Paper Citation Record · LEDGER

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.13382.

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pith.paper-citation-record.v1
2607.13382 v1

Coverage vector

measured 33 of 33 reference resolution

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measured 33 of 33 standing notices

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 9335aee5-82e2-46d6-8dc3-272c21306ea0 · outbound

This paper cites Foundations of Computational Mathematics25(6), 1975–2034 (2025).https://doi.org/10.1007/ s10208-025-09738-2.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Foundations of Computational Mathematics25(6), 1975–2034 (2025).https://doi.org/10.1007/ s10208-025-09738-2

Reference 1

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Observation 5cfc1bb4-1027-4fef-b32e-d7a62973a9b7 · outbound

This paper cites arXiv preprint arXiv:2603.18251 (2026).

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs arXiv preprint arXiv:2603.18251 (2026)

Reference 2

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This paper cites SIAM Journal on Scientific Computing32(3), 1217–1236 (2010).https: //doi.org/10.1137/090767911.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs SIAM Journal on Scientific Computing32(3), 1217–1236 (2010).https: //doi.org/10.1137/090767911

Reference 3

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Observation 4edecc14-6b44-481b-ab0b-5b2c5eb37370 · outbound

This paper cites SIAM Journal on Numerical Analysis54(3), 1785–1812 (2016).https://doi.org/10.1137/ 15M1032375.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs SIAM Journal on Numerical Analysis54(3), 1785–1812 (2016).https://doi.org/10.1137/ 15M1032375

Reference 4

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This paper cites Journal of Scientific Computing71(3), 1094–1134 (2017).https://doi.org/10.1007/s10915-016-0333-3.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Journal of Scientific Computing71(3), 1094–1134 (2017).https://doi.org/10.1007/s10915-016-0333-3

Reference 5

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Observation ac5451c1-99df-4d9c-8286-31d9988b6dde · outbound

This paper cites Journal of Computational Physics296, 72–89 (2015).https://doi.org/10.1016/j.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Journal of Computational Physics296, 72–89 (2015).https://doi.org/10.1016/j

Reference 6

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This paper cites Computer Methods in Ap- plied Mechanics and Engineering449, 118583 (2026).https://doi.org/10.1016/j.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Computer Methods in Ap- plied Mechanics and Engineering449, 118583 (2026).https://doi.org/10.1016/j

Reference 7

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Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Unresolved cited work

Reference 8

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Observation 215023b6-5f53-48b8-aeaa-6476bbec2b12 · outbound

This paper cites Journal of Machine Learning 1(3), 268–298 (2022).https://doi.org/10.4208/jml.220726.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Journal of Machine Learning 1(3), 268–298 (2022).https://doi.org/10.4208/jml.220726

Reference 9

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Observation fbac2308-8d15-4ef0-8e18-9402f7933956 · outbound

This paper cites East Asian Journal on Applied Mathematics13(3), 435–463 (2023).https://doi.org/ 10.4208/eajam.2023-065.050423.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs East Asian Journal on Applied Mathematics13(3), 435–463 (2023).https://doi.org/ 10.4208/eajam.2023-065.050423

Reference 10

Resolution: verified exact; doi, observed 2026-08-02T05:28:31.021439Z

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This paper cites The SMAI Jour- nal of Computational Mathematics3, 181–203 (2017).https://doi.org/10.5802/ smai-jcm.24.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs The SMAI Jour- nal of Computational Mathematics3, 181–203 (2017).https://doi.org/10.5802/ smai-jcm.24

Reference 11

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This paper cites In: Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs In: Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp

Reference 12

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This paper cites Computer Methods in Applied Me- chanics and Engineering387, 114129 (2021).https://doi.org/10.1016/j.cma.2021.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Computer Methods in Applied Me- chanics and Engineering387, 114129 (2021).https://doi.org/10.1016/j.cma.2021

Reference 13

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This paper cites Neurocomput- ing391, 96–118 (2020).https://doi.org/10.1016/j.neucom.2019.12.099.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Neurocomput- ing391, 96–118 (2020).https://doi.org/10.1016/j.neucom.2019.12.099

Reference 14

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Reference 15

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Reference 16

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This paper cites SIAM Journal on Scientific Computing45(4), A1971–A1994 (2023).https://doi.org/10.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs SIAM Journal on Scientific Computing45(4), A1971–A1994 (2023).https://doi.org/10

