{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:REMZKOYJQQTDVUUAB6TYM6MR5A","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":"afd48086d8ab90435f0b24f5809da86339ae063f1a496c62e77b4b95c5d6a952","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2017-08-30T04:24:06Z","title_canon_sha256":"21ecf25262ad63664d4b31800437920dc3bf38a28dda628f7c83a855ce572668"},"schema_version":"1.0","source":{"id":"1709.00389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.00389","created_at":"2026-05-18T00:36:10Z"},{"alias_kind":"arxiv_version","alias_value":"1709.00389v1","created_at":"2026-05-18T00:36:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.00389","created_at":"2026-05-18T00:36:10Z"},{"alias_kind":"pith_short_12","alias_value":"REMZKOYJQQTD","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"REMZKOYJQQTDVUUA","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"REMZKOYJ","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:284a0e7bf5c513c2a2a97b618e272af8cc99434f360618b5d8ef4bece0869ba2","target":"graph","created_at":"2026-05-18T00:36:10Z","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":"Effectively making sense of short texts is a critical task for many real world applications such as search engines, social media services, and recommender systems. The task is particularly challenging as a short text contains very sparse information, often too sparse for a machine learning algorithm to pick up useful signals. A common practice for analyzing short text is to first expand it with external information, which is usually harvested from a large collection of longer texts. In literature, short text expansion has been done with all kinds of heuristics. We propose an end-to-end solutio","authors_text":"Jian Tang, Kai Zheng, Qiaozhu Mei, Yue Wang","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2017-08-30T04:24:06Z","title":"End-to-end Learning for Short Text Expansion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.00389","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":"sha256:5c79aa941e3eeb6ae167d18a4219844d0741a805babab2f2a6339d0b408caae0","target":"record","created_at":"2026-05-18T00:36:10Z","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":"afd48086d8ab90435f0b24f5809da86339ae063f1a496c62e77b4b95c5d6a952","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2017-08-30T04:24:06Z","title_canon_sha256":"21ecf25262ad63664d4b31800437920dc3bf38a28dda628f7c83a855ce572668"},"schema_version":"1.0","source":{"id":"1709.00389","kind":"arxiv","version":1}},"canonical_sha256":"8919953b0984263ad2800fa7867991e815bec81673194e5bc6a7e37cdc7431b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8919953b0984263ad2800fa7867991e815bec81673194e5bc6a7e37cdc7431b5","first_computed_at":"2026-05-18T00:36:10.484266Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:10.484266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jDAJeq3PFQSQMWZJWkA4g4o2A7qb7HOZKmSvfJS5m/AtRVDC5OeU0+HduiR+mll9cLn3VoYSkQx9xuUCwl3jDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:10.484917Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.00389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c79aa941e3eeb6ae167d18a4219844d0741a805babab2f2a6339d0b408caae0","sha256:284a0e7bf5c513c2a2a97b618e272af8cc99434f360618b5d8ef4bece0869ba2"],"state_sha256":"2894a6c7a713b22c64bd22f3d23e21ca154e474a706e0b73fca73e9f6087d7b4"}