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Paper Citation Record · LEDGER

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 12 inbound Pith citation observations for arXiv:2506.17419.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.17419 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:17:00.683100Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:10:55.339700Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T03:39:30.656744Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8476c3e-212f-4594-97cf-a2dfbb875ad8 · outbound

This paper cites write newline.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.491178Z digest=sha256:fb883623381aefbf5d2849b38be9b98026cd4cd5e566fe3b591d9063dbfa193c

Observation 0d7b42ad-deeb-4915-9677-871c91961f6c · outbound

This paper cites GPT-4 Technical Report.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making GPT-4 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-15T19:17:00.496873Z digest=sha256:ec9f98a39d6d062e97d7aa447e5a6c925645759a11b104580d61b131e81a598c

Observation 40e8a6d1-dc91-4263-8cc7-410eb534c813 · outbound

This paper cites ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Reference 3

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source=arxiv_source observed=2026-08-15T19:17:00.501720Z digest=sha256:05353456cfbab1e7f2eee8557cb2a6b37f2faba52f3638150ba3007a9bca6dbd

Observation 0e59de79-1baf-40f4-bb69-8e597b749933 · outbound

This paper cites Language models are few-shot learners.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Language models are few-shot learners

Reference 4

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source=arxiv_source observed=2026-08-15T19:17:00.506221Z digest=sha256:f65d3b12cd9e3bc81069e3bfce99b9ebc2b4498ec0b365436e2b30ec94f71525

Observation b7a25ea9-16bd-4b7c-94d6-80424a2173aa · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 5

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source=arxiv_source observed=2026-08-15T19:17:00.510855Z digest=sha256:cf28fcf09613632169fcddd56bf6ec0630d56fcd33f0581155f192f66513c2da

Observation 52c1ef42-5231-4e0b-b5fb-99f285fb07ff · outbound

This paper cites Elements of information theory.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Elements of information theory

Reference 6

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no resolver link, observed 2026-08-15T19:17:00.515539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.515539Z digest=sha256:bddd70893cf0178fd10796e1a35fbb68e7f38fb145fb11908877b82909dd252c

Observation 2f9a0ce4-e7e9-49fe-ade6-ea14747d7ebe · outbound

This paper cites DeepSeek-V3 Technical Report.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making DeepSeek-V3 Technical Report

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.519889Z digest=sha256:f0d2fdd32020baf247bc8d4e32b7daa562d8ed126d67a5f8ea03a35856cff800

Observation 8a30363c-25c8-4b09-8243-11ab125ffbf3 · outbound

This paper cites A survey of embodied ai: From simulators to research tasks.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making A survey of embodied ai: From simulators to research tasks

Reference 8

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source=arxiv_source observed=2026-08-15T19:17:00.525190Z digest=sha256:cb5f435c319791c0a4b59f6deffe7254f2cb5b8445c5b6d57ee12c14e69875bd

Observation 08497336-4e08-41e9-a510-7bd91c88c2c6 · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.529277Z digest=sha256:e987287c3a23b3cd3bbaae37fcbbef6547cae9ed1e02b20d802e637cf0e56b37

Observation 043f886a-bdbf-46ce-a87d-4f9d46d3b416 · outbound

This paper cites GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Reference 10

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source=arxiv_source observed=2026-08-15T19:17:00.533818Z digest=sha256:db25e9e22dc856f4bcfef08edc702cd58860ee89b81eee21949e8ee9a57b793e

Observation f5f1dea5-aa71-473b-bf2e-6670e10e56dd · outbound

This paper cites Fomicheva, Shuo Sun, Lisa Yankovskaya, F.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Fomicheva, Shuo Sun, Lisa Yankovskaya, F

Reference 11

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raw_fallback, observed 2026-08-15T19:17:01.388141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.538474Z digest=sha256:62f3018bfc87970a412045142063334832ec707049f6c1ef48a86159ba8f2daa

Observation ff876e01-b223-4382-9bdf-faa4498f4540 · outbound

This paper cites A survey of uncertainty in deep neural networks.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making A survey of uncertainty in deep neural networks

