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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 12 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 2026-08-12T06:34:41.77262+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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source=pdf_text observed=2026-08-07T12:01:55.778133Z digest=sha256:557a9ae9c86a404f735716b4ac3b82987b29e985129805590da5d687449c4a94

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:d3f7465181e1485ceb4202e6dee79ec62e2b045d07c3d85d6d0308d056b99874

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=sha256:4d8f009c78848a92743f92e972bcb838923f7e9848e59286ea87716c69be6477

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=sha256:4e34290a4899f89ab24ea65166bccfc1e34f5ef073ca90edbdfe8d112367a305

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 2026-08-12T06:34:41.77262+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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source=pdf_text observed=2026-08-07T12:01:56.735407Z digest=sha256:9d49147438229254d18b8328cf54796a6b04dbd65c68aaf02a8cc8a1d3cb1aac

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=sha256:0268605342165ebc53933a6ea7e6ed189b1066662387dcf2a91dd81e15cedc71

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=sha256:491de1593dffae10bd54c28421927d78ceae12323af1c2ce9f6fcf4a4f826b2d

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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source=pdf_text observed=2026-08-07T12:01:57.642522Z digest=sha256:393b12df72e4f6ac90826e64c3b3d7af54291bde87c96a23cc632d3b961b5662

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:a55ef81482ec8942770590dd807049c890ec6bd0542622c512e8fd29f151bede

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=sha256:5053b15395e0bdc2b035b9346aad86ddff9997aba27ae9f7cc57eafa8228a497

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=sha256:2faa93620696d1121359979df9ade5ce671d74fe25400194f11f278776ca12d9

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=sha256:50f73d4e2e3195fb8e7a1718145d02d0cafd05146aa40981f2a9f68f2944afdb

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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source=pdf_text observed=2026-08-07T12:01:58.624445Z digest=sha256:69058e79894513c22d8129b2d5c3c1168788cacadb944866b43bacd2298bee2b

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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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:01:58.876467Z digest=sha256:6922368159a2d77d86319fb5cb62a117bc36ff551005285a6234388af178d6eb

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=sha256:55ae9fb901da60f916bde7a96354694aa312299733943a64955172239ecfbe10

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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source=pdf_text observed=2026-08-07T12:01:59.221044Z digest=sha256:918e9fdc19ea7577a998f3bae4c16c59fe4e15627260215bf9348ddb66682026

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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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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:00.679370Z digest=sha256:c996b279040c9bfbe0f5ff6d328384737e3bf9b8d7fbef392bd9723f547d1412

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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:00.740847Z digest=sha256:c86ce9c05d041601aebcd8d888d94eaa22af24d36d44d4649def3a1a37350ba9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:00.795050Z digest=sha256:adf594274839d9ec7e26ef5e20d6ae003234622f069432497dec23c65b592bec

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

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source=pdf_text observed=2026-08-07T12:02:00.860813Z digest=sha256:c9101c4fcd0af2b3c9f32ca85aa1d88694553e86bb496baf469f65b524a42e87

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=sha256:2a0d27fdd44b3655c675c136e462aa7dc6e101eb41222e8f07cfff9df271de25

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:00.982125Z digest=sha256:beb605a352cd689ef4427ae73655e2c8cc68534b7b31436aa4615eec7b94a2e8

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:f6bbd132680fa205702e4c24267630fbee5ad4e13bcd47135066f71f7a1ce120

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:b3154c057b14ecf18ba1855fa1a8a8a276cdaff7853d2dbedb422dd1ab288e49

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.165393Z digest=sha256:32dcb59998f859e373522d128fdf3f51e2f08ef34a9327adf0c1e5935804e376

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.202545Z digest=sha256:3adf64655a8ea9715ac2c563758a8573c275a45a564c0e1b396519d4bcea18bd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.270301Z digest=sha256:f3a0ba3680ca2fcd20abdb2c6895ee48112a47e8de25433fa2284d740f86db7f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.329142Z digest=sha256:abb5ae98ec47b29352570981ae907413f8fed222b7a6e83a6fef0d17115fc293

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.404793Z digest=sha256:b739d357d854d19790459bbf07193afa2881d8fcf67d5b7c8d3f14bf351741e2

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.535064Z digest=sha256:5ef7a7df43ad11a8337788ef292003759fb994d4e362540626cb4c72fb5aa11b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.604861Z digest=sha256:c4b811a076853a05083dcf1552593b5fd944f9a0394334bdfdb11d5bf9efe7a2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.654347Z digest=sha256:b70f1316568e8e3f3756114fa68db39e86ce9fb9ddf20920ec5aa4dff6c025b7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.721405Z digest=sha256:a68d9a3741b224ba45abb18608b4854fb3785ce1b03124aa7b4cc079e72309a4

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: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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.850056Z digest=sha256:043b06e41ce8321a06f5a903b832614d196febebf94dd4efb45232107d8846f3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.913173Z digest=sha256:f20f994263b864706807f2432f1fbb166e843c77c17e42dbdda6691eef602939

