Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? | Paper Citation Record

Observation 97fa02f9-32c3-4092-b2b1-0eb936a16be1 · outbound

This paper cites PaLM 2 Technical Report.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? PaLM 2 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:19.953287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4193bc-b89a-4dbb-a7e5-5e516f95c13a · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? The claude 3 model family: Opus, sonnet, haiku

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:20.036995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df65b80-a0e8-4c76-bd88-2f809564037d · outbound

This paper cites Self-RAG: Learning to retrieve, generate, and critique through self-reflection.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Self-RAG: Learning to retrieve, generate, and critique through self-reflection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:20.141775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b953c06-4899-4316-8e09-4d9d98b7031f · outbound

This paper cites Cause and Effect: Can Large Language Models Truly Understand Causality?.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Cause and Effect: Can Large Language Models Truly Understand Causality?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:20.250781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90be131c-35fa-4c36-9499-9e7c8814400b · outbound

This paper cites GenericsKB: A Knowledge Base of Generic Statements.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? GenericsKB: A Knowledge Base of Generic Statements

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:36:27.410966Z

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.

Observation d0f44787-d3c5-4a16-9b39-042378c20e40 · outbound

This paper cites Causalqa: A benchmark for causal question answering.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Causalqa: A benchmark for causal question answering

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:33.157355Z

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.

Observation 8d16c5bd-0b2b-4702-ae04-756d5aa67d5d · outbound

This paper cites an unresolved cited work.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:36:33.017218Z

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.

Observation f9058277-c2aa-4871-be18-8b8f6df77ad5 · outbound

This paper cites an unresolved cited work.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:36:32.881832Z

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.

Observation 38983a9e-1c20-4a53-b850-51cb467ae2ad · outbound

This paper cites Large language models are visual reasoning coordinators.Advances in Neural Information Processing Systems, 36, 2024.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Large language models are visual reasoning coordinators.Advances in Neural Information Processing Systems, 36, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:32.739061Z

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.

Observation a0ccc3ed-ab27-4f77-8d5e-2e5e8d5e3f08 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Evaluating Large Language Models Trained on Code

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:20.806081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a6b670-76fd-4598-a6bd-aed26c44ee68 · outbound

This paper cites Language models show human-like content effects on reasoning tasks.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Language models show human-like content effects on reasoning tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:20.894609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f807ec8f-08ba-45e4-9f69-c72ccab15f31 · outbound

This paper cites A Survey on In-context Learning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? A Survey on In-context Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:20.985550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6ddbdf-a5dd-431d-9987-a4147cfc5faa · outbound

This paper cites The Faiss library.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? The Faiss library

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.069430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3db92b-5c0e-4b9a-922f-086891003806 · outbound

This paper cites e-care: a new dataset for exploring explainable causal reasoning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? e-care: a new dataset for exploring explainable causal reasoning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:32.606809Z

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.

Observation 5414adca-479b-40ec-9743-8de6b7904987 · outbound

This paper cites Is ChatGPT a good causal reasoner? a comprehensive evaluation.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Is ChatGPT a good causal reasoner? a comprehensive evaluation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:32.490041Z

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.

Observation 1f35b1cb-ed8f-4023-92c7-75c32e41d802 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.351747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2fe6f47-35f5-46f1-8434-3f2b38e00e98 · outbound

This paper cites Oxford University Press, 04 2007.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Oxford University Press, 04 2007

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:32.353671Z

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.

Observation 65a3d07a-9f67-4e22-a042-50f23eac68dd · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.513326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31d46f4-af3d-4e64-bd55-5a6923bc17ac · outbound

This paper cites CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.579913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f77a4c-5242-4d42-ba77-496d7734b871 · outbound

This paper cites Reasoning with language model is planning with world model.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Reasoning with language model is planning with world model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.645950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba4e79c-8eff-4812-a774-e5c16698706d · outbound

This paper cites Clarendon Press, 1896.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Clarendon Press, 1896

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:32.199628Z

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.

Observation 10909d8b-a8c1-4326-88ae-c58ecb5ab624 · outbound

This paper cites Mathprompter: Mathematical reasoning using large language models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Mathprompter: Mathematical reasoning using large language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:32.064774Z

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.

