{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZJHDWRUPPJIZEFRKLZ6DEO5VDB","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":"2131dc21e2d3d3e77a1e782684615da36399b81fec54bea38a0ba163535cbfc3","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-10-09T23:06:17Z","title_canon_sha256":"abea019a362708e69ed46f6449391e5f21de6d839e4972723fea90bcfedc2277"},"schema_version":"1.0","source":{"id":"1710.03346","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.03346","created_at":"2026-05-18T00:33:12Z"},{"alias_kind":"arxiv_version","alias_value":"1710.03346v1","created_at":"2026-05-18T00:33:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.03346","created_at":"2026-05-18T00:33:12Z"},{"alias_kind":"pith_short_12","alias_value":"ZJHDWRUPPJIZ","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZJHDWRUPPJIZEFRK","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZJHDWRUP","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:3e5863c83b6ad23d4e8fc5bee1bd86d6231df6b9e4ad20c33290a602396b7d08","target":"graph","created_at":"2026-05-18T00:33:12Z","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":"Natural language place descriptions in everyday communication provide a rich source of spatial knowledge about places. An important step to utilize such knowledge in information systems is geo-referencing all the places referred to in these descriptions. Current techniques for geo-referencing places from text documents are using place name recognition and disambiguation; however, place descriptions often contain place references that are not known by gazetteers, or that are expressed in other, more flexible ways. Hence, the approach for geo-referencing presented in this paper starts from a pla","authors_text":"Hao Chen, Maria Vasardani, Stephan Winter","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-10-09T23:06:17Z","title":"Geo-referencing Place from Everyday Natural Language Descriptions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.03346","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":"sha256:267c8e4f2d21e2ff7e69c7d36e80df84e74640a84465a7472862b8d43fbcbdbb","target":"record","created_at":"2026-05-18T00:33:12Z","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":"2131dc21e2d3d3e77a1e782684615da36399b81fec54bea38a0ba163535cbfc3","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-10-09T23:06:17Z","title_canon_sha256":"abea019a362708e69ed46f6449391e5f21de6d839e4972723fea90bcfedc2277"},"schema_version":"1.0","source":{"id":"1710.03346","kind":"arxiv","version":1}},"canonical_sha256":"ca4e3b468f7a5192162a5e7c323bb5185aaac6c453d7ee8dda0caa48b06f7dab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca4e3b468f7a5192162a5e7c323bb5185aaac6c453d7ee8dda0caa48b06f7dab","first_computed_at":"2026-05-18T00:33:12.324023Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:12.324023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yD3ew1MxJRqCJ9PQ5eROUx636HCWDH/jRik2crdRTwQ/BVlNZX/IoVdKjXsuIwm1OoNVhvsDKc5LQ9VuRFJqAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:12.324584Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.03346","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:267c8e4f2d21e2ff7e69c7d36e80df84e74640a84465a7472862b8d43fbcbdbb","sha256:3e5863c83b6ad23d4e8fc5bee1bd86d6231df6b9e4ad20c33290a602396b7d08"],"state_sha256":"7b437225c083d0a6d09b9128bf3f5048370bbfb71f712a86d6a4bca25d0fac99"}