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Paper Citation Record · LEDGER

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure

As of 18 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2608.13456.

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

pith.paper-citation-record.v1
2608.13456 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:42:08.480927Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

100 of 300 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb9e0e28-f687-442c-b596-a2bb3ad8b7f8 · outbound

This paper cites and Janzing, D.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure and Janzing, D

Reference 1

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source=arxiv_source observed=2026-08-14T10:42:08.083198Z digest=sha256:b5ec108719115a309ed00e4967092ef7ae3e022a28c8bd124fa44402b1a9de96

Observation 949db5d3-bd17-4559-a9ef-ae2468235626 · outbound

This paper cites MICCAI Workshop on Fairness of AI in Medical Imaging , pages=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure MICCAI Workshop on Fairness of AI in Medical Imaging , pages=

Reference 2

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source=arxiv_source observed=2026-08-14T10:42:08.088282Z digest=sha256:2a20aee885957713e43b7e303f33a067ff239e74904ab69d89d251ed44379fa4

Observation 18c01116-b7e1-40fd-8a76-874518f157d1 · outbound

This paper cites arXiv preprint arXiv:2509.14252 , year=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure arXiv preprint arXiv:2509.14252 , year=

Reference 3

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source=arxiv_source observed=2026-08-14T10:42:08.092441Z digest=sha256:9c68cc47325a8bc6f93ce7bd0a12e0e773473f7d5f99dad8ef5038dc4741a6da

Observation 87730057-1a1d-4db4-ba99-99abec4c5906 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-14T10:42:08.096684Z digest=sha256:b9bd8989129916457d80d8b7a55326996da92791386c691e727e388f649f47d6

Observation 89b1af04-1890-4ce6-b22d-c87435c0a190 · outbound

This paper cites AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques , year=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques , year=

Reference 5

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source=arxiv_source observed=2026-08-14T10:42:08.100446Z digest=sha256:8e1503cbc669381909f0051b2e09d051fe6dda40bc642ee80f567e15559fa659

Observation dca30dff-8713-446b-a1d2-2b32c467c806 · outbound

This paper cites When Does LeJEPA Learn a World Model?.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure When Does LeJEPA Learn a World Model?

Reference 6

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source=arxiv_source observed=2026-08-14T10:42:08.104522Z digest=sha256:721e7dd9f93df9044465988481814b82a4b9afc8266d77554cbddd685591387b

Observation 9ae6d72e-cd41-4835-b192-1a1917c693b7 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-14T10:42:08.108998Z digest=sha256:8c1d574a49f351c5ff934b9ad4b076552cc45b28f0fb1db61246fa8c2a2329b1

Observation e1ac6de3-8d79-4a8a-945b-115e2678c227 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 8

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source=arxiv_source observed=2026-08-14T10:42:08.112918Z digest=sha256:6456c969cca432ff4fec8e80faaa0e9e227902abb04747d3550ffffd32d86b96

Observation 33aa3f29-07b4-4875-9d6a-acb7a3acff4a · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 9

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source=arxiv_source observed=2026-08-14T10:42:08.118074Z digest=sha256:dc5162a73cf572905f6999cd61977b171e9de08f09d00b18396ca2ac7b9e5e05

Observation f457a81e-6fb5-4bf3-bd6f-740fc5c8ef7f · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-14T10:42:08.122488Z digest=sha256:8b7466a8c5bc0284321d9b4c90a9630f3418d7996a3b84a065acee6428aef9bb

Observation 40ea62e6-cc5f-44eb-9c87-e900e19614a7 · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Journal of Artificial Intelligence Research , volume=

Reference 11

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source=arxiv_source observed=2026-08-14T10:42:08.126412Z digest=sha256:8c7b397974516b2e59ea9d0d748507c1cdcf14c072ad861b6fbf4e696755fcf1

Observation d676c220-ea13-460e-994f-c1c7b423d3ea · outbound

This paper cites Maathuis and Markus Kalisch and Thomas S.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Maathuis and Markus Kalisch and Thomas S

Reference 12

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source=arxiv_source observed=2026-08-14T10:42:08.130535Z digest=sha256:de9eeb5d1ed3e79d52f155b922f7d6cfa94aaeb33e3091626ec83130e293d675

Observation 14e77e4a-8535-4e2d-8a7b-ded3885c3f19 · outbound

This paper cites On random graphs.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure On random graphs

Reference 13

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source=arxiv_source observed=2026-08-14T10:42:08.134266Z digest=sha256:c5e4a24ab25c723bbb3210292b2fe5e378d14dd1d4623658c64f97c80f51561e

Observation e9b5667d-14e9-4e65-88d9-7abeeb24627f · outbound

This paper cites 1983 , publisher=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 1983 , publisher=

Reference 14

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source=arxiv_source observed=2026-08-14T10:42:08.138019Z digest=sha256:8b599f48a1494b6db35321acc3eae6583e4b9f3e2ef44f83634ff3fda895d2dc

