{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:OXS46RLFZNRL3CTHKYB6O43EA4","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":"7798bdfc2662ec3b7dbf2be90f11a90c67492c6fa86e1edf57bde88f0f8f17e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-07-31T14:37:32Z","title_canon_sha256":"a74629845895a300154d836258cadb5f3b04ebfbcdf8323a119d9564d9a99ad7"},"schema_version":"1.0","source":{"id":"1907.13528","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.13528","created_at":"2026-07-05T01:17:57Z"},{"alias_kind":"arxiv_version","alias_value":"1907.13528v2","created_at":"2026-07-05T01:17:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.13528","created_at":"2026-07-05T01:17:57Z"},{"alias_kind":"pith_short_12","alias_value":"OXS46RLFZNRL","created_at":"2026-07-05T01:17:57Z"},{"alias_kind":"pith_short_16","alias_value":"OXS46RLFZNRL3CTH","created_at":"2026-07-05T01:17:57Z"},{"alias_kind":"pith_short_8","alias_value":"OXS46RLF","created_at":"2026-07-05T01:17:57Z"}],"graph_snapshots":[{"event_id":"sha256:ece3e9208cbcadc9637e3f24a0b9facc27b7dcbbf68a0ea865ec71efd5ba0a6b","target":"graph","created_at":"2026-07-05T01:17:57Z","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/1907.13528/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pre-training by language modeling has become a popular and successful approach to NLP tasks, but we have yet to understand exactly what linguistic capacities these pre-training processes confer upon models. In this paper we introduce a suite of diagnostics drawn from human language experiments, which allow us to ask targeted questions about the information used by language models for generating predictions in context. As a case study, we apply these diagnostics to the popular BERT model, finding that it can generally distinguish good from bad completions involving shared category or role rever","authors_text":"Allyson Ettinger","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-07-31T14:37:32Z","title":"What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.13528","kind":"arxiv","version":2},"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":"sha256:1e2cda1d209cab39402b2063bf085cee0d9208cf9515a3d54d15669959f1185b","target":"record","created_at":"2026-07-05T01:17:57Z","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":"7798bdfc2662ec3b7dbf2be90f11a90c67492c6fa86e1edf57bde88f0f8f17e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-07-31T14:37:32Z","title_canon_sha256":"a74629845895a300154d836258cadb5f3b04ebfbcdf8323a119d9564d9a99ad7"},"schema_version":"1.0","source":{"id":"1907.13528","kind":"arxiv","version":2}},"canonical_sha256":"75e5cf4565cb62bd8a675603e77364070b774ecd81cf2f1a8c82a4b2b632fb45","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75e5cf4565cb62bd8a675603e77364070b774ecd81cf2f1a8c82a4b2b632fb45","first_computed_at":"2026-07-05T01:17:57.396011Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:17:57.396011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GGbc81evHIB312+bvjDMNeNsYoOksZpd5QjhIjWmMVHitQRYn0WRLcm7UmmmLdcttXhid3E2a/ySjERgacCBAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:17:57.396463Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.13528","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e2cda1d209cab39402b2063bf085cee0d9208cf9515a3d54d15669959f1185b","sha256:ece3e9208cbcadc9637e3f24a0b9facc27b7dcbbf68a0ea865ec71efd5ba0a6b"],"state_sha256":"671f5a1a7720327bec0f811ca961237ab998177d31e9cdf7dbfa6c41bfa43e94"}