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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 3 inbound Pith citation observations for arXiv:2506.00844.

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

pith.paper-citation-record.v1
2506.00844 v1

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:04.561621Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:11.274581Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:16:44.670738Z

Reference resolution

100 of 112 outbound references displayed

  • verified exact7
  • verified fuzzy13
  • unresolved80
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6a9adc8-589e-486f-92a6-dfc4f4ba8127 · outbound

This paper cites Review of causal discovery methods based on graphical models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Review of causal discovery methods based on graphical models

Reference 1

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source=pdf_text observed=2026-08-07T12:01:55.609494Z digest=sha256:558ebab30295909765eff5ed2c14f500670af3719e520215176178c3d2ce5784

Observation 26bba3fa-35f1-4a11-b1e9-1e54e95ceb6d · outbound

This paper cites A survey on causal discovery: theory and practice.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery A survey on causal discovery: theory and practice

Reference 2

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source=pdf_text observed=2026-08-07T12:01:55.679663Z digest=sha256:2ceb44112c95c11330edfcaf0a2b9c3aab4dd04e42fe3046895c6144915aa217

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

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

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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source=pdf_text observed=2026-08-07T12:01:55.778133Z digest=sha256:fb590f8ed52150c0b46c3c5cf17f7313cb3a882ab4e11b5f48ef219901bd3da5

Observation f6a75cbf-2992-4197-90ca-df38f96ccc0e · outbound

This paper cites Can large language models infer causation from correlation? In Proceedings of the 12th International Conference on Learning Representations, 2024.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Can large language models infer causation from correlation? In Proceedings of the 12th International Conference on Learning Representations, 2024

Reference 4

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source=pdf_text observed=2026-08-07T12:01:55.900244Z digest=sha256:2a989e6c95c591fd87c1eec26e435023a0bd32461e64e847207a4a310f943adc

Observation 734e43b4-c54b-4f69-a234-de3a82aa0048 · outbound

This paper cites Integrating Large Language Model for Improved Causal Discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Integrating Large Language Model for Improved Causal Discovery

Reference 5

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source=pdf_text observed=2026-08-07T12:01:55.980223Z digest=sha256:ff276487b3ad4b62e081278862fd4c4f8f181361272121a5d28f18f170b95a42

Observation f08675d4-33cd-4d88-8efa-4c4c972c1682 · outbound

This paper cites Using gpt-4 to guide causal machine learning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Using gpt-4 to guide causal machine learning

Reference 6

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source=pdf_text observed=2026-08-07T12:01:56.069030Z digest=sha256:7fe15e9163d0bfb49572882fc55c28cd9a0b14435e08e5b5b8871f643678eed8

Observation 6e4676b5-52ac-4946-8494-474ce6a2e354 · outbound

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

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Understanding Causality with Large Language Models: Feasibility and Opportunities

Reference 7

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source=pdf_text observed=2026-08-07T12:01:56.146578Z digest=sha256:f0dab679ecc22089d47a93af413c65571ecfb5cfad683747090713f9d884d5a3

Observation 658c8910-c250-469c-ad7f-8ce30fd07711 · outbound

This paper cites Causal discovery with language models as imperfect experts.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal discovery with language models as imperfect experts

Reference 8

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source=pdf_text observed=2026-08-07T12:01:56.229478Z digest=sha256:2138e009598a08c137ba72b20e122fd418957d1defc51d8983824acecd1998e3

Observation 0c5d67c2-6b3d-4e95-978e-7f9993cec2eb · outbound

This paper cites Applying large language models for causal structure learning in non small cell lung cancer.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Applying large language models for causal structure learning in non small cell lung cancer

Reference 9

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source=pdf_text observed=2026-08-07T12:01:56.304726Z digest=sha256:5d87f124cd4944a7163d9bbca9b117171dc8e9efc7c036ea7141bacec1421447

Observation c7409cc0-da17-4ea2-82fa-1ece4e81a0a7 · outbound

This paper cites ALCM: Autonomous LLM-Augmented Causal Discovery Framework.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery ALCM: Autonomous LLM-Augmented Causal Discovery Framework

Reference 10

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source=pdf_text observed=2026-08-07T12:01:56.396332Z digest=sha256:e68b5bd5807cf4c441e03c68dc4e95eeb20ef04b26c8c9846eed46e4ebef531e

Observation aca5a68d-684a-412d-8873-35a70b4608b2 · outbound

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

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal parrots: Large language models may talk causality but are not causal.Transactions on Machine Learning Research, 2023