Observation b5fef40f-6c17-4a0e-9982-9a7a2ff152d6 · outbound

This paper cites Ramsey and Jiji Zhang and Peter Spirtes , title =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Ramsey and Jiji Zhang and Peter Spirtes , title =

Reference 15

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source=arxiv_source observed=2026-08-14T10:42:08.142332Z digest=sha256:825e8c96ab71571cfb08ad475b369bd4460189c79530224f9f46f5c551149a86

Observation 59c8a411-498f-4fbb-a6ea-d977f249c094 · outbound

This paper cites Causal inference and causal explanation with background knowledge , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Causal inference and causal explanation with background knowledge , booktitle =

Reference 16

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source=arxiv_source observed=2026-08-14T10:42:08.146170Z digest=sha256:700e305bf0a8cfecfaba25667e702a8926111f5ace5f7f86167a48cbce6df816

Observation f5346df1-26e1-47bf-ab96-73f570b854ef · outbound

This paper cites Strong completeness and faithfulness in Bayesian networks , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Strong completeness and faithfulness in Bayesian networks , booktitle =

Reference 17

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source=arxiv_source observed=2026-08-14T10:42:08.150240Z digest=sha256:775e4311a4108983a8276e8f8c691bcee8c299bfdcd512b2c3fba272e2cfad1e

Observation 671d7635-4a1a-4872-a4f5-b03dc841d5a7 · outbound

This paper cites The Annals of Statistics , number =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure The Annals of Statistics , number =

Reference 18

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source=arxiv_source observed=2026-08-14T10:42:08.153831Z digest=sha256:7d1c3bb159e3a4071a6564a532b355c2e2c5a4259163e693c4e907dbc4578b4e

Observation a0bb7e78-6c55-4bf6-9bcb-ecacccafaaf4 · outbound

This paper cites Xing , opteditor =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Xing , opteditor =

Reference 19

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source=arxiv_source observed=2026-08-14T10:42:08.157928Z digest=sha256:6b03cbd6f06a9babb048b8e8112973d325cd18bace66f0fce17b9fa29501dc34

Observation ba2c36c1-62bc-4bd5-a17a-3fe96fb72a1f · outbound

This paper cites Xing , optopteditor =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Xing , optopteditor =

Reference 20

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source=arxiv_source observed=2026-08-14T10:42:08.161792Z digest=sha256:290a1db7de693aa13cc58536bbc8f00bc3ab3fff1c6bcea8a3c313cdd8220199

Observation 0a8862a4-daaf-4591-8a89-d407da359d71 · outbound

This paper cites Masked Gradient-Based Causal Structure Learning , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Masked Gradient-Based Causal Structure Learning , booktitle =

Reference 21

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source=arxiv_source observed=2026-08-14T10:42:08.165268Z digest=sha256:5d50301caa4bcf1bc663b54d3986b65b8fc8ddad588360e1d7e6122da4c66d36

Observation 0d9912ea-794c-4645-ba5a-854c0f7cdf14 · outbound

This paper cites Gradient-Based Neural.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Gradient-Based Neural

Reference 22

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source=arxiv_source observed=2026-08-14T10:42:08.169873Z digest=sha256:139b685e32d60d429c152d4198b9696ee43ead3b0de68608761eafdd27828ea7

Observation 673d9e65-802b-4f8b-ba52-077bd58489fd · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-14T10:42:08.173664Z digest=sha256:0e9eb847bff4b3265241ad372c16d8b96595d85001831c8b03c9b8e0df9d8cfe

Observation 0e0136a4-a739-48c3-a940-c45ca69cd40d · outbound

This paper cites Generalized Score Functions for Causal Discovery , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Generalized Score Functions for Causal Discovery , booktitle =

Reference 24

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source=arxiv_source observed=2026-08-14T10:42:08.177225Z digest=sha256:f23f66aa9a72e897c1a737f26926d7e41579596ac70edfa04c95ceb91137e252

Observation f733198e-ad8b-4c3a-8191-6dbb7402284a · outbound

This paper cites Ramsey and Madelyn Glymour and Ruben Sanchez.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Ramsey and Madelyn Glymour and Ruben Sanchez

Reference 25

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source=arxiv_source observed=2026-08-14T10:42:08.181492Z digest=sha256:f52b767b5f7d9504537f0d343501417e6b5827ae45ad58e05092e3f3358fe74a

Observation 5816b809-86cd-46a2-901e-ce5b51acf66d · outbound

This paper cites 2009 , optisbn =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 2009 , optisbn =

Reference 26

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source=arxiv_source observed=2026-08-14T10:42:08.185300Z digest=sha256:791cdb9fabc076c2ee004aa55a00ff1db280664c7286698f05ee3e79f678776d

Observation af928c51-a8ec-456d-ad62-a7e37c0819ea · outbound

This paper cites Structural Intervention Distance for Evaluating Causal Graphs , journal =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Structural Intervention Distance for Evaluating Causal Graphs , journal =