Reference 17

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This paper cites Computer Methods in Applied Mechanics and Engineering290, 73–97 (2015).https://doi.org/10.1016/j.cma.2015.02.006.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Computer Methods in Applied Mechanics and Engineering290, 73–97 (2015).https://doi.org/10.1016/j.cma.2015.02.006

Reference 18

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This paper cites Applied Mathematics and Computation119(2–3), 177–186 (2001).https://doi.org/10.1016/ S0096-3003(99)00255-6.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Applied Mathematics and Computation119(2–3), 177–186 (2001).https://doi.org/10.1016/ S0096-3003(99)00255-6

Reference 19

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Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Unresolved cited work

Reference 20

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Observation e84afbe1-81a1-4517-9138-33ae1592dab7 · outbound

This paper cites Bernoulli23(1), 110–133 (2017).https://doi.org/10.3150/ 15-BEJ730.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Bernoulli23(1), 110–133 (2017).https://doi.org/10.3150/ 15-BEJ730

Reference 21

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This paper cites SIAM Journal on Mathematical Analysis15(1), 133–136 (1984).https://doi.org/10.1137/0515009.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs SIAM Journal on Mathematical Analysis15(1), 133–136 (1984).https://doi.org/10.1137/0515009

Reference 22

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This paper cites SIAM Review63(1), 208–228 (2021).https://doi.org/ 10.1137/19M1274067.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs SIAM Review63(1), 208–228 (2021).https://doi.org/ 10.1137/19M1274067

Reference 23

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This paper cites SIAM Journal on Scientific Computing 36(2), C95–C118 (2014).https://doi.org/10.1137/120866580.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs SIAM Journal on Scientific Computing 36(2), C95–C118 (2014).https://doi.org/10.1137/120866580

Reference 24

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This paper cites Mathematics of Computation86(306), 1913– 1947 (2017).https://doi.org/10.1090/mcom/3192.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Mathematics of Computation86(306), 1913– 1947 (2017).https://doi.org/10.1090/mcom/3192

Reference 25

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Observation 9cc69626-2790-4cac-aecc-e248c6a8fd8c · outbound

This paper cites Ad- vances in Computational Mathematics42(4), 973–993 (2016).https://doi.org/10.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Ad- vances in Computational Mathematics42(4), 973–993 (2016).https://doi.org/10

Reference 26

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This paper cites Journal of Computational and Ap- plied Mathematics445, 115830 (2024).https://doi.org/10.1016/j.cam.2024.115830.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Journal of Computational and Ap- plied Mathematics445, 115830 (2024).https://doi.org/10.1016/j.cam.2024.115830

Reference 27

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This paper cites Journal of Computational and Applied Mathematics481, 117255 (2026).https://doi.org/10.1016/j.cam.2025.117255.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Journal of Computational and Applied Mathematics481, 117255 (2026).https://doi.org/10.1016/j.cam.2025.117255

Reference 28

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This paper cites Foundations of Computational Mathematics12(4), 389–434 (2012).https://doi.org/10.1007/ s10208-011-9099-z.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Foundations of Computational Mathematics12(4), 389–434 (2012).https://doi.org/10.1007/ s10208-011-9099-z

Reference 29

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This paper cites Foundations and Trends in Machine Learning8(1-2), 1–230 (2015).https://doi.org/10.1561/ 2200000048.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Foundations and Trends in Machine Learning8(1-2), 1–230 (2015).https://doi.org/10.1561/ 2200000048

Reference 30

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This paper cites Computer Methods in Applied Mechanics and Engineering 418, 116578 (2024).https://doi.org/10.1016/j.cma.2023.116578.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Computer Methods in Applied Mechanics and Engineering 418, 116578 (2024).https://doi.org/10.1016/j.cma.2023.116578

Reference 31

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This paper cites BIT Numerical Mathematics65(1), 11 (2025).https://doi.org/10.1007/ s10543-025-01053-0.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs BIT Numerical Mathematics65(1), 11 (2025).https://doi.org/10.1007/ s10543-025-01053-0

Reference 32

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This paper cites Computer Methods in Applied Mechanics and Engineering403, 115671 (2023).https://doi.org/ 10.1016/j.cma.2022.115671.

Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs Computer Methods in Applied Mechanics and Engineering403, 115671 (2023).https://doi.org/ 10.1016/j.cma.2022.115671

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T05:25:29.856297Z

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