{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:AYKOGAOIAKQ7DHJXASVBX6EOD4","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":"cda8e440a6b3faf150b3801bd90698219f0a4686a17878bf72b007e912c52e76","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-05-24T13:18:06Z","title_canon_sha256":"5a96504325c1dd243e5d0582e4fdb587ff72e0669cb78f9469474a4342fcfb8b"},"schema_version":"1.0","source":{"id":"1605.07439","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.07439","created_at":"2026-05-18T00:50:57Z"},{"alias_kind":"arxiv_version","alias_value":"1605.07439v3","created_at":"2026-05-18T00:50:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.07439","created_at":"2026-05-18T00:50:57Z"},{"alias_kind":"pith_short_12","alias_value":"AYKOGAOIAKQ7","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AYKOGAOIAKQ7DHJX","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AYKOGAOI","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:26ab4eacf309558a2fd377bdcff87c884f88ab6457f5cb48f61f61fe3b3e3138","target":"graph","created_at":"2026-05-18T00:50:57Z","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":"Remote sensing observations are extensively used for analysis of environmental variables. These variables often exhibit spatial correlation, which has to be accounted for in the calibration models used in predictions, either by direct modelling of the dependencies or by allowing for spatially correlated stochastic effects. Another feature in many remote sensing instruments is that the derived predictor variables are highly correlated, which can lead to unnecessary model over-training and at worst, singularities in the estimates. Both of these affect the prediction accuracy, especially when the","authors_text":"Marko Laine, Virpi Junttila","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-05-24T13:18:06Z","title":"Bayesian Principal Component Regression model with spatial effects for forest inventory under small field sample size"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.07439","kind":"arxiv","version":3},"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:c21cab9135b7f93323af2d8ec9eddc807544fea49cf2ba9bddc2da904a7f6961","target":"record","created_at":"2026-05-18T00:50:57Z","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":"cda8e440a6b3faf150b3801bd90698219f0a4686a17878bf72b007e912c52e76","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-05-24T13:18:06Z","title_canon_sha256":"5a96504325c1dd243e5d0582e4fdb587ff72e0669cb78f9469474a4342fcfb8b"},"schema_version":"1.0","source":{"id":"1605.07439","kind":"arxiv","version":3}},"canonical_sha256":"0614e301c802a1f19d3704aa1bf88e1f02db09c712bf12a0c36eaf1006a53d2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0614e301c802a1f19d3704aa1bf88e1f02db09c712bf12a0c36eaf1006a53d2f","first_computed_at":"2026-05-18T00:50:57.105825Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:57.105825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g+2R9exzZWH8ygubkixFtXsVUdZrN2itGgFxlCnZhjlE5KEOQteQHTFVwVmPMm+xCjAY3uKINhB41dRnDqeXCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:57.106542Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.07439","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c21cab9135b7f93323af2d8ec9eddc807544fea49cf2ba9bddc2da904a7f6961","sha256:26ab4eacf309558a2fd377bdcff87c884f88ab6457f5cb48f61f61fe3b3e3138"],"state_sha256":"9065062a132715ab52480d858b417a524d90b402eb747cdf30087944a83d3bfe"}