Reference 27

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source=arxiv_source observed=2026-08-14T10:42:08.190142Z digest=sha256:070c536dae2a99fd3dcf89580c634283846ae633d60046b20a3bf86ec7b7ead7

Observation ead5cc87-75bb-4b84-afdd-9ac59cf6bb63 · outbound

This paper cites Reisach and Christof Seiler and Sebastian Weichwald , opteditor =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Reisach and Christof Seiler and Sebastian Weichwald , opteditor =

Reference 28

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source=arxiv_source observed=2026-08-14T10:42:08.194391Z digest=sha256:0f14c3fbaa18940e7558cf26a5e4df78f94340e6626588a558245fb64c23bcca

Observation b0541e6b-9657-4489-8fe0-6cedcddb7c08 · outbound

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

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure gCastle: A Python Toolbox for Causal Discovery

Reference 29

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source=arxiv_source observed=2026-08-14T10:42:08.198517Z digest=sha256:1d008882867a3ab311f057ea06a03138237fd19e265b82c24fd0db3f52583216

Observation 4af9ad18-b81b-4eb6-8e9e-347c6e1bf422 · outbound

This paper cites Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , year =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , year =

Reference 30

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source=arxiv_source observed=2026-08-14T10:42:08.203316Z digest=sha256:52fc082f3154955ce16087c29f1e6f4550fd074f8c68ca6924f4987ccaf0259e

Observation 2b429cb7-ea11-4a02-b7f6-4ced7303e697 · outbound

This paper cites Constraint-based Causal Structure Learning with Consistent Separating Sets , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Constraint-based Causal Structure Learning with Consistent Separating Sets , booktitle =

Reference 31

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source=arxiv_source observed=2026-08-14T10:42:08.207034Z digest=sha256:054f3cafeec33eb0cf766fedb674c8be09d0142bd3ab994384ea349b51c64fa9

Observation c97f0f06-9392-4633-8b01-e331739e451a · outbound

This paper cites Proceedings of the 2023.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Proceedings of the 2023

Reference 32

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source=arxiv_source observed=2026-08-14T10:42:08.210809Z digest=sha256:31357593ac16993f511b750f2cdd7523c5fdbf52b42c6bad3d4c572b74098b4a

Observation 24e40501-7480-4296-b0b1-84e253b7404c · outbound

This paper cites Proceedings of the Fourth European Workshop on Probabilistic Graphical Models , pages=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Proceedings of the Fourth European Workshop on Probabilistic Graphical Models , pages=

Reference 33

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source=arxiv_source observed=2026-08-14T10:42:08.214814Z digest=sha256:89d6656fae826bdbe9a203aa92de948d170e7c70ad40cb344fda810fad24a379

Observation 2c79b19e-2084-4bd2-b14a-ecfe95026709 · outbound

This paper cites Kernel-based Conditional Independence Test and Application in Causal Discovery , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Kernel-based Conditional Independence Test and Application in Causal Discovery , booktitle =

Reference 34

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source=arxiv_source observed=2026-08-14T10:42:08.219213Z digest=sha256:4edd48a12467c6ef4b01da57ed0d6b634da298100840274acef2fb31ffab2045

Observation fff69b29-d8ff-46a6-aee9-c35730fbfdbd · outbound

This paper cites A Kernel Statistical Test of Independence , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure A Kernel Statistical Test of Independence , booktitle =

Reference 35

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source=arxiv_source observed=2026-08-14T10:42:08.223136Z digest=sha256:618bbb06a84d75a892920b06e8ba5f8ce7cefcb5e811139991bc42d14f22ae8c

Observation 397044b3-8b23-44eb-9ee9-6965962bb473 · outbound

This paper cites Breakthroughs in statistics: Methodology and distribution , pages=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Breakthroughs in statistics: Methodology and distribution , pages=

Reference 36

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source=arxiv_source observed=2026-08-14T10:42:08.226958Z digest=sha256:5091ca14b2f2cfcf7007ef12011efde2c82ab772cabf2eabc9a51224a15bd43a

Observation cce3af63-dd57-4897-ac28-a21d7597c166 · outbound

This paper cites Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm , journal =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm , journal =

Reference 37

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source=arxiv_source observed=2026-08-14T10:42:08.230664Z digest=sha256:6ad30b48a62b02dbecb5ff9162f144220f9738311424cc4650088ccc51e10986

Observation ace716e4-68b5-41e8-89c4-aab1bf0c0406 · outbound

This paper cites Statistical Papers , author =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Statistical Papers , author =

Reference 38

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source=arxiv_source observed=2026-08-14T10:42:08.235068Z digest=sha256:d3dcac3f2e1c7c64bbd1fc0f51090e3164dbb184cab7bf8c57bfa4d228c5c01a