Reference 12

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source=arxiv_source observed=2026-08-15T19:17:00.542879Z digest=sha256:fc9a32fbde941404c0378d4de3cf2d052931bdc6a23c68ab024af930ac40f9d3

Observation 6d2a4626-6577-4072-826d-b2aa7b3df6dc · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Reference 13

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source=arxiv_source observed=2026-08-15T19:17:00.547060Z digest=sha256:1cd7277886a88e51f9ac7c53e539073c2a57b445d2060f4ce5beb4f85108fb5b

Observation fd22919a-2694-46d3-b867-a1426ea9cdb7 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 14

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source=arxiv_source observed=2026-08-15T19:17:00.551169Z digest=sha256:affbb93c567a53db7382a364fbbe6938a2fe48f74227d026e9b62be46062f3fc

Observation 1ecb2267-cd50-45ef-84ab-fff6acecbed4 · outbound

This paper cites Towards Mitigating Hallucination in Large Language Models via Self-Reflection.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Reference 15

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source=arxiv_source observed=2026-08-15T19:17:00.555451Z digest=sha256:850ef5e2a6a3176ee85b5b845da6255507486568d0435ddab616bcc33f78557d

Observation d7e0c224-2b74-4433-ae3f-7fe787f609f8 · outbound

This paper cites Estimating mutual information.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Estimating mutual information

Reference 16

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source=arxiv_source observed=2026-08-15T19:17:00.559816Z digest=sha256:569fdaa3166d3fdb5c232b4dc8648b5fcbcf15fda84aadbe413ec171058bd7b0

Observation 0248b16f-2f52-4f54-8211-6ec8cc69d241 · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation

Reference 17

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no resolver link, observed 2026-08-15T19:17:00.563986Z

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source=arxiv_source observed=2026-08-15T19:17:00.563986Z digest=sha256:86560690cff0e2ba2415b7cdf97d59ca691c456d79c080b615661ff455efaa72

Observation d11704a9-888d-48b1-8fb5-ea87a7fd1cf2 · outbound

This paper cites Contextualized sequence likelihood: Enhanced confidence scores for natural language generation.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Contextualized sequence likelihood: Enhanced confidence scores for natural language generation

Reference 18

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raw_fallback, observed 2026-08-15T19:17:01.329925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.568128Z digest=sha256:2f001e5b02c0b78e04e2ebc7607ed438e5806e48bf6aab32a01864acdbee2ea0

Observation 5c8fbfc0-5d63-42a0-a9fa-387e7900b949 · outbound

This paper cites Generating with confidence: Uncertainty quantification for black-box large language models.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Generating with confidence: Uncertainty quantification for black-box large language models

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.572368Z digest=sha256:2b806e5d35d785caff528094b2e33a81291f5b9c9a7ed7a634741e7df5335d28

Observation c1ad283f-b007-498d-89a8-807162a92c23 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making AgentBench: Evaluating LLMs as Agents

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T19:17:00.576312Z digest=sha256:b239907acdd2f17580c0494a6d27060bc7a9a102dcc00432a1e5de82078cd615

Observation 1d5decc5-0144-430f-9068-90d0de7ecd78 · outbound

This paper cites Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Reference 21

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source=arxiv_source observed=2026-08-15T19:17:00.581258Z digest=sha256:5fb21710cc62e03800fe41022f600df1047d6c00279fe64bc85c14d3d4fb86fc

Observation b200f899-0f37-45c8-b19f-4f53082f8d53 · outbound

This paper cites Uncertainty estimation in deep learning with application to spoken language assessment.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Uncertainty estimation in deep learning with application to spoken language assessment

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T19:17:01.296579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.585687Z digest=sha256:be22cefec13915627dfb64a48d2be60c9aadbac8ba8a6371d5400750a065f815

Observation a34e88ff-260b-4ca0-b72d-69ca1cdce3d6 · outbound

This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Uncertainty Estimation in Autoregressive Structured Prediction

Reference 23

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source=arxiv_source observed=2026-08-15T19:17:00.590754Z digest=sha256:3fbd59be7aee6dafaef1da02dda7ec2afe67c1f5596e72251958b140ce287f62