Reference 11

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source=pdf_text observed=2026-08-07T12:01:56.486764Z digest=sha256:f1389d736681e2d0e18b56ed333b9a309ccd5167b559cfd7e3866f41212c9390

Observation 0de85a7d-26dc-4dc4-84f9-72ae5d24146c · outbound

This paper cites Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning

Reference 12

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Observation ac97e2ec-f47e-4843-917b-4f2b5ebae15c · outbound

This paper cites Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 13

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source=pdf_text observed=2026-08-07T12:01:56.735407Z digest=sha256:abde10e73958d8949ff77c8acdf9a7231c1f501c2cd280d7da16163770e2c867

Observation 946894f9-d131-46ed-bacb-552029092a0e · outbound

This paper cites A Survey of Large Language Models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery A Survey of Large Language Models

Reference 14

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source=pdf_text observed=2026-08-07T12:01:56.841673Z digest=sha256:7eee57bf4ea4758735108a85e2b4495db451eeab650c42a659efc2ab62029cc4

Observation c8bfef2e-9d9a-46bc-9a2d-eae93770c11f · outbound

This paper cites Foundations of structural causal models with cycles and latent variables.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Foundations of structural causal models with cycles and latent variables

Reference 15

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source=pdf_text observed=2026-08-07T12:01:56.981826Z digest=sha256:ffe6825c400cf7c47455ce197819156a7414bd0e9c5f6f8c58fda7f3065e3354

Observation a6e008e4-b988-4bf1-9007-dade020d1489 · outbound

This paper cites Evolutionary com- putation in the era of large language model: Survey and roadmap.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Evolutionary com- putation in the era of large language model: Survey and roadmap

Reference 16

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source=pdf_text observed=2026-08-07T12:01:57.071313Z digest=sha256:918b25a218f34762b0942b0d8376333a3647bcf6a9c46791628775ecec864b43

Observation fe0b25a0-8b55-4de0-847f-99e9d6604d09 · outbound

This paper cites D’ya like dags? a survey on structure learning and causal discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery D’ya like dags? a survey on structure learning and causal discovery

Reference 17

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source=pdf_text observed=2026-08-07T12:01:57.165861Z digest=sha256:d63dfadb8257750a06360c1c1fc11c2a599208c1381b0a1d3df27771091e4f66

Observation 261e8cff-7213-438a-a9af-0d8af430438c · outbound

This paper cites Unveiling causal reasoning in large language models: Reality or mirage? In Proceedings of the 38th Annual Conference on Neural Information Processing Systems, 2024.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unveiling causal reasoning in large language models: Reality or mirage? In Proceedings of the 38th Annual Conference on Neural Information Processing Systems, 2024

Reference 18

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Observation fe8713fd-8d0c-4d6e-a960-2bedf72a3300 · outbound

This paper cites Causal Structure Learning Supervised by Large Language Model.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal Structure Learning Supervised by Large Language Model

Reference 19

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source=pdf_text observed=2026-08-07T12:01:57.404975Z digest=sha256:a62c261cb587e895dc1ca3b4a1a99c157f337e56147241af9c692469597a22e8

Observation ab0b84d5-ac09-4bf6-a593-8229e23787f5 · outbound

This paper cites Causal modelling agents: Causal graph dis- covery through synergising metadata-and data-driven reasoning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal modelling agents: Causal graph dis- covery through synergising metadata-and data-driven reasoning

Reference 20

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source=pdf_text observed=2026-08-07T12:01:57.518671Z digest=sha256:0b5e6d7271910ffcc4a266aa0552788360fdaf23ae0b25534651ffe500afc0be

Observation 1063807b-f8f9-4d5f-b09a-b4bc401ff7a7 · outbound

This paper cites Large Language Models are Effective Priors for Causal Graph Discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Large Language Models are Effective Priors for Causal Graph Discovery

Reference 21

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source=pdf_text observed=2026-08-07T12:01:57.642522Z digest=sha256:dbfd84e0a6c441be0d939aab25ca6c39b5245b96590c572b7867be2dff286465

Observation e1c4b4bc-a6b8-49e1-ab6d-dd6fb6d6b4fe · outbound

This paper cites Marrying llms with domain expert validation for causal graph generation.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Marrying llms with domain expert validation for causal graph generation

