{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:QG5KIA4QWY7RBZGOYJ2ETMYH6K","short_pith_number":"pith:QG5KIA4Q","canonical_record":{"source":{"id":"1205.2106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-05-09T21:15:08Z","cross_cats_sorted":["stat.CO","stat.ML"],"title_canon_sha256":"2e5c482a228d0d17391e484aae8037ed835230c804abd75308f8ffb9b15e2d7c","abstract_canon_sha256":"340578d5036bc5e62ce69b0a3856a222ed1cf3f440d62bf2ffcf59ec1eb71bce"},"schema_version":"1.0"},"canonical_sha256":"81baa40390b63f10e4cec27449b307f2a6a34b3bcb5f9d78f3485c69fbcbfb4e","source":{"kind":"arxiv","id":"1205.2106","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1205.2106","created_at":"2026-05-18T03:55:57Z"},{"alias_kind":"arxiv_version","alias_value":"1205.2106v1","created_at":"2026-05-18T03:55:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.2106","created_at":"2026-05-18T03:55:57Z"},{"alias_kind":"pith_short_12","alias_value":"QG5KIA4QWY7R","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_16","alias_value":"QG5KIA4QWY7RBZGO","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_8","alias_value":"QG5KIA4Q","created_at":"2026-05-18T12:27:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:QG5KIA4QWY7RBZGOYJ2ETMYH6K","target":"record","payload":{"canonical_record":{"source":{"id":"1205.2106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-05-09T21:15:08Z","cross_cats_sorted":["stat.CO","stat.ML"],"title_canon_sha256":"2e5c482a228d0d17391e484aae8037ed835230c804abd75308f8ffb9b15e2d7c","abstract_canon_sha256":"340578d5036bc5e62ce69b0a3856a222ed1cf3f440d62bf2ffcf59ec1eb71bce"},"schema_version":"1.0"},"canonical_sha256":"81baa40390b63f10e4cec27449b307f2a6a34b3bcb5f9d78f3485c69fbcbfb4e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:55:57.027096Z","signature_b64":"YXCzX2Mp6RQz29gnG1qZvmrEeTHynnUzNqYCWym9OPnIBIyrkm/YAIkIuVWKDDMCc/nV5POw/X/uupGhDhggCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81baa40390b63f10e4cec27449b307f2a6a34b3bcb5f9d78f3485c69fbcbfb4e","last_reissued_at":"2026-05-18T03:55:57.026428Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:55:57.026428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1205.2106","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":"2026-05-18T03:55:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+h5XdfuKZdDRmRMsVOZGYlh0ifOhYqSQd4kWnvzjCr5voY8wF/CAnEPuOmQ3MhtMcH4j3is+y6OLH8KffLhyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T10:54:39.944022Z"},"content_sha256":"51b498657b2789861290e71c0577d269dc5927ee7a5e0b8f8b4785f20c5f9e75","schema_version":"1.0","event_id":"sha256:51b498657b2789861290e71c0577d269dc5927ee7a5e0b8f8b4785f20c5f9e75"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:QG5KIA4QWY7RBZGOYJ2ETMYH6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatial Multiresolution Cluster Detection Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.CO","stat.ML"],"primary_cat":"stat.ME","authors_text":"Lingsong Zhang, Zhengyuan Zhu","submitted_at":"2012-05-09T21:15:08Z","abstract_excerpt":"A novel multi-resolution cluster detection (MCD) method is proposed to identify irregularly shaped clusters in space. Multi-scale test statistic on a single cell is derived based on likelihood ratio statistic for Bernoulli sequence, Poisson sequence and Normal sequence. A neighborhood variability measure is defined to select the optimal test threshold. The MCD method is compared with single scale testing methods controlling for false discovery rate and the spatial scan statistics using simulation and f-MRI data. The MCD method is shown to be more effective for discovering irregularly shaped cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.2106","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":"2026-05-18T03:55:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VX/GUZi/xM2fqPZ0IFkNTC8PueF7ZV8oXaDqwo1PhHWMw6bYy1i3mryWsacfo+dJooRty5lDmptIcNgQdALfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T10:54:39.944391Z"},"content_sha256":"01bb9cab2e2c5239a755bc50989ad3102876221be72f4f228e240556dc0bd905","schema_version":"1.0","event_id":"sha256:01bb9cab2e2c5239a755bc50989ad3102876221be72f4f228e240556dc0bd905"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K/bundle.json","state_url":"https://pith.science/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K/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":"2026-05-28T10:54:39Z","links":{"resolver":"https://pith.science/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K","bundle":"https://pith.science/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K/bundle.json","state":"https://pith.science/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QG5KIA4QWY7RBZGOYJ2ETMYH6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:QG5KIA4QWY7RBZGOYJ2ETMYH6K","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":"340578d5036bc5e62ce69b0a3856a222ed1cf3f440d62bf2ffcf59ec1eb71bce","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-05-09T21:15:08Z","title_canon_sha256":"2e5c482a228d0d17391e484aae8037ed835230c804abd75308f8ffb9b15e2d7c"},"schema_version":"1.0","source":{"id":"1205.2106","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1205.2106","created_at":"2026-05-18T03:55:57Z"},{"alias_kind":"arxiv_version","alias_value":"1205.2106v1","created_at":"2026-05-18T03:55:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.2106","created_at":"2026-05-18T03:55:57Z"},{"alias_kind":"pith_short_12","alias_value":"QG5KIA4QWY7R","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_16","alias_value":"QG5KIA4QWY7RBZGO","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_8","alias_value":"QG5KIA4Q","created_at":"2026-05-18T12:27:18Z"}],"graph_snapshots":[{"event_id":"sha256:01bb9cab2e2c5239a755bc50989ad3102876221be72f4f228e240556dc0bd905","target":"graph","created_at":"2026-05-18T03:55:57Z","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":"A novel multi-resolution cluster detection (MCD) method is proposed to identify irregularly shaped clusters in space. Multi-scale test statistic on a single cell is derived based on likelihood ratio statistic for Bernoulli sequence, Poisson sequence and Normal sequence. A neighborhood variability measure is defined to select the optimal test threshold. The MCD method is compared with single scale testing methods controlling for false discovery rate and the spatial scan statistics using simulation and f-MRI data. The MCD method is shown to be more effective for discovering irregularly shaped cl","authors_text":"Lingsong Zhang, Zhengyuan Zhu","cross_cats":["stat.CO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-05-09T21:15:08Z","title":"Spatial Multiresolution Cluster Detection Method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.2106","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":"sha256:51b498657b2789861290e71c0577d269dc5927ee7a5e0b8f8b4785f20c5f9e75","target":"record","created_at":"2026-05-18T03:55:57Z","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":"340578d5036bc5e62ce69b0a3856a222ed1cf3f440d62bf2ffcf59ec1eb71bce","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-05-09T21:15:08Z","title_canon_sha256":"2e5c482a228d0d17391e484aae8037ed835230c804abd75308f8ffb9b15e2d7c"},"schema_version":"1.0","source":{"id":"1205.2106","kind":"arxiv","version":1}},"canonical_sha256":"81baa40390b63f10e4cec27449b307f2a6a34b3bcb5f9d78f3485c69fbcbfb4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81baa40390b63f10e4cec27449b307f2a6a34b3bcb5f9d78f3485c69fbcbfb4e","first_computed_at":"2026-05-18T03:55:57.026428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:55:57.026428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YXCzX2Mp6RQz29gnG1qZvmrEeTHynnUzNqYCWym9OPnIBIyrkm/YAIkIuVWKDDMCc/nV5POw/X/uupGhDhggCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:55:57.027096Z","signed_message":"canonical_sha256_bytes"},"source_id":"1205.2106","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51b498657b2789861290e71c0577d269dc5927ee7a5e0b8f8b4785f20c5f9e75","sha256:01bb9cab2e2c5239a755bc50989ad3102876221be72f4f228e240556dc0bd905"],"state_sha256":"22e26ae58031294e2fd3c9aacba42fab2899300b71a2bec8efbd86e320249506"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yxlMlEpPWNEwdgA/MrJekdYf3L5K5V9bYYl040OsN92muvAnxvNwDM2KoOZ7wA+F8ed3DNAAmr1qFWhzrCF1Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T10:54:39.946449Z","bundle_sha256":"8d9628c892a477a45a6020ff36c6ac5312c27c1a6cc7cb3ce6a227e0b2967123"}}