Observation 91cf758f-d0e7-44e4-ba6b-d4ae883c6404 · outbound

This paper cites PNAS Nexus , volume =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure PNAS Nexus , volume =

Reference 39

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source=arxiv_source observed=2026-08-14T10:42:08.239230Z digest=sha256:94a716500d4fa1eec0ed52fe3587f7beef91bbc66b733bca81e4886f2d4600c1

Observation 00fe6031-1d21-43df-8e7a-be04c73fb1ae · outbound

This paper cites Mooij and Dominik Janzing and Bernhard Sch.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Mooij and Dominik Janzing and Bernhard Sch

Reference 40

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source=arxiv_source observed=2026-08-14T10:42:08.242959Z digest=sha256:41fd89b6ac3feb037efec26a5138bf05edbf5cb6ac5d6d78ffe7bbfe0f22f4aa

Observation bfe1a651-0f6a-44df-b84f-b920e36afc0d · outbound

This paper cites On the Identifiability of the Post-Nonlinear Causal Model , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure On the Identifiability of the Post-Nonlinear Causal Model , booktitle =

Reference 41

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source=arxiv_source observed=2026-08-14T10:42:08.246808Z digest=sha256:cd5244b66abbf3405ac0c64c1a452839664e14a9b8b5287719e60ad13274ba4b

Observation 66035564-cd50-429e-ae79-02ca2999e147 · outbound

This paper cites Hoyer and Aapo Hyv.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Hoyer and Aapo Hyv

Reference 42

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source=arxiv_source observed=2026-08-14T10:42:08.250588Z digest=sha256:2df4a1e0096085440903d48c7b998b3817a9583590e00a28188adffc6812e56b

Observation c0baa446-8f99-4645-9896-6d22738df8ac · outbound

This paper cites Automated Discovery of Linear Feedback Models , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Automated Discovery of Linear Feedback Models , booktitle =

Reference 43

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source=arxiv_source observed=2026-08-14T10:42:08.254302Z digest=sha256:ef4ce51bac1cfb9e3f6d3ee35b65e6b189b6a8e50e5f25b89594263b52951664

Observation 94a207b1-6d16-4653-9de5-a8e3fb4f0903 · outbound

This paper cites Mooij and Tom Claassen , opteditor =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Mooij and Tom Claassen , opteditor =

Reference 44

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source=arxiv_source observed=2026-08-14T10:42:08.258186Z digest=sha256:326daddcbff7c900cf4ae01bd3519f7d57e7406f29d8a87c8821f4bdebe969cd

Observation 408d824a-1acc-471e-b5e5-7afa74a29289 · outbound

This paper cites Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models , booktitle =

Reference 45

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source=arxiv_source observed=2026-08-14T10:42:08.262123Z digest=sha256:807da7ba35bc989aee13183fd72e9584bf6175d91379e25c08798b47f0ab5c36

Observation 9918be20-a54c-48f6-9780-bf004cd13267 · outbound

This paper cites Lundberg and Su.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Lundberg and Su

Reference 46

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source=arxiv_source observed=2026-08-14T10:42:08.265990Z digest=sha256:f5d1b3cf3b66bbd3e713369c325b638b96a1fba37ee036875c4bc4aeae311c84

Observation 3e6cf22c-9926-4634-8348-939b69839545 · outbound

This paper cites Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability , booktitle =

Reference 47

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source=arxiv_source observed=2026-08-14T10:42:08.270071Z digest=sha256:dcfe8990967184a6df8bdad34aff92f5db6ca1409b49d1b45a78400b6e4a778d

Observation 9a9e9d71-3c37-4681-88cf-366142dee1b3 · outbound

This paper cites 2014 , howpublished = ".

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 2014 , howpublished = "

Reference 48

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source=arxiv_source observed=2026-08-14T10:42:08.273834Z digest=sha256:b22bfd256a11eade76b071840d6ca03bd7a7de0e4f59c6991c85ea028a8a4243

Observation 90c18c06-a999-48a2-8dfe-d7525afca341 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-14T10:42:08.277873Z digest=sha256:f24aa8f0c3a61412ba07e1af0f996d6a111a68b64f29867b5858869a652c9df8

Observation 19d10de2-44f4-45d9-92d8-19b9875943f9 · outbound

This paper cites Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models , optbooktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models , optbooktitle =

Reference 50

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source=arxiv_source observed=2026-08-14T10:42:08.281790Z digest=sha256:06788cc72963e0c672cd8435f62acdddeb6ec6b7fcebe071d0be99b847d7fcfa

Observation 92fdca5b-43d3-4643-9537-2ccadd9955f6 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning,.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Proceedings of the 36th International Conference on Machine Learning,

Reference 51

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source=arxiv_source observed=2026-08-14T10:42:08.286426Z digest=sha256:ad8ecd8f9e393f2869d9a60b5bd6a3f1f19b5cb816a9a03d1ce66a92c6f9939f