Reference 22

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source=pdf_text observed=2026-08-07T12:01:57.792914Z digest=sha256:31aca98bdec766a4f2e2a714e81ae346c1b2befe7f31590fdd46f8fa2333e4de

Observation 5c6cb22d-ebec-498d-9d36-a5ef8703ee74 · outbound

This paper cites Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

Reference 23

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source=pdf_text observed=2026-08-07T12:01:57.910286Z digest=sha256:5818028aecbe9f922283fbf616bc757e1a01870aa730779013a803dddf9f6e94

Observation e3b828ba-3fcd-4a2a-bbb9-dfb70010332f · outbound

This paper cites Large Language Models for Constrained-Based Causal Discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Large Language Models for Constrained-Based Causal Discovery

Reference 24

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source=pdf_text observed=2026-08-07T12:01:58.039979Z digest=sha256:76164571f009242040c8a6a8cb7cc8183e4a920b95a5176d1f18e67c17e3da0b

Observation abb523e4-1267-48cd-9d56-8f18ce5e3dcd · outbound

This paper cites Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data

Reference 25

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source=pdf_text observed=2026-08-07T12:01:58.159121Z digest=sha256:341eefe3c41b705bae35a11916d7f41054a575688a589b69f6a6ef18aa853226

Observation e74a8f4e-800d-4b24-8a18-e313238d72b3 · outbound

This paper cites Toward a Theory of Tokenization in LLMs.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Toward a Theory of Tokenization in LLMs

Reference 26

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Observation a352d235-8753-4355-bcd1-6e0153b21c05 · outbound

This paper cites Llm- driven causal discovery via harmonized prior.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Llm- driven causal discovery via harmonized prior

Reference 27

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source=pdf_text observed=2026-08-07T12:01:58.391410Z digest=sha256:3e4a359756494bd699c8ba9a6964d30c007a0e354afc307970341ebe6ffb5c58

Observation 8e72a276-74d9-4029-a9e9-5aa638655115 · outbound

This paper cites Causal inference and causal explanation with background knowledge.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal inference and causal explanation with background knowledge

Reference 28

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source=pdf_text observed=2026-08-07T12:01:58.446248Z digest=sha256:2767145b5a858c3fb1ed6b1f0bddcae442e1b3091700ecab3571e0ecef63f60a

Observation 5a102486-6b3a-42aa-a304-ba2759587998 · outbound

This paper cites On the completeness of causal discovery in the presence of latent confounding with tiered background knowledge.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery On the completeness of causal discovery in the presence of latent confounding with tiered background knowledge

Reference 29

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Observation c33ea933-1e02-499f-ab7f-402cf3849cba · outbound

This paper cites Sound and complete causal identification with latent variables given local background knowledge.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Sound and complete causal identification with latent variables given local background knowledge

Reference 30

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source=pdf_text observed=2026-08-07T12:01:58.624445Z digest=sha256:34c227c887437dadd0c745daa605625d90695e2ccdcb76e0e858a8830b007a7f

Observation 6db647f6-9c34-41b1-80fa-c6dd25a84cac · outbound

This paper cites New Rules for Causal Identification with Background Knowledge.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery New Rules for Causal Identification with Background Knowledge

Reference 31

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Observation e57952c4-3293-4764-a935-1b1c12c45333 · outbound

This paper cites Mitigating prior errors in causal structure learning: Towards llm driven prior knowledge.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Mitigating prior errors in causal structure learning: Towards llm driven prior knowledge

Reference 32

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source=pdf_text observed=2026-08-07T12:01:58.876467Z digest=sha256:f99bb9bfff67451300e8ffc178cae608ac61930ff7b1f278b377ae961d504cc4

Observation d216c168-d805-4e71-8174-4c9cc9f0d725 · outbound

This paper cites Generalized score functions for causal discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Generalized score functions for causal discovery

Reference 33

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source=pdf_text observed=2026-08-07T12:01:59.010280Z digest=sha256:12baae5e638b1222f213777c00922086dff69031fba59a8422745add37220be9

Observation 161bbbad-1e61-4af9-9103-8a7a19d08e3d · outbound

This paper cites Entropy-based pruning for learning bayesian networks using bic.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Entropy-based pruning for learning bayesian networks using bic

Reference 34

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source=pdf_text observed=2026-08-07T12:01:59.127833Z digest=sha256:1e2e1748515f178f715fc5c0d3cf2503641840c8f63ed6bc4b5238e67c129a9c

