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Cyclic functional causal models beyond unique solvability with a graph separation theorem

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2502.04171.

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

pith.paper-citation-record.v1
2502.04171 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:17:01.043642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:59:36.795884Z

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation acc205da-a075-44a2-8d4a-f776ee9c5bac · outbound

This paper cites Research trend of causal ma- chine learning method: a literature review.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Research trend of causal ma- chine learning method: a literature review

Reference 1

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Observation f56e6ee1-bdc6-43c5-b496-a0bfceaf4eb5 · outbound

This paper cites Device-independent test of causal order and relations to fixed-points.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Device-independent test of causal order and relations to fixed-points

Reference 7

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This paper cites Quantum com- putations without definite causal structure.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Quantum com- putations without definite causal structure

Reference 9

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Quantummechanicsnearclosedtimelikelines

Reference 11

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This paper cites Theory-independent limits on correlations fromgeneralizedbayesiannetworks.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Theory-independent limits on correlations fromgeneralizedbayesiannetworks

Reference 19

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This paper cites A review of causal inference for biomed- ical informatics.

Cyclic functional causal models beyond unique solvability with a graph separation theorem A review of causal inference for biomed- ical informatics

Reference 20

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This paper cites Quantifying causality in data sci- ence with quasi-experiments.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Quantifying causality in data sci- ence with quasi-experiments

Reference 22

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Observation 07ff9ea4-5aa1-468d-9d3e-a69dacf204e4 · outbound

This paper cites Closed timelike curves via postselection: Theory and experimental test of consistency.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Closed timelike curves via postselection: Theory and experimental test of consistency

Reference 24

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This paper cites Gravitational field equations for sources with axial symmetry and angular momentum.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Gravitational field equations for sources with axial symmetry and angular momentum

Reference 25

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This paper cites Big data, data sci- ence, and causal inference: a primer for clinicians.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Big data, data sci- ence, and causal inference: a primer for clinicians

Reference 31

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This paper cites A characterization of Markov equivalence for directed cyclic graphs.

Cyclic functional causal models beyond unique solvability with a graph separation theorem A characterization of Markov equivalence for directed cyclic graphs

Reference 32

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Observation 5c892689-3761-4dc9-adb8-9d5c70179ce6 · outbound

This paper cites General framework for cyclic and fine-tuned causal models and their compatibility with space-time.

Cyclic functional causal models beyond unique solvability with a graph separation theorem General framework for cyclic and fine-tuned causal models and their compatibility with space-time

Reference 36

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This paper cites Causal networks: semantics and expressiveness.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Causal networks: semantics and expressiveness

Reference 38

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This paper cites Verma, J.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Verma, J

Reference 39

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This paper cites The inflation technique for causal inference with latent variables.

Cyclic functional causal models beyond unique solvability with a graph separation theorem The inflation technique for causal inference with latent variables

Reference 40

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This paper cites Causal discovery and inference: concepts and recent methodological advances.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Causal discovery and inference: concepts and recent methodological advances

Reference 1938

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Observation d107d60b-1573-433d-8593-b3728dfff070 · outbound

This paper cites On the logic of causal models.

Cyclic functional causal models beyond unique solvability with a graph separation theorem On the logic of causal models

Reference 1949

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Observation 9b672cb8-9f34-4248-8772-e794627d8f2b · outbound

This paper cites Foundations of structural causal models with cycles and latent variables.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Foundations of structural causal models with cycles and latent variables

Reference 1964

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Observation 63d94036-6491-44cc-b98c-8e1d98a19fdb · outbound

This paper cites On deducing conditional independence from d-separation in causal graphs with feedback (research note).

