariates and the point pattern intensity of a given species. This paper introduces the use of a reparameterised model to facilitate meaningful interpretations of the results and how these ","authors_text":"Daniel P. Simpson, David Burslem, Janine B. Illian, Sigrunn H. S{\\o}rbye","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-09-20T09:23:20Z","title":"Careful prior specification avoids incautious inference for log-Gaussian Cox point processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.06781","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":"sha256:792fdf55032a709c79168ffecf37938f85ed68b3ba512b1c0afc20eb47b2bf87","target":"record","created_at":"2026-05-18T00:34:40Z","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":"5d4b18438e086b59909d416191869fd42e41acd2af88eace59cb02e439631f0a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-09-20T09:23:20Z","title_canon_sha256":"5cb7a14b55f53d39eed7ca1033d35518a266e508c112f670d7dc99d1586d0a55"},"schema_version":"1.0","source":{"id":"1709.06781","kind":"arxiv","version":1}},"canonical_sha256":"bbd6d8b4b33ffc35e342658f1833aa8116a90d615daf6f7f51aa87b9b1fdbf2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbd6d8b4b33ffc35e342658f1833aa8116a90d615daf6f7f51aa87b9b1fdbf2a","first_computed_at":"2026-05-18T00:34:40.494821Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:40.494821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qrIMz/vgDcQAlnRRlG7VtOKTChA0zRmBlDg/UajUlnq/6NNNqpQMvKo54YP/qGYSIe4KGhC+vI3HjnH4jlXmBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:40.495406Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.06781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:792fdf55032a709c79168ffecf37938f85ed68b3ba512b1c0afc20eb47b2bf87","sha256:d62e33845c1ab0260b27e1e5ff7da337180cf6be30bcc388e0e54ecb6b3a286b"],"state_sha256":"25262c72dc112234704041d763cc6bb5fa2861a9fb4436d6ad0b0eb253146e83"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tVJBe0NN+OQt5pt+Ee3phmRteg+Ku02L+WAnC5JiPt4CiqNAdu7ryJBOxFEPfwczhZHRtNuBCQxI3szNW3I5CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T22:55:56.545699Z","bundle_sha256":"1b2c0756869ac886cf0785e574ca1234e1dc84576e3c8db3b5529f516d0fc1cd"}}