Observation c65ee884-f4a4-4ea5-b1d3-dab845eb01cb · outbound

This paper cites A theoretical analysis of the bdeu scores in bayesian network structure learning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery A theoretical analysis of the bdeu scores in bayesian network structure learning

Reference 35

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source=pdf_text observed=2026-08-07T12:01:59.221044Z digest=sha256:e7cb422567ab8709b8d8f960d25048325d890de44ba6b041a4bb4592bde67894

Observation b17c1cc5-e360-47fc-a7a7-a4d446d21bc0 · outbound

This paper cites Optimal structure identification with greedy search.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Optimal structure identification with greedy search

Reference 36

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source=pdf_text observed=2026-08-07T12:01:59.333657Z digest=sha256:85a5b0e02a0de50518b59b7d169381927a704c3a0f5a8e0bb286b7bfeef00937

Observation 238ed05c-04eb-43f4-814b-ad75581ebbd0 · outbound

This paper cites Informative priors for markov blanket discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Informative priors for markov blanket discovery

Reference 37

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source=pdf_text observed=2026-08-07T12:01:59.465757Z digest=sha256:2b8d6398f24b3a2d117bacb730bb7d0c5d982223e748b25f9ce7750f84dcd6b9

Observation 0266fb09-e64e-4c46-ab86-11ae07304be5 · outbound

This paper cites Domain knowledge-enhanced variable selection for biomedical data analysis.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Domain knowledge-enhanced variable selection for biomedical data analysis

Reference 38

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source=pdf_text observed=2026-08-07T12:01:59.599681Z digest=sha256:a5bde895b1d7282b7fa4b7d823123bf065d0e930db45be36ba7e2b9fdcd0d91d

Observation 5b51b2e9-2d07-4332-906e-4648714fe87a · outbound

This paper cites Feature selection in the data stream based on incremental markov boundary learning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Feature selection in the data stream based on incremental markov boundary learning

Reference 39

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source=pdf_text observed=2026-08-07T12:01:59.714749Z digest=sha256:cf83e07ab78c164b130dd1150c926f80db6766d039f3f3abfcd288567fa11c2d

Observation 9714da58-2240-4bc8-8adf-72ef0f4e2ad4 · outbound

This paper cites Probabilistic reasoning in intelligent systems: networks of plausible inference.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Probabilistic reasoning in intelligent systems: networks of plausible inference

Reference 40

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source=pdf_text observed=2026-08-07T12:01:59.840661Z digest=sha256:9dd3a47ff7445f6121fb16a126a3babb710b0c06b43494ac8254dce9c74e21f4

Observation 5bc36858-7afc-474e-adb1-0a9101f54349 · outbound

This paper cites A review on evolutionary algorithms in bayesian network learning and inference tasks.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery A review on evolutionary algorithms in bayesian network learning and inference tasks

Reference 41

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source=pdf_text observed=2026-08-07T12:01:59.958518Z digest=sha256:00a7d0d6f40fbfb2c3f027c1efa9e92a34705cf09ed0018d1ee6b1168982191c

Observation bc2abc4d-f785-462b-9b75-2d71c1aaf044 · outbound

This paper cites A genetic algorithm for causal discovery based on structural causal model.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery A genetic algorithm for causal discovery based on structural causal model

Reference 42

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:00.071558Z digest=sha256:15f0b3ca4bb946d7445b5b8b62db24e9eeefe4e8a39af35e434c9ae2d64928ad

Observation 7ddb8aa4-1bf8-45ce-84d4-e07f7f3ec7ae · outbound

This paper cites Cladder: assessing causal reasoning in language models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Cladder: assessing causal reasoning in language models

Reference 43

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source=pdf_text observed=2026-08-07T12:02:00.170278Z digest=sha256:e44a0af60f116972bbeb8410c781f8784169904ee54b6495833c6b649092093c

Observation d634ac7d-1c4e-4b33-a321-b06fdc5692c2 · outbound

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

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Can large language models distinguish cause from effect? In UAI 2022 Workshop on Causal Representation Learning, 2022

Reference 44

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source=pdf_text observed=2026-08-07T12:02:00.321931Z digest=sha256:f3e9146796cc64717265eb05923ed1dc9cdb4c4b4facd5e1b2bbad4a613da475

Observation 19f3e4e9-1cd4-4e00-9ad3-840203813a83 · outbound

This paper cites Can large language models build causal graphs? In NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Can large language models build causal graphs? In NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022