Observation 3fd9981e-865a-49f5-abad-0b57dc7074b7 · outbound

This paper cites Causal Autoregressive Flows , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Causal Autoregressive Flows , booktitle =

Reference 52

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source=arxiv_source observed=2026-08-14T10:42:08.290332Z digest=sha256:94f919b101e8f19ed0d11eb49eb9bb90b4fcd78f73f0cb060272e31dc6ea19b2

Observation 81a397d9-e680-43c5-85bf-852a843939f7 · outbound

This paper cites O'Neil and Sotirios A.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure O'Neil and Sotirios A

Reference 53

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no resolver link, observed 2026-08-14T10:42:08.294397Z

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source=arxiv_source observed=2026-08-14T10:42:08.294397Z digest=sha256:f8f2fcb1f1fd881ab67153ef6b1517f744bf664279dd238e8e942fba6c7e461c

Observation 13c3a394-a308-4e11-84a3-3c1af6d39db7 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-08-14T10:42:08.298489Z digest=sha256:84c0987f75a81c67bff7c77e2ab9ad29876f5015365c7a9a0fbdd3dd9d402600

Observation a45378ef-95c2-4763-b9bf-16c016cfd974 · outbound

This paper cites Bayesian structure learning with generative flow networks , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Bayesian structure learning with generative flow networks , booktitle =

Reference 55

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source=arxiv_source observed=2026-08-14T10:42:08.302394Z digest=sha256:ed4e247962ce28c913a2fe0e6dfdcb912acf2d7467cb369d9b46f97c012dcdae

Observation 3f1b05bd-923e-4acd-a256-4fecc4cbbbe1 · outbound

This paper cites Optimal Transport for Causal Discovery , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Optimal Transport for Causal Discovery , booktitle =

Reference 56

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source=arxiv_source observed=2026-08-14T10:42:08.306638Z digest=sha256:db9d66dacd1eb07b3aa9360b4c31d31862148fea2e06d2ff8f95c914bde61ab0

Observation fd58232c-3e5c-4f90-8def-cf39333d4a59 · outbound

This paper cites Mooij , opteditor =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Mooij , opteditor =

Reference 57

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.311483Z digest=sha256:828fe26553e5e44d6204052a0168872ebd61b75265a7212662a28065c5b597b5

Observation 861d3eba-413c-4f6b-9ed2-3c123758c50a · outbound

This paper cites Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery , booktitle =

Reference 58

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source=arxiv_source observed=2026-08-14T10:42:08.315307Z digest=sha256:f80ddd13cd041c0ba96422de49fbb02993d6cdb979b3b3cdd7ca0f04ceb34aec

Observation 8baab7f2-91cc-47d7-842e-6c6a068519c4 · outbound

This paper cites A Hybrid Causal Search Algorithm for Latent Variable Models , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure A Hybrid Causal Search Algorithm for Latent Variable Models , booktitle =

Reference 59

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.318990Z digest=sha256:5b4a498b3df11edaff72dedbd3b813e7faf27f58612f6430dbac57669bb12675

Observation c1bd16ff-e7e5-43bd-8a95-73fc8fdbc517 · outbound

This paper cites A Bayesian Approach to Constraint Based Causal Inference , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure A Bayesian Approach to Constraint Based Causal Inference , booktitle =

Reference 60

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source=arxiv_source observed=2026-08-14T10:42:08.322744Z digest=sha256:e666bffd90770645f59ee4883f56047aa4fe03ab3adf32480753b24cb7689121

Observation 82ee708d-38c8-4ce7-b67c-7185046d12d9 · outbound

This paper cites Hoyer and Peter Spirtes , title =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Hoyer and Peter Spirtes , title =

Reference 61

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source=arxiv_source observed=2026-08-14T10:42:08.326437Z digest=sha256:b3af998961b968724d9f5c18d3565b9a8857a57006bbb09fbbd623916acae1d5

Observation 60213a23-a224-49b4-8757-abf87f67bd07 · outbound

This paper cites A Core-Guided Approach to Learning Optimal Causal Graphs , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure A Core-Guided Approach to Learning Optimal Causal Graphs , booktitle =

Reference 62

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source=arxiv_source observed=2026-08-14T10:42:08.330233Z digest=sha256:a7f2002cba0ac894b3001ade875900373d8e88f9fe7043073428b2713d472555

Observation cca53942-0458-4078-8160-9c31663c191a · outbound

This paper cites Proceedings of the ACM India Joint International Conference on Data Science and Management of Data , pages =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Proceedings of the ACM India Joint International Conference on Data Science and Management of Data , pages =

Reference 63

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source=arxiv_source observed=2026-08-14T10:42:08.333914Z digest=sha256:16b232bd798e11d2058f3aad4ecda35e34f87b51251e29f116d80b7b69867fab

Observation 93aefc4f-6410-4aae-9891-3f6ea8027aab · outbound

This paper cites and Sadler, Brian M.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure and Sadler, Brian M

