Paper Citation Record · LEDGER

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.03602.

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

pith.paper-citation-record.v1
2606.03602 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:56:24.138197Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05c02695-c23f-4a7f-871f-c989c9680f48 · outbound

This paper cites The MIT Press, Cambridge, MA, 2nd edition, 2000.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery The MIT Press, Cambridge, MA, 2nd edition, 2000

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908dee43-247b-460e-87d1-37268f01cd68 · outbound

This paper cites Cambridge University Press, 2009.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Cambridge University Press, 2009

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 7f5fec6e-290a-45d2-9717-6500831a477f · outbound

This paper cites Basic Books, 2018.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Basic Books, 2018

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation c5980a11-cca6-46e4-af9d-63cb3037fd94 · outbound

This paper cites A survey on causal inference.ACM Transactions on Knowledge Discovery from Data (TKDD), 15(5):1–46, 2021.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery A survey on causal inference.ACM Transactions on Knowledge Discovery from Data (TKDD), 15(5):1–46, 2021

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation 5d242b00-bf9f-4774-bc16-800b1e324727 · outbound

This paper cites Causal inference in the presence of latent variables and selection bias.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causal inference in the presence of latent variables and selection bias

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 50a3ad46-c5c1-4139-9ef2-dd8c20d90288 · outbound

This paper cites Optimal structure identification with greedy search.Journal of machine learning research, 3:507–554, 2002.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Optimal structure identification with greedy search.Journal of machine learning research, 3:507–554, 2002

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 9e680747-1687-44c2-8492-606572e12c4c · outbound

This paper cites Fast scalable and accurate discovery of dags using the best order score search and grow shrink trees.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Fast scalable and accurate discovery of dags using the best order score search and grow shrink trees

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4188ccc-f4d3-4251-b1d5-cb6303257d20 · outbound

This paper cites Greedyrelaxationsofthesparsestpermutation algorithm.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Greedyrelaxationsofthesparsestpermutation algorithm

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation f55e9e48-a3a3-4844-958b-02cb16de70a7 · outbound

This paper cites an unresolved cited work.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 4dc719de-7001-4a1f-acaf-0cdd83ce89d3 · outbound

This paper cites DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4991d1-ac8a-4928-9de2-3df49fddd9cc · outbound

This paper cites Equivalence and synthesis of causal models.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Equivalence and synthesis of causal models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation 2ecf9741-9e8e-4e33-b237-26e08148f315 · outbound

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

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Efficient causal graph discovery using large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation e1d979fd-3b4a-4c64-b8eb-ca0ad3a8d70f · outbound

This paper cites Causal-llm: A unified one-shot framework for prompt-and data-driven causal graph discovery.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causal-llm: A unified one-shot framework for prompt-and data-driven causal graph discovery

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 7dccaab3-e366-4837-8f91-b32775c7790c · outbound

This paper cites D-Band Cascode Up conversion Mixer Utilizing Double Mixing Technique for En- hanced Linearity and Output Power in 130-nm SiGe Process.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery D-Band Cascode Up conversion Mixer Utilizing Double Mixing Technique for En- hanced Linearity and Output Power in 130-nm SiGe Process

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T11:02:01.291735Z

Source-reported events for the cited work

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Observation 6999ffb1-2f8f-4bec-a23b-44988f31995c · outbound

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

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causal modelling agents: Causal graph discovery through synergising metadata-and data-driven reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 0e4f6e6c-9125-41eb-a996-677f6224bc53 · outbound

This paper cites Causcientist: Teaching llms to respect data for causal discovery.arXiv preprint arXiv:2601.13614, 2026.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causcientist: Teaching llms to respect data for causal discovery.arXiv preprint arXiv:2601.13614, 2026

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.634801Z

Source-reported events for the cited work

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Observation d672fa5b-f49d-40b9-a250-a4d788567740 · outbound

This paper cites Balasubramanian, and Amit Sharma.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Balasubramanian, and Amit Sharma

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation 10cac259-31ef-42dd-8575-c65cd7371c10 · outbound

This paper cites Integrating large language models in causal discovery: A statistical causal approach.Transactions on Machine Learning Research, 2025.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Integrating large language models in causal discovery: A statistical causal approach.Transactions on Machine Learning Research, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7043d7cf-f741-46ec-a3ca-cf99abcafe3f · outbound

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

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causal discovery with language models as imperfect experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31105bdd-528c-4262-a385-c49427fd29ea · outbound

This paper cites Causal discovery via mml.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causal discovery via mml

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e2eeb2-e996-494b-965c-a00a6e0c894c · outbound

This paper cites Can LLMs express their uncertainty? an empirical evaluation of confidence elicitation in LLMs.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Can LLMs express their uncertainty? an empirical evaluation of confidence elicitation in LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8172dc94-a55b-4343-ba90-0a922f7594c9 · outbound

This paper cites Deep structural causal models for tractable counterfactual inference.Advances in neural information processing systems, 33: 857–869, 2020.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Deep structural causal models for tractable counterfactual inference.Advances in neural information processing systems, 33: 857–869, 2020

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Unavailable: canonical work link unavailable.

