Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement | Paper Citation Record

Observation d237b6d7-cb0a-403f-83f5-af2ffc67ee4d · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.967802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba09028-70f1-46ed-9b4d-7180c385b2bb · outbound

This paper cites GPT-4 Technical Report.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.971542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc50ede7-2b82-4ef7-95a8-9da9819c953d · outbound

This paper cites Interventional causal representation learning.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Interventional causal representation learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.975083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33624871-afa5-4a19-8ecf-49759c3a92c3 · outbound

This paper cites Physics of Language Models: Part 1, Learning Hierarchical Language Structures.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.979008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5151b62b-802f-499d-893b-9859f89afc5a · outbound

This paper cites A latent variable model approach to PMI -based word embeddings.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement A latent variable model approach to PMI -based word embeddings

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.982393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca71de8e-8931-426c-bdee-dca8d9c29bfb · outbound

This paper cites GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow , March 2021.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow , March 2021

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.985435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d933759-5271-4a22-8098-4f33aa5cd61f · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.989293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b9d872-7d4c-4fa0-8125-66c04b322445 · outbound

This paper cites Learning linear causal representations from interventions under general nonlinear mixing.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Learning linear causal representations from interventions under general nonlinear mixing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.992766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bbbcdf8-f172-4dc9-8dd9-350d19f3b1e4 · outbound

This paper cites Invariance, causality and robustness.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Invariance, causality and robustness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.995730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c371356b-740b-4ded-baf9-be2a53cd9e84 · outbound

This paper cites Causal inference of general treatment effects using neural networks with a diverging number of confounders.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal inference of general treatment effects using neural networks with a diverging number of confounders

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:05.998967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4cb13a-71f8-4401-861b-1b457b84165e · outbound

This paper cites Independent component analysis, a new concept? Signal Processing, 36 0 (3): 0 287--314, 1994.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Independent component analysis, a new concept? Signal Processing, 36 0 (3): 0 287--314, 1994

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.002371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1967e33-87b1-4e63-9526-19f87148a882 · outbound

This paper cites Analyse g \'e n \'e rale des liaisons stochastiques: etude particuli \`e re de l'analyse factorielle lin \'e aire.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Analyse g \'e n \'e rale des liaisons stochastiques: etude particuli \`e re de l'analyse factorielle lin \'e aire

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.006173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6540e20-9497-41a1-982e-0ef448e4e044 · outbound

This paper cites Identifying the consequences of dynamic treatment strategies: A decision theoretic overview.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Identifying the consequences of dynamic treatment strategies: A decision theoretic overview

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.009556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b5f90d-5971-4ec3-a040-e08be84ddc78 · outbound

This paper cites On random graphs.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement On random graphs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.012873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b60dd83-c319-4a65-bb71-a9c59719ae0e · outbound

This paper cites Causal disentanglement for single-cell representations and controllable counterfactual generation.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal disentanglement for single-cell representations and controllable counterfactual generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.016328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 035c92f0-e1e4-4fc4-a860-965ffd7b2970 · outbound

This paper cites Measuring statistical dependence with hilbert-schmidt norms.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Measuring statistical dependence with hilbert-schmidt norms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.019785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897d0d3d-2bab-4bdf-9c97-69d320b422e8 · outbound

This paper cites Independent component analysis: Algorithms and applications.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Independent component analysis: Algorithms and applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.022932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d29d32-c349-4927-b84d-5a807a193cfb · outbound

This paper cites Learning causal representations from general environments: Identifiability and intrinsic ambiguity.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Learning causal representations from general environments: Identifiability and intrinsic ambiguity

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.026206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea65090f-e8fc-4c36-b735-07b47362ef54 · outbound

This paper cites What is causal about causal models and representations?.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement What is causal about causal models and representations?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.029184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed244df1-27b3-46f3-9058-653445eb3658 · outbound

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.033343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1fd01ba-1319-4c2b-8d9f-f579f05fa5d5 · outbound

This paper cites Optimality of the J ohnson- L indenstrauss lemma.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Optimality of the J ohnson- L indenstrauss lemma

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.036643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87155193-dedd-415a-9f38-af9e65d38e06 · outbound

This paper cites Factor analysis as a statistical method.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Factor analysis as a statistical method

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.040221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92a8f1a-da94-44be-ac96-00fbf2fd53e6 · outbound

This paper cites Causal estimation of memorisation profiles.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal estimation of memorisation profiles

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.043390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305d73f4-0a5d-4ce1-be6c-5ae1d70f78b4 · outbound

This paper cites DeepSeek-V3 Technical Report.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement DeepSeek-V3 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.046867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed4928f-4360-44e1-bcf8-05e592929f33 · outbound

This paper cites The Llama 3 family of models.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement The Llama 3 family of models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.050290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da37483-bcc9-4746-8bf6-62d7e0a1d009 · outbound

This paper cites Fourth moments and independent component analysis.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Fourth moments and independent component analysis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.053346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4d0875-fb86-4533-906b-9be389370489 · outbound