Reference 45

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source=pdf_text observed=2026-08-07T12:02:00.402023Z digest=sha256:65f65c018152b1de01b107a99f14082763dea715e043fcaa83406728ab5f0570

Observation 63c48b63-2490-498d-88ad-2eeb3c723c18 · outbound

This paper cites Probing for correlations of causal facts: Large language models and causality.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Probing for correlations of causal facts: Large language models and causality

Reference 46

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source=pdf_text observed=2026-08-07T12:02:00.479455Z digest=sha256:17aee366fd0763620cc9b3a73063ce9753bb7760c1ab3956bbe62e7f7fed7979

Observation ba62a9d0-45b1-4693-a289-aaf23b7830c7 · outbound

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

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Is chatgpt a good causal reasoner? a comprehensive evaluation

Reference 47

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:00.563973Z digest=sha256:fbf808036f8a4a9d3e7c5eabaed27bc4bd9e9ecf986ed6c773ae21c659f9191f

Observation 4645b77e-7f4a-44c8-b5df-ea856b33f5df · outbound

This paper cites Efficient causal graph discovery using large language models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Efficient causal graph discovery using large language models

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.423570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:00.679370Z digest=sha256:ac289e0a1de531b5cd8403ad59e7887ff4991df247cc76ceb97db53433ec7da8

Observation 6055da6f-1970-49d1-8845-0ee31935de04 · outbound

This paper cites Automating psychological hypothesis generation with AI: when large language models meet causal graph.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Automating psychological hypothesis generation with AI: when large language models meet causal graph

Reference 49

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verified exact
local_arxiv, observed 2026-08-07T12:02:04.816126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:00.740847Z digest=sha256:bacf05be254974f96d3ff6d97a9f4e3b1aa3c6fea1c73bcfe79dbc2bd783119c

Observation fee2f575-9f14-4081-bf80-66eaaff3aa53 · outbound

This paper cites Are llms capable of data-based statistical and causal reasoning? benchmarking advanced quantitative reasoning with data.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Are llms capable of data-based statistical and causal reasoning? benchmarking advanced quantitative reasoning with data

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.410280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:00.795050Z digest=sha256:dc37f2b53e62918ec05c7aa4f307b1f4ecdbdebe123b5591849dc230211d519d

Observation a0a7250e-47b3-4a63-b986-0de0b954b01f · outbound

This paper cites Multi-Agent Causal Discovery Using Large Language Models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Multi-Agent Causal Discovery Using Large Language Models

Reference 51

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source=pdf_text observed=2026-08-07T12:02:00.860813Z digest=sha256:88694962887ec97382d3c24d3af1cd5249b692dae18d51140bae3d548104195f

Observation 3aac4593-2a03-425c-8c36-3e93c118d718 · outbound

This paper cites Causal Evaluation of Language Models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal Evaluation of Language Models

Reference 52

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no resolver link, observed 2026-08-07T12:02:00.919429Z

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source=pdf_text observed=2026-08-07T12:02:00.919429Z digest=sha256:c8b6dc122d758fb437764ec7ee4e5db09e21ff5774d34ff33334ba410276256d

Observation ae6defa7-532e-42f1-b8e3-240be3656a0b · outbound

This paper cites Realtcd: Temporal causal discovery from interventional data with large language model.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Realtcd: Temporal causal discovery from interventional data with large language model

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.397449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:00.982125Z digest=sha256:b0ebd37b1ea024802f95ff5029d1810a7b1016927ec9f4bdb6be3e92fefe4a65

Observation be99a722-23b1-474d-b945-d026c2a1e69a · outbound

This paper cites CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models

Reference 54

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source=pdf_text observed=2026-08-07T12:02:01.054013Z digest=sha256:6e59c485ea67897f05c94f5f0eafb5e01e885dda4f2e23bc890d0e95e2e2897c

Observation d7aac285-6636-4b7f-aa89-19c2f3f96084 · outbound

This paper cites LLM-initialized Differentiable Causal Discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery LLM-initialized Differentiable Causal Discovery

Reference 55

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no resolver link, observed 2026-08-07T12:02:01.108557Z

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source=pdf_text observed=2026-08-07T12:02:01.108557Z digest=sha256:11df2660ac756cf25223cf9cf6c67e76f0e2248f6ccdeb0f406e1b546c1b54d1

Observation 8dfdcd85-9dd6-4f3c-9f63-bc5612126d4b · outbound

This paper cites Structured knowledge-based causal discovery: Agentic streams of thought.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Structured knowledge-based causal discovery: Agentic streams of thought

