Paper Citation Record · LEDGER

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.00198.

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

pith.paper-citation-record.v1
2608.00198 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:07:50.475890Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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 exact6
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7ad7a05-2a48-4925-9664-36898d28069d · outbound

This paper cites Learninghigh-dimensionaldirectedacyclicgraphswithmixeddata-types,in:ProceedingsofMachine Learning Research, PMLR.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Learninghigh-dimensionaldirectedacyclicgraphswithmixeddata-types,in:ProceedingsofMachine Learning Research, PMLR

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.150276Z

Source-reported events for the cited work

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Observation 2efeca7b-2232-4142-b52e-2956e9f61215 · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.511052Z

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Observation 291f45a7-3d96-46ee-a8cd-d5b1969d301e · outbound

This paper cites Journal of Machine Learning Research 24, 1–8.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Journal of Machine Learning Research 24, 1–8

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.561208Z

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Observation 532df382-336d-4ca1-bebd-ca5ab090e728 · outbound

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

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.040967Z

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Unavailable: canonical work link unavailable.

Observation ae6f9762-81e5-4f39-a777-15425a2bfd1e · outbound

This paper cites Econometrica 89, 955–980.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Econometrica 89, 955–980

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.324595Z

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Observation c7bd9402-5784-4ef9-97ae-2faaf9048c84 · outbound

This paper cites Nature Reviews Earth & Environment 4, 487–505.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Nature Reviews Earth & Environment 4, 487–505

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.576690Z

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Observation 879f631e-5401-47c3-99ae-523c9b449e38 · outbound

This paper cites (Eds.), Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery (Eds.), Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.651019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f38c0c4a-aad2-4dd0-9676-edc1e4de6536 · outbound

This paper cites Science 308, 523–529.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Science 308, 523–529

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.706265Z

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Observation eae2f971-7450-43fc-b7b7-c3eaea42bc18 · outbound

This paper cites doi:10.1214/10-STS330.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery doi:10.1214/10-STS330

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.908295Z

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Observation 4a84e9f3-c88c-43cb-86f8-8f130b2d7e05 · outbound

This paper cites URL:https://github.com/ Center-For-Complex-Systems-Science/causationentropy, doi:10.5281/zenodo.17047565.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery URL:https://github.com/ Center-For-Complex-Systems-Science/causationentropy, doi:10.5281/zenodo.17047565

Reference 28

Resolution: verified exact; doi, observed 2026-08-04T01:08:27.131442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8a995f67-0d6b-47db-9468-8bd1fb4cfbe4 · outbound

This paper cites 2nd ed., MIT Press, Cambridge, MA.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery 2nd ed., MIT Press, Cambridge, MA

Reference 30

Resolution: malformed identifier; no resolver link, observed 2026-08-04T01:07:50.084514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dce844d-238e-4e10-8c1d-18ba6ad0294d · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.141309Z

Source-reported events for the cited work

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Observation 43906849-c23a-44d7-8cf3-b72393fcba7f · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-08-04T01:08:26.406896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1711c470-d9c8-4af7-bc1c-edb500221097 · outbound

This paper cites LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T01:08:26.112401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59f029ee-8afe-4825-94f8-bd8ced3fb90b · outbound

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

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery gCastle: A Python Toolbox for Causal Discovery

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.436962Z

Source-reported events for the cited work

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Observation 92993e99-a80a-45a7-a048-a4c230d3b884 · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.475890Z

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Observation 9df4cba8-cf2f-4916-8c2f-c797443a1802 · outbound

This paper cites Marbach, D., Prill, R.J., Schaffter, T., Mattiussi, C., Floreano, D., Stolovitzky, G.,.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Marbach, D., Prill, R.J., Schaffter, T., Mattiussi, C., Floreano, D., Stolovitzky, G.,

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.753977Z

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Observation bdae8daf-e823-411a-a6bd-6d170dd645fa · outbound

This paper cites Marco Ruiz et al.:Preprint submitted to ElsevierPage 31 of 33 AutoCause: Automating expert decisions in environmental time-series causal discovery Granger,C.W.J.,1969.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Marco Ruiz et al.:Preprint submitted to ElsevierPage 31 of 33 AutoCause: Automating expert decisions in environmental time-series causal discovery Granger,C.W.J.,1969

Reference 524

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.462436Z

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Unavailable: canonical work link unavailable.

