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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 14 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 2026-08-14T06:32:32.682623+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:a4435b375ecc168c79e572da2ae2ad70a0ef0751fefb0c9e727d19a7fcc8bfdc

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:a88ddc1d63936ead3865f3ed40bae6954fdcca77e6598b1b30d6181534c5521f

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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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=sha256:810f5c04df803011286c19298affc1c82c273048a0308c05cbed206c87b0d5cb

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:c84a151576ac80ee367c81d8d5c626c513a558ec6c37771312a657ec17599f7e

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=sha256:93fc1aeee789c16f8ba619f83895f639c6fb1fe6d7a1eb6e4170b586bcae4eb6

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:d6cfcdb46899be1c394c366354e506ea6e8f4a6758db701689be01a5dbec8792

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:a1e3fff071de439b2e9143cbc0066a5ba6583e7b6d4a8461515fd359a4388ea9

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:fe9f5e1c124043d998f808a7dcdfe854b556f988a760cc6fed75e6cfb8b2677a

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=sha256:2c8e2f06c86cf805a5f7aa2e13ab4c2a71953679fcd5fb2ebf4f5f00d38bf5f1

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=sha256:18b5de500f4a1b0b7dd685eb95ca1a819e9ea52129fbf8b487be25688d9000be

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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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=sha256:2c1c90dd63151c1c1978669e346840c40488c90eae71c39fc0c99b9b376b2c19

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=sha256:99c427ab1f331505e439497255304bcbf5e504a551ca324d852113735be54624

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=sha256:646029df84a33d20effd5cf34b77ac348c72f18e365a0e52b00d785becc5e733

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=sha256:20e533e68fdc2573e2f6a2a03e4e3f4015164b3e511d2abc1d84e4a288dfd53c

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:ed1ca9f1f55f7690a2d5dab70b9310fba7c374e05695db6edf5ba896014fa5f6

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=sha256:2bcf1f4fbd4e694cf8d84abca83c43cde8f732b15457c62673003d69a969f0be

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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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=sha256:075e5e9cd54c52879c66b4f6bfb7ba90803c38f6cbaa72c50288a5e09319cf05

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:d18b99324d8fa5638aacfa493b9e14e8678171dcc37839780e4b167fd3807ecc

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=sha256:53b7a236315e88446747ab125e89be7409a03678bc745b30bf072f279c56bbec

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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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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source=pdf_text observed=2026-08-07T12:01:58.304723Z digest=sha256:1ec5f4ae1cb37c551efc02f6d74ee23bb1d5a85733d3e0aecb67f27879fce3f7

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:bbc487d2686e6dc7bad1e20191785266dcce2a04b397918fbc755c08e2f429d7

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=sha256:31d150c460946d6782e3beccd7346be2d47a23e626f03b2876ac3da56ff562bd

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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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=sha256:84da3ccfcf83ed1fe57a66ce666abb49494cb410ff7df6616518fe85637b2b12

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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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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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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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:aea12454a7584fa233699b18d01728dbadf6ee3236c17798ca6898feb364271d

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:ae449c76f974196f8ac9e084e0ef7e81c5108c948e498778f3a3a992bbd6a5fe

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:f6914ceef18d461498709acbfa9214e7ae7cddd2d395cfbb108b48919c34d48e

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:a86ed0cf5f8026f5507a944676842a4e58fc59db83eec7debbeab07be0675895

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=sha256:3ae3c6deeb940c4b7822c41bbc85320b09e41e5a49a03bffbdab526f0325b359

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:dae48094d8fa69d509700732d3b76e5b92ef8c338753840ceefb38e227827a03

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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source=pdf_text observed=2026-08-07T12:02:00.071558Z digest=sha256:d02e402bc35b9f84e18b2e403fc5546ac7f18bd58e81932d3e266aef36b03e21

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=sha256:1dd23f3e5683c7290d7ce0cf188051836a0d59c656f81587ae4b9691c3a0be0b

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:e4b3432fa8697cb7d3764f84eb3189a32c62244e74dc66e9ba81a3fd262e9298

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=sha256:8af6a577a823fe93150a41d8de113cce11dc090bed91e298ffa2192ea1da2997

