{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:56GILPPC2GS7QDAKK2WLEKLSCA","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":"9542fd65e9b119a978f1559e710e36b1e46003417e2bd651d10c7c2b37ddb129","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-10-12T21:24:33Z","title_canon_sha256":"b6ac7b5e461ee32dbf57d386274f64d75fda9942e9af5ddb416b29bfea0bc0c8"},"schema_version":"1.0","source":{"id":"1810.05739","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05739","created_at":"2026-05-17T23:45:20Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05739v4","created_at":"2026-05-17T23:45:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05739","created_at":"2026-05-17T23:45:20Z"},{"alias_kind":"pith_short_12","alias_value":"56GILPPC2GS7","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"56GILPPC2GS7QDAK","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"56GILPPC","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:577f42a129e00e8233323ec0171e21fd8a30068f099e89f07cfe59eb6ab1281d","target":"graph","created_at":"2026-05-17T23:45:20Z","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":"Abstractive summarization has been studied using neural sequence transduction methods with datasets of large, paired document-summary examples. However, such datasets are rare and the models trained from them do not generalize to other domains. Recently, some progress has been made in learning sequence-to-sequence mappings with only unpaired examples. In our work, we consider the setting where there are only documents (product or business reviews) with no summaries provided, and propose an end-to-end, neural model architecture to perform unsupervised abstractive summarization. Our proposed mod","authors_text":"Eric Chu, Peter J. Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-10-12T21:24:33Z","title":"MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05739","kind":"arxiv","version":4},"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":"sha256:398d51bb12a7644f0e9f094d602e43322c7d52ca156fa05a2d2929d799576a18","target":"record","created_at":"2026-05-17T23:45:20Z","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":"9542fd65e9b119a978f1559e710e36b1e46003417e2bd651d10c7c2b37ddb129","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-10-12T21:24:33Z","title_canon_sha256":"b6ac7b5e461ee32dbf57d386274f64d75fda9942e9af5ddb416b29bfea0bc0c8"},"schema_version":"1.0","source":{"id":"1810.05739","kind":"arxiv","version":4}},"canonical_sha256":"ef8c85bde2d1a5f80c0a56acb22972103fca610c58fa332478825387f8afbeba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef8c85bde2d1a5f80c0a56acb22972103fca610c58fa332478825387f8afbeba","first_computed_at":"2026-05-17T23:45:20.598948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:20.598948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AGYWM0pedR9nuT+1ttx2DaEwULaS+druuTSHrDSROpMKzffGQJlEtN1WpJ6liI8GfFnVBECR5jQ1zMZH4/ixDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:20.599507Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.05739","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:398d51bb12a7644f0e9f094d602e43322c7d52ca156fa05a2d2929d799576a18","sha256:577f42a129e00e8233323ec0171e21fd8a30068f099e89f07cfe59eb6ab1281d"],"state_sha256":"2594f4e68b74900ec8f35fecd06e1d11595d8ac3af109a914d9f2fee85d16ffd"}