Observation 508cc87e-2f72-4554-9e96-0183e223343b · outbound

This paper cites Pamfil, R., Sriwattanaworachai, N., Desai, S., Pilgerstorfer, P., Georgatzis, K., Beaumont, P., Aragam, B.,.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Pamfil, R., Sriwattanaworachai, N., Desai, S., Pilgerstorfer, P., Georgatzis, K., Beaumont, P., Aragam, B.,

Reference 1415

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.120454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e64a885-057a-43d6-beca-6579e54707e8 · outbound

This paper cites Journal of Econometrics 66, 225–250.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Journal of Econometrics 66, 225–250

Reference 1995

Resolution: verified exact; doi, observed 2026-08-04T01:08:26.684352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bda39934-9b41-4405-b75d-d08d7a121e11 · outbound

This paper cites Physical Review Letters 85, 461–464.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Physical Review Letters 85, 461–464

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.779424Z

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Observation 47448947-1110-4e07-ac78-7d2b301ed78f · outbound

This paper cites Springer, Berlin, Heidelberg.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Springer, Berlin, Heidelberg

Reference 2005

Resolution: verified exact; doi, observed 2026-08-04T01:08:28.071382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7da590f-3748-4da1-b6cc-47e101fb0715 · outbound

This paper cites Journal of Machine Learning Research 7, 2003–2030.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Journal of Machine Learning Research 7, 2003–2030

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.853397Z

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Unavailable: canonical work link unavailable.

Observation 5e39836a-30be-4b44-aa71-bd814bfb63e2 · outbound

This paper cites The Annals of Statistics 35, 2769–2794.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery The Annals of Statistics 35, 2769–2794

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.176566Z

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Unavailable: canonical work link unavailable.

Observation 96c2af6b-6c67-4dc8-a739-d4104daca329 · outbound

This paper cites 2nd ed., Cambridge University Press.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery 2nd ed., Cambridge University Press

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.194466Z

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Observation 325cd820-ab2b-46ae-9104-1ecb797c6d60 · outbound

This paper cites Proceedings of the National Academy of Sciences 107, 6286–6291.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Proceedings of the National Academy of Sciences 107, 6286–6291

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.838409Z

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Observation 4702c80b-861b-4e0e-a06c-2aac723a3421 · outbound

This paper cites NeuroImage 54, 875–891.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery NeuroImage 54, 875–891

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.037797Z

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Observation 863cc24b-3593-4e21-b898-22df3d4fa75a · outbound

This paper cites 5th ed., John Wiley & Sons.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery 5th ed., John Wiley & Sons

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.250940Z

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Observation db47f41e-9e41-4fe3-87a6-54c732bb46d4 · outbound

This paper cites The MIT Press.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery The MIT Press

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.270921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96424e2-6465-4966-a41c-1f675078a0c7 · outbound

This paper cites Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-04T01:08:27.510764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 738f0f1b-ef4d-4989-af3c-f5f60933b819 · outbound

This paper cites Biogeosciences 17, 1033–1061.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Biogeosciences 17, 1033–1061

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.634717Z

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Observation 18eff1be-a93b-4591-9935-a62713eed4a0 · outbound

This paper cites Knowledge and Information Systems 63, 3041–3085.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Knowledge and Information Systems 63, 3041–3085

Reference 2021

Resolution: verified exact; doi, observed 2026-08-04T01:08:27.885861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f54272f2-bb2f-420e-93fe-5a0e84add1fa · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.912322Z

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Observation fdb49cdb-7000-460d-aa1c-115aa7f3b502 · outbound

This paper cites Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.191137Z

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Observation 39cd4e30-dba5-488d-bd89-bb5d50dbb18e · outbound

This paper cites (Eds.), Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery (Eds.), Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.339720Z

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Unavailable: canonical work link unavailable.

Observation dba95bd3-7142-4d71-b05f-c6de62c29123 · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:48.410885Z

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Unavailable: canonical work link unavailable.

Observation afce5c3a-ec06-44a6-b73a-0719c1a8a0ab · outbound

This paper cites an unresolved cited work.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Unresolved cited work

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.223947Z

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Observation 392b05d2-373c-4574-b568-d8b972571b45 · outbound

This paper cites Runge, J., Gerhardus, A., Varando, G., Eyring, V., Camps-Valls, G.,.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Runge, J., Gerhardus, A., Varando, G., Eyring, V., Camps-Valls, G.,

Reference 2553

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:49.478008Z

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Pith citing papers

No inbound Pith citation observations are available.