Reference 64

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source=arxiv_source observed=2026-08-14T10:42:08.337868Z digest=sha256:71a90a64e287d2393d61300e20bf4a0c141ca444748b757d605f235ab96b9715

Observation 0868392e-1f03-4d49-b14f-7c25960e5516 · outbound

This paper cites Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions , booktitle =

Reference 65

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source=arxiv_source observed=2026-08-14T10:42:08.342885Z digest=sha256:937aa1d61f23af993e213b947e13da8ca464a08d5eaece7096f8688026f90ee3

Observation fe1c8a15-75e1-4523-a515-2dd9ad4a096b · outbound

This paper cites Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning , booktitle =

Reference 66

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source=arxiv_source observed=2026-08-14T10:42:08.346991Z digest=sha256:e1e4f8c4edf0c897c7f979ebf7e01dc004dfd436e331702be21ce6e680d9f9de

Observation d892cce6-fdd7-4b30-ae42-93e8a14c06ac · outbound

This paper cites Science , volume=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Science , volume=

Reference 67

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source=arxiv_source observed=2026-08-14T10:42:08.350547Z digest=sha256:df5787749a003452a2bde8cb9e2a0bd852cd620e912cd64446006b6b27cf09ad

Observation 478e71ee-e577-4083-b9ca-f2e9836da4a8 · outbound

This paper cites Beinlich and Henri Jacques Suermondt and R.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Beinlich and Henri Jacques Suermondt and R

Reference 68

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source=arxiv_source observed=2026-08-14T10:42:08.353940Z digest=sha256:882202a7308fb6fd91819c55ba34f4a365b0eb330b9ec0a3c3ff174ae9a83cc0

Observation 36217662-31f2-432e-afb0-ca1d5ed3d511 · outbound

This paper cites Differentiable and Transportable Structure Learning , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Differentiable and Transportable Structure Learning , booktitle =

Reference 69

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source=arxiv_source observed=2026-08-14T10:42:08.357785Z digest=sha256:18083fb6fa8b2a5cf860c804c93dff50a2d2ca30331063af9a219347e1e62967

Observation bd5f2b6b-8064-4cbc-a3b6-778fd81d4f29 · outbound

This paper cites Causal structure-based root cause analysis of outliers , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Causal structure-based root cause analysis of outliers , booktitle =

Reference 70

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source=arxiv_source observed=2026-08-14T10:42:08.361493Z digest=sha256:b1f36a19a3d281bcb265bf6d348746ecd73f0f0ca900821d1f2a53c92898da98

Observation 577100a1-8691-4c92-a17c-86344b95d239 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-08-14T10:42:08.364930Z digest=sha256:3d2201279d13dce10c31a4713963150b0177aaa58eabe68d472f6d668c239c49

Observation 48d69bfb-88a2-430d-aac5-54c21be22090 · outbound

This paper cites Ramsey and Ruben Sanchez.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Ramsey and Ruben Sanchez

Reference 72

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source=arxiv_source observed=2026-08-14T10:42:08.368788Z digest=sha256:e1469b7dd750b44107e7237e63bc32bcf791c748dcddb74396fa77e27f8ba0ad

Observation b4450d6a-5069-4bf5-98cb-c1df4f69c966 · outbound

This paper cites Greedy relaxations of the sparsest permutation algorithm , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Greedy relaxations of the sparsest permutation algorithm , booktitle =

Reference 73

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source=arxiv_source observed=2026-08-14T10:42:08.372713Z digest=sha256:8a6dc9fc72d86f2a3df4d6adf2fe646cb8e3f73f33068f46e8af60798aa2d095

Observation 6f5868fa-7e68-4743-b062-98f70ff1a99f · outbound

This paper cites 2012 , publisher=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 2012 , publisher=

Reference 74

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source=arxiv_source observed=2026-08-14T10:42:08.376572Z digest=sha256:3ff69e47c033b01feaab4ff97fc2af8aaa46b02906490142df7860242195a111

Observation b63d329e-4da3-4eaf-b490-86102c529b7a · outbound

This paper cites Hagberg and Daniel A.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Hagberg and Daniel A

Reference 75

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source=arxiv_source observed=2026-08-14T10:42:08.380851Z digest=sha256:63330246d10b94d8d7c161f3d605530ecc50ed34823aa5ddfe55a95b7a3525e9

Observation e4dc360e-ed0e-4ec3-b0d6-5ccafaee17cc · outbound

This paper cites , title =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure , title =

Reference 76

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source=arxiv_source observed=2026-08-14T10:42:08.384357Z digest=sha256:0ec001f7fe764119ea291963b616c1c33648247fa0814c8f86acaacdb0121fb7

Observation 3a4ce556-15c2-4f4b-b380-63e33929420b · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 77

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source=arxiv_source observed=2026-08-14T10:42:08.388229Z digest=sha256:fbb6fcb9b8feea7e77aeffac7c6d928b97eb056240ab3cc7cc8372ad4bdf20a4