Observation c49d87ab-fa3f-4e5d-a748-ea7d09259e2c · outbound

This paper cites Imbens and Donald B.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Imbens and Donald B

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.882854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1725248f-cc00-41b5-945b-7d4132c55450 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:21.969801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 778fd30d-ca6a-4e3e-9a70-19655106a104 · outbound

This paper cites CLadder: Assessing causal reasoning in language models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? CLadder: Assessing causal reasoning in language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.901098Z

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.

Observation 43bdbe82-d2f6-4340-977f-4d365876abc5 · outbound

This paper cites Diab, and Bernhard Schölkopf.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Diab, and Bernhard Schölkopf

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.765478Z

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.

Observation 49048d66-4de4-45e4-a7bb-5e57385e5133 · outbound

This paper cites Kahneman.Thinking, Fast and Slow.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Kahneman.Thinking, Fast and Slow

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.627901Z

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.

Observation 708367ee-6150-47d7-bce8-122f7ee94508 · outbound

This paper cites Norm theory: Comparing reality to its alternatives.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Norm theory: Comparing reality to its alternatives

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.473283Z

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.

Observation 5f4832fe-10e0-415a-8861-a67355a0e38d · outbound

This paper cites A noise audit of human-labeled benchmarks for machine commonsense reasoning.Scientific Reports, 14(1):8609, 2024.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? A noise audit of human-labeled benchmarks for machine commonsense reasoning.Scientific Reports, 14(1):8609, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.361144Z

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.

Observation 21526aff-e4cd-4b51-a1ce-e8fc4041560e · outbound

This paper cites Causal reasoning and large language models: Opening a new frontier for causality.Transactions on Machine Learning Research, 2024.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Causal reasoning and large language models: Opening a new frontier for causality.Transactions on Machine Learning Research, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.237205Z

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.

Observation 7e1cc791-6814-4caf-995a-e2e8ec24981a · outbound

This paper cites The development of causal reasoning.Wiley Interdisciplinary Reviews: Cognitive Science, 3(3):327–335, 2012.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? The development of causal reasoning.Wiley Interdisciplinary Reviews: Cognitive Science, 3(3):327–335, 2012

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:31.008020Z

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.

Observation 3d204823-ec28-433c-bbef-e0110298b12e · outbound

This paper cites an unresolved cited work.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:36:30.858556Z

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.

Observation bebc44d4-e782-4dc8-be32-a7e76b39abea · outbound

This paper cites Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:22.704770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed234e0-e9bb-4382-ab85-9a1a7eb30105 · outbound

This paper cites Gormley, and Jason Eisner.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Gormley, and Jason Eisner

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:30.709254Z

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.

Observation e267b5ad-906a-453e-837e-cca2fe71a3b8 · outbound

This paper cites Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:30.574108Z

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.

Observation 4f8f096c-d911-426d-b388-eccf97f45eef · outbound

This paper cites Learning to walk with logical embedding for knowledge reasoning.Information Sciences, 667:120471, 2024.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Learning to walk with logical embedding for knowledge reasoning.Information Sciences, 667:120471, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:30.446992Z

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.

Observation 779c530d-8abc-45c3-b6cf-26d3f6d3ce93 · outbound

This paper cites Large Language Models and Causal Inference in Collaboration: A Survey.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Large Language Models and Causal Inference in Collaboration: A Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.031662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f85929ad-67f2-45fa-8042-c833c64a9990 · outbound

This paper cites Causal Discovery with Language Models as Imperfect Experts.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Causal Discovery with Language Models as Imperfect Experts

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.102242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c199e986-39f9-46f3-92bf-224a4a0359e6 · outbound

This paper cites Can large language models build causal graphs?.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Can large language models build causal graphs?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.172306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adf99043-78e0-4135-81a3-9bfd3a944799 · outbound

This paper cites Insights into llm long-context failures: When transformers know but don’t tell.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Insights into llm long-context failures: When transformers know but don’t tell

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:30.300907Z

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.

Observation 1e7711c3-8822-4614-9f6d-f665685af7ad · outbound

This paper cites Human language understanding & reasoning.Daedalus, 151(2):127– 138, 2022.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Human language understanding & reasoning.Daedalus, 151(2):127– 138, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:30.161993Z

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.