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.383827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.165393Z digest=sha256:a750cc2bf651ee02f2fdb640b1d1cd96ad392234512d3c9d618f143e73d2477b

Observation 53707911-aa59-4b0f-9d94-446b9b7d7a6d · outbound

This paper cites Large- scale hierarchical causal discovery via weak prior knowledge.IEEE Transactions on Knowledge and Data Engineering, 2025.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Large- scale hierarchical causal discovery via weak prior knowledge.IEEE Transactions on Knowledge and Data Engineering, 2025

Reference 57

Resolution
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raw_fallback, observed 2026-08-07T12:02:06.370353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.202545Z digest=sha256:ad3d69df34cdc2cc1fce7dc12d23dadeab8e088e686094f1c8f3de9ac33f2336

Observation 2355b0e4-884c-47a2-9b35-7e1b0f95c631 · outbound

This paper cites Causal order: The key to leveraging imperfect experts in causal inference.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal order: The key to leveraging imperfect experts in causal inference

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.357137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.270301Z digest=sha256:5feb2823241786b79cc3f99f7f81b73e6ea17e820825d928c5b93901d98e3a34

Observation d4e2a0bf-18b3-44e6-bdcd-80671032ada4 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 59

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unresolved
raw_fallback, observed 2026-08-07T12:02:06.343714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.329142Z digest=sha256:3b0fb2dbc07471690c15f21007a857d33015b4ae1ecf21cfbcd9e3810b61fcc9

Observation 32558b3b-176c-4336-b775-279c1ea05634 · outbound

This paper cites Causaleval: Towards better causal reasoning in language models.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causaleval: Towards better causal reasoning in language models

Reference 60

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.331170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.404793Z digest=sha256:7534e26f2cde20916f80fc6c180636df5547475b540ec9c0a3880087e7263232

Observation f10a2208-3832-4a67-96c9-3a62d22ec212 · outbound

This paper cites Can Large Language Models Help Experimental Design for Causal Discovery?.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Can Large Language Models Help Experimental Design for Causal Discovery?

Reference 61

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:01.474857Z digest=sha256:b5c4426ec1387b983a8d59d61c61ef1e689655aa381f75ceb3f529738eaec613

Observation e75108a8-a34e-4a80-a372-69ef0cb91a22 · outbound

This paper cites Integrating large language model for improved causal discovery.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Integrating large language model for improved causal discovery

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.316110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.535064Z digest=sha256:ecf9a80a81043b8184cead8c942becc3efea55617ce2c2e58e7046caa505771b

Observation 434d4450-2b62-430a-baa1-992f177d8be8 · outbound

This paper cites Kulfi framework: Knowledge utilization for optimizing large language models for financial causal reasoning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Kulfi framework: Knowledge utilization for optimizing large language models for financial causal reasoning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.302876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.604861Z digest=sha256:433c015c9bd78449091917a329a90af32ecfe809707fae54f80c0f1e3c84a4d2

Observation 2616f11d-ed75-4f5d-a547-3a35a9b70a92 · outbound

This paper cites Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring

Reference 64

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local_arxiv, observed 2026-08-07T12:02:04.719363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.654347Z digest=sha256:e67f9d90c7da084ec5943f5b3622503ddadb111e6c133a4b6a2c372912bdfce3

Observation 4ffa7e48-3c6a-4841-b1f6-04e963206cc6 · outbound

This paper cites Large language models for causal hypothesis generation in science.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Large language models for causal hypothesis generation in science

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.289485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.721405Z digest=sha256:f1e2a805ba586245acd0f4a8be7809a3bacf4fadaf6f2a5e20e65a81669acaf7

Observation 5268187f-25fe-4cb0-8a0f-7a250a8c4073 · outbound

This paper cites Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs

Reference 66

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no resolver link, observed 2026-08-07T12:02:01.782360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:01.782360Z digest=sha256:00b77cf7b044d35875f5fa670f19ba788da3b507f2d44637884ec3f996d9d189

Observation e5cf0d6a-22e5-4a09-b4a0-72df862a44dc · outbound

This paper cites Large Language Models for Zero-shot Inference of Causal Structures in Biology.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Large Language Models for Zero-shot Inference of Causal Structures in Biology

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:02:04.681966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.850056Z digest=sha256:acebee8f80ce9db898172b5206b002d9822f7246956293515a3240f8185c781a

