Paper Citation Record · LEDGER

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models

As of 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2505.20536.

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

pith.paper-citation-record.v1
2505.20536 v1

Coverage vector

measured 52 of 52 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: arxiv_reference, observed 2026-05-22T00:50:51.140186Z

Reference resolution

52 of 52 outbound references displayed

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Outbound references

Observation 9d564165-7d39-43fc-8250-519b67a635f6 · outbound

This paper cites Using synthetic controls: Feasibility, data requirements, and methodological aspects.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Using synthetic controls: Feasibility, data requirements, and methodological aspects

Reference 1

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This paper cites The economic costs of conflict: A case study of the basque country.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models The economic costs of conflict: A case study of the basque country

Reference 2

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This paper cites Synthetic control methods for comparative case studies: Estimating the effect of C alifornia's tobacco control program.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Synthetic control methods for comparative case studies: Estimating the effect of C alifornia's tobacco control program

Reference 3

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This paper cites Comparative politics and the synthetic control method.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Comparative politics and the synthetic control method

Reference 4

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This paper cites Synthetic Interventions.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Synthetic Interventions

Reference 5

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This paper cites Causal matrix completion.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Causal matrix completion

Reference 6

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Observation 53d49c65-a67d-474e-b33b-b77a0aa16469 · outbound

This paper cites Causal models for longitudinal and panel data: A survey.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Causal models for longitudinal and panel data: A survey

Reference 7

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Observation 378d84e2-1379-4407-b4cb-95aa3f562bb4 · outbound

This paper cites Identification of Average Treatment Effects in Nonparametric Panel Models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Identification of Average Treatment Effects in Nonparametric Panel Models

Reference 8

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This paper cites Design-based analysis in difference-in-differences settings with staggered adoption.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Design-based analysis in difference-in-differences settings with staggered adoption

Reference 9

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Observation 93a55b5c-6cdc-4c40-8266-44b3b88d5f50 · outbound

This paper cites Matrix completion methods for causal panel data models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Matrix completion methods for causal panel data models

Reference 10

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This paper cites Inferential theory for factor models of large dimensions.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Inferential theory for factor models of large dimensions

Reference 11

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This paper cites Panel data models with interactive fixed effects.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Panel data models with interactive fixed effects

Reference 12

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This paper cites Matrix completion, counterfactuals, and factor analysis of missing data.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Matrix completion, counterfactuals, and factor analysis of missing data

Reference 13

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This paper cites Estimation and inference for cp tensor factor models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Estimation and inference for cp tensor factor models

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This paper cites Diffusion index forecast with tensor data.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Diffusion index forecast with tensor data

Reference 15

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Observation 7d7cd7a6-dde0-4c10-8825-76fbd9d3d495 · outbound

This paper cites Matrix completion when missing is not at random and its applications in causal panel data models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Matrix completion when missing is not at random and its applications in causal panel data models

Reference 16

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Observation 9c31e485-8585-4d7d-810f-9d2a8fe61872 · outbound

This paper cites On synthetic difference-in-differences and related estimation methods in stata.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models On synthetic difference-in-differences and related estimation methods in stata

Reference 17

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This paper cites Balancing, regression, difference-in-differences and synthetic control methods: A synthesis.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Balancing, regression, difference-in-differences and synthetic control methods: A synthesis

Reference 18

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Observation d732f8c9-2561-4b9b-bb0f-0e0d2f550ad8 · outbound

This paper cites Matrix completion by deep matrix factorization.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Matrix completion by deep matrix factorization

Reference 19

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This paper cites Neuron-enhanced autoencoder matrix completion and collaborative filtering: Theory and practice.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Neuron-enhanced autoencoder matrix completion and collaborative filtering: Theory and practice

Reference 20

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This paper cites A global panel database of pandemic policies (oxford covid-19 government response tracker).

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models A global panel database of pandemic policies (oxford covid-19 government response tracker)

Reference 21

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Observation 1eea2255-9d4c-4f20-94bc-52cedf91504a · outbound

This paper cites Tensor principal component analysis in high dimensional cp models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Tensor principal component analysis in high dimensional cp models

Reference 22

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Tensor factor model estimation by iterative projection

Reference 23

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This paper cites Cp factor model for dynamic tensors.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Cp factor model for dynamic tensors

Reference 24

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This paper cites Estimating causal effects from panel data with dynamic multivariate panel models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Estimating causal effects from panel data with dynamic multivariate panel models

Reference 25

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Observation ee163a2f-23e3-4fcb-8a01-810021b807fd · outbound

This paper cites Impact of vaccination on infection or death from covid-19 in individuals with laboratory-confirmed cases: Case-control study.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Impact of vaccination on infection or death from covid-19 in individuals with laboratory-confirmed cases: Case-control study

Reference 26

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This paper cites On the use of two-way fixed effects regression models for causal inference with panel data.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models On the use of two-way fixed effects regression models for causal inference with panel data

Reference 27

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Causal inference in the social sciences

Reference 28

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Causal inference in statistics, social, and biomedical sciences

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Inverse moment methods for sufficient forecasting using high-dimensional predictors

Reference 30

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Observation 80a7b9b4-eded-4812-b593-0f41d6e5afbe · outbound

This paper cites Estimated number of lives directly saved by covid-19 vaccination programmes in the who european region from december, 2020, to march, 2023: a retrospective surveillance study.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Estimated number of lives directly saved by covid-19 vaccination programmes in the who european region from december, 2020, to march, 2023: a retrospective surveillance study

Reference 31

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This paper cites Fixed effects and causal inference.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Fixed effects and causal inference

Reference 32

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This paper cites Generalized causal tree for uplift modeling.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Generalized causal tree for uplift modeling

Reference 33

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This paper cites Simple, fast, and flexible framework for matrix completion with infinite width neural networks.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Simple, fast, and flexible framework for matrix completion with infinite width neural networks

Reference 34

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This paper cites The central role of the propensity score in observational studies for causal effects.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models The central role of the propensity score in observational studies for causal effects

Reference 35

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This paper cites Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence

Reference 36

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Causal imputation via synthetic interventions

Reference 37

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This paper cites Estimating dynamic treatment effects in event studies with heterogeneous treatment effects.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Estimating dynamic treatment effects in event studies with heterogeneous treatment effects

Reference 38

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This paper cites Introduction \`a l'estimation non param \'e trique , volume 41.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Introduction \`a l'estimation non param \'e trique , volume 41

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:18.544364Z

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Estimation and inference of heterogeneous treatment effects using random forests

Reference 40

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This paper cites Designing difference-in-difference studies with staggered treatment adoption: Key concepts and practical guidelines.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Designing difference-in-difference studies with staggered treatment adoption: Key concepts and practical guidelines

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:18.246902Z

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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Unresolved cited work

Reference 42

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Observation 7035a2e5-fc5c-47fd-ad2d-5231fe559d7f · outbound

This paper cites Large dimensional latent factor modeling with missing observations and applications to causal inference.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Large dimensional latent factor modeling with missing observations and applications to causal inference

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.866576Z

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Observation 76f64b2f-7a5f-4959-98f2-34af8a87770f · outbound

This paper cites Deep autoencoders for nonlinear factor models: Theory and applications.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Deep autoencoders for nonlinear factor models: Theory and applications

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.709677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6dd926f-863a-40ee-8e43-e5b517714e7a · outbound

This paper cites A systematic review and meta-analysis of the effectiveness and safety of covid-19 vaccination in older adults.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models A systematic review and meta-analysis of the effectiveness and safety of covid-19 vaccination in older adults

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.576611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5a87dbc-0245-4541-a2d3-8e2eeda506ca · outbound

This paper cites Generalized synthetic control method: Causal inference with interactive fixed effects models.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Generalized synthetic control method: Causal inference with interactive fixed effects models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.447958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3af0ac80-8799-4f9f-8b2a-558ac0c3b9ff · outbound

This paper cites Nonlinear factor analysis as a statistical method.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Nonlinear factor analysis as a statistical method

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.331466Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ea786bc-4c23-4197-82d3-368a67dadb41 · outbound

This paper cites Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach

Reference 48

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This paper cites Dynamic Matrix Factor Models for High Dimensional Time Series.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Dynamic Matrix Factor Models for High Dimensional Time Series

Reference 49

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Source-reported events for the cited work

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Observation 754b67fd-cc4a-4bcc-86a5-8c34104266b1 · outbound

This paper cites Nonparametric estimation and conformal inference of the sufficient forecasting with a diverging number of factors.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Nonparametric estimation and conformal inference of the sufficient forecasting with a diverging number of factors

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.193432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d933a10-881c-4b20-8a16-493ba7fb75fc · outbound

This paper cites Power enhancement for testing multi-factor asset pricing models via fisher’s method.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Power enhancement for testing multi-factor asset pricing models via fisher’s method

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:17.055566Z

Source-reported events for the cited work

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Observation 5b010ddc-cc3f-435c-b568-d3d059b30b3d · outbound

This paper cites Factor augmented tensor-on-tensor neural networks.

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models Factor augmented tensor-on-tensor neural networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:16.937631Z

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Pith citing papers

Observation 7b767d9c-d1d4-4cb2-9655-2e4f5f47818a · inbound

Factor Augmented High-Dimensional SGD cites this paper.

Factor Augmented High-Dimensional SGD Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T03:33:01.649591Z

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Observation 10913258-af63-452c-8eac-8d431ae2ebdb · inbound

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series cites this paper.

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:50:51.143475Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.