Paper Citation Record · LEDGER

Large Causal Models for Temporal Causal Discovery

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2602.18662.

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

pith.paper-citation-record.v1
2602.18662 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:03:35.411143Z

measured 55 of 55 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

55 of 55 outbound references displayed

verified exact0
verified fuzzy0
unresolved54
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malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bb2f695-82d5-4ed6-8359-f3495f666583 · outbound

This paper cites Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning.

Large Causal Models for Temporal Causal Discovery Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning

Reference 1

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Observation a73e0c28-84b5-4037-b0e2-6374fa9ee490 · outbound

This paper cites Journal of Artificial Intelligence Research73, 767–819 (2022).

Large Causal Models for Temporal Causal Discovery Journal of Artificial Intelligence Research73, 767–819 (2022)

Reference 2

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Observation a17a0341-7819-4020-b467-db8842532686 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Large Causal Models for Temporal Causal Discovery On the Opportunities and Risks of Foundation Models

Reference 3

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Observation 0d1b0e74-3bf8-490e-bbfc-feb11984712b · outbound

This paper cites Pattern Recognition30(7), 1145–1159 (1997).

Large Causal Models for Temporal Causal Discovery Pattern Recognition30(7), 1145–1159 (1997)

Reference 4

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Observation e46caa99-b654-40ea-9ddd-3153d082cd9a · outbound

This paper cites Machine Learning45(1), 5–32 (2001).

Large Causal Models for Temporal Causal Discovery Machine Learning45(1), 5–32 (2001)

Reference 5

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This paper cites Springer Science & Business Media (1991).

Large Causal Models for Temporal Causal Discovery Springer Science & Business Media (1991)

Reference 6

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Observation 70962ac0-f836-4c2f-ae74-808c4cc79726 · outbound

This paper cites Advances in Neural Information Processing Systems (2020).

Large Causal Models for Temporal Causal Discovery Advances in Neural Information Processing Systems (2020)

Reference 7

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Observation 4cbdf700-d795-4592-a6a5-dd4c4476f1ba · outbound

This paper cites Advances in Neural Information Processing Systems33, 1877–1901 (2020).

Large Causal Models for Temporal Causal Discovery Advances in Neural Information Processing Systems33, 1877–1901 (2020)

Reference 8

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Observation 2507ca57-17c6-476a-8daa-1338352dec84 · outbound

This paper cites Magnetic Resonance in Medicine39(6) (1998).

Large Causal Models for Temporal Causal Discovery Magnetic Resonance in Medicine39(6) (1998)

Reference 9

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This paper cites In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

Large Causal Models for Temporal Causal Discovery In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 10

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Observation d26ab09d-2ca5-4ba6-a7b6-0cdc7ef7c27c · outbound

This paper cites International Conference on Learning Representations (2024).

Large Causal Models for Temporal Causal Discovery International Conference on Learning Representations (2024)

Reference 11

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Observation 8ed37b7f-a611-4175-928a-13e151924e00 · outbound

This paper cites Wiley & Sons (1999).

Large Causal Models for Temporal Causal Discovery Wiley & Sons (1999)

Reference 12

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Observation 5a8e9f66-860f-4713-9cc7-fb43b358c42a · outbound

This paper cites In: International Conference on Machine Learning.

Large Causal Models for Temporal Causal Discovery In: International Conference on Machine Learning

Reference 13

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Observation f597dc31-eac4-42c2-af07-86ec50b70d37 · outbound

This paper cites Journal of the American statistical association74(366a), 427–431 (1979).

Large Causal Models for Temporal Causal Discovery Journal of the American statistical association74(366a), 427–431 (1979)

Reference 14

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Observation 53b83c66-9d02-4c3a-9bb2-8d4664119c6a · outbound

This paper cites In: International Conference on Learning Representations (2017).

Large Causal Models for Temporal Causal Discovery In: International Conference on Learning Representations (2017)

Reference 15

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Observation 441f0bea-0015-42e5-ac0d-447ef3e38e16 · outbound

This paper cites Ad- vances in neural information processing systems32(2019).

Large Causal Models for Temporal Causal Discovery Ad- vances in neural information processing systems32(2019)

Reference 16

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Observation 568fe16a-f6b1-4dcb-a356-c41f3ef1ece0 · outbound

This paper cites Journal of Computational and Graphical Statistics21(4), 825–839 (2012).

Large Causal Models for Temporal Causal Discovery Journal of Computational and Graphical Statistics21(4), 825–839 (2012)

Reference 17

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Observation 26f771ab-69fa-4c3f-a789-e9d09ceffda1 · outbound

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Large Causal Models for Temporal Causal Discovery Unresolved cited work

Reference 18

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Observation b085a35e-d446-4edf-84fd-b907e0f34af0 · outbound

This paper cites Transactions of Machine Learning Research (2024).

Large Causal Models for Temporal Causal Discovery Transactions of Machine Learning Research (2024)

Reference 19

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Observation 0917c3f9-1b12-49f6-bc0a-04b7a2fe57e7 · outbound

This paper cites Adversarial Causal Tuning for Realistic Time-series Generation.

Large Causal Models for Temporal Causal Discovery Adversarial Causal Tuning for Realistic Time-series Generation

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Observation 5c803399-3c6a-45bc-86ed-26868ce38699 · outbound

This paper cites Causal Generative Neural Networks.

