{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LEZZFYAB5MC5Q2FBRO63CL4UNC","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":"b0c691b0f7c2be61bfec20e5bec6688b1b30ccc7c73c1511ee9ed60270e6d48e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T13:48:16Z","title_canon_sha256":"ae2331d29e03319a9a2d7a047420d8894f6653b98e64c16390f8fbf492f264d8"},"schema_version":"1.0","source":{"id":"2407.18968","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.18968","created_at":"2026-07-05T08:49:11Z"},{"alias_kind":"arxiv_version","alias_value":"2407.18968v1","created_at":"2026-07-05T08:49:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.18968","created_at":"2026-07-05T08:49:11Z"},{"alias_kind":"pith_short_12","alias_value":"LEZZFYAB5MC5","created_at":"2026-07-05T08:49:11Z"},{"alias_kind":"pith_short_16","alias_value":"LEZZFYAB5MC5Q2FB","created_at":"2026-07-05T08:49:11Z"},{"alias_kind":"pith_short_8","alias_value":"LEZZFYAB","created_at":"2026-07-05T08:49:11Z"}],"graph_snapshots":[{"event_id":"sha256:5cde044c5e502f2a7422ca5ab3649a096d9577fc7944789a89873b28f14275a7","target":"graph","created_at":"2026-07-05T08:49:11Z","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/2407.18968/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this project, we test the effectiveness of Large Language Models (LLMs) on the Abstraction and Reasoning Corpus (ARC) dataset. This dataset serves as a representative benchmark for testing abstract reasoning abilities, requiring a fundamental understanding of key concepts such as object identification, basic counting, and elementary geometric principles. Tasks from this dataset are converted into a prompt-based format for evaluation. Initially, we assess the models' potential through a Zero-shot approach. Subsequently, we investigate the application of the Chain-of-Thought (CoT) technique, ","authors_text":"Ethan Baron, Liane Galanti","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T13:48:16Z","title":"Intelligence Analysis of Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.18968","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:f4d5082e49da6705ebcf726663f641a118dab52e399948bf64d3d5669c779b20","target":"record","created_at":"2026-07-05T08:49:11Z","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":"b0c691b0f7c2be61bfec20e5bec6688b1b30ccc7c73c1511ee9ed60270e6d48e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T13:48:16Z","title_canon_sha256":"ae2331d29e03319a9a2d7a047420d8894f6653b98e64c16390f8fbf492f264d8"},"schema_version":"1.0","source":{"id":"2407.18968","kind":"arxiv","version":1}},"canonical_sha256":"593392e001eb05d868a18bbdb12f9468aceb59abaf998b0faaec38e561da155c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"593392e001eb05d868a18bbdb12f9468aceb59abaf998b0faaec38e561da155c","first_computed_at":"2026-07-05T08:49:11.734385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:49:11.734385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AW/SjglPOeOkSOJrFgbgcBPI36qVvVoQGaIxk7fpu+ooYBrx0NT/GEazTWzBZ7d5BV62zPF4Otm2Elu0jGR4Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:49:11.734733Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.18968","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4d5082e49da6705ebcf726663f641a118dab52e399948bf64d3d5669c779b20","sha256:5cde044c5e502f2a7422ca5ab3649a096d9577fc7944789a89873b28f14275a7"],"state_sha256":"0259555b2a00c0de24b1c873a4c7816294f1834f5cc7e55f661bc07a38178c34"}