Causal Reasoning and Large Language Models: Opening a New Frontier for Causality | Paper Citation Record

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MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data cites this paper.

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 18

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Artificial Theory of Mind and Self-Guided Social Organisation cites this paper.

Artificial Theory of Mind and Self-Guided Social Organisation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 28

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A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects cites this paper.

A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 86

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics cites this paper.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 21

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Evaluating Large Language Models for Causal Modeling cites this paper.

Evaluating Large Language Models for Causal Modeling Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 10

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Observation 14345f8f-92f0-4bed-b2d2-94c4fa699ae3 · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 159

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Observation 9fe1ac79-7199-479a-9857-1df1c0fb2080 · inbound

Do Large Language Models Show Biases in Causal Learning? cites this paper.

Do Large Language Models Show Biases in Causal Learning? Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 11

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Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation cites this paper.

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 15

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Observation a0291e81-4c3d-4ab0-9082-add0bfae12bc · inbound

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks cites this paper.

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

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Observation 7195783f-1484-4b07-ad31-4d11bab7c387 · inbound

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models cites this paper.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 42

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Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives cites this paper.

Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 22

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Observation 30da0012-d50e-456c-8417-1e1a56f1f095 · inbound

Into the Void: Mapping the Unseen Gaps in High Dimensional Data cites this paper.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 32

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Observation 24d77ac8-197a-4177-987c-1b2d5c85a742 · inbound

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning cites this paper.

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2017

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Observation 95048b32-d9c0-4b37-abb8-9142b27cc750 · inbound

Do Large Language Models Reason Causally Like Us? Even Better? cites this paper.

Do Large Language Models Reason Causally Like Us? Even Better? Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 15

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Observation 69141079-9e3c-41b3-91b9-c24a9be15a23 · inbound

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models cites this paper.

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:12:28.514305Z

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Observation 5ce99217-9a35-4aa2-b42c-a4c9aba88dd6 · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 30

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Observation 7a62bd82-f731-4bb5-aa19-3e5c75d3eb68 · inbound

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data cites this paper.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 65

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Observation 7037d96d-d9ab-4aff-9d5e-3b8f23f0263b · inbound

Causality for Natural Language Processing cites this paper.

Causality for Natural Language Processing Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 1993

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Observation 6e6f7119-c681-4c5b-89c2-04b01964daa7 · inbound

Language and Thought: The View from LLMs cites this paper.

Language and Thought: The View from LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 36

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Observation eda7abda-78d1-4c04-b281-dd69d78b8f78 · inbound

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery cites this paper.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 3

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Observation 3a9aa45f-b1f9-4c19-ab10-3913d057da66 · inbound

Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models cites this paper.

Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 9

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Observation 3f87f16e-2595-4b6d-bfb6-3864ab78235f · inbound

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news cites this paper.

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 28

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Observation 666229a7-fa1e-471a-8462-f19191e4c2ec · inbound

Sequential Causal Discovery with Noisy Language Model Priors cites this paper.

Sequential Causal Discovery with Noisy Language Model Priors Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:42:12.980177Z

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Observation 35b68116-2e05-4150-9829-469e26c69dd3 · inbound

Tagged for Direction: Pinning Down Causal Edge Directions with Precision cites this paper.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 7

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Observation ff0e2132-acbe-4a57-920d-ad76b2eff314 · inbound

Math Natural Language Inference: this should be easy! cites this paper.

Math Natural Language Inference: this should be easy! Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 5

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Observation 5d43676a-7183-4128-9c28-7ec505e49c8e · inbound

A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks cites this paper.

A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 24

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Observation 989d9c09-b6f9-437e-9e44-89c79540709f · inbound

Ethical Considerations of Large Language Models in Game Playing cites this paper.

Ethical Considerations of Large Language Models in Game Playing Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 5

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Observation a6d1b252-593b-4d99-b3e9-1d68d924620d · inbound

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks cites this paper.

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 12

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Observation 05e7ac63-1469-4e60-b324-6d666658a3d3 · inbound

Causal MAS: A Survey of Large Language Model Architectures for Discovery and Effect Estimation cites this paper.

Causal MAS: A Survey of Large Language Model Architectures for Discovery and Effect Estimation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2

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Observation ed244df1-27b3-46f3-9058-653445eb3658 · inbound

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement cites this paper.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

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Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment cites this paper.

Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 1

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Observation 11ed277b-15a1-4c57-a9e8-ca668a703f22 · inbound

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching cites this paper.

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 15

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Observation 9cf40714-c511-47b1-879b-f6adc61194b9 · inbound

Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away cites this paper.

Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:48:11.374254Z

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Observation 063a9fd6-116f-4d73-a71a-189ceca48cfd · inbound

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation cites this paper.

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 14

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Observation b48be43b-d73b-43d3-aa89-d73c505064bc · inbound

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation cites this paper.

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 14

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Observation 03bf31a9-d09d-43b4-9df3-c82e024fb421 · inbound

DeepImagine: Clinical Trial Outcome Prediction via Stepwise Local Counterfactual Imaginations cites this paper.

DeepImagine: Clinical Trial Outcome Prediction via Stepwise Local Counterfactual Imaginations Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:13.897719Z

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Observation a599631d-a020-4c9b-b94e-cc12e5648aa2 · inbound

PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery cites this paper.

PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 19

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Observation 7b41cf53-eb05-4e5a-9b36-4e818305f789 · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 266

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Observation 376ee5a4-8cf5-428e-8c2e-468750fd126d · inbound

CIVeX: Causal Intervention Verification for Language Agents cites this paper.

CIVeX: Causal Intervention Verification for Language Agents Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:24.543679Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f60c55b-c63a-421b-a58d-5f05175dd073 · inbound

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence cites this paper.

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 61

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Observation d65c9c53-02ac-4998-b50c-cb2cf25f35f4 · inbound

PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models cites this paper.

PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:26.825893Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ca295c4-6453-4813-8c9f-4c61330adf0f · inbound

CasualSynth: Generating Structurally Sound Synthetic Data cites this paper.

CasualSynth: Generating Structurally Sound Synthetic Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:18:21.292890Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f3a905e-e944-4980-99df-a2ca44dfc8f6 · inbound

CausalGuard: Conformal Inference under Graph Uncertainty cites this paper.

CausalGuard: Conformal Inference under Graph Uncertainty Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:54:43.195748Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2373659-6551-4ff8-bf7f-26c2887702f7 · inbound

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis cites this paper.

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:39.990530Z

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Observation c29e71e5-1679-4ea6-982a-5400dc876051 · inbound

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market cites this paper.

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.197922Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ce35f6d-d243-4863-a620-79def3c6962b · inbound

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market cites this paper.

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2025

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Observation 90d545ed-c3ec-416c-8019-63a1e95a66ef · inbound

Caliper: Probing Lexical Anchors versus Causal Structure in LLMs cites this paper.

Caliper: Probing Lexical Anchors versus Causal Structure in LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:36:48.526214Z

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Observation 991316eb-6eb3-4d82-9abf-14d032416a91 · inbound

WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds cites this paper.

WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:42.022873Z

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Observation d5c1a070-276e-4622-b576-51b6e16f6904 · inbound

The New Associationism: Lessons from Deep Learning cites this paper.

The New Associationism: Lessons from Deep Learning Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.196487Z

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Observation bfe73563-7365-4b17-b14f-80fac7ebec31 · inbound

When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs cites this paper.

When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:58.918944Z

Source-reported events for the cited work

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Observation 149500a5-ba2a-4b0f-928a-d95e6fa914c7 · inbound

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs cites this paper.

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.672324Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d0ea668c-8cda-4ff6-8458-bf9d38464eab · inbound

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models cites this paper.

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:06:02.817821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46eb5f76-32dc-4cbc-99e6-f33007c1d7ef · inbound

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature cites this paper.

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T06:30:12.415863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37af1022-042b-448e-816c-34bdd1347f7f · inbound

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference cites this paper.

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T04:33:59.190422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee3ff35-d592-46e0-84b1-b76403328951 · inbound

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games cites this paper.

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:54:48.582299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b3b8c6-c877-45ac-8db1-2309f16ccb3f · inbound

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation cites this paper.

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T12:41:26.999408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e838219-cbde-4b60-b676-474660fedfcc · inbound

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? cites this paper.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.780156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d5615e-f4fc-4c56-b102-a2c0aa5cff6e · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-07T22:53:05.545771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6345a30c-19f1-4600-9db2-24d79037255f · inbound

Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models cites this paper.

Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T12:37:33.066507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3844e94-e45e-42c6-b695-db514f2d9e5e · inbound

Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models cites this paper.

Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-14T04:21:09.455379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1685bccc-ee14-413a-b5b2-4edbce790b7a · inbound

Causal Structure is Inducible but Functionally Decoupled: The Routing/Readout Boundary of a Typed Mechanism Library cites this paper.

Causal Structure is Inducible but Functionally Decoupled: The Routing/Readout Boundary of a Typed Mechanism Library Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:33:11.060510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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