Observation 3db78f16-a137-4535-ac65-b2eed48dab6d · outbound

This paper cites 1989 , timestamp =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 1989 , timestamp =

Reference 78

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no resolver link, observed 2026-08-14T10:42:08.392182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.392182Z digest=sha256:2cc24ab1f768956905d3f0e01dc506611965e0891bc451330f6133a7faf2efb6

Observation 7cbdb08e-d295-4c24-8a77-925c2a813e11 · outbound

This paper cites Limitations of the Application of Fourfold Table Analysis to Hospital Data , urldate =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Limitations of the Application of Fourfold Table Analysis to Hospital Data , urldate =

Reference 79

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source=arxiv_source observed=2026-08-14T10:42:08.395953Z digest=sha256:f341c4e4935e2cb5e1c6e75937306aaa6f78e68142e9bd089c0d51ccc70a141d

Observation 45e095eb-0d08-4423-a06b-6dd29e4529c2 · outbound

This paper cites 2016 , publisher=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 2016 , publisher=

Reference 80

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no resolver link, observed 2026-08-14T10:42:08.399453Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.399453Z digest=sha256:1874c611acfcb1916d77772ffeba7dcbef391deec0bfe17413b9cacefd38cd34

Observation b2aea7a2-58ff-4fd8-8c21-d504b0a112c7 · outbound

This paper cites On the logic of causal models , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure On the logic of causal models , booktitle =

Reference 81

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no resolver link, observed 2026-08-14T10:42:08.403317Z

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source=arxiv_source observed=2026-08-14T10:42:08.403317Z digest=sha256:d299bfb4a44ec16c5d979dee6453d063d7ed375e1acb9c6168e4264f1b80b031

Observation 19740515-9de4-407b-94be-531cb8f6ba85 · outbound

This paper cites Watson and Ricardo Silva , opteditor =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Watson and Ricardo Silva , opteditor =

Reference 82

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no resolver link, observed 2026-08-14T10:42:08.406888Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.406888Z digest=sha256:36d1c03ef4ad5b8f9557b7e7ba535f2de0234230257aa730806f6baf7f7bd28d

Observation 572f66bd-a241-4309-96e0-06a53bbcedf1 · outbound

This paper cites Proceedings of the 7th European Conference on Artificial Intelligence - Volume 2 , pages =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Proceedings of the 7th European Conference on Artificial Intelligence - Volume 2 , pages =

Reference 83

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no resolver link, observed 2026-08-14T10:42:08.410781Z

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source=arxiv_source observed=2026-08-14T10:42:08.410781Z digest=sha256:65fec3241bc6b5f2d573f6f83b4c7ebc42322b02d4d4757001b20d9aa59d8288

Observation b4a186ef-4af2-4468-a167-e297a7dd13f5 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 84

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no resolver link, observed 2026-08-14T10:42:08.416046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.416046Z digest=sha256:c702360474fbbfb54f2187f8e2f505ab0ab053614388a028d3350f38fd097563

Observation d3209f67-4f2f-4ae4-988c-e9ea1a278981 · outbound

This paper cites 1987 , publisher=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 1987 , publisher=

Reference 85

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no resolver link, observed 2026-08-14T10:42:08.420210Z

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source=arxiv_source observed=2026-08-14T10:42:08.420210Z digest=sha256:c414a6bb9fe2e7eb52ced22d1210274e9064c7be78756b2f96e8acde67a7bb52

Observation bec6c987-4273-4096-b6a1-be09e72312b5 · outbound

This paper cites Networks , volume =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Networks , volume =

Reference 86

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no resolver link, observed 2026-08-14T10:42:08.424094Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T10:42:08.424094Z digest=sha256:c8d1c029d4fbb01e3acc59e064e0405a753830a5cd54bb4e5ab612312f01ef0e

Observation 74cdc71e-ad14-4c4e-82c7-a1f17aaea321 · outbound

This paper cites Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-value.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-value

Reference 87

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no resolver link, observed 2026-08-14T10:42:08.428042Z

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source=arxiv_source observed=2026-08-14T10:42:08.428042Z digest=sha256:9d0f29fe2a2a951876132159e3a09b6c033a91a826ada524d2e47b70616625c1

Observation a7bae947-8fa3-4a13-b7d1-00b21ed86a32 · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 88

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no resolver link, observed 2026-08-14T10:42:08.432088Z

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source=arxiv_source observed=2026-08-14T10:42:08.432088Z digest=sha256:bd0e157dc1b1d2db88332e55d930a020a46cfa88b71913fd612d14e913380dee

Observation 77745483-bd08-405a-b714-25201465f12a · outbound

This paper cites Gradual Semantics for Logic-Based Bipolar Graphs Using T-(Co)norms , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Gradual Semantics for Logic-Based Bipolar Graphs Using T-(Co)norms , booktitle =

