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Paper Citation Record · LEDGER

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers

As of 16 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 2 inbound Pith citation observations for arXiv:2505.12556.

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

pith.paper-citation-record.v1
2505.12556 v1

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measured 74 of 74 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

74 of 74 outbound references displayed

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Outbound references

Observation cc1e1fc1-ed83-4148-ad1d-cc2ccd401157 · outbound

This paper cites Making partial differential equations accessible to ecologists.Nature Reviews Biodiversity, 1(2):87–87, 2025.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Making partial differential equations accessible to ecologists.Nature Reviews Biodiversity, 1(2):87–87, 2025

Reference 1

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This paper cites an unresolved cited work.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Unresolved cited work

Reference 2

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This paper cites Neural differential equation-based two-stage approach for generalization of beam dynamics.IEEE Transactions on Industrial Informatics, 2024.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Neural differential equation-based two-stage approach for generalization of beam dynamics.IEEE Transactions on Industrial Informatics, 2024

Reference 3

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Observation d6f67959-f798-4832-9901-3c338e3e82d0 · outbound

This paper cites Springer Science & Business Media, 2008.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Springer Science & Business Media, 2008

Reference 4

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This paper cites Cambridge university press, 2002.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Cambridge university press, 2002

Reference 5

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This paper cites Partial differential equations meet deep neural networks: A survey.IEEE Transactions on Neural Networks and Learning Systems, 2025.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Partial differential equations meet deep neural networks: A survey.IEEE Transactions on Neural Networks and Learning Systems, 2025

Reference 6

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This paper cites Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations.Nature Machine Intelligence, 6(10):1256–1269, 2024.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations.Nature Machine Intelligence, 6(10):1256–1269, 2024

Reference 7

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This paper cites Physics-informed machine learning.Nature Reviews Physics, 3(6):422–440, 2021.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Physics-informed machine learning.Nature Reviews Physics, 3(6):422–440, 2021

Reference 8

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This paper cites Neural operators for accelerating scientific simulations and design.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Neural operators for accelerating scientific simulations and design

Reference 9

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This paper cites An operator preconditioning perspective on training in physics-informed machine learning.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers An operator preconditioning perspective on training in physics-informed machine learning

Reference 10

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Observation df79ed12-f493-4040-acdf-63188b85570e · outbound

This paper cites Achieving high accuracy with PINNs via energy natural gradient descent.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Achieving high accuracy with PINNs via energy natural gradient descent

Reference 11

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Observation 530c1789-395f-4f0f-b6e1-7d328e50f47d · outbound

This paper cites Fast training of accurate physics-informed neural networks without gradient descent.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Fast training of accurate physics-informed neural networks without gradient descent

Reference 12

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This paper cites Reliance on metrics is a fundamental challenge for AI.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Reliance on metrics is a fundamental challenge for AI

Reference 13

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This paper cites Problems of monetary management: the uk experience in papers in monetary economics.Monetary Economics, 1, 1975.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Problems of monetary management: the uk experience in papers in monetary economics.Monetary Economics, 1, 1975

Reference 14

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This paper cites an unresolved cited work.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Unresolved cited work

Reference 15

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This paper cites Pinnsformer: A transformer-based framework for physics-informed neural networks.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Pinnsformer: A transformer-based framework for physics-informed neural networks

Reference 16

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This paper cites Separable physics-informed neural networks.Advances in Neural Information Processing Systems, 36:23761–23788, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Separable physics-informed neural networks.Advances in Neural Information Processing Systems, 36:23761–23788, 2023

Reference 17

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This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Learning nonlinear operators via deeponet based on the universal approximation theorem of operators

Reference 18

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This paper cites Fourier neural operator for parametric partial differential equations.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Fourier neural operator for parametric partial differential equations

Reference 19

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This paper cites Convolutional neural operators for robust and accurate learning of PDEs.Advances in Neural Information Processing Systems, 36: 77187–77200, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Convolutional neural operators for robust and accurate learning of PDEs.Advances in Neural Information Processing Systems, 36: 77187–77200, 2023

Reference 20

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This paper cites PdeBench: An extensive benchmark for scientific machine learning.Advances in Neural Information Processing Systems, 35:1596–1611, 2022.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers PdeBench: An extensive benchmark for scientific machine learning.Advances in Neural Information Processing Systems, 35:1596–1611, 2022