Cyclic functional causal models beyond unique solvability with a graph separation theorem On deducing conditional independence from d-separation in causal graphs with feedback (research note)

Reference 1967

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Observation 7b1461ee-cd9d-413b-a6ac-ee277955e27c · outbound

This paper cites Cyclic quantum causal modelling with a graph separation theorem.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Cyclic quantum causal modelling with a graph separation theorem

Reference 1982

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Identifying independence in bayesian net- works

Reference 1990

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Communication by EPR devices

Reference 1991

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This paper cites Bell nonlocality.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Bell nonlocality

Reference 1993

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This paper cites Pearl, Causality, Cambridge University Press, 2nd edition, doi:10.1017/CBO9780511803161,.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Pearl, Causality, Cambridge University Press, 2nd edition, doi:10.1017/CBO9780511803161,

Reference 1996

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Graphical models, causal inference, and econo- metric models

Reference 1997

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This paper cites Quantum correlations with no causal order.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Quantum correlations with no causal order

Reference 2000

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Cyclic functional causal models beyond unique solvability with a graph separation theorem IX.-the gravitational field of a distribution of particles rotating about an axis of symmetry

Reference 2005

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Causal models and learning from data integrat- ing causal modeling and statistical estimation

Reference 2009

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Indepen- dence properties of directed markov fields

Reference 2011

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This paper cites Identifying Independencies in Causal Graphs with Feedback.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Identifying Independencies in Causal Graphs with Feedback

Reference 2012

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Observation 5890d592-2f29-483e-90cc-015ece3c48a1 · outbound

This paper cites On the Einstein Podolsky Rosen paradox.

Cyclic functional causal models beyond unique solvability with a graph separation theorem On the Einstein Podolsky Rosen paradox

Reference 2014

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Observation 39dfa27d-bda5-46ea-a569-77620a3955f5 · outbound

This paper cites The space of logically consistent classical pro- cesses without causal order.

Cyclic functional causal models beyond unique solvability with a graph separation theorem The space of logically consistent classical pro- cesses without causal order

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Observation b0f6cb40-df5c-47b2-b315-ff63daf25d1c · outbound

This paper cites Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders

Reference 2017

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This paper cites An example of a new type of cosmological solutions of Ein- stein’s field equations of gravitation.

Cyclic functional causal models beyond unique solvability with a graph separation theorem An example of a new type of cosmological solutions of Ein- stein’s field equations of gravitation

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This paper cites A single quantum cannot be cloned.

Cyclic functional causal models beyond unique solvability with a graph separation theorem A single quantum cannot be cloned

Reference 2019

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Observation 376f5639-8936-410f-95e0-f42b88f451bd · outbound

This paper cites Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels

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Cyclic functional causal models beyond unique solvability with a graph separation theorem Quantum Causal Models

Reference 2021

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Observation b975b6f9-d432-4503-83b8-299837b0cba5 · outbound

This paper cites Impossibility of superluminal signaling in Minkowski spacetime does not rule out causal loops.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Impossibility of superluminal signaling in Minkowski spacetime does not rule out causal loops

Reference 2022

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Observation 7afc221e-90f4-4066-b532-9e5f06be2d7b · outbound

This paper cites Quantum causal modelling.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Quantum causal modelling

Reference 2023

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Observation 53630277-f922-4847-81f1-76bc6147e3ec · outbound

This paper cites Markov Properties for Graphical Models with Cycles and Latent Variables.

Cyclic functional causal models beyond unique solvability with a graph separation theorem Markov Properties for Graphical Models with Cycles and Latent Variables

Reference 2025

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Pith citing papers

Observation fc59e503-d4da-4360-9bc7-e3921c20c558 · inbound

An equivalence between time-symmetry and cyclic causality in quantum theory cites this paper.

An equivalence between time-symmetry and cyclic causality in quantum theory Cyclic functional causal models beyond unique solvability with a graph separation theorem

Reference 47

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Observation 40e3d564-8bb6-40c2-a893-e47d3728e17c · inbound

Impossibility of superluminal signalling rules out causal loops in conical spacetimes cites this paper.

Impossibility of superluminal signalling rules out causal loops in conical spacetimes Cyclic functional causal models beyond unique solvability with a graph separation theorem

Reference 26

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source=pdf_text observed=2026-06-26T16:28:22.561103Z digest=sha256:9f59e04c07cff2ca40d24f8e0cb3ebd30d7bdfa6c6a24f10663f80fe143e1e5a

Observation ca194d71-5933-4971-9516-566cd2c98418 · inbound

Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States cites this paper.

Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States Cyclic functional causal models beyond unique solvability with a graph separation theorem

Reference 15

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source=arxiv_source observed=2026-08-01T12:37:33.423641Z digest=sha256:0878f327b200c033689f58ba61653aa1baf70b11c1011d439d361d54c19bdd60