{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W34WDGTHGDBY7NNM3CH7GSBVDP","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":"b6a507ded04a31442203e502fce1189d242cba47905af2460b604f0d7cec82f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T07:30:01Z","title_canon_sha256":"8007babad405f1a5f9a859ff735201cca0d783fae701f24f20b833ba5f28b8f7"},"schema_version":"1.0","source":{"id":"2509.04866","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04866","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04866v1","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04866","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"W34WDGTHGDBY","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"W34WDGTHGDBY7NNM","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"W34WDGTH","created_at":"2026-07-05T12:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:aa785a715d2e390435ea8fa03130c3b08079c3d8c898a55dd866a82a31b64fa0","target":"graph","created_at":"2026-07-05T12:05:31Z","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/2509.04866/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Driven by vast and diverse textual data, large language models (LLMs) have demonstrated impressive performance across numerous natural language processing (NLP) tasks. Yet, a critical question persists: does their generalization arise from mere memorization of training data or from deep semantic understanding? To investigate this, we propose a bi-perspective evaluation framework to assess LLMs' scenario cognition - the ability to link semantic scenario elements with their arguments in context. Specifically, we introduce a novel scenario-based dataset comprising diverse textual descriptions of ","authors_text":"Boxiang Ma, Hongye Tan, Ru Li, Xiaoli Li, Yuanlong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T07:30:01Z","title":"Memorization $\\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04866","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":"sha256:519c880014da9b94a74f5a67d87ac351c1f10c7504424b4e8d38d13c3ace3bcb","target":"record","created_at":"2026-07-05T12:05:31Z","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":"b6a507ded04a31442203e502fce1189d242cba47905af2460b604f0d7cec82f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T07:30:01Z","title_canon_sha256":"8007babad405f1a5f9a859ff735201cca0d783fae701f24f20b833ba5f28b8f7"},"schema_version":"1.0","source":{"id":"2509.04866","kind":"arxiv","version":1}},"canonical_sha256":"b6f9619a6730c38fb5acd88ff348351bd162a28dce11b0b4552c7dca307159cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6f9619a6730c38fb5acd88ff348351bd162a28dce11b0b4552c7dca307159cf","first_computed_at":"2026-07-05T12:05:31.220443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:31.220443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DLJio/oOZWk/NiXIphnFcrr9iOIcKzBybAvseQVjEh7o8hl2d2SaGr9CHZsb9ouIgNIPrfPa1BvypcUXu9w2Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:31.220848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04866","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:519c880014da9b94a74f5a67d87ac351c1f10c7504424b4e8d38d13c3ace3bcb","sha256:aa785a715d2e390435ea8fa03130c3b08079c3d8c898a55dd866a82a31b64fa0"],"state_sha256":"8103c01cc6dc1089a4f390ae3994448f9c02e050f7bd54e69c0e91974f52a8c0"}