Reference 21

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This paper cites The well: a large-scale collection of diverse physics simulations for machine learning.Advances in Neural Information Processing Systems, 37:44989–45037, 2024.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers The well: a large-scale collection of diverse physics simulations for machine learning.Advances in Neural Information Processing Systems, 37:44989–45037, 2024

Reference 22

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This paper cites Automating embodied and operational carbon assessment in urban sustainable development.Automation in Construction, 176:106245, 2025.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Automating embodied and operational carbon assessment in urban sustainable development.Automation in Construction, 176:106245, 2025

Reference 23

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This paper cites Estimates on the generalization error of physics- informed neural networks for approximating PDEs.IMA Journal of Numerical Analysis, 43(1): 1–43, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Estimates on the generalization error of physics- informed neural networks for approximating PDEs.IMA Journal of Numerical Analysis, 43(1): 1–43, 2023

Reference 24

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This paper cites Poseidon: Efficient foundation models for PDEs.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Poseidon: Efficient foundation models for PDEs

Reference 25

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This paper cites Gaussian processes for machine learning.International journal of neural systems, 14(02):69–106, 2004.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Gaussian processes for machine learning.International journal of neural systems, 14(02):69–106, 2004

Reference 26

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Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Neural Processes

Reference 27

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This paper cites Deep learning.nature, 521(7553):436–444, 2015.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Deep learning.nature, 521(7553):436–444, 2015

Reference 28

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This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937, 2016.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937, 2016

Reference 29

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This paper cites Tackling the curse of dimensionality with physics-informed neural networks.Neural Networks, 176:106369, 2024.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Tackling the curse of dimensionality with physics-informed neural networks.Neural Networks, 176:106369, 2024

Reference 30

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This paper cites Physics informed neural networks for simulating radiative transfer.Journal of Quantitative Spectroscopy and Radiative Transfer, 270:107705, 2021.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Physics informed neural networks for simulating radiative transfer.Journal of Quantitative Spectroscopy and Radiative Transfer, 270:107705, 2021

Reference 31

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This paper cites On the morality of artificial intelligence [commentary].

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers On the morality of artificial intelligence [commentary]

Reference 32

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This paper cites Measuring the carbon intensity of AI in cloud instances.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Measuring the carbon intensity of AI in cloud instances

Reference 33

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Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Quantifying the Carbon Emissions of Machine Learning

Reference 34

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Unavailable: canonical work link unavailable.

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Observation 4b7ff188-e72a-4712-8697-d3a0c1e4eace · outbound

This paper cites Green AI.Communications of the ACM, 63(12):54–63, 2020.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Green AI.Communications of the ACM, 63(12):54–63, 2020

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raw_fallback, observed 2026-08-15T20:39:27.434196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.736920Z digest=sha256:5e0ec5ac6c265de1f7bb04aeabc11f4c95b0a4fb79be70e829a9f6a2a8d338b5

Observation 08e1ba75-9ec9-4e02-8517-f0cbbffb8e28 · outbound

This paper cites Energy and carbon considerations of fine-tuning BERT.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Energy and carbon considerations of fine-tuning BERT

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.420322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.740821Z digest=sha256:328561d13d598f8422a8f2449c01c2c2f266c1679c8c7239feda0d7601a347ab

Observation 0c201acb-fac4-43e4-89c8-6ecd5d6df2a1 · outbound

This paper cites Bloom: A 176B-parameter open-access multilingual language model, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Bloom: A 176B-parameter open-access multilingual language model, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.406766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.744693Z digest=sha256:0091993c34b838ec49cf72d6878012672527ecef894056c98ea57c050c9bd700

Observation 776fe110-fa34-48b5-a71f-6b53f5790621 · outbound

This paper cites Estimating the carbon footprint of BLOOM, a 176B parameter language model.Journal of Machine Learning Research, 24(253):1–15, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Estimating the carbon footprint of BLOOM, a 176B parameter language model.Journal of Machine Learning Research, 24(253):1–15, 2023

Reference 38

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unresolved
no resolver link, observed 2026-08-15T20:39:26.748483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.748483Z digest=sha256:38d3f49d7c39a354a97c81fa3eb9089f285b956cb078f6eec9e5f56de4a0d3ed

Observation 8b804581-7bc9-4513-b323-1d1ab8b1ddda · outbound

This paper cites GPT-4 Technical Report.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers GPT-4 Technical Report

Reference 39

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no resolver link, observed 2026-08-15T20:39:26.752579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.752579Z digest=sha256:5b2b1676c977296ea7645d606fdf45a09946da9ffbaaf437d5bc290dda36aac6