Observation e42bb8e4-e0c3-4605-889b-abd8f49990a8 · outbound

This paper cites Pv-tuning: Beyond straight-through estimation for extreme llm compression.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Pv-tuning: Beyond straight-through estimation for extreme llm compression

Reference 24

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raw_fallback, observed 2026-08-15T19:17:01.174113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.595239Z digest=sha256:3517b906769dd49cb055d588640bcad0da2f84bfb762c935972c6a2af80d1390

Observation 116e4b99-8ea9-4bd0-8939-f4f9478524dc · outbound

This paper cites Accuracy-rejection curves (arcs) for comparing classification methods with a reject option.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Accuracy-rejection curves (arcs) for comparing classification methods with a reject option

Reference 25

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raw_fallback, observed 2026-08-15T19:17:01.160784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.599409Z digest=sha256:cb789b693cb1b36e46e2446dadd7741960df8e6c3065aa74282fe446d737afe6

Observation c5e3712a-ca16-4fb9-81f7-a09c37eef157 · outbound

This paper cites Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities

Reference 26

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raw_fallback, observed 2026-08-15T19:17:01.146452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.603987Z digest=sha256:9ac4eec2a0b33812de7726987a29bf024d9c675a0dbf61efafb23dddb4b61bfd

Observation 65274934-74ad-47b3-8178-858fd449ce01 · outbound

This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making ART: Automatic multi-step reasoning and tool-use for large language models

Reference 27

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source=arxiv_source observed=2026-08-15T19:17:00.608381Z digest=sha256:e69b612e1e64977b51a215fb83e68fa3fa43f79e355186c1546ed9719b77465b

Observation 985f2b01-82d2-4b57-bc40-76775604d2e5 · outbound

This paper cites Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space

Reference 28

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source=arxiv_source observed=2026-08-15T19:17:00.612970Z digest=sha256:d79776e7110ef938c10e69ddd77ef7a22f482b83142b4df2711533d81b5a6464

Observation 7f268a95-dbc1-4a15-bcc5-a5137fb1265c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Gemma 2: Improving Open Language Models at a Practical Size

Reference 29

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source=arxiv_source observed=2026-08-15T19:17:00.617485Z digest=sha256:7baad87c4547785dd76d2b461fffb43199cb0173b031c3f6cc24d9cfab0ce8d3

Observation ed9fb38b-f271-44d2-970c-5776c320de8d · outbound

This paper cites thefuzz: Fuzzy string matching in python.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making thefuzz: Fuzzy string matching in python

Reference 30

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raw_fallback, observed 2026-08-15T19:17:01.132732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.622813Z digest=sha256:845e6dbf6196b60be353a7b62de37775a4f958ad4958a8bf44650efa674d2f76

Observation 06b71993-fd8d-4509-9611-bc15144dd724 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Reflexion: Language agents with verbal reinforcement learning

Reference 31

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no resolver link, observed 2026-08-15T19:17:00.627180Z

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source=arxiv_source observed=2026-08-15T19:17:00.627180Z digest=sha256:a27f73ff712b3a4e5beae6abf9000f72e9a3fbb4ddb345e6fa38a2c256af801c

Observation 3f194098-8a1d-42f4-a9b5-aadcec4be506 · outbound

This paper cites Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 32

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source=arxiv_source observed=2026-08-15T19:17:00.631213Z digest=sha256:e474ed832c436ff233d9b12b95aed08ca7203ff61fb593a50ceae81e2d6f2a66

Observation 35e02c93-0148-4fa3-8362-a78c6be8aebd · outbound

This paper cites A survey on large language model based autonomous agents.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making A survey on large language model based autonomous agents

Reference 33

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no resolver link, observed 2026-08-15T19:17:00.635368Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.635368Z digest=sha256:8c25d96f78522c77e3ae786c99178714b0cd2b3db5a1164cff3c3b56040264a1

Observation f15d244c-f1a6-4f3d-9d33-1b9263886fb4 · outbound

This paper cites Stepwise Informativeness Search for Efficient and Effective LLM Reasoning.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Stepwise Informativeness Search for Efficient and Effective LLM Reasoning

