{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:32MZHW5TFZPAPF6HYBBID3E4YY","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":"2850bf76606ad03afc00768857e7fbda2e37d981d01a8f5d7a7abe067a3e0039","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-13T17:20:51Z","title_canon_sha256":"fcabacb164580ad5f02c530aea390966b6beee94aef316d5f388420bd49c37a6"},"schema_version":"1.0","source":{"id":"1908.04755","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.04755","created_at":"2026-07-04T23:55:16Z"},{"alias_kind":"arxiv_version","alias_value":"1908.04755v1","created_at":"2026-07-04T23:55:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.04755","created_at":"2026-07-04T23:55:16Z"},{"alias_kind":"pith_short_12","alias_value":"32MZHW5TFZPA","created_at":"2026-07-04T23:55:16Z"},{"alias_kind":"pith_short_16","alias_value":"32MZHW5TFZPAPF6H","created_at":"2026-07-04T23:55:16Z"},{"alias_kind":"pith_short_8","alias_value":"32MZHW5T","created_at":"2026-07-04T23:55:16Z"}],"graph_snapshots":[{"event_id":"sha256:37fc7e179cced4a9cdf61be746738dde97269a43242f678b83c183b18e35d3ce","target":"graph","created_at":"2026-07-04T23:55:16Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.04755/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Previous work on bridging anaphora recognition (Hou et al., 2013a) casts the problem as a subtask of learning fine-grained information status (IS). However, these systems heavily depend on many hand-crafted linguistic features. In this paper, we propose a discourse context-aware self-attention neural network model for fine-grained IS classification. On the ISNotes corpus (Markert et al., 2012), our model with the contextually-encoded word representations (BERT) (Devlin et al., 2018) achieves new state-of-the-art performances on fine-grained IS classification, obtaining a 4.1% absolute overall ","authors_text":"Yufang Hou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-13T17:20:51Z","title":"Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.04755","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":"sha256:1832ad18b13c77deac9865ff2cbf7eda9d1b19c2aae2a2bbc4ece1ebf22108e2","target":"record","created_at":"2026-07-04T23:55:16Z","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":"2850bf76606ad03afc00768857e7fbda2e37d981d01a8f5d7a7abe067a3e0039","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-13T17:20:51Z","title_canon_sha256":"fcabacb164580ad5f02c530aea390966b6beee94aef316d5f388420bd49c37a6"},"schema_version":"1.0","source":{"id":"1908.04755","kind":"arxiv","version":1}},"canonical_sha256":"de9993dbb32e5e0797c7c04281ec9cc62385ca6877c220317a771810ae246e75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de9993dbb32e5e0797c7c04281ec9cc62385ca6877c220317a771810ae246e75","first_computed_at":"2026-07-04T23:55:16.167437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:55:16.167437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8GGrqP4FiActZEPLFEgQwRHvoYhzvLiRLcpOFSolMxbyBiiYe4s5Gb22bwakFWq8wx9JOZEF7T9Q39gyZqiKBA==","signature_status":"signed_v1","signed_at":"2026-07-04T23:55:16.167842Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.04755","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1832ad18b13c77deac9865ff2cbf7eda9d1b19c2aae2a2bbc4ece1ebf22108e2","sha256:37fc7e179cced4a9cdf61be746738dde97269a43242f678b83c183b18e35d3ce"],"state_sha256":"207c336680e0195e1eca3237ccc02877063fd709eda0159cdb4cf6c45b42d396"}