{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VG44V6QBQ2H3XP3QL4GNBTBJXX","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":"6d9b51b8c7c0a691a20a33c8bf16a2ea3484ce1a9d05b768e26cfe27359aedd6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-08T18:15:10Z","title_canon_sha256":"8c0916d40b8b20a94bd4c64ec75c486cbf27d6cec80d200df90efe9a253f9cfd"},"schema_version":"1.0","source":{"id":"2501.04661","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.04661","created_at":"2026-06-01T02:03:19Z"},{"alias_kind":"arxiv_version","alias_value":"2501.04661v3","created_at":"2026-06-01T02:03:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.04661","created_at":"2026-06-01T02:03:19Z"},{"alias_kind":"pith_short_12","alias_value":"VG44V6QBQ2H3","created_at":"2026-06-01T02:03:19Z"},{"alias_kind":"pith_short_16","alias_value":"VG44V6QBQ2H3XP3Q","created_at":"2026-06-01T02:03:19Z"},{"alias_kind":"pith_short_8","alias_value":"VG44V6QB","created_at":"2026-06-01T02:03:19Z"}],"graph_snapshots":[{"event_id":"sha256:2033a5ebe487e67d203b392bc706aedd4c1cdd41825ee30ae8e20e6cdcce703b","target":"graph","created_at":"2026-06-01T02:03:19Z","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/2501.04661/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The web-scale of pretraining data has created an important evaluation challenge: to disentangle linguistic competence on cases well-represented in pretraining data from generalization to out-of-domain language, specifically the dynamic, real-world instances less common in pretraining data. To this end, we construct a diagnostic evaluation to systematically assess natural language understanding in LLMs by leveraging Construction Grammar (CxG). CxG provides a psycholinguistically grounded framework for testing generalization, as it explicitly links syntactic forms to abstract, non-lexical meanin","authors_text":"Austin Blodgett, Claire Bonial, Harish Tayyar Madabushi, Melissa Torgbi, Mollie Shichman, Taylor Hudson, Wesley Scivetti","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-08T18:15:10Z","title":"Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.04661","kind":"arxiv","version":3},"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":"sha256:15d7add63a4f3876824dd06cad4743b718ef5d4e44333aa504206f9ba2978396","target":"record","created_at":"2026-06-01T02:03:19Z","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":"6d9b51b8c7c0a691a20a33c8bf16a2ea3484ce1a9d05b768e26cfe27359aedd6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-08T18:15:10Z","title_canon_sha256":"8c0916d40b8b20a94bd4c64ec75c486cbf27d6cec80d200df90efe9a253f9cfd"},"schema_version":"1.0","source":{"id":"2501.04661","kind":"arxiv","version":3}},"canonical_sha256":"a9b9cafa01868fbbbf705f0cd0cc29bdf0eb385c50cadd84b9eff4faefb2bbdb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9b9cafa01868fbbbf705f0cd0cc29bdf0eb385c50cadd84b9eff4faefb2bbdb","first_computed_at":"2026-06-01T02:03:19.189600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T02:03:19.189600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"umhzUAbZGX8s/Bo4oe0lsTgMvr4Xz7Lqn2yIm5XCeugcXyYsEF76DT+kPV6TdupoF1N4TQ7Z1gXMAzwbL57EAA==","signature_status":"signed_v1","signed_at":"2026-06-01T02:03:19.190871Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.04661","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15d7add63a4f3876824dd06cad4743b718ef5d4e44333aa504206f9ba2978396","sha256:2033a5ebe487e67d203b392bc706aedd4c1cdd41825ee30ae8e20e6cdcce703b"],"state_sha256":"2d13205606d70a2ea132b3b6e0b37a1c5d88fac174d7848eae2f6e0eeb958393"}