{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X7J73GIDH3IE2L5VHFI7A63RGQ","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":"ca37c8fc61d86dd81768b2f5f526eebc04c3462dc6a539f4175945227576d175","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-20T18:34:04Z","title_canon_sha256":"c306a911112cab45cf536666350f3ec1cde60163e0367a2bc06a7e385c8238ed"},"schema_version":"1.0","source":{"id":"2506.17419","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.17419","created_at":"2026-07-05T11:25:17Z"},{"alias_kind":"arxiv_version","alias_value":"2506.17419v1","created_at":"2026-07-05T11:25:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.17419","created_at":"2026-07-05T11:25:17Z"},{"alias_kind":"pith_short_12","alias_value":"X7J73GIDH3IE","created_at":"2026-07-05T11:25:17Z"},{"alias_kind":"pith_short_16","alias_value":"X7J73GIDH3IE2L5V","created_at":"2026-07-05T11:25:17Z"},{"alias_kind":"pith_short_8","alias_value":"X7J73GID","created_at":"2026-07-05T11:25:17Z"}],"graph_snapshots":[{"event_id":"sha256:e0a204beb6da3b31acde103e791b0919640ba05454efd335a6be66613a42c0ce","target":"graph","created_at":"2026-07-05T11:25:17Z","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/2506.17419/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Large Language Models (LLMs) are integrated into safety-critical applications involving sequential decision-making in the real world, it is essential to know when to trust LLM decisions. Existing LLM Uncertainty Quantification (UQ) methods are primarily designed for single-turn question-answering formats, resulting in multi-step decision-making scenarios, e.g., LLM agentic system, being underexplored. In this paper, we introduce a principled, information-theoretic framework that decomposes LLM sequential decision uncertainty into two parts: (i) internal uncertainty intrinsic to the current ","authors_text":"Bhavya Kailkhura, James Diffenderfer, Jinhao Duan, Kaidi Xu, Sandeep Madireddy, Tianlong Chen","cross_cats":["cs.AI","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-20T18:34:04Z","title":"UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.17419","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":"sha256:03952eb2fc8db30effb488679adf3e715df888d71a7e902472497576aea18a34","target":"record","created_at":"2026-07-05T11:25:17Z","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":"ca37c8fc61d86dd81768b2f5f526eebc04c3462dc6a539f4175945227576d175","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-20T18:34:04Z","title_canon_sha256":"c306a911112cab45cf536666350f3ec1cde60163e0367a2bc06a7e385c8238ed"},"schema_version":"1.0","source":{"id":"2506.17419","kind":"arxiv","version":1}},"canonical_sha256":"bfd3fd99033ed04d2fb53951f07b7134103ab2cd9b5787f09e9c6aca58d53056","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfd3fd99033ed04d2fb53951f07b7134103ab2cd9b5787f09e9c6aca58d53056","first_computed_at":"2026-07-05T11:25:17.423775Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:17.423775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YhVufNs9Dua2OAvU2/tjGIfk+73HC2nWFrGf7M9z19W0s9GUXClp63gjNj8mnpaM7UNX1cWLCSqhYHu1fK3hAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:17.424260Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.17419","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03952eb2fc8db30effb488679adf3e715df888d71a7e902472497576aea18a34","sha256:e0a204beb6da3b31acde103e791b0919640ba05454efd335a6be66613a42c0ce"],"state_sha256":"a0cee1e244a1b1c48704acb7d23630331919d27c0626c48c62390a05969f4b1a"}