{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AY6QVFKLE3YWFYWO2SV62UA6F4","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":"ad5470f686919173aecde729b3ae62084cd024a7dba620335ed5a79fc5e96a1e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T14:06:15Z","title_canon_sha256":"70497187b7bad72bac3e498d783a0c9fa3812e8d1238467746c50bc444ffb1a6"},"schema_version":"1.0","source":{"id":"2505.21218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21218","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21218v1","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21218","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_12","alias_value":"AY6QVFKLE3YW","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_16","alias_value":"AY6QVFKLE3YWFYWO","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_8","alias_value":"AY6QVFKL","created_at":"2026-07-05T11:10:38Z"}],"graph_snapshots":[{"event_id":"sha256:343b9a50a6e3ca79b57a58b6514fe655dc3a6ba8e8a5e0d187a262da47de0ba2","target":"graph","created_at":"2026-07-05T11:10:38Z","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/2505.21218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models are known to capture real-world knowledge, allowing them to excel in many downstream tasks. Despite recent advances, these models are still prone to what are commonly known as hallucinations, causing them to emit unwanted and factually incorrect text. In this work, we study how well LLMs capture uncertainty, without explicitly being trained for that. We show that, if considering uncertainty as a linear concept in the model's latent space, it might indeed be captured, even after only pretraining. We further show that, though unintuitive, LLMs appear to capture several diff","authors_text":"Gerard de Melo, Omri Fahn, Roi Cohen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T14:06:15Z","title":"Pretrained LLMs Learn Multiple Types of Uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21218","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":"sha256:94f4c0aac5cee0e7794d0b1e52fb76af6e6de78bc5adb4b4816a606e19687992","target":"record","created_at":"2026-07-05T11:10:38Z","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":"ad5470f686919173aecde729b3ae62084cd024a7dba620335ed5a79fc5e96a1e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T14:06:15Z","title_canon_sha256":"70497187b7bad72bac3e498d783a0c9fa3812e8d1238467746c50bc444ffb1a6"},"schema_version":"1.0","source":{"id":"2505.21218","kind":"arxiv","version":1}},"canonical_sha256":"063d0a954b26f162e2ced4abed501e2f0c5f1acf42c040dfc9ff16b901bab1e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"063d0a954b26f162e2ced4abed501e2f0c5f1acf42c040dfc9ff16b901bab1e9","first_computed_at":"2026-07-05T11:10:38.830573Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:38.830573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9y5AVtJ9gLV9SFpSMT87B/63KFZV/KX5J1AFNDNJZpHBGf227ouNXsWkqJQQOyZHkD5UVX8otq8gT7tlqyNIAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:38.831051Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94f4c0aac5cee0e7794d0b1e52fb76af6e6de78bc5adb4b4816a606e19687992","sha256:343b9a50a6e3ca79b57a58b6514fe655dc3a6ba8e8a5e0d187a262da47de0ba2"],"state_sha256":"cb5b9fafcc4295091cf098c9a1159c065e73f87b2bb2b67d1337ed823464022a"}