This paper cites Linguistic regularities in continuous space word representations.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Linguistic regularities in continuous space word representations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.056706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e15c5264-3451-4094-80ce-25295576313c · outbound

This paper cites Determining the number of factors from empirical distribution of eigenvalues.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Determining the number of factors from empirical distribution of eigenvalues

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.060151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50067741-3a91-4eb5-ae9d-af68632c60ea · outbound

This paper cites The linear representation hypothesis and the geometry of large language models.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement The linear representation hypothesis and the geometry of large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.063143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a87c866-3c42-4bff-b8f8-00cf501a623a · outbound

This paper cites Automatic differentiation in PyTorch.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Automatic differentiation in PyTorch

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.066089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28b0a56-5fec-44e1-84a0-51715b4940b8 · outbound

This paper cites Elements of causal inference: foundations and learning algorithms.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Elements of causal inference: foundations and learning algorithms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.068930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b80538e-0907-498a-a770-99e0fc306cbc · outbound

This paper cites From causal to concept-based representation learning.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement From causal to concept-based representation learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.071806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f51811-81cd-4c6a-b5b7-1ceaf70fd6ec · outbound

This paper cites Consistency and asymptotic normality of FastICA and bootstrap FastICA.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Consistency and asymptotic normality of FastICA and bootstrap FastICA

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.074783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b3ca4b9-ff29-42f4-ab2c-c6f31e6e6bc2 · outbound

This paper cites a us Kleindessner, Chris Russell, Dominik Janzing, Bernhard Sch \.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement a us Kleindessner, Chris Russell, Dominik Janzing, Bernhard Sch \

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.077596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a5245f-bbc2-479b-957f-95ee02d21e54 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.080466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91334cdd-08c6-4afa-adaa-75e7182a7a44 · outbound

This paper cites Toward causal representation learning.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Toward causal representation learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.083877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3aee7a0-4bad-4705-b3f7-f0eabbbcf400 · outbound

This paper cites On a property of the normal distribution.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement On a property of the normal distribution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.086852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4014a7ad-6a0c-43d0-a1b1-9cfef787c39e · outbound

This paper cites Causal temporal representation learning with nonstationary sparse transition.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal temporal representation learning with nonstationary sparse transition

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.089890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa24e5b-c2b3-480c-b117-5ac80d9a1d5f · outbound

This paper cites Linear causal disentanglement via interventions.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Linear causal disentanglement via interventions

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.092862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43993c5-dcdb-46fd-8680-77fed4e2bda3 · outbound

This paper cites Causal representation learning from multimodal biomedical observations.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal representation learning from multimodal biomedical observations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.095848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86e53e9-13a9-4a1a-902f-c523f5e33e2f · outbound

This paper cites Score-based causal representation learning from interventions: Nonparametric identifiability.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Score-based causal representation learning from interventions: Nonparametric identifiability

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.098908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e28b86-e45d-42c4-ad41-ce6fd92aba00 · outbound

This paper cites General identifiability and achievability for causal representation learning.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement General identifiability and achievability for causal representation learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.101862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d484b82a-2fb6-417b-a08d-3a110d4680cf · outbound

This paper cites Linear Causal Representation Learning from Unknown Multi-node Interventions.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Linear Causal Representation Learning from Unknown Multi-node Interventions

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.104962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01dbb8e7-a9af-4ed5-be30-822cf3676ff7 · outbound

This paper cites Score-based Causal Representation Learning: Linear and General Transformations.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Score-based Causal Representation Learning: Linear and General Transformations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.108333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee664493-0939-46f8-9ea9-731b573140ba · outbound

This paper cites Dimension reduction via adaptive slicing.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Dimension reduction via adaptive slicing

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.111302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d2189f-0134-4a71-92e0-8a40e42c335f · outbound

This paper cites Identifiability guarantees for causal disentanglement from purely observational data.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Identifiability guarantees for causal disentanglement from purely observational data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.114541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b899b64-4914-4198-9e39-7d44f859447f · outbound

This paper cites Sketching as a tool for numerical linear algebra.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Sketching as a tool for numerical linear algebra

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.117954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 450b2471-2f01-47b6-934b-e04e7fe1cda6 · outbound

This paper cites Stability.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Stability

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.120895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e34efd3c-2249-46b4-ab3e-ae53eafa64d1 · outbound

This paper cites Identifiability guarantees for causal disentanglement from soft interventions.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Identifiability guarantees for causal disentanglement from soft interventions

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.123738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f10c4f61-0f3c-46a5-a379-405167a8c121 · outbound

This paper cites Causal representation learning from multiple distributions: A general setting.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal representation learning from multiple distributions: A general setting

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.126698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65f9a36-e326-4b25-b871-f323ea112445 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement TinyLlama: An Open-Source Small Language Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.129509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc714cd4-72e9-4822-a875-6a2845610105 · outbound

This paper cites write newline.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement write newline

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.132639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers