{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BYOQDIU37QJ7CSCJGNOQK6NARH","short_pith_number":"pith:BYOQDIU3","canonical_record":{"source":{"id":"2606.22252","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-20T22:34:29Z","cross_cats_sorted":["cs.CY","stat.AP","stat.ME"],"title_canon_sha256":"df08dd8894710ff0824233ed9ca4f4fcb071fc6337623f601723da75672f955c","abstract_canon_sha256":"7e5bb1a2d704719cf5d9b8752b9bfcaedb747ea9a39a9c589f110bc0e3466b8d"},"schema_version":"1.0"},"canonical_sha256":"0e1d01a29bfc13f14849335d0579a089c45676db262176d92c1bfb2722fbee9d","source":{"kind":"arxiv","id":"2606.22252","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22252","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22252v1","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22252","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"pith_short_12","alias_value":"BYOQDIU37QJ7","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"pith_short_16","alias_value":"BYOQDIU37QJ7CSCJ","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"pith_short_8","alias_value":"BYOQDIU3","created_at":"2026-06-23T02:13:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BYOQDIU37QJ7CSCJGNOQK6NARH","target":"record","payload":{"canonical_record":{"source":{"id":"2606.22252","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-20T22:34:29Z","cross_cats_sorted":["cs.CY","stat.AP","stat.ME"],"title_canon_sha256":"df08dd8894710ff0824233ed9ca4f4fcb071fc6337623f601723da75672f955c","abstract_canon_sha256":"7e5bb1a2d704719cf5d9b8752b9bfcaedb747ea9a39a9c589f110bc0e3466b8d"},"schema_version":"1.0"},"canonical_sha256":"0e1d01a29bfc13f14849335d0579a089c45676db262176d92c1bfb2722fbee9d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:33.108378Z","signature_b64":"YzQAX/W4J8DpGwb7s3pIbaJAfbp5tbVV2UDCDtFT4JojHDivqmOqZ0aQgfLiP3Uqu0PZnjXg7qp2lOMwqIawAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e1d01a29bfc13f14849335d0579a089c45676db262176d92c1bfb2722fbee9d","last_reissued_at":"2026-06-23T02:13:33.107934Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:33.107934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.22252","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":"2026-06-23T02:13:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x/1B9wd3TscVYBFqkm3RyadwRnd2eDXgIGphHcEpxo6IZVbtL2PAdoKIF8WPfWIPs2jf7xVkhQCyeI8Gg+s5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T10:54:54.455137Z"},"content_sha256":"6b32bcb3539ed675da43c9d21519d7ba853d34dd761b815026472d0b105b22af","schema_version":"1.0","event_id":"sha256:6b32bcb3539ed675da43c9d21519d7ba853d34dd761b815026472d0b105b22af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BYOQDIU37QJ7CSCJGNOQK6NARH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evolving Spatial Weights for Cartographic Synthesis","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CY","stat.AP","stat.ME"],"primary_cat":"cs.LG","authors_text":"Alexandre C. B. Delbem, Antonio M. Saraiva, Eric K. Tokuda, Gesiel R. Lopes, Mellina Yamamura, Roberto F. da Silva, Sergio H. V. L. de Mattos","submitted_at":"2026-06-20T22:34:29Z","abstract_excerpt":"The integration of multiple thematic data layers into a single composite map, known as the cartographic synthesis problem, is typically addressed through expert-driven weighting schemes. This study presents a multi-objective formulation of cartographic synthesis grounded in spatial autocorrelation structure. We develop a bi-objective evolutionary framework, GIS-moGA, that estimates layer weights by simultaneously maximizing global spatial structure, measured by Global Moran's I, and minimizing local spatial heterogeneity, measured by the variance of Local Indicators of Spatial Association (LIS"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22252","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.22252/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-06-23T02:13:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v8ui77cN+RKKwJXShgKFPOycKUzea7xXLv9c6oWCFQgZNXaIe96GwSsbSTZ3OVzRoQbrpyDh4mct4oC28ApRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T10:54:54.455528Z"},"content_sha256":"0ae1d4c55c4786510f0a1c480b89583ec5067adb28a7f8065898555c5a0bf490","schema_version":"1.0","event_id":"sha256:0ae1d4c55c4786510f0a1c480b89583ec5067adb28a7f8065898555c5a0bf490"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BYOQDIU37QJ7CSCJGNOQK6NARH/bundle.json","state_url":"https