Reference 89

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no resolver link, observed 2026-08-14T10:42:08.436544Z

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source=arxiv_source observed=2026-08-14T10:42:08.436544Z digest=sha256:b609a7584a91086633e6478ad7acc4c2f679b8ce0429aace5074f51334dfa92c

Observation 02da39e7-37c4-4164-9e00-f4a4fca2ecc6 · outbound

This paper cites Risk Analysis , volume =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Risk Analysis , volume =

Reference 90

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verified exact
doi, observed 2026-08-14T10:42:09.367612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T10:42:08.440619Z digest=sha256:f38966bd8efbfff66333ee8701e9e7b32a26d4f3f8239090b3a83155cb3c037e

Observation fab84bfe-8e58-4088-bfa9-16e1c4dce23b · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 91

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no resolver link, observed 2026-08-14T10:42:08.446110Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T10:42:08.446110Z digest=sha256:3014d97d266137e8fff2535902c2e709af005b172fb978fda7e0a7077896f517

Observation 40261f38-8b46-4a7f-bcbb-66f9b416b18b · outbound

This paper cites an unresolved cited work.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Unresolved cited work

Reference 92

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source=arxiv_source observed=2026-08-14T10:42:08.450005Z digest=sha256:be017a815d45f5fa50c2cfd5057bdffee607da2b58655487f43eca7b5b8b56ff

Observation 110b86fb-ce06-4cda-bb7b-41bfbf26016b · outbound

This paper cites 2023 , opturl =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure 2023 , opturl =

Reference 93

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source=arxiv_source observed=2026-08-14T10:42:08.453688Z digest=sha256:89bcc37920f3610a4d72ed43dc603ad3f218055940fe87de2f30762ab4d4b671

Observation 95e439bd-a8b3-4851-b3b6-7d137d348d10 · outbound

This paper cites Testing Conditional Independence Between Latent Variables by Independence Residuals , year=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Testing Conditional Independence Between Latent Variables by Independence Residuals , year=

Reference 94

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no resolver link, observed 2026-08-14T10:42:08.457569Z

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source=arxiv_source observed=2026-08-14T10:42:08.457569Z digest=sha256:54e05ae724b085c22c50c8ec12bc23ecefae5226400a30f27d84b3e72ef662e7

Observation d06b180f-5917-4906-908e-71621700470e · outbound

This paper cites A Logical Characterization of Constraint-Based Causal Discovery , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure A Logical Characterization of Constraint-Based Causal Discovery , booktitle =

Reference 95

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no resolver link, observed 2026-08-14T10:42:08.461405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.461405Z digest=sha256:01bc8b28bab638c630217bf23ce1266003fcd9885627a525dc871efa66d78d1e

Observation c5aa70f3-6369-4336-8d84-8e119622e746 · outbound

This paper cites Berger , title =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Berger , title =

Reference 96

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no resolver link, observed 2026-08-14T10:42:08.465533Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.465533Z digest=sha256:dd04067b5407e27e0a30db8d9ab12e95232121f7544a5ab6e1e84b154f8d7183

Observation 4db31a90-37a8-4577-bc18-f26a122cb50a · outbound

This paper cites The American Statistician , volume=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure The American Statistician , volume=

Reference 97

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no resolver link, observed 2026-08-14T10:42:08.469514Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.469514Z digest=sha256:79a9ad9d0e95e99d30509db1a30f9aba10c0489168beffbe3a63313797bbc7f1

Observation e1ab0bc8-9b75-4e3e-8f61-18ff3840e3f0 · outbound

This paper cites Humanities and Social Sciences Communications , volume=.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Humanities and Social Sciences Communications , volume=

Reference 98

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no resolver link, observed 2026-08-14T10:42:08.473109Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.473109Z digest=sha256:817c0d76a1465e2ab9aae4c0e462b90d2a79669aaa35e7ab01bbdc8b99d9341a

Observation a3dd4a1f-4f21-4e9a-a22b-62b722af850b · outbound

This paper cites Assumption-Based Argumentation for Epistemic and Practical Reasoning , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Assumption-Based Argumentation for Epistemic and Practical Reasoning , booktitle =

Reference 99

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no resolver link, observed 2026-08-14T10:42:08.477199Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.477199Z digest=sha256:01fb13c7b5b3cea4a2e5400ef4dea284311573c10dbf7e448b4ac3969b3cb2cc

Observation 89c8c057-517d-4bcf-b421-54075e892c13 · outbound

This paper cites Assumption-Based Argumentation for Closed and Consistent Defeasible Reasoning , booktitle =.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure Assumption-Based Argumentation for Closed and Consistent Defeasible Reasoning , booktitle =

Reference 100

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no resolver link, observed 2026-08-14T10:42:08.480927Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:08.480927Z digest=sha256:5180f681225ac4c0b787e107cee1cdc908b1306731f04b6406b8efd9d79bb182

Pith citing papers

No inbound Pith citation observations are available.