Observation e3baa9a8-c87e-42b8-b605-c360ddc277a4 · outbound

This paper cites https://news.mit.edu/ 2025/explained-generative-ai-environmental-impact-0117, 2025.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers https://news.mit.edu/ 2025/explained-generative-ai-environmental-impact-0117, 2025

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.385080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.756818Z digest=sha256:9c2fba20f66991f8045f239794a87d83fe2c3c85ca8c440b9507e02aca50828a

Observation 589b2d7f-725c-420a-ad63-230cddc5a273 · outbound

This paper cites The carbon impact of artificial intelligence.Nature Machine Intelligence, 2 (8):423–425, Aug 2020.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers The carbon impact of artificial intelligence.Nature Machine Intelligence, 2 (8):423–425, Aug 2020

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no resolver link, observed 2026-08-15T20:39:26.760915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.760915Z digest=sha256:025aae20dbbd98d4b047f4e7289908149c7394f273a19c52f7148819ec63e617

Observation eaa4df26-c215-481b-a68e-2338dd987df5 · outbound

This paper cites A high-efficient hybrid physics-informed neural networks based on convolutional neural network.IEEE Transactions on Neural Networks and Learning Systems, 33(10):5514– 5526, 2021.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers A high-efficient hybrid physics-informed neural networks based on convolutional neural network.IEEE Transactions on Neural Networks and Learning Systems, 33(10):5514– 5526, 2021

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.372292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.765198Z digest=sha256:932a1454db91b67e03526b857111b612c8bc17f40c8de2e5a701d6ff128f5cc1

Observation cddf58ed-faf2-4e3d-b484-3d7be387af87 · outbound

This paper cites Gnot: A general neural operator transformer for operator learning.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Gnot: A general neural operator transformer for operator learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.769723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.769723Z digest=sha256:a70989e678bfefb6bdc97a72447540ade52cbb6ca25d4d7071920a12bb3d7b67

Observation 83b9e569-73b7-4728-8251-8a9a25d8048b · outbound

This paper cites In-context operator learning with data prompts for differential equation problems.Proceedings of the National Academy of Sciences, 120(39):e2310142120, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers In-context operator learning with data prompts for differential equation problems.Proceedings of the National Academy of Sciences, 120(39):e2310142120, 2023

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.773603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.773603Z digest=sha256:c2b81a66fe48f9ecf1559a98ddbc84774de3a69cb3fc73e145de608e1ef46388

Observation 0819bdce-85dc-4d0c-9324-be518ed67fce · outbound

This paper cites Alias-free Mamba neural operator.Advances in Neural Information Processing Systems, 37:52962–52995, 2024.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Alias-free Mamba neural operator.Advances in Neural Information Processing Systems, 37:52962–52995, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.344305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.777545Z digest=sha256:54afdb25fe78c304371358a2bce7a919b97bb67d162f57258154edf7eabf8a86

Observation 6bcf7e36-1f6a-4634-af14-6d33374c16fb · outbound

This paper cites Codecarbon: estimate and track carbon emissions from machine learning computing.Cited on, 20, 2021.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Codecarbon: estimate and track carbon emissions from machine learning computing.Cited on, 20, 2021

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.330061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.782004Z digest=sha256:540678aff9303535f15ce122b54edc0363c5876f6eb2e4f5158105ff4ab4bbe0

Observation c43beb56-ce64-4602-8e2f-86b6665676cf · outbound

This paper cites Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.786114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.786114Z digest=sha256:4b3ad02f5b950b36ba587a836ef929fa3e8294e5e6b78b4eef492f16ee1c9d84

Observation a5162f50-3c45-464e-897e-3b374334bd89 · outbound

This paper cites Towards the systematic reporting of the energy and carbon footprints of machine learning.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Towards the systematic reporting of the energy and carbon footprints of machine learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.317187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.790195Z digest=sha256:50dade572b698ab744eee21c6dfb45e36bc21a291709bbab2f509b3c46317517

Observation 1c0fb45c-d3a2-483d-9008-c83e1475be77 · outbound

This paper cites Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.304511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.794232Z digest=sha256:c806bf3e1b005eba08cf4db91ce9c40962ddea774cbfeac25a713807579c4949