://pith.science/pith/BYOQDIU37QJ7CSCJGNOQK6NARH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BYOQDIU37QJ7CSCJGNOQK6NARH/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":"2026-06-27T10:54:54Z","links":{"resolver":"https://pith.science/pith/BYOQDIU37QJ7CSCJGNOQK6NARH","bundle":"https://pith.science/pith/BYOQDIU37QJ7CSCJGNOQK6NARH/bundle.json","state":"https://pith.science/pith/BYOQDIU37QJ7CSCJGNOQK6NARH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BYOQDIU37QJ7CSCJGNOQK6NARH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BYOQDIU37QJ7CSCJGNOQK6NARH","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":"7e5bb1a2d704719cf5d9b8752b9bfcaedb747ea9a39a9c589f110bc0e3466b8d","cross_cats_sorted":["cs.CY","stat.AP","stat.ME"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-20T22:34:29Z","title_canon_sha256":"df08dd8894710ff0824233ed9ca4f4fcb071fc6337623f601723da75672f955c"},"schema_version":"1.0","source":{"id":"2606.22252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22252","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22252v1","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22252","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"pith_short_12","alias_value":"BYOQDIU37QJ7","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"pith_short_16","alias_value":"BYOQDIU37QJ7CSCJ","created_at":"2026-06-23T02:13:33Z"},{"alias_kind":"pith_short_8","alias_value":"BYOQDIU3","created_at":"2026-06-23T02:13:33Z"}],"graph_snapshots":[{"event_id":"sha256:0ae1d4c55c4786510f0a1c480b89583ec5067adb28a7f8065898555c5a0bf490","target":"graph","created_at":"2026-06-23T02:13:33Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.22252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of multiple thematic data layers into a single composite map, known as the cartographic synthesis problem, is typically addressed through expert-driven weighting schemes. This study presents a multi-objective formulation of cartographic synthesis grounded in spatial autocorrelation structure. We develop a bi-objective evolutionary framework, GIS-moGA, that estimates layer weights by simultaneously maximizing global spatial structure, measured by Global Moran's I, and minimizing local spatial heterogeneity, measured by the variance of Local Indicators of Spatial Association (LIS","authors_text":"Alexandre C. B. Delbem, Antonio M. Saraiva, Eric K. Tokuda, Gesiel R. Lopes, Mellina Yamamura, Roberto F. da Silva, Sergio H. V. L. de Mattos","cross_cats":["cs.CY","stat.AP","stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-20T22:34:29Z","title":"Evolving Spatial Weights for Cartographic Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22252","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":"sha256:6b32bcb3539ed675da43c9d21519d7ba853d34dd761b815026472d0b105b22af","target":"record","created_at":"2026-06-23T02:13:33Z","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":"7e5bb1a2d704719cf5d9b8752b9bfcaedb747ea9a39a9c589f110bc0e3466b8d","cross_cats_sorted":["cs.CY","stat.AP","stat.ME"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-20T22:34:29Z","title_canon_sha256":"df08dd8894710ff0824233ed9ca4f4fcb071fc6337623f601723da75672f955c"},"schema_version":"1.0","source":{"id":"2606.22252","kind":"arxiv","version":1}},"canonical_sha256":"0e1d01a29bfc13f14849335d0579a089c45676db262176d92c1bfb2722fbee9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e1d01a29bfc13f14849335d0579a089c45676db262176d92c1bfb2722fbee9d","first_computed_at":"2026-06-23T02:13:33.107934Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:33.107934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YzQAX/W4J8DpGwb7s3pIbaJAfbp5tbVV2UDCDtFT4JojHDivqmOqZ0aQgfLiP3Uqu0PZnjXg7qp2lOMwqIawAg==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:33.108378Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.22252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b32bcb3539ed675da43c9d21519d7ba853d34dd761b815026472d0b105b22af","sha256:0ae1d4c55c4786510f0a1c480b89583ec5067adb28a7f8065898555c5a0bf490"],"state_sha256":"44e444143370b73acf875fdd4535604075f069986c16c78235c25065e61482ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jKF+zOtpj2oNhpDWEB3W1eh5+2b8wNNCHSUwEQSM96kBJmtLQdN4eOEJgp9XQRKdtDaIHA8m1S6o8z47Xec2AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T10:54:54.457509Z","bundle_sha256":"fda6da651d82cfd46b700477d4f18e77d720e92f5b9fb4a140f5f33398d733ec"}}