{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:F2JRTSH22HC6DO6P7MVXJB54AZ","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":"9f87581178868f6766772a093fb528e8eab3d0ff88c216823c5a7a3c72b0b59f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2017-05-08T05:50:47Z","title_canon_sha256":"91837b9437a0a2469e7728a025653d306ced4a232008ed2f691f24e6897e850d"},"schema_version":"1.0","source":{"id":"1705.02750","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02750","created_at":"2026-05-18T00:44:53Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02750v1","created_at":"2026-05-18T00:44:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02750","created_at":"2026-05-18T00:44:53Z"},{"alias_kind":"pith_short_12","alias_value":"F2JRTSH22HC6","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"F2JRTSH22HC6DO6P","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"F2JRTSH2","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:284c646930ae56b0d1dd435e698a8ec756755f79f20265bbd59771d919f2a76a","target":"graph","created_at":"2026-05-18T00:44:53Z","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":"Nowadays, geographic information related to Twitter is crucially important for fine-grained applications. However, the amount of geographic information avail- able on Twitter is low, which makes the pursuit of many applications challenging. Under such circumstances, estimating the location of a tweet is an important goal of the study. Unlike most previous studies that estimate the pre-defined district as the classification task, this study employs a probability distribution to represent richer information of the tweet, not only the location but also its ambiguity. To realize this modeling, we ","authors_text":"Eiji Aramaki, Hayate Iso, Shoko Wakamiya","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2017-05-08T05:50:47Z","title":"Density Estimation for Geolocation via Convolutional Mixture Density Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02750","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":"sha256:7f167fd2e51400d1e8ce7855a7399c83730105545b878c7d21b6a523b234bec8","target":"record","created_at":"2026-05-18T00:44:53Z","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":"9f87581178868f6766772a093fb528e8eab3d0ff88c216823c5a7a3c72b0b59f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2017-05-08T05:50:47Z","title_canon_sha256":"91837b9437a0a2469e7728a025653d306ced4a232008ed2f691f24e6897e850d"},"schema_version":"1.0","source":{"id":"1705.02750","kind":"arxiv","version":1}},"canonical_sha256":"2e9319c8fad1c5e1bbcffb2b7487bc0654de87f1bd4ed020e21838226d5fa8a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e9319c8fad1c5e1bbcffb2b7487bc0654de87f1bd4ed020e21838226d5fa8a5","first_computed_at":"2026-05-18T00:44:53.753179Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:53.753179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y/39SoF0lPA6fKo7wO9gQ4YOkvL6zbtvYb78H8Mfh/kZxsvgM9g4mrztv9TzohPhzQb8nUQvBGpnZrLd3/qPBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:53.753853Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.02750","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f167fd2e51400d1e8ce7855a7399c83730105545b878c7d21b6a523b234bec8","sha256:284c646930ae56b0d1dd435e698a8ec756755f79f20265bbd59771d919f2a76a"],"state_sha256":"eb225a6def64f6bf98dee1d44ea6016199414858a618ef28f22bb5348cd2e5e5"}