Observation 5b2e61a8-0361-491e-8b9e-12b3c481cb0c · outbound

This paper cites Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:02:04.659244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.913173Z digest=sha256:7ade13f6ef955af91c267ac6e99dc25a55a35deef0dc41ba888252aa4cb814a2

Observation 56a8055d-909a-4cec-94f1-56588cf1b1ed · outbound

This paper cites On comparing llm-generated causal networks with a rule- based approach.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery On comparing llm-generated causal networks with a rule- based approach

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.275266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:01.988350Z digest=sha256:7b232338f96b72babb71bdc1db1600ea21eb6ccbe0504f93b322540bac3e2f1f

Observation ae566e26-309b-4c9a-96de-8873081181da · outbound

This paper cites Learning bayesian networks with the bnlearn r package.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Learning bayesian networks with the bnlearn r package

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:06.051208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:02.083341Z digest=sha256:1b8748aa72baa4e590b0de60e7120fbc9609f86c94e814597dde4b30f911418f

Observation 49ca0a7b-1ad1-48ca-ba36-1d97127d16a1 · outbound

This paper cites Hamming distance metric learning.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Hamming distance metric learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:05.918782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:02.194401Z digest=sha256:8f5922ef8321c282d8019b9bfeb7727dba0c4b5000237dc9fd58ad202acda08d

Observation 021f6cb0-8ca0-4658-b7d2-40affa230ddd · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.780122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:02.701265Z digest=sha256:13f8d4df4f860f4141524a249047e2dfce009110f015c6e1a40dc7017805e480

Observation 50f84338-55ae-4b1f-95d9-fb89c391274f · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.765732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:02.846179Z digest=sha256:49b8c25b666f768eee2534e59116e3bb80aa10dfa7b92b0da2246147dc576c3d

Observation 63040a71-2436-457a-9c38-a7f284f6f30a · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.749772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:02.918916Z digest=sha256:192234aa93313589a17974af2d5f452584931056cefeb8af0f9ff91806c4ba0a

Observation dd556559-9987-45ef-872d-60e1a7756e59 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.735382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.042398Z digest=sha256:11faadfa370b4fdab2743f5bf818837b1959ea76ad7e24acb5578ab883f96c45

Observation ce3080e3-2721-4084-8709-a2fc330e3364 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.794745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.165217Z digest=sha256:ffe7ef7d45ab74ffb5000b624fe8eb4a3fc331615403962efac02675cf693b00

Observation 6dba1530-228d-484a-8a9b-8c12cc82582f · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.716325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.304684Z digest=sha256:9feaa9e0acd471e19c6d36cf834907cd9d9f417144fd874ef7a4eaaa4ba8dabe

Observation fa0c94f9-94d5-4825-8968-9a8cb26b64e9 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.696153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.388341Z digest=sha256:3a727d7301e78d7f69c3b315ff4b0ad8c45e427003ee8b04d7a782331b00a4e6

Observation dfe748a7-a1f0-49db-9266-e4c35a923071 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.681086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.507015Z digest=sha256:cd6c378f365e599d415082f97ae0dd132a45116d8125a6d5b50967915b414fb9

Observation c12f76bb-c7e3-4c52-9caa-e39e440c1c7c · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.667079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.636313Z digest=sha256:5dd5887ac2034ca45553f8f6583675557587831bd360fd394dd20c534e2aa53a

Observation 6f2d595f-0252-4c20-9ed9-37b6788102c7 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.835075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.780134Z digest=sha256:49a83bbe12711cf5dbeea983d5b8235f13a0d20d9db5d6498688eab4c10e146d

Observation a371e9a6-78ab-4fbe-83c3-97fd7cbbc654 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.648706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:03.879120Z digest=sha256:1fd48cd0145dd96cfe12e75e18c9a6d27dbd672c1c8e93cf0ebde4c0ab451d72

Observation e60998ec-78b3-41a1-a22d-e9fd5f8c1e1b · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.633775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.077227Z digest=sha256:01eb11b4dd60776e90a6e039b7c5029129edfd76260b51ace7b7fd1bcbf00522

Observation 4c98936a-2783-42fb-8597-cd1e9775e16c · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.619290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.159286Z digest=sha256:7a3e45cd476b3db43022f11cdab33b85e5b513a877fcd649cb4f775268a3264c

Observation dfba436c-569a-4243-9a26-18bd3718af34 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.603432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.290015Z digest=sha256:1b720a8fe8aaa26cd908862d459061d6b11ca161f8ffa516ed259f549930a1fa