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:01.988350Z digest=sha256:dd926b9a7efeba488627fda79bb4d00884b74bef0afafc0a8aa52ef4a73f0dbd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:02.083341Z digest=sha256:3179207b4a37100e721b42099edb3d01c173ce4b8567451d8bf911f3cd773eeb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:02.194401Z digest=sha256:5eaa336dd616c56e8dc191442729d7c28979e88c844fcf200ba6de279419be2a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:02.701265Z digest=sha256:7d5b964262751ea09af947378fb5f1f86a5df495a587e4c342719528eb784a8a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:02.846179Z digest=sha256:1efee697be50f584ddc580ab252c457659841e2e009c1c882ef6611d28509e76

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:02.918916Z digest=sha256:960960d60862eec468ee166328fc58eac828abf46669529ba47c699a58c963c9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.042398Z digest=sha256:7ae8b8ed0270e74b9645f5a0abf61f7e4e628aae1bd7eed58cddabbcfac92548

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.165217Z digest=sha256:f3d8bc1fc241023d12ae7cd135a875e6af92d06a97caa56c7fbd4cb7b338d4e5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.304684Z digest=sha256:fa6ba9f231966bddb072ac27339aa9f57e15da764479367fca08031a65f69ae4

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.388341Z digest=sha256:104f91309bbca2c50208f03c4add8033ea85cbc2d6697b9e3fe66cb826e5bc3a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.507015Z digest=sha256:780c995f4fe6aef034cd85b2b5410cb9b1d864bbb7c1e0369ca03dadab66962e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.636313Z digest=sha256:877a9ff9cbe2b5c30cc7fd1bb3a0a172e5e856a40d8d034665a850f43fa513e2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.780134Z digest=sha256:a97414369c613e25dc6d8a8d68253d9b42eb80dc4b22357344c7ca3953f18863

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:03.879120Z digest=sha256:4e2fca30c3280238c556c3d84cd5ec5521684b00cfa4e51c06938eea017e861a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.077227Z digest=sha256:3d25768d1a5614d0868d0e1b896b13170aacaafee1e1caee19dc4e4094fe47d6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.159286Z digest=sha256:c46d4352a3fde3c89d38cf6425791b1e6c70f8a3d317a3de77f5d237a153679e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.290015Z digest=sha256:4aa1ecbd447fa64a4b1d093ce0db08a10e2bb362972bc9df18e9e178726c28b1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.395266Z digest=sha256:21d1f4a4480343db300dfed46d77ea0c12372a7a875254d43db85c3a43faa516

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.496093Z digest=sha256:b96c1b85dae0566094a9f7d6fad1c8fafbedfd188b8c8103f88418163b466006

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.506606Z digest=sha256:af304efc9006dea100aaae29f469b92f6deb005063d6c0ef2e838827f56621da

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.511181Z digest=sha256:25b194c6760b78a5e5d90a1f30cbdd542e9f2ded0c89da2ae86ab4174ba37ec3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.514972Z digest=sha256:5e09d7319558d4297f02ce0260d68a87be2c8ba104b2bf3c5e25c0b0f6bb3031

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.519309Z digest=sha256:bfa4ba022dce8cd39831098888f7948d392568a146479f9f848df10806bda69c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.523303Z digest=sha256:039e21c6d11b51892a7124b65016a29e45bc8bdc155f8958a7453afc61581025

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.532145Z digest=sha256:25ea3c52b190f46ebf55a7f3b9da0f86a92c1a2a8c8511fe205f7e0aa53de972

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.535892Z digest=sha256:936b6328ea269307e45579e1fb519b56979cd37b17b5fcbec8265bdb3dc9e522

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.539792Z digest=sha256:cf090c7c303246636426dbe329c57bb9991bf8d5f5de3f4e48fa10d5c44e86e1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.544285Z digest=sha256:9e2211231f394e94d18c8afab256dc98375855fd19888ac298598ddd4e4133ac

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.548738Z digest=sha256:6c53b8ff9fbf9563006c86b3ab4c2009a7777d660a4b646c06c23b779ab39af2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.552859Z digest=sha256:93646add2317bc64d3b66268f30bf0da62bcdcf5ebb0f5454fc1af16dc839889

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.557063Z digest=sha256:7004625e1a8fc7c758c1cc116cf6612b75938a10c01cc5f3df34314b86fd59bb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:02:04.561621Z digest=sha256:89b720e83d085e6b6320d73d3e79f6de11a01238429ea44188cbb2cf54669a00

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:acaf6027fe8189c7b51359ab3f2ccda284530db5b7f08951f83dd6af909b13bd

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-29T17:28:33.394661Z digest=sha256:8c3a0a25bc24406de9abbae4da9475464a3b4df3bf234bc3433727371a252c20

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T07:02:54.076784Z digest=sha256:f58fe17ed9d9288d2ecf0dd36af3099e57d16038c69ddff99bcd81351385f14f