Observation 82410dd6-9c7d-4113-bfaa-bd89f85eacd2 · outbound

This paper cites Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.410934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0665d821-a98b-4193-949d-93d704d56573 · outbound

This paper cites Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.526141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac3543d-7b76-4355-bd0c-4648117dfb38 · outbound

This paper cites Prentice- hall Englewood Cliffs, NJ, 1972.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Prentice- hall Englewood Cliffs, NJ, 1972

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:30.014958Z

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.

Observation 756165ba-5146-450d-b47e-eed57e0cb805 · outbound

This paper cites GPT-4 Technical Report.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? GPT-4 Technical Report

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.699518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9203cda-06bb-462d-a5eb-637e90ac063b · outbound

This paper cites Cambridge University Press, 2 edition, 2009.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Cambridge University Press, 2 edition, 2009

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:23.768407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3371c9b-d1cd-40a0-9e63-e37aa095b67c · outbound

This paper cites Human and animal cognition: Continuity and discontinuity.Proceedings of the National Academy of Sciences, 104(35):13861–13867, 2007.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Human and animal cognition: Continuity and discontinuity.Proceedings of the National Academy of Sciences, 104(35):13861–13867, 2007

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.868561Z

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.

Observation 11966b0e-60e1-4c35-a9d3-a83d4d3044b2 · outbound

This paper cites Choice of plausible alterna- tives: An evaluation of commonsense causal reasoning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Choice of plausible alterna- tives: An evaluation of commonsense causal reasoning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.751667Z

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.

Observation 7480599a-4e74-4892-8859-98a42789b4db · outbound

This paper cites CRAB: Assessing the strength of causal relationships between real-world events.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? CRAB: Assessing the strength of causal relationships between real-world events

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.619438Z

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.

Observation 38defc9f-eb73-4cff-b1c2-ed2818d9ae3a · outbound

This paper cites CRAB: Assessing the Strength of Causal Relationships Between Real-world Events.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? CRAB: Assessing the Strength of Causal Relationships Between Real-world Events

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:36:27.030511Z

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.

Observation c5873791-7a18-43c7-9a0b-9e1f90ecec34 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Code Llama: Open Foundation Models for Code

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.197194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65004aa-265b-4b6d-b807-7a3d430df132 · outbound

This paper cites Leveraging the inductive bias of large language models for abstract textual reasoning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Leveraging the inductive bias of large language models for abstract textual reasoning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.486474Z

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.

Observation 21a8b2d2-42d5-4dc5-8506-ed7ac26a0b1a · outbound

This paper cites Detecting pretraining data from large language models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Detecting pretraining data from large language models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.416937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d3daa2-46cd-4eff-9d4d-e63c425b3c36 · outbound

This paper cites Oxford University Press, 08 2005.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Oxford University Press, 08 2005

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.353395Z

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.

Observation ebc41589-957d-40c4-8848-61f0b64f632e · outbound

This paper cites Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.521858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5355f503-7351-411b-8cfc-d9687ee68e14 · outbound

This paper cites Stanovich and Richard F.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Stanovich and Richard F

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.230861Z

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.

Observation a9a55734-657d-4ecb-b5c0-2955bff8c4c4 · outbound

This paper cites A causal framework to quantify the robustness of mathematical reasoning with language models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? A causal framework to quantify the robustness of mathematical reasoning with language models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:29.110677Z

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.

Observation 04c501d7-32d2-42cf-8766-483be0337083 · outbound

This paper cites A Survey of Reasoning with Foundation Models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? A Survey of Reasoning with Foundation Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.710627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 943f53da-c2d2-40e6-aa75-fb1172f4f76b · outbound

This paper cites Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.772578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c0c53b-de83-4937-9091-f9948dd91545 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.832398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3c4625-8940-4bd0-a405-58330e7ff0ec · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.965539Z

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.

Observation 8cff4a57-7301-474b-a63d-e519592cac06 · outbound

This paper cites LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:36:26.792967Z

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.

Observation c911a49d-7a75-4bcf-9deb-95561b3b31d2 · outbound

This paper cites Chi, Quoc V.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Chi, Quoc V

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.980092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8631b5da-7dde-4945-888c-1a6179b779dd · outbound

This paper cites Can foundation models talk causality? InUAI 2022 Workshop on Causal Representation Learning, 2022.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Can foundation models talk causality? InUAI 2022 Workshop on Causal Representation Learning, 2022

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.820384Z

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.

