{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HISKM452ODBNTYLG7CE7L3AD3Q","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":"5f5c53f05ace3542610574523f3bc767fc21e7c7b88906fa1156200c3d8c3e4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-10-04T15:37:07Z","title_canon_sha256":"94237648edb49d5e9d97175e5d5855cfc411f37fa1b5bde367bf9178d7f2bf1b"},"schema_version":"1.0","source":{"id":"2110.01518","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.01518","created_at":"2026-07-05T03:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"2110.01518v1","created_at":"2026-07-05T03:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.01518","created_at":"2026-07-05T03:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"HISKM452ODBN","created_at":"2026-07-05T03:19:56Z"},{"alias_kind":"pith_short_16","alias_value":"HISKM452ODBNTYLG","created_at":"2026-07-05T03:19:56Z"},{"alias_kind":"pith_short_8","alias_value":"HISKM452","created_at":"2026-07-05T03:19:56Z"}],"graph_snapshots":[{"event_id":"sha256:fd70aede229647580b9faea97329af2bc3ac1c2b2dba6f4b36a3c367e0852ef5","target":"graph","created_at":"2026-07-05T03:19:56Z","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/2110.01518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Much of recent progress in NLU was shown to be due to models' learning dataset-specific heuristics. We conduct a case study of generalization in NLI (from MNLI to the adversarially constructed HANS dataset) in a range of BERT-based architectures (adapters, Siamese Transformers, HEX debiasing), as well as with subsampling the data and increasing the model size. We report 2 successful and 3 unsuccessful strategies, all providing insights into how Transformer-based models learn to generalize.","authors_text":"Aleksandr Drozd, Anna Rogers, Prajjwal Bhargava","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-10-04T15:37:07Z","title":"Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.01518","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":"sha256:5a25712b176385dcd32b1a30e54c475a26cec5065662f8ab0775564369d69812","target":"record","created_at":"2026-07-05T03:19:56Z","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":"5f5c53f05ace3542610574523f3bc767fc21e7c7b88906fa1156200c3d8c3e4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-10-04T15:37:07Z","title_canon_sha256":"94237648edb49d5e9d97175e5d5855cfc411f37fa1b5bde367bf9178d7f2bf1b"},"schema_version":"1.0","source":{"id":"2110.01518","kind":"arxiv","version":1}},"canonical_sha256":"3a24a673ba70c2d9e166f889f5ec03dc3a095739d9e9f350a3fe91873f7905cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a24a673ba70c2d9e166f889f5ec03dc3a095739d9e9f350a3fe91873f7905cb","first_computed_at":"2026-07-05T03:19:56.450695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:19:56.450695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TX5lpiUcB9+eNS5BiNZg4w5WQ8ukCmqB++E7MgC90a12evyZTeAbpi9D6wstJ9E7bA3OCKvp6jNeUvKq7bsvCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:19:56.451090Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.01518","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a25712b176385dcd32b1a30e54c475a26cec5065662f8ab0775564369d69812","sha256:fd70aede229647580b9faea97329af2bc3ac1c2b2dba6f4b36a3c367e0852ef5"],"state_sha256":"547c39c09698b1b08599e3c73c866a4743476256a1dd46d7e70042eff4285b1f"}