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Paper Citation Record · LEDGER

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.22206.

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pith.paper-citation-record.v1
2607.22206 v1

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measured 26 of 26 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T05:37:03.152551Z

measured 26 of 26 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

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

26 of 26 outbound references displayed

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Outbound references

Observation 1df18c4a-23e8-4f44-adb5-1689a59bdad9 · outbound

This paper cites An r-adaptive finite element method using neural networks for parametric self- adjoint elliptic problem.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators An r-adaptive finite element method using neural networks for parametric self- adjoint elliptic problem

Reference 1

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Observation a50e6fcd-52d6-404b-b003-60559d641b2b · outbound

This paper cites Shape and topology optimization.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Shape and topology optimization

Reference 2

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Observation c2e1e32b-3015-4b7d-ad7b-6df7c4bb781b · outbound

This paper cites Unified form language: A domain-specific language for weak formulations of partial differential equations.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Unified form language: A domain-specific language for weak formulations of partial differential equations

Reference 3

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Observation 367dd7fa-6305-407b-8663-85abc1b4babb · outbound

This paper cites An Adaptive Conservative Moving Mesh Method.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators An Adaptive Conservative Moving Mesh Method

Reference 4

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Observation e91b8ca3-4688-4023-a275-cf78461e12ed · outbound

This paper cites Computationally Efficient R-Adaptive Graded Meshes Over Non-Convex Domains.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Computationally Efficient R-Adaptive Graded Meshes Over Non-Convex Domains

Reference 5

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Observation 87c9f70e-e772-4bc2-9804-c71eb3e2a082 · outbound

This paper cites The Dune framework: Basic concepts and recent developments.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators The Dune framework: Basic concepts and recent developments

Reference 6

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Observation 8b8242cd-3cf6-4d04-b103-faa28a3fd035 · outbound

This paper cites Adaptive finite element methods.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Adaptive finite element methods

Reference 7

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Observation ea5dcd74-6d5a-4f26-a9f8-e9e2e51e0b24 · outbound

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Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Unresolved cited work

Reference 8

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Observation 828fa097-e330-4699-b218-b4ab259b575e · outbound

This paper cites Adaptivity with moving grids.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Adaptivity with moving grids

Reference 9

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Observation 6c273427-564c-465c-97ca-c9f163f4e6f4 · outbound

This paper cites Convergence and optimality of hp-AFEM.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Convergence and optimality of hp-AFEM

Reference 10

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Observation 4c839946-4163-4a3e-82b4-47ea7286a3d2 · outbound

This paper cites A saturation property for the spectral-Galerkin approximation of a Dirichlet problem in a square.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators A saturation property for the spectral-Galerkin approximation of a Dirichlet problem in a square

Reference 11

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Observation 5bb3f91b-9cef-4994-bcb6-743bd5a28da8 · outbound

This paper cites Approaches for generating moving adaptive meshes: location versus velocity.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Approaches for generating moving adaptive meshes: location versus velocity

Reference 12

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Observation 058641ae-f30f-4b8e-8f0b-732f65452605 · outbound

This paper cites A novel W 1,∞ approach to shape optimisation with Lipschitz domains.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators A novel W 1,∞ approach to shape optimisation with Lipschitz domains

Reference 13

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Observation c4402746-c009-4b5c-ac75-f7914452a4e2 · outbound

This paper cites PDE-constrained shape optimization with first- order and Newton-type methods in the W 1,∞ topology.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators PDE-constrained shape optimization with first- order and Newton-type methods in the W 1,∞ topology

Reference 14

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Observation 1e29d08b-47fd-48e4-a62c-9032d480fd83 · outbound

This paper cites Convergence of a steepest descent algorithm in shape optimisation using W 1,∞ functions.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Convergence of a steepest descent algorithm in shape optimisation using W 1,∞ functions

Reference 15

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Observation c9537e20-b961-45e2-9a6d-d9f0edd4bfb8 · outbound

This paper cites The Dune Python Module.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators The Dune Python Module

Reference 16

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Observation 7f52dd4f-a441-4980-a3a1-3edacd01a417 · outbound

This paper cites Dedner, M.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Dedner, M

Reference 17

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Observation 45bcc1a3-c3cb-4942-9be4-40cb63c5a49f · outbound

This paper cites An $rp$-adaptive method for accurate resolution of shock-dominated viscous flow based on implicit shock tracking.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators An $rp$-adaptive method for accurate resolution of shock-dominated viscous flow based on implicit shock tracking

Reference 18

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Observation e8d67403-8c80-47ba-a808-30a0e4e716ee · outbound

This paper cites A formula for membrane mediated point particle interactions on near spherical biomembranes.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators A formula for membrane mediated point particle interactions on near spherical biomembranes

Reference 19

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Observation 2305d097-67da-436f-8c6d-7c3d11460e17 · outbound

This paper cites On differentiability of the membrane-mediated mechanical interaction energy of discrete-continuum membrane-particle models.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators On differentiability of the membrane-mediated mechanical interaction energy of discrete-continuum membrane-particle models

Reference 20

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Observation 09bd5e06-b54f-4d16-beb1-59d7d63e00d0 · outbound

This paper cites Huang and R.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Huang and R

Reference 21

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Observation 0241ddbc-e68c-4cdf-8091-5970bead3bcb · outbound

This paper cites Higher-order moving mesh methods for PDE- constrained shape optimization.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Higher-order moving mesh methods for PDE- constrained shape optimization

Reference 22

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Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Unresolved cited work

Reference 23

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Observation 6f3e413b-4cff-4df8-846c-0f8109a8fc4c · outbound

This paper cites A Moving Mesh Method for One- dimensional Hyperbolic Conservation Laws.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators A Moving Mesh Method for One- dimensional Hyperbolic Conservation Laws

Reference 24

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Observation f98b9039-06cc-496d-89ab-19116f402000 · outbound

This paper cites r-refinement for evolutionary PDEs with finite elements or finite differences.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators r-refinement for evolutionary PDEs with finite elements or finite differences

Reference 25

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Observation 94de207c-2f17-43f9-a761-4c484c847d5d · outbound

This paper cites Towards universal mesh movement networks.

Shape optimisation for adaptive $r$-refinement: the one-dimensional case with residual based error estimators Towards universal mesh movement networks

Reference 26

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