{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KLBLJZQEYXR23YWS2XPT4ZQDGV","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":"9b74f9285cb763d0af083200cd42c028aea54d68a7b5ebf364256af7fedd7048","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T20:37:55Z","title_canon_sha256":"93907ed352a2e8f5d35c31aec58146833d9708d09bd3b8b92d03066979bb1130"},"schema_version":"1.0","source":{"id":"2406.14722","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.14722","created_at":"2026-07-05T10:02:47Z"},{"alias_kind":"arxiv_version","alias_value":"2406.14722v3","created_at":"2026-07-05T10:02:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14722","created_at":"2026-07-05T10:02:47Z"},{"alias_kind":"pith_short_12","alias_value":"KLBLJZQEYXR2","created_at":"2026-07-05T10:02:47Z"},{"alias_kind":"pith_short_16","alias_value":"KLBLJZQEYXR23YWS","created_at":"2026-07-05T10:02:47Z"},{"alias_kind":"pith_short_8","alias_value":"KLBLJZQE","created_at":"2026-07-05T10:02:47Z"}],"graph_snapshots":[{"event_id":"sha256:4d68b2eae12c89d9fbd6be54f3e51085da54ba7c3b8371b718f037f131cb88f3","target":"graph","created_at":"2026-07-05T10:02:47Z","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/2406.14722/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Large Language Models (LLMs) perform (and sometimes excel at) more and more complex cognitive tasks, a natural question is whether AI really understands. The study of understanding in LLMs is in its infancy, and the community has yet to incorporate well-trodden research in philosophy, psychology, and education. We initiate this, specifically focusing on understanding algorithms, and propose a hierarchy of levels of understanding. We use the hierarchy to design and conduct a study with human subjects (undergraduate and graduate students) as well as large language models (generations of GPT),","authors_text":"Mirabel Reid, Santosh S. Vempala","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T20:37:55Z","title":"Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14722","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":"sha256:7071315c6ebef381b349bd5cb8f1f6477719fae4527eac245d932b7990a4f231","target":"record","created_at":"2026-07-05T10:02:47Z","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":"9b74f9285cb763d0af083200cd42c028aea54d68a7b5ebf364256af7fedd7048","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T20:37:55Z","title_canon_sha256":"93907ed352a2e8f5d35c31aec58146833d9708d09bd3b8b92d03066979bb1130"},"schema_version":"1.0","source":{"id":"2406.14722","kind":"arxiv","version":3}},"canonical_sha256":"52c2b4e604c5e3ade2d2d5df3e6603355cbb74edc6cae45951a63af791dd6583","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52c2b4e604c5e3ade2d2d5df3e6603355cbb74edc6cae45951a63af791dd6583","first_computed_at":"2026-07-05T10:02:47.495140Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:47.495140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kqiu1Eb8OMpmrnAxpNrAO/gUmQMcS6BNLbmbJqNX65DrwG6lFgKBD/FLoKZNVfF05Bb1P6RD9IZyK8/HXrONCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:47.495603Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.14722","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7071315c6ebef381b349bd5cb8f1f6477719fae4527eac245d932b7990a4f231","sha256:4d68b2eae12c89d9fbd6be54f3e51085da54ba7c3b8371b718f037f131cb88f3"],"state_sha256":"9d7f7ab7661ea4077b02030204849a4fe28261d4e05d404617f4f840256f6a81"}