Reference 34

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no resolver link, observed 2026-08-15T19:17:00.639160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.639160Z digest=sha256:cbd54d6c2724201154947fc5b13cf6de9aea87b3098eda74d3edb46feffff680

Observation d2a0c230-48b7-4d02-97ae-b8f721e496d1 · outbound

This paper cites Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.643492Z digest=sha256:3a7d0a2e3cab57e8b237e0043c26b0c00d3ff82fded540347e8f7b92d4619228

Observation 4b1b3c78-3829-4a36-a922-901b460ceca1 · outbound

This paper cites Qwen2.5 Technical Report.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Qwen2.5 Technical Report

Reference 36

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no resolver link, observed 2026-08-15T19:17:00.647692Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.647692Z digest=sha256:53dea3708701a56ba18232b02e9a9f684383cdfebbc1b2c103d227d2b637b267

Observation 2a5f197d-0e9c-486a-ab42-c0077bd99375 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 37

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no resolver link, observed 2026-08-15T19:17:00.652389Z

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source=arxiv_source observed=2026-08-15T19:17:00.652389Z digest=sha256:7dd8c7330cbf63fac50f990b24857f5849288880fb15c3d259aca0f23a95296a

Observation 7e3d6a56-989d-408b-983d-bbca8bb803e8 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

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no resolver link, observed 2026-08-15T19:17:00.657397Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T19:17:00.657397Z digest=sha256:54f94743439a9032cda86a418c4b9a8664a7907540f370dbe6aa3f035723b2e4

Observation 2ddd11b6-fc9f-4052-8f02-b0ea1aa63c9a · outbound

This paper cites React: Synergizing reasoning and acting in language models.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making React: Synergizing reasoning and acting in language models

Reference 39

Resolution
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no resolver link, observed 2026-08-15T19:17:00.661878Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T19:17:00.661878Z digest=sha256:de33a8406cb8af91be3a1557dda48b2e9f3eb67fb636f6812c2ea4a4e5ae43f1

Observation 17489cee-019c-4596-b7d0-0e8328440e1c · outbound

This paper cites Reasoning in flux: Enhancing large language models reasoning through uncertainty-aware adaptive guidance.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Reasoning in flux: Enhancing large language models reasoning through uncertainty-aware adaptive guidance

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:17:01.092327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T19:17:00.665875Z digest=sha256:9fb7f4ea9fef769b645884b244d76bf9fd3753e12654073b293cd0b51df46766

Observation 44f49be9-1087-446c-833d-dafb6e3a33f8 · outbound

This paper cites Large language models for robotics: A survey.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making Large language models for robotics: A survey

Reference 41

Resolution
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no resolver link, observed 2026-08-15T19:17:00.669766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.669766Z digest=sha256:45c0c9614c79349bbd6e1f66053535c0c7816eea97aae3de07d3e438f6b2119d

Observation 056a7583-e47f-4ba1-9f39-faa4da6935db · outbound

This paper cites SAUP: Situation Awareness Uncertainty Propagation on LLM Agent.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making SAUP: Situation Awareness Uncertainty Propagation on LLM Agent

Reference 42

Resolution
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no resolver link, observed 2026-08-15T19:17:00.674120Z

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source=arxiv_source observed=2026-08-15T19:17:00.674120Z digest=sha256:f6f7a7e9508ce47b4396152ef07dac4551da6c1040a3d488cd45c8c0626f6b01

Observation 293a1ddd-499c-4074-b4c2-089913a5722e · outbound

This paper cites A Survey of Large Language Models.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making A Survey of Large Language Models

Reference 43

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no resolver link, observed 2026-08-15T19:17:00.678668Z

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source=arxiv_source observed=2026-08-15T19:17:00.678668Z digest=sha256:2775da1462aafe3cfd0fcac64a5f0a9e4c41cc56fab07dfdaf592be52bfdcc2a

Observation 7db9e6b0-d1c5-4726-914f-77c58d6c5619 · outbound

This paper cites A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Reference 44

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unresolved
no resolver link, observed 2026-08-15T19:17:00.683100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:17:00.683100Z digest=sha256:12a75da2d4ab1a22c525f06c7a4fe2a8ba3771042b4e2ec5dad2c528d0a2ddbb

Pith citing papers

Observation 70481780-b179-421e-87ea-50ab7b7e07f2 · inbound

Uncertainty Quantification for Retrieval-Augmented Reasoning cites this paper.

