{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:UFEO43PFYRAEU2WI3XN2N46JUR","short_pith_number":"pith:UFEO43PF","canonical_record":{"source":{"id":"1401.2517","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2014-01-11T10:35:37Z","cross_cats_sorted":[],"title_canon_sha256":"d325d330b4f4c2a250ceebacdf3dc3a8b9b41d3573ff9f93ed25486efe0b9cce","abstract_canon_sha256":"3e76371e74271e3371f18838d157fec88969376c284db21009307753da8df32e"},"schema_version":"1.0"},"canonical_sha256":"a148ee6de5c4404a6ac8dddba6f3c9a46707ec83ca055ce3154bc48f4c0c6093","source":{"kind":"arxiv","id":"1401.2517","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.2517","created_at":"2026-05-18T03:02:33Z"},{"alias_kind":"arxiv_version","alias_value":"1401.2517v1","created_at":"2026-05-18T03:02:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.2517","created_at":"2026-05-18T03:02:33Z"},{"alias_kind":"pith_short_12","alias_value":"UFEO43PFYRAE","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"UFEO43PFYRAEU2WI","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"UFEO43PF","created_at":"2026-05-18T12:28:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:UFEO43PFYRAEU2WI3XN2N46JUR","target":"record","payload":{"canonical_record":{"source":{"id":"1401.2517","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2014-01-11T10:35:37Z","cross_cats_sorted":[],"title_canon_sha256":"d325d330b4f4c2a250ceebacdf3dc3a8b9b41d3573ff9f93ed25486efe0b9cce","abstract_canon_sha256":"3e76371e74271e3371f18838d157fec88969376c284db21009307753da8df32e"},"schema_version":"1.0"},"canonical_sha256":"a148ee6de5c4404a6ac8dddba6f3c9a46707ec83ca055ce3154bc48f4c0c6093","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:02:33.224491Z","signature_b64":"oJLekpnZpqahTm11Rd5W9edEq0OH65TM1S2zYS6q0Bu/XGVtE1FCVtIERvC3jQK7/Clo6DaJCAEtd7IBTFm+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a148ee6de5c4404a6ac8dddba6f3c9a46707ec83ca055ce3154bc48f4c0c6093","last_reissued_at":"2026-05-18T03:02:33.223673Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:02:33.223673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1401.2517","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":"2026-05-18T03:02:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9N7bk1G98pQkCFoLZ4lbOvNsTNzPWndb2ev9rXW7SMIBmwFGY9KV3ilSrkacuTJ4HkBqAv5d5NBKPJkbIBIbCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T07:28:48.309296Z"},"content_sha256":"80a5439a9544ab7fca1416001b605844ab29f0cc33c2f5ace996a9a7ef9d069d","schema_version":"1.0","event_id":"sha256:80a5439a9544ab7fca1416001b605844ab29f0cc33c2f5ace996a9a7ef9d069d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:UFEO43PFYRAEU2WI3XN2N46JUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The semantic similarity ensemble","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andrea Ballatore, David C. Wilson, Michela Bertolotto","submitted_at":"2014-01-11T10:35:37Z","abstract_excerpt":"Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. To date, a wide variety of approaches to geo-semantic similarity have been devised. A judgment of similarity is not intrinsically right or wrong, but obtains a certain degree of cognitive plausibility, depending on how closely it mimics human behavior. Thus selecting the most appropriate measure for a specific task is a significant challenge. To address this issue, we make an analogy between computational similarity m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.2517","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":"2026-05-18T03:02:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HYWfhfmV4Jr/41h1N/yvOtot+bsrVrs+OvHFBWJLJjBuiTjiz9ZY36HuHsX8/2iPOuJFSRuG/Kh3kIKah8j+CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T07:28:48.309657Z"},"content_sha256":"b54532011af6d8fa45461392de8e6e831577697b38b9f9b4e214b7ab94805e11","schema_version":"1.0","event_id":"sha256:b54532011af6d8fa45461392de8e6e831577697b38b9f9b4e214b7ab94805e11"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UFEO43PFYRAEU2WI3XN2N46JUR/bundle.json","state_url":"https://pith.science/pith/UFEO43PFYRAEU2WI3XN2N46JUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UFEO43PFYRAEU2WI3XN2N46JUR/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":"2026-06-28T07:28:48Z","links":{"resolver":"https://pith.science/pith/UFEO43PFYRAEU2WI3XN2N46JUR","bundle":"https://pith.science/pith/UFEO43PFYRAEU2WI3XN2N46JUR/bundle.json","state":"https://pith.science/pith/UFEO43PFYRAEU2WI3XN2N46JUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UFEO43PFYRAEU2WI3XN2N46JUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:UFEO43PFYRAEU2WI3XN2N46JUR","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":"3e76371e74271e3371f18838d157fec88969376c284db21009307753da8df32e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2014-01-11T10:35:37Z","title_canon_sha256":"d325d330b4f4c2a250ceebacdf3dc3a8b9b41d3573ff9f93ed25486efe0b9cce"},"schema_version":"1.0","source":{"id":"1401.2517","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.2517","created_at":"2026-05-18T03:02:33Z"},{"alias_kind":"arxiv_version","alias_value":"1401.2517v1","created_at":"2026-05-18T03:02:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.2517","created_at":"2026-05-18T03:02:33Z"},{"alias_kind":"pith_short_12","alias_value":"UFEO43PFYRAE","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"UFEO43PFYRAEU2WI","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"UFEO43PF","created_at":"2026-05-18T12:28:52Z"}],"graph_snapshots":[{"event_id":"sha256:b54532011af6d8fa45461392de8e6e831577697b38b9f9b4e214b7ab94805e11","target":"graph","created_at":"2026-05-18T03:02:33Z","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"},"paper":{"abstract_excerpt":"Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. To date, a wide variety of approaches to geo-semantic similarity have been devised. A judgment of similarity is not intrinsically right or wrong, but obtains a certain degree of cognitive plausibility, depending on how closely it mimics human behavior. Thus selecting the most appropriate measure for a specific task is a significant challenge. To address this issue, we make an analogy between computational similarity m","authors_text":"Andrea Ballatore, David C. Wilson, Michela Bertolotto","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2014-01-11T10:35:37Z","title":"The semantic similarity ensemble"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.2517","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":"sha256:80a5439a9544ab7fca1416001b605844ab29f0cc33c2f5ace996a9a7ef9d069d","target":"record","created_at":"2026-05-18T03:02:33Z","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":"3e76371e74271e3371f18838d157fec88969376c284db21009307753da8df32e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2014-01-11T10:35:37Z","title_canon_sha256":"d325d330b4f4c2a250ceebacdf3dc3a8b9b41d3573ff9f93ed25486efe0b9cce"},"schema_version":"1.0","source":{"id":"1401.2517","kind":"arxiv","version":1}},"canonical_sha256":"a148ee6de5c4404a6ac8dddba6f3c9a46707ec83ca055ce3154bc48f4c0c6093","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a148ee6de5c4404a6ac8dddba6f3c9a46707ec83ca055ce3154bc48f4c0c6093","first_computed_at":"2026-05-18T03:02:33.223673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:02:33.223673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oJLekpnZpqahTm11Rd5W9edEq0OH65TM1S2zYS6q0Bu/XGVtE1FCVtIERvC3jQK7/Clo6DaJCAEtd7IBTFm+BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:02:33.224491Z","signed_message":"canonical_sha256_bytes"},"source_id":"1401.2517","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:80a5439a9544ab7fca1416001b605844ab29f0cc33c2f5ace996a9a7ef9d069d","sha256:b54532011af6d8fa45461392de8e6e831577697b38b9f9b4e214b7ab94805e11"],"state_sha256":"a5328392eb62b02adf2279a306a3d9ce31d4d5570b98863ba4dda9bf4c9db9de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ahuiQzWnjH3glyzashHAIEiKwoMmOpNlCaOc01KfR3NlDnwzRIt1+IbqKutqhqJU0XIsMVt0DT6OOCWDuIdACA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T07:28:48.311563Z","bundle_sha256":"69ac0efb07ed7948ba744bd11f15876e551e0256dce083e500d538abbeb79e25"}}