Observation 64946d65-9710-49d4-8821-e163d2583d74 · outbound

This paper cites Green algorithms: quantifying the carbon footprint of computation.Advanced science, 8(12):2100707, 2021.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Green algorithms: quantifying the carbon footprint of computation.Advanced science, 8(12):2100707, 2021

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.291337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.798319Z digest=sha256:5d2b8c0a4cbf8eb22d0a032a83d161bc125a3cf1150b6a40b8aa0ab033669054

Observation fe0a3791-a7b7-4984-8095-457e5a852621 · outbound

This paper cites Neural-network-based approximations for solving partial differential equations.communications in Numerical Methods in Engineering, 10(3):195–201, 1994.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Neural-network-based approximations for solving partial differential equations.communications in Numerical Methods in Engineering, 10(3):195–201, 1994

Reference 51

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unresolved
no resolver link, observed 2026-08-15T20:39:26.802684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.802684Z digest=sha256:0fd679de6777c426a4d3c19489e72a96c0fa89b127919826ca6d0ed176c137c1

Observation b9446841-8144-47ef-855c-c073d1aefe82 · outbound

This paper cites Artificial neural networks for solving ordinary and partial differential equations.IEEE transactions on neural networks, 9(5): 987–1000, 1998.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Artificial neural networks for solving ordinary and partial differential equations.IEEE transactions on neural networks, 9(5): 987–1000, 1998

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.270284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.806771Z digest=sha256:d96a0eafe42b1f44b55d7299b28b54f2b4f5d6d1a085efd6649ab0d10cf9883b

Observation d77202e5-9aba-4a54-9139-45dc7443406d · outbound

This paper cites Learning the solution operator of parametric partial differential equations with physics-informed DeepONets.Science advances, 7(40): eabi8605, 2021.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Learning the solution operator of parametric partial differential equations with physics-informed DeepONets.Science advances, 7(40): eabi8605, 2021

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.256570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.811165Z digest=sha256:af71f3c458700ff3e2e56a8ff5e6df65d957fa07781da5c6e48dcd5cc5a29d7e

Observation 1691d063-3823-48b4-acda-eb00693897b8 · outbound

This paper cites Physics-informed deep neural operator networks.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Physics-informed deep neural operator networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.815719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.815719Z digest=sha256:6d304875c5cbeb330709dcda7c96ec22424fc317383e31834af4c6f317401e21

Observation c5e338d0-5f13-476c-85ee-52e03255d429 · outbound

This paper cites https://github.com/ taniyakapoor/PINNs_beam/tree/master, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers https://github.com/ taniyakapoor/PINNs_beam/tree/master, 2023

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.234148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.820185Z digest=sha256:fd1aee54d04f7a87236249e333c05d952a28f9458180e75e22268b37b7e1aa38

Observation 34835cf2-9541-49da-9783-cb62a605add4 · outbound

This paper cites https://github.com/AdityaLab/ pinnsformer, 2024.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers https://github.com/AdityaLab/ pinnsformer, 2024

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.221128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.824261Z digest=sha256:15c1d081402b9d5e44f463ee8cb8307dece31a08d2cb52cc36941c1555bf4450

Observation 3d9c7997-a908-4353-9402-51ce07f451a6 · outbound

This paper cites https://github.com/stnamjef/SPINN, 2023.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers https://github.com/stnamjef/SPINN, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.207284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.828419Z digest=sha256:4f7602fdce7bee6d8d1df3fdeeb2d1a7bf7af9936876b05d4fb416fcb5401140

Observation 41ac5d55-7634-4fd7-8320-b364449b4f46 · outbound

This paper cites https://github.com/raj-brown/ APMA2070, 2020.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers https://github.com/raj-brown/ APMA2070, 2020

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.193115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.832935Z digest=sha256:7c7dec0aace0cfe1346f7954120683c88ebbb5b1a9abe7e7a333f2c3a98ae4c1

Observation 51169ce7-5e0f-4e7d-bd03-46850971353f · outbound

This paper cites — github.com.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers — github.com

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.178261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.837481Z digest=sha256:992b51227866fefe55d5df571c9d19839f5bff62375d6e6bc5f771c24b5b5bd1

Observation e526a5e0-d44e-4496-a3d8-70919c3ab9dc · outbound

This paper cites an unresolved cited work.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:27.165421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.841337Z digest=sha256:c1bee6db43abbfbdfd25cf11536c9a3bf7d1c04beed96020000ca10cb8de82bc