Observation 0fb9c51b-f879-4205-a6b6-e13fab80c068 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.588317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.395266Z digest=sha256:f1d1a334f477170e09cb9a04800a540fc66fc378e2a1b19b6e9dcf08ab4885e7

Observation 2e851a19-d26b-4225-a04c-45d86eb9d1ee · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.572858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.496093Z digest=sha256:c35d6de9978f37037a8c889930ac0235358d113968e51eed2887f4388a075b29

Observation d2a6a4bb-32cb-4516-8ae3-36a49e49ed9a · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.558100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.506606Z digest=sha256:398adfc5a321ba9c730affc17919fa4075bdbc2c60178942610823588a261670

Observation 700653ed-cf7a-4f06-9790-dc37eda85406 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.882424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.511181Z digest=sha256:7e5ce0addb661efcb50b2ca4f106d9439ffe4eb319d62df2122f30a72c0f4ffd

Observation 52eff55b-42e7-4920-a165-89daa4aea5aa · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.543101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.514972Z digest=sha256:55ab49795e20fade392d25794631a373854d734f02517e8832e772ab1bcf6ad8

Observation 08e70cab-5892-4b22-bafb-21998e31de80 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.528041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.519309Z digest=sha256:5a98e66de541350bb233f364a79d97f2d06868180481199738e1df713009a31b

Observation c2a11f5a-7182-49b9-9c91-f9348da49804 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.513342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.523303Z digest=sha256:32dd99d508b4298cfae72963d0c4fcab366cf17cf4d36115442253fffd5d7e6f

Observation e12b8aa7-f3f9-4092-af32-a879d4dec0c7 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.484436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.532145Z digest=sha256:6b322d70d42280c8c7f91c87e355b96b959d6d362689c42b2809b12580019de6

Observation 4f453994-6595-4275-af0b-7996e4c7288c · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.469204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.535892Z digest=sha256:1583ab4a6ead339494d42cac7341d6b64b30fa93d4ced01dea4f030f9c45416c

Observation a5460235-98de-4ab7-a9f6-b1719ce473fa · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.454651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.539792Z digest=sha256:5d179d02d23c7da563e6a2ec8752f3e737ea5d341218bb87aab34a4d2e1f851f

Observation da934ab0-18a6-435c-ab7d-818b09339481 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.439407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.544285Z digest=sha256:75e8307c586323a654b543295e2d9da4c43f36f6f23da8190ddfdd6c3508ba0c

Observation 00b9fc1f-a337-41eb-b076-38e1a620c7cf · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 102

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.425153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.548738Z digest=sha256:ed3cfc0a62e06a0c6aa0055667c3a84dd1f54f5e59adedfc03bcfab591d5184e

Observation 461ca07c-a242-42bd-b709-f56131837e9b · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 103

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.411230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.552859Z digest=sha256:bc698830bd7e173c98434daefce0ec9eb2ede60bc33df65100a0846583917cc9

Observation 34e5e074-60ec-4247-8de2-89ce9d02847d · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 104

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.397187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.557063Z digest=sha256:2d08f113b120fb0a2471931b884c7c1eecf3451f6d518c5b966407af4071d502

Observation b46a006f-450a-4073-a3ca-e2ffe487adc0 · outbound

This paper cites an unresolved cited work.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Unresolved cited work

Reference 105

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:02:05.381974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:02:04.561621Z digest=sha256:e00069ed8d352b48dc2ee0cb1863678f58780c3bb3358b61ed9da09b132476fc

Pith citing papers

Observation 0de069e2-a229-44de-979e-3e1531d618f0 · inbound

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery

Reference 198

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:11.274581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:11.274581Z digest=sha256:b9b193ed5034bb4dd49ca92b749cfbc59f008544769efb1846a0f6c6e8c12c11

Observation 26ccaeb5-ed5a-4705-8e1a-f8f8b2e113ca · inbound

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape cites this paper.

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:33:45.299324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T17:28:33.394661Z digest=sha256:00f918e92939c50218e39056d25947c2c6755cdb8ee25b4fdfffd358e9f6bde9

Observation 7f442f67-e961-4612-a984-60388b865081 · inbound

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems cites this paper.

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.672279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:02:54.076784Z digest=sha256:efa0a21a3d2aa7afc4f6a15f21ad4fd0e2336c0f86416439c185094c2f676920