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:00.479455Z digest=sha256:e8208cd6a4eed29d879e1fae0da6857e7837a68fed71c7ef094ac393b2684c78

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=sha256:0a45cfe8e13ba3e29dc2fc3c7a3b7c52b9c41d1eba65f5e31e7514cb3160aab0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:00.679370Z digest=sha256:af2dbcd058b995b417605ee0bd25078e87be468d4880cb1a9f9376cb6635c94a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:00.740847Z digest=sha256:6570e2fe2972050f04e2361f7736b0ea47268fe3b7785d6af54df413bb917f49

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:00.795050Z digest=sha256:0fb901c9d71694b6ba362767126939204ea04fae390f30be6823d47b6f27701c

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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no resolver link, observed 2026-08-07T12:02:00.860813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:00.860813Z digest=sha256:28e364564b82ab87bd410c4a9ad617093f8c1cd73dbeb96e7aeb90e786e902a1

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:02:00.919429Z digest=sha256:6f2454aad91bf50667f7df83ac5a0607b771ebd54314e454fe49e3cb0647a17e

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:00.982125Z digest=sha256:05743499e95505cc4038c03da3f7e2778a994c51e4bf1c74dbe62c51200d97e0

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:db9fe0fecb363c617a6b8ea8b54234a50ecd46a6cfb389ebf982399dcfa33248

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=sha256:5d92cff2ef1c05a5a48f716cc2ad637b660aad82f5949457c444809cc40dde56

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.165393Z digest=sha256:0c861fc595cd2060d4cbb8f26132e0ec2edb0d5709b9286abade1c766ebe15f2

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

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verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.202545Z digest=sha256:a0fc39ca8de9a8de6510b240f3cc72b43f91d9ce57ded7b49825fb7951a45ffa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.270301Z digest=sha256:0c2e1762fa85b6b4e121f6d6873797ae5268504ebaff2959232685ecef0f4e55

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.329142Z digest=sha256:fefe46ec8f7ffa64f69c491369827bf0e2379cd583a85920118d1d70f26745be

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.404793Z digest=sha256:41c90d2db84a88dfa78e84a648f5bc5da3f1d931ca582beb96fcde0717ca0ace

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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no resolver link, observed 2026-08-07T12:02:01.474857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:01.474857Z digest=sha256:888f8d3d56d296b7b2277cb970f06ba93539a4111e32a978360d78aa22f38363

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.535064Z digest=sha256:b1f51c4f8a24caccf48a94718be8db970cc747fd878df567c24eeb48b12212eb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.604861Z digest=sha256:3a043b4150eaf853e4a138db28de7b34ee67edd94f4d0423e63599b17278db16

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.654347Z digest=sha256:573e3c4d57f7da5a9102f549eebd5ec95e74bc0fd991ea78e012edc29926d083

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.721405Z digest=sha256:3ad90fd328dd696e9f16dd8b2e230eef2059cbdd8150cbd553144cc0e3f65c2d

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

Resolution
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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:d0de19b83da902d14f3ecd366271e292709e664006e0d5fbde2b39ce554d772f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.850056Z digest=sha256:310843acbf0a4ddaa775cc8c8f4e645df120a87c1c0141d2a79e9cf57806778e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.913173Z digest=sha256:5ba914e491cdec1f6c95b7eaed33e35072a3562ecc60ead73751e2d1cdce9bc2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:01.988350Z digest=sha256:0b1a255d13b818f9e7e80af88ae54c34a31d4fb099146cdf8fdcf77902c69e73

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:02.083341Z digest=sha256:4afef7b58f3b22e97e4b8eeda0839d6d46cfeb2db821b1714fe63687fe240e58

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:02.194401Z digest=sha256:44341ab81f3101f9d581b4d3302a1bec6dbb0e0fcc795ca3c2073379fe4f76c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:02.701265Z digest=sha256:8a1a20d865453c7a69d3050a647f3dac82ee6a872d2bf85dd24bb6df62da6033

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:02.846179Z digest=sha256:014ee7f50f7d7e9630ef7ddd0a46be7f314727104d6e5dff301b4ae5c45d3d46