Observation 124b2f99-eca1-484a-8afe-61e21c822286 · outbound

This paper cites Automatic differentiation in pytorch.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Automatic differentiation in pytorch

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.849943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.849943Z digest=sha256:4301846b660e6ce21420722925e10a746b3af885764642db5476bec8c1ca7c6c

Observation 4395f320-3a82-4052-94c0-73f2453e25e2 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers JAX: composable transformations of Python+NumPy programs, 2018

Reference 62

Resolution
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no resolver link, observed 2026-08-15T20:39:26.853767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.853767Z digest=sha256:346dd663b73a7b1eb526277c06009df5de7c4f81d1ac6e83fdcd86491c33818e

Observation c897f33a-34f1-4605-a41b-3e09851f0f09 · outbound

This paper cites Matplotlib: A 2d graphics environment computing in science & engineering 9 (3), 90–95.Publisher: IEEE COMPUTER SOC, 2007.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Matplotlib: A 2d graphics environment computing in science & engineering 9 (3), 90–95.Publisher: IEEE COMPUTER SOC, 2007

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.119349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.857340Z digest=sha256:ca8f77fc9dbcba9af9eca75caa1ad9e4e990c2bbf75cdce6f11ec3123fa0b1e1

Observation 4d419cf8-ce24-4ec1-9251-aad20860d6d2 · outbound

This paper cites Harris, K.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Harris, K

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.861796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.861796Z digest=sha256:2a903f4b58682dbec80063e3ea40c294120e10d6367ea9fe08741ca046d0f03a

Observation 6205dd76-0e9b-4da9-96dd-dbcec9cfdc2f · outbound

This paper cites pandas-dev/pandas: Pandas, February 2020.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers pandas-dev/pandas: Pandas, February 2020

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.865843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.865843Z digest=sha256:e462b2a480587720e39ccc6b011f6df0211cf55ede8f27ba0d173e5397696fdc

Observation d086dfbf-88d3-4367-9c78-955ad1d7798e · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.870072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.870072Z digest=sha256:34d66fd432af148ab12ce6ba36daa56a11b2233bc8ac5fb91cbe82096c5c83a1

Observation 2434a36f-c673-45cd-84ac-7d616f961ed5 · outbound

This paper cites Lie Point Symmetry Data Augmentation for Neural PDE Solvers.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.874151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:26.874151Z digest=sha256:2d24e9c6b6a60defabc8109774f91bb3d69757f4d0eba038b09e3a11f2b1f838

Observation 28b2fb9b-f458-4d0d-a772-cb83d313c5c2 · outbound

This paper cites Lie Point Symmetry Data Augmentation for Neural PDE Solvers.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.087519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:26.878803Z digest=sha256:f44c6071cea7fd73251095465b3806fa8f9eadd4cce459400844b548a6f2bccc

Observation 475a7bc4-e3a2-49a8-9bfb-f058afcab9cd · outbound

This paper cites Understanding the difficulty of training deep feedfor- ward neural networks.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Understanding the difficulty of training deep feedfor- ward neural networks

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.882818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94aac2e2-031a-4f0d-9d13-ec7c782fd937 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Adam: A Method for Stochastic Optimization

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:26.887001Z

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Observation 0af08279-3a40-415a-a567-d91b0c6ed001 · outbound

This paper cites [Accessed 18-05-2025].

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers [Accessed 18-05-2025]

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:27.065360Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2fb784b0-a508-4c14-b1bc-1ce43eaca358 · outbound

This paper cites Embodied Carbon.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Embodied Carbon

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6c53d8bc-4045-4a47-9b7b-d14890f22023 · outbound

This paper cites Xavier uniform initialization [69] is employed with a fixed seed for reproducibility.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Xavier uniform initialization [69] is employed with a fixed seed for reproducibility

Reference 128

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Observation 29080f3f-8e14-49c4-b4de-378989841be9 · outbound

This paper cites an unresolved cited work.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Unresolved cited work

Reference 2023

Resolution
parse uncertain
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

Observation 25903808-025d-48e8-9c46-71a80b912bf1 · inbound

Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems cites this paper.

Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers

Reference 27

Resolution
unresolved
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source=pdf_text observed=2026-08-07T12:28:02.281195Z digest=sha256:ef17e73f8fb574a161d6c80068fc3def552a5fbff48be932f6b7623fbb17b9ac

Observation 82537de7-2709-4b65-a04d-ac9afa385d74 · inbound

Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting cites this paper.

Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:04:52.503873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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