Observation dc434d29-8fb6-4776-b033-43e8cb8b5750 · outbound

This paper cites Causality for Large Language Models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Causality for Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:25.100645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 348c9fc5-24dc-48f0-9148-e211ba1f9b8c · outbound

This paper cites Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:25.165193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff5757c-db7f-4e81-aa97-a9f113bcbd46 · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? An explanation of in-context learning as implicit bayesian inference

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.690192Z

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.

Observation 6dafc223-bcd1-4bc9-ae78-c04dea1ed455 · outbound

This paper cites Leandojo: Theorem proving with retrieval-augmented language models.Advances in Neural Information Processing Systems, 36, 2024.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Leandojo: Theorem proving with retrieval-augmented language models.Advances in Neural Information Processing Systems, 36, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.535649Z

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.

Observation 9a1aa6be-e22b-4e4d-9db2-68279e5cb574 · outbound

This paper cites Towards Fine-grained Causal Reasoning and QA.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Towards Fine-grained Causal Reasoning and QA

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:36:26.621553Z

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.

Observation 4c26e029-52d1-420a-9f53-a34f35661bce · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Tree of thoughts: Deliberate problem solving with large language models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:25.398101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be8b4c8b-c73a-4310-afc0-c4a17d700185 · outbound

This paper cites Why do we sometimes get nonsense-correlations between time-series?–a study in sampling and the nature of time-series.Journal of the royal statistical society, 89(1):1–63, 1926.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Why do we sometimes get nonsense-correlations between time-series?–a study in sampling and the nature of time-series.Journal of the royal statistical society, 89(1):1–63, 1926

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.383720Z

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.

Observation 8ef09d7d-089f-4ef2-8404-c3e9a2ffd675 · outbound

This paper cites Causal parrots: Large language models may talk causality but are not causal.Transactions on Machine Learning Research, 2023.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Causal parrots: Large language models may talk causality but are not causal.Transactions on Machine Learning Research, 2023

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.237787Z

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.

Observation b0040b22-495e-4e1f-8a6e-dd244bb62f0d · outbound

This paper cites Understanding Causality with Large Language Models: Feasibility and Opportunities.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Understanding Causality with Large Language Models: Feasibility and Opportunities

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:25.618569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 715ba000-d138-4b7d-aeae-d56e03008ef6 · outbound

This paper cites Situatedgen: Incorporating geographical and temporal contexts into generative commonsense reasoning.Advances in Neural Information Processing Systems, 36, 2024.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Situatedgen: Incorporating geographical and temporal contexts into generative commonsense reasoning.Advances in Neural Information Processing Systems, 36, 2024

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:28.102485Z

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.

Observation 420e39c5-401b-4a9d-a5b7-59c8fe029778 · outbound

This paper cites Archer: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Archer: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoning

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:36:26.473072Z

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.

Observation efe6c0fc-90d5-4a9e-b623-135f53e4d2da · outbound

This paper cites Can large language models distinguish cause from effect? InUAI 2022 Workshop on Causal Representation Learning, 2022.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Can large language models distinguish cause from effect? InUAI 2022 Workshop on Causal Representation Learning, 2022

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:27.990344Z

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.

Observation 156355c2-6122-4a38-995c-a0c098b22420 · outbound

This paper cites CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:25.967825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ce6a204-79b8-4604-9a9f-0a93bc1dde88 · outbound

This paper cites [59] shows that LLMs can learn from mistakes in logical reasoning.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? [59] shows that LLMs can learn from mistakes in logical reasoning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:27.878547Z

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.

Observation 0f4cd60d-167c-4133-aa58-09cdfa4db178 · outbound

This paper cites If cats were vegetarians, what results would happen?.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? If cats were vegetarians, what results would happen?

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:27.748200Z

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.

Observation 1dd78142-fe0d-405c-85f3-7e26705564b6 · outbound

This paper cites [69] collect data from Yahoo and employ crowd workers to generate the causal questions.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? [69] collect data from Yahoo and employ crowd workers to generate the causal questions

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:27.633624Z

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.

Observation e8cea8cf-5a49-4dd7-bd35-4ba2539af9fc · outbound

This paper cites Vanilla” denotes doing inference directly. “C-E.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Vanilla” denotes doing inference directly. “C-E

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:27.538207Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers