Paper Citation Record · LEDGER

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2507.01704.

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

pith.paper-citation-record.v1
2507.01704 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.621084Z

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation b6b0887c-1bbc-4339-bdb3-1908036103a1 · outbound

This paper cites DEEP EQUILIBRIUM NETS.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules DEEP EQUILIBRIUM NETS

Reference 1

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Observation fd1dc3bd-17b1-46c7-b827-ac7184fff028 · outbound

This paper cites Pricing uncertainty induced by climate change.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Pricing uncertainty induced by climate change

Reference 2

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Unresolved cited work

Reference 3

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This paper cites Simulating russia's and other large economies' challenging and interconnected transitions.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Simulating russia's and other large economies' challenging and interconnected transitions

Reference 4

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This paper cites Taxes, debts, and redistributions with aggregate shocks.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Taxes, debts, and redistributions with aggregate shocks

Reference 5

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This paper cites Computing Equilibria in Dynamic Stochastic Macro-Models with Heterogeneous Agents, volume 2 of Econometric Society Monographs, pages 185--230.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Computing Equilibria in Dynamic Stochastic Macro-Models with Heterogeneous Agents, volume 2 of Econometric Society Monographs, pages 185--230

Reference 6

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Unresolved cited work

Reference 7

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This paper cites The social cost of carbon with economic and climate risks.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules The social cost of carbon with economic and climate risks

Reference 8

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This paper cites Deep Surrogates for Finance : With an Application to Option Pricing.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Deep Surrogates for Finance : With an Application to Option Pricing

Reference 9

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This paper cites Chapter 1 - introduction to integrated assessment modeling of climate change.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Chapter 1 - introduction to integrated assessment modeling of climate change

Reference 10

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Unresolved cited work

Reference 11

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This paper cites Cumulative carbon emissions and economic policy: in search of general principles.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Cumulative carbon emissions and economic policy: in search of general principles

Reference 12

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This paper cites Are economists getting climate dynamics right and does it matter? Journal of the Association of Environmental and Resource Economists, 8 0 (5): 0 895--921, 2021.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Are economists getting climate dynamics right and does it matter? Journal of the Association of Environmental and Resource Economists, 8 0 (5): 0 895--921, 2021

Reference 13

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This paper cites Optimal fiscal policy in a climate-economy model with heterogeneous households.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Optimal fiscal policy in a climate-economy model with heterogeneous households

Reference 14

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This paper cites Optimal fiscal policy in a model with uninsurable idiosyncratic income risk.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Optimal fiscal policy in a model with uninsurable idiosyncratic income risk

Reference 15

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This paper cites Building Interpretable Climate Emulators for Economics.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Building Interpretable Climate Emulators for Economics

Reference 16

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Neural architecture search: A survey

Reference 17

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This paper cites Optimal taxation with incomplete markets--an exploration via reinforcement learning.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Optimal taxation with incomplete markets--an exploration via reinforcement learning

Reference 18

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Taming the curse of dimensionality: quantitative economics with deep learning

Reference 19

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Gillingham, and Simon Scheidegger

Reference 20

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules The Climate in Climate Economics

Reference 21

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Deep uncertainty quantification: With an application to integrated assessment models

Reference 22

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Optimal taxes on fossil fuel in general equilibrium

Reference 23

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Social security and risk sharing

Reference 24

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Uncertainty quantification and global sensitivity analysis for economic models

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Heijdra, Jan Peter Kooiman, and Jenny E

Reference 26

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Optimal Development Policies With Financial Frictions

Reference 27

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules The political economy of environmental policy with overlapping generations

Reference 28

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This paper cites Selfish incentives for climate policy: Empower the young! Journal of the Association of Environmental and Resource Economists, 11 0 (5): 0 1165--1200, 2024.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Selfish incentives for climate policy: Empower the young! Journal of the Association of Environmental and Resource Economists, 11 0 (5): 0 1165--1200, 2024

Reference 29

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Estimating nonlinear heterogeneous agents models with neural networks

Reference 30

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Adam: A Method for Stochastic Optimization

Reference 31

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Making carbon taxation a generational win win

Reference 32

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Observation a53b305c-8443-4ff4-9af1-bfff4e3df8dc · outbound

This paper cites Pareto-Improving Carbon-Risk Taxation.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Pareto-Improving Carbon-Risk Taxation

Reference 33

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This paper cites Can today's and tomorrow's world uniformly gain from carbon taxation? European Economic Review, 168: 0 104819, September 2024.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Can today's and tomorrow's world uniformly gain from carbon taxation? European Economic Review, 168: 0 104819, September 2024

Reference 34

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This paper cites Pareto-improving social security reform when financial markets are incomplete!? American Economic Review, 96 0 (3): 0 737--755, 2006.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Pareto-improving social security reform when financial markets are incomplete!? American Economic Review, 96 0 (3): 0 737--755, 2006

Reference 35

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Tipping elements in the earth's climate system

Reference 36

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules The proportionality of global warming to cumulative carbon emissions

Reference 37

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Unresolved cited work

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Nordhaus

Reference 39

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Optimal Monetary Policy with Heterogeneous Agents , 2020

Reference 40

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Monetary policy with persistent supply shocks

Reference 41

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Unresolved cited work

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Machine learning for dynamic incentive problems

Reference 43

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Scheidegger, D

Reference 44

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Machine learning for high-dimensional dynamic stochastic economies

Reference 45

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Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Unresolved cited work

Reference 46

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This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:52:00.725293Z

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Observation 2497ce65-3e8e-43be-bbfb-ea973f3e099e · outbound

This paper cites Ghg targets as insurance against catastrophic climate damages.

Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules Ghg targets as insurance against catastrophic climate damages

Reference 48

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Pith citing papers

Observation 86a3b037-b72c-41b1-812a-efa41d20a8ea · inbound

Equilibrium World Models cites this paper.

Equilibrium World Models Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules

Reference 33

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Bayesian Optimization on the Equilibrium Manifold cites this paper.

Bayesian Optimization on the Equilibrium Manifold Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules

Reference 17

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