{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JZKQ2XXN7T3D6VCWE2GN6K7RMA","short_pith_number":"pith:JZKQ2XXN","canonical_record":{"source":{"id":"1705.00689","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-01T19:59:01Z","cross_cats_sorted":[],"title_canon_sha256":"4b82dca8bec75f5eea2c4010cebaac71f3ff2eacd0b9b804b8bb64131de783d9","abstract_canon_sha256":"3d886381d8da26c2e7d322c4e25b3991c5648740f2e4fd4e615d549c14994f03"},"schema_version":"1.0"},"canonical_sha256":"4e550d5eedfcf63f5456268cdf2bf1603b17c4301aeb4a0680ccb758abd800c6","source":{"kind":"arxiv","id":"1705.00689","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.00689","created_at":"2026-05-18T00:32:10Z"},{"alias_kind":"arxiv_version","alias_value":"1705.00689v2","created_at":"2026-05-18T00:32:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00689","created_at":"2026-05-18T00:32:10Z"},{"alias_kind":"pith_short_12","alias_value":"JZKQ2XXN7T3D","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JZKQ2XXN7T3D6VCW","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JZKQ2XXN","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JZKQ2XXN7T3D6VCWE2GN6K7RMA","target":"record","payload":{"canonical_record":{"source":{"id":"1705.00689","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-01T19:59:01Z","cross_cats_sorted":[],"title_canon_sha256":"4b82dca8bec75f5eea2c4010cebaac71f3ff2eacd0b9b804b8bb64131de783d9","abstract_canon_sha256":"3d886381d8da26c2e7d322c4e25b3991c5648740f2e4fd4e615d549c14994f03"},"schema_version":"1.0"},"canonical_sha256":"4e550d5eedfcf63f5456268cdf2bf1603b17c4301aeb4a0680ccb758abd800c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:32:10.464077Z","signature_b64":"WMWIak22WMukBN+fCIcepFEYHMRgi0yBOJqJnh4NpOo9hZ5Iba67smeTZk6zHIKBwtrXAVdYJn1aRLfDfDzgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e550d5eedfcf63f5456268cdf2bf1603b17c4301aeb4a0680ccb758abd800c6","last_reissued_at":"2026-05-18T00:32:10.463372Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:32:10.463372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.00689","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":"2026-05-18T00:32:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vsSj7gkUyelAia7TJ5a8xWo8yw/4Kzp9pUyn5c0mlMWnUpdQ7q7DLbS1D1305Y4Ukbk+sK8Og5vXtW4zM5JRAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T20:36:04.206403Z"},"content_sha256":"fdf85cde32b6da525b0ef261fb718235410876c252c98227c2da78af6b2e952d","schema_version":"1.0","event_id":"sha256:fdf85cde32b6da525b0ef261fb718235410876c252c98227c2da78af6b2e952d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JZKQ2XXN7T3D6VCWE2GN6K7RMA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"David Murrell, Sofia Olhede, Tuomas Rajala","submitted_at":"2017-05-01T19:59:01Z","abstract_excerpt":"We propose a method for detecting significant interactions in very large multivariate spatial point patterns. This methodology develops high dimensional data understanding in the point process setting. The method is based on modelling the patterns using a flexible Gibbs point process model to directly characterise point-to-point interactions at different spatial scales. By using the Gibbs framework significant interactions can also be captured at small scales. Subsequently, the Gibbs point process is fitted using a pseudo-likelihood approximation, and we select significant interactions automat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00689","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":"2026-05-18T00:32:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fFHnkFfTcphTS3qPVr9BIdJtHi8lHuUCRLcoyFiW6bNONixrWdQs9utPlsBJap9rfji7pml7iRqs2LtYC08SAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T20:36:04.206749Z"},"content_sha256":"01c49da45c15c2d871936f565d8a835a612f97c5de7db26e2edecc56916899db","schema_version":"1.0","event_id":"sha256:01c49da45c15c2d871936f565d8a835a612f97c5de7db26e2edecc56916899db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA/bundle.json","state_url":"https://pith.science/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA/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":"2026-07-03T20:36:04Z","links":{"resolver":"https://pith.science/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA","bundle":"https://pith.science/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA/bundle.json","state":"https://pith.science/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZKQ2XXN7T3D6VCWE2GN6K7RMA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JZKQ2XXN7T3D6VCWE2GN6K7RMA","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":"3d886381d8da26c2e7d322c4e25b3991c5648740f2e4fd4e615d549c14994f03","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-01T19:59:01Z","title_canon_sha256":"4b82dca8bec75f5eea2c4010cebaac71f3ff2eacd0b9b804b8bb64131de783d9"},"schema_version":"1.0","source":{"id":"1705.00689","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.00689","created_at":"2026-05-18T00:32:10Z"},{"alias_kind":"arxiv_version","alias_value":"1705.00689v2","created_at":"2026-05-18T00:32:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00689","created_at":"2026-05-18T00:32:10Z"},{"alias_kind":"pith_short_12","alias_value":"JZKQ2XXN7T3D","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JZKQ2XXN7T3D6VCW","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JZKQ2XXN","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:01c49da45c15c2d871936f565d8a835a612f97c5de7db26e2edecc56916899db","target":"graph","created_at":"2026-05-18T00:32:10Z","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":"We propose a method for detecting significant interactions in very large multivariate spatial point patterns. This methodology develops high dimensional data understanding in the point process setting. The method is based on modelling the patterns using a flexible Gibbs point process model to directly characterise point-to-point interactions at different spatial scales. By using the Gibbs framework significant interactions can also be captured at small scales. Subsequently, the Gibbs point process is fitted using a pseudo-likelihood approximation, and we select significant interactions automat","authors_text":"David Murrell, Sofia Olhede, Tuomas Rajala","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-01T19:59:01Z","title":"Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00689","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:fdf85cde32b6da525b0ef261fb718235410876c252c98227c2da78af6b2e952d","target":"record","created_at":"2026-05-18T00:32:10Z","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":"3d886381d8da26c2e7d322c4e25b3991c5648740f2e4fd4e615d549c14994f03","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-01T19:59:01Z","title_canon_sha256":"4b82dca8bec75f5eea2c4010cebaac71f3ff2eacd0b9b804b8bb64131de783d9"},"schema_version":"1.0","source":{"id":"1705.00689","kind":"arxiv","version":2}},"canonical_sha256":"4e550d5eedfcf63f5456268cdf2bf1603b17c4301aeb4a0680ccb758abd800c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e550d5eedfcf63f5456268cdf2bf1603b17c4301aeb4a0680ccb758abd800c6","first_computed_at":"2026-05-18T00:32:10.463372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:32:10.463372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WMWIak22WMukBN+fCIcepFEYHMRgi0yBOJqJnh4NpOo9hZ5Iba67smeTZk6zHIKBwtrXAVdYJn1aRLfDfDzgDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:32:10.464077Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.00689","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fdf85cde32b6da525b0ef261fb718235410876c252c98227c2da78af6b2e952d","sha256:01c49da45c15c2d871936f565d8a835a612f97c5de7db26e2edecc56916899db"],"state_sha256":"fa1352b347ff9c01fad060cc5dee3c806e2e173691af11f796a9a11c8a9b4218"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TLMCDDbAaPPQsviw9u+RJQcWEYHivuVv/wWxUiPmtDrv6gWjQNKE85f18CT2QmA1vAsZz3ZqdLj/9z4r9zrSDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T20:36:04.208603Z","bundle_sha256":"8ce4895a257902ecb02cd214d1fa7a5353590c9c558c43aef0adf4b008ae6296"}}