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:02.918916Z digest=sha256:a74cbb1d5c684e2f2027176ef09e3f4e0e4232f2ed542d005dd7b34ccc58ff76

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.042398Z digest=sha256:9c75cc448abc0e17a51e58ae97db08767da8df84df4cd1adb308fa470ce71950

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.165217Z digest=sha256:7b18bd0effe5f78926b73ee37a1d0d34e3fb6918b8be8fe65fac11ee0f9eecdc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.304684Z digest=sha256:4490e3b7f8a9711674739d64eb99d4d9249d122c1fdf23b463d5644ee22b5205

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.388341Z digest=sha256:188289a6342b58f126d40b666ea5cb78dcfa4e90f0aea0b16be558bbc5d4e125

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.507015Z digest=sha256:16680059d8caae8194962915fba319e03b12276be1be61ea15021ec36456a37b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.636313Z digest=sha256:866c239a8a518feaa09c2312c365509dfe12910ac2f1be89af38f86ddc663d3a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.780134Z digest=sha256:a4be90fa5aea3bb95e9ed50104815d3fe1e8f5f73a160ede2a72e5c167f406cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:03.879120Z digest=sha256:6175155e4acd82b8342ff08f8f7ac39c1a111462c478076cd96eecb7d86cb317

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.077227Z digest=sha256:3cf6069f5de815a09b7e4f87b0204034ff6c859820e0f479fe6c89ff239a3e58

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.159286Z digest=sha256:dabe5083d8323f864e826b95c62dfc1700cda6aead026be5f397adcd26b9f4d3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.290015Z digest=sha256:68d5b2f4e5df44bffcf98bb302e3ac89243756fa7690c87c8f224731dca12827

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.395266Z digest=sha256:af8d243562246b7a66c9fc6be7711ccb6960e1f68fbd618711e92d643978d863

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.496093Z digest=sha256:3d0430865220e810104d0239fd1e0792bc01a76fc1178585e52a8362367cbd0a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.506606Z digest=sha256:467ea825e2de63f305db00e348c0cd6eb9c07441835610b05212415818e3ea2e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.511181Z digest=sha256:15a661848b4c23663e36d391018c3def17e760198a01cc1e1ac1a0422ebf3673

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.514972Z digest=sha256:5b600bd259b6322316cbcb4f849133e7a4a22be4b8bf608fcce15af384808677

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.519309Z digest=sha256:4b850167d0fa7d2f53cf8fb091dcf367fd9cd3e975fd82e93dc582614cd621b0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.523303Z digest=sha256:9715cce402c6c59a3fde29ec5d7363f4ed18131e1243941db39f27b75b581c28

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.532145Z digest=sha256:ac86fe5121c58b1dceddabe5e100b6516c83f9e2dd7683211142eb3ff5a029c3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.535892Z digest=sha256:b1355ad4bad79639e5cc98d6c28686d1d9e28b9146be1b9eb7c90d274c0a1e4c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.539792Z digest=sha256:17af1b14467655d1a30c89267c03badc1ddf2834aced4f1f540bf662c2f6ae6e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.544285Z digest=sha256:cd18b8f182084e6c739949633a75fc993ed57c0f76694e202c7766df3b25c4e5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.548738Z digest=sha256:a9e4bdbc88854226f2097d5852b1704568174f2edd6e2da57c2b51d465924121

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.552859Z digest=sha256:fb9afdf0cad1aa53f573d85ca998291d737ca35784129d3166f77f029c63329d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.557063Z digest=sha256:cbc996d3ff5a02e9eb2675e6a6c5e86936fd15be3ccb19c3356516008dd5be3f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:02:04.561621Z digest=sha256:a7e38b3cabd2b3e41a35192a834a170bef448034bd6045c378960ae2295879af

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=sha256:1731a749da0ada5291369b8ad6288bac70ce939fc959cb5dffc667aea68cb479

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T17:28:33.394661Z digest=sha256:db37773054565fd627de5c0ec9c82e6fdaa76ac30c49ff472ed8674df9522be0

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T07:02:54.076784Z digest=sha256:2c964b50ac87e27e556efa9585ba7a43c48f25ccda02e2d0405e22014227a17a