Large Causal Models for Temporal Causal Discovery Causal Generative Neural Networks

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Observation c9a3b87c-a283-4969-8252-42050ae5118e · outbound

This paper cites Explainable and Interpretable Models in Computer Vision and Machine Learning pp.

Large Causal Models for Temporal Causal Discovery Explainable and Interpretable Models in Computer Vision and Machine Learning pp

Reference 22

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Large Causal Models for Temporal Causal Discovery Unresolved cited work

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Observation b332f556-0ba4-44fe-bc59-d842b3886026 · outbound

This paper cites Forecasting5(1), 315–335 (2023).

Large Causal Models for Temporal Causal Discovery Forecasting5(1), 315–335 (2023)

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Observation 595e7c31-fa61-47be-8f8c-807273a1b2b8 · outbound

This paper cites Springer Nature (2019).

Large Causal Models for Temporal Causal Discovery Springer Nature (2019)

Reference 25

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Observation f5b1f047-77c0-4cde-8e67-4c9e26f05f9b · outbound

This paper cites Journal of Machine Learning Research11(5) (2010).

Large Causal Models for Temporal Causal Discovery Journal of Machine Learning Research11(5) (2010)

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Observation 313d8e1b-aac4-4572-9c48-1efe60f77d19 · outbound

This paper cites Journal of Machine Learn- ing Research23(219), 1–62 (2022).

Large Causal Models for Temporal Causal Discovery Journal of Machine Learn- ing Research23(219), 1–62 (2022)

Reference 27

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This paper cites In: International Conference on Learning Representations (2023).

Large Causal Models for Temporal Causal Discovery In: International Conference on Learning Representations (2023)

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This paper cites In: International Conference on Learning Representations (2021).

Large Causal Models for Temporal Causal Discovery In: International Conference on Learning Representations (2021)

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This paper cites In: International Symposium on Mathematical Problems in Theoretical Physics: Kyoto University, Kyoto/Japan.

Large Causal Models for Temporal Causal Discovery In: International Symposium on Mathematical Problems in Theoretical Physics: Kyoto University, Kyoto/Japan

Reference 30

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Observation d046b036-e7e1-4168-8c2e-e510aab692af · outbound

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Large Causal Models for Temporal Causal Discovery Unresolved cited work

Reference 31

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Observation b6b7f053-90d5-4b9e-8cbb-cc1e305dca1e · outbound

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Large Causal Models for Temporal Causal Discovery Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

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Large Causal Models for Temporal Causal Discovery Timer: Generative Pre-trained Transformers Are Large Time Series Models

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This paper cites Advances in Neural Information Processing Systems 35, 13104–13118 (2022).

Large Causal Models for Temporal Causal Discovery Advances in Neural Information Processing Systems 35, 13104–13118 (2022)

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Large Causal Models for Temporal Causal Discovery In: Conference on Causal Learning and Reasoning

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Observation a760d9e5-15cb-47c5-8b59-6fc09dd2a069 · outbound

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Large Causal Models for Temporal Causal Discovery Machine Learning and Knowledge Extraction1(1), 19 (2019)

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Large Causal Models for Temporal Causal Discovery In: International Conference on Artificial Intelligence and Statistics

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Large Causal Models for Temporal Causal Discovery Advances in neural information processing sys- tems32(2019)

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Large Causal Models for Temporal Causal Discovery Cambridge University Press, 2nd edn

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Large Causal Models for Temporal Causal Discovery The MIT Press (2017)

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Large Causal Models for Temporal Causal Discovery OpenAI (2018)

Reference 42

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Large Causal Models for Temporal Causal Discovery Chaos: An Interdisciplinary Journal of Nonlin- ear Science28(7) (2018)

Reference 43

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Large Causal Models for Temporal Causal Discovery Nature communications10(1), 2553 (2019)

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Large Causal Models for Temporal Causal Discovery Nature Reviews Earth & Environment4(7), 487–505 (2023)

Reference 45

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Observation d6a35cae-8d7d-4ee2-aa86-afcda5d29762 · outbound

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Large Causal Models for Temporal Causal Discovery Neuroimage54(2), 875–891 (2011)

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Large Causal Models for Temporal Causal Discovery MIT Press (2001)

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Large Causal Models for Temporal Causal Discovery AAAI Workshop (AI4TS) (2024)

Reference 48

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Large Causal Models for Temporal Causal Discovery Advances in Neural Information Processing Systems37, 134287–134316 (2024)

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Large Causal Models for Temporal Causal Discovery Advances in Neural Information Pro- cessing Systems30(2017)

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Large Causal Models for Temporal Causal Discovery PMLR (2024)

Reference 51

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Large Causal Models for Temporal Causal Discovery Transformers and Their Roles as Time Series Foundation Models

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Large Causal Models for Temporal Causal Discovery In: ICLR Workshop on Machine Learning for Genomics Explorations (2024)

Reference 53

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Large Causal Models for Temporal Causal Discovery Towards Causal Foundation Model: on Duality between Causal Inference and Attention

Reference 54

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Large Causal Models for Temporal Causal Discovery In: Proceed- ings of AAAI

Reference 55

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Pith citing papers

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