Observation 9a2a131e-7f16-49a0-aa22-5ccbd2df75b9 · outbound

This paper cites Learning bayesian networks with the bnlearn r package.Journal of statistical software, 35:1–22, 2010.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Learning bayesian networks with the bnlearn r package.Journal of statistical software, 35:1–22, 2010

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814a649c-1018-4c6b-9c2f-3136c9377386 · outbound

This paper cites CRC Press, 2nd edition, 2010.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery CRC Press, 2nd edition, 2010

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bfbd8b8-c44f-4861-8054-99f15994a433 · outbound

This paper cites Adaptive probabilistic networks with hidden variables.Machine Learning, 29(2):213–244, 1997.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Adaptive probabilistic networks with hidden variables.Machine Learning, 29(2):213–244, 1997

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation c81423bd-85c6-4d1e-a895-f37d9115b803 · outbound

This paper cites An expert system for control of waste water treatment—a pilot project.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery An expert system for control of waste water treatment—a pilot project

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Unavailable: canonical work link unavailable.

Observation ad1a45e7-54a5-4073-abfc-0f0cd5840549 · outbound

This paper cites The alarm monitoring system: A case study with two probabilistic inference techniques for belief networks.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery The alarm monitoring system: A case study with two probabilistic inference techniques for belief networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation a88f2c93-11f1-49f6-936e-40adbec8d012 · outbound

This paper cites an unresolved cited work.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation ad5a1464-8ad8-4e5b-968d-b4de94eb4e42 · outbound

This paper cites Decision-theoretic troubleshooting.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Decision-theoretic troubleshooting

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

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Observation 73d550ee-b0d6-4231-8ff3-42272cabe15b · outbound

This paper cites Structural intervention distance for evaluating causal graphs.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Structural intervention distance for evaluating causal graphs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 436c5dd9-b1fc-4da2-80cc-792eb1295e44 · outbound

This paper cites Learning sparse nonparametric dags.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Learning sparse nonparametric dags

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fcda739-031d-465c-800c-73b13b87ded6 · outbound

This paper cites Sample, estimate, aggregate: A recipe for causal discovery foundation models.Transactions on Machine Learning Research,.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Sample, estimate, aggregate: A recipe for causal discovery foundation models.Transactions on Machine Learning Research,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation db43d7e2-17e0-42bf-a40b-dd064874b0be · outbound

This paper cites URLhttps://openreview.net/forum?id=h434zx5SX0.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery URLhttps://openreview.net/forum?id=h434zx5SX0

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 068ac6e5-87e6-4864-820c-e8fd808693e9 · outbound

This paper cites Causcale: Neural causal discovery at scale.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causcale: Neural causal discovery at scale

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 9ded7335-ba34-4e13-8a93-74e88d31a593 · outbound

This paper cites pgmpy: A python toolkit for bayesian networks.Journal of Machine Learning Research, 25(265):1–8, 2024.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery pgmpy: A python toolkit for bayesian networks.Journal of Machine Learning Research, 25(265):1–8, 2024

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 55aa6dda-f7d4-4baa-ac79-14a2bee98ed5 · outbound

This paper cites Pedregosa, G.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Pedregosa, G

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Observation 5ad9780a-b270-4d99-96ec-6940a909f166 · outbound

This paper cites Causal-learn: Causal discovery in python.Journal of Machine Learning Research, 25(60):1–8, 2024.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery Causal-learn: Causal discovery in python.Journal of Machine Learning Research, 25(60):1–8, 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T10:56:24.138197Z

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Unavailable: canonical work link unavailable.

Observation 9f5117a8-60c9-4360-8bb8-ee453b471161 · outbound

This paper cites gCastle: A Python Toolbox for Causal Discovery.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery gCastle: A Python Toolbox for Causal Discovery

Reference 38

Resolution: malformed identifier; arxiv_id, observed 2026-07-02T02:26:26.631954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

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