Uncertainty Quantification for Retrieval-Augmented Reasoning UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 12

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no resolver link, observed 2026-08-04T10:10:55.339700Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T10:10:55.339700Z digest=sha256:9127ffa678d126a351fcac83dcf15ce2b34ca289e0724893baafac0b1fe8d6a1

Observation a5da0a5a-1021-410c-bd1f-8a99848b54ba · inbound

LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems cites this paper.

LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 4

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unresolved
no resolver link, observed 2026-08-03T19:18:18.248005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:18:18.248005Z digest=sha256:5019d76e81b4f093fa697cceb00c84565a725580bb16685ed283e67059d657e5

Observation dd5f6a72-650a-49a4-b964-bf82c070f30c · inbound

IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation cites this paper.

IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:21.463079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T11:43:21.646482Z digest=sha256:245fa5027b1b4921011333c648b27168d4f29193bb459caa855825bf9bd534cb

Observation 694325d6-6f72-4196-8343-70a81230882f · inbound

Uncertainty Propagation in LLM-Based Systems cites this paper.

Uncertainty Propagation in LLM-Based Systems UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 60

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verified exact
arxiv_id, observed 2026-05-11T21:16:23.407378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T06:10:07.638483Z digest=sha256:c1f2a2bb46e0aa5676df0487e069e4e7d69a8db699c7168205c6cc4d967660bb

Observation d6ee478c-0d33-46d2-b74f-66c82d0dfd3a · inbound

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents cites this paper.

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:38:05.556220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T05:35:45.084011Z digest=sha256:5d6bc89164ab9c0917f75f736df18fb9a5503a81225e40622c1d222968e18545

Observation 1e1b8b03-6ed2-4b02-b2b8-bb850e08f5f9 · inbound

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization cites this paper.

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 19

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verified exact
arxiv_id, observed 2026-05-22T08:54:45.769668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:53:02.051453Z digest=sha256:b8783ac04e51bd8a1881ccbbf69faa832b906d80982afdeb5cf6b3bd2585e73a

Observation d52086aa-c165-4664-a423-08efb5bd4120 · inbound

Proper Scoring Rules for Agentic Uncertainty Quantification cites this paper.

Proper Scoring Rules for Agentic Uncertainty Quantification UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:04:40.143726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T12:59:57.639608Z digest=sha256:897e6a8b98fba8ca126647a0abb9dcbede7b32bca32201a0a055f6dfeffbfff9

Observation cabc3a96-2d7b-4e52-bd6c-1b0d54022f97 · inbound

Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement Learning cites this paper.

Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement Learning UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:07:17.532611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T21:42:34.473397Z digest=sha256:4f64a4327ae7e06c8b731c71d28513ff65286b5185aaeefc69bf9bf2b93e2082

Observation 76e696d1-f3ef-41f2-8b88-9975858ba3a0 · inbound

A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models cites this paper.

A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.659086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T17:46:00.822375Z digest=sha256:372c8bfc3c66d56dd269e109411e66d363f77554deed953037fe658a2e603ad1

Observation 3c7e009f-919b-45e5-80b7-64b1da71c3d3 · inbound

Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier cites this paper.

Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:07:41.582484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T12:53:05.153500Z digest=sha256:967fd704d24781f88eee8e7cfeae1d60bc9d08baad52e64f3bbf12a606292246

Observation 138debeb-d0b0-4bd4-9c9a-a2b8dce2f5f0 · inbound

Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering cites this paper.

Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.049360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T12:24:32.832030Z digest=sha256:94f0fef91a0f688874c742a66e96e0984fdd6f52fd6fe2aea7beb8a19940489c

Observation 69d8b6d9-9840-4ef1-a208-368e484192fb · inbound

Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks cites this paper.

Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T01:16:45.634283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:16:45.634283Z digest=sha256:04eecffeecfc657f45a223f328b6db0fb9b06081ec7d45736bf4de730abdeaeb