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Paper Citation Record · LEDGER

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.02306.

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

pith.paper-citation-record.v1
2608.02306 v1

Coverage vector

measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T09:40:33.904547Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation d1c8770b-af8e-42c4-8038-0ba446b18b57 · outbound

This paper cites Osher and R.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Osher and R

Reference 1

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Observation 89977309-d43d-45a5-9431-174a2cc0442e · outbound

This paper cites A continuous and interpretable morphometric for robust quantification of dynamic biological shapes,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes A continuous and interpretable morphometric for robust quantification of dynamic biological shapes,

Reference 2

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Observation edc10427-cae8-4a60-87f3-1b53cd5d74a5 · outbound

This paper cites Generalized Procrustes analysis,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Generalized Procrustes analysis,

Reference 3

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Observation 9647fc41-5b81-4077-b8bb-e0c579996e88 · outbound

This paper cites Elliptic Fourier features of a closed contour,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Elliptic Fourier features of a closed contour,

Reference 4

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Observation ba687fd0-f467-4023-8940-e3bc0f219562 · outbound

This paper cites SHTools: Tools for working with spherical harmonics,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes SHTools: Tools for working with spherical harmonics,

Reference 5

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Observation 5b1cb883-b629-4ad6-adf6-daf0ba9cc233 · outbound

This paper cites ShapeEmbed: a self-supervised learning framework for 2D contour quantification.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes ShapeEmbed: a self-supervised learning framework for 2D contour quantification

Reference 6

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Observation 2a54f4ac-909b-4317-9406-701f4d811290 · outbound

This paper cites Orientation-invariant au- toencoders learn robust representations for shape profiling of cells and organelles,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Orientation-invariant au- toencoders learn robust representations for shape profiling of cells and organelles,

Reference 7

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Observation d96e1b19-5823-4d69-977e-707f2977dc5f · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes A simple framework for contrastive learning of visual representations,

Reference 8

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Observation 9daa434d-ca02-432f-9761-9650465d84b3 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Masked autoencoders are scalable vision learners,

Reference 9

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Observation b403bb93-44a0-4309-b3f4-f6c747952cef · outbound

This paper cites Fourier descriptors for plane closed curves,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Fourier descriptors for plane closed curves,

Reference 10

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Observation 5128aef8-ba05-4286-bf1d-3512610a6866 · outbound

This paper cites Negative order Sobolev cubatures: Preconditioners of partial differential equation learning tasks circumventing numerical stiffness,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Negative order Sobolev cubatures: Preconditioners of partial differential equation learning tasks circumventing numerical stiffness,

Reference 11

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Observation 4dd05a0f-ff68-496e-a964-9d8a534cd272 · outbound

This paper cites Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power,

Reference 12

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Observation 205636f8-e03d-46f6-ab2f-d67c47e184f7 · outbound

This paper cites The Hamilton-Jacobi skeleton,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes The Hamilton-Jacobi skeleton,

Reference 13

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Observation 9fb77ff1-9d4d-461d-b2d7-45e1adc55c43 · outbound

This paper cites On Riemannian manifolds admitting a function whose gradient is of constant norm,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes On Riemannian manifolds admitting a function whose gradient is of constant norm,

Reference 14

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Observation 45f6e3f0-4a5d-400b-8357-670202ece6a4 · outbound

This paper cites Signed distance functions,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Signed distance functions,

Reference 15

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Observation 06bffbe9-3af0-4c4a-8374-73fad81f545c · outbound

This paper cites Viscosity solutions of Hamilton-Jacobi equations,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Viscosity solutions of Hamilton-Jacobi equations,

Reference 16

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Observation b34e6494-1782-458d-b8f4-d73f1dbdad7b · outbound

This paper cites A Variational Framework for the Complexity of PDE Solutions.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes A Variational Framework for the Complexity of PDE Solutions

Reference 17

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Observation 32c4cff4-6204-4036-a4f3-676726b69bef · outbound

This paper cites Distance solutions for medial axis transform,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Distance solutions for medial axis transform,

Reference 18

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Observation 004987f8-d9d2-4522-9088-60bf0f1c3ce3 · outbound

This paper cites Theλ-medial axis,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Theλ-medial axis,

Reference 19

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Observation 5f1a7fcd-f3fa-48a2-8179-f5c4d6f264d8 · outbound

This paper cites A skeletal measure of 2D shape similarity,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes A skeletal measure of 2D shape similarity,

Reference 20

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Observation 426a101a-3c15-4874-b6d6-94359ee13f7d · outbound

This paper cites scikit-image: Image processing in Python,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes scikit-image: Image processing in Python,

Reference 21

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Observation 5234679a-1d67-452c-84ec-62a5f68c4775 · outbound

This paper cites Identification of approximate symmetries in biological development,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Identification of approximate symmetries in biological development,

Reference 22

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Observation fa04ad4c-2ea8-4948-8f36-4b4dead0d0ea · outbound

This paper cites MPEG-7 Core Experiment CE-Shape-1 Test Set: Benchmarking image database for shape recognition techniques,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes MPEG-7 Core Experiment CE-Shape-1 Test Set: Benchmarking image database for shape recognition techniques,

Reference 23

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Observation bec9e8d1-5af6-440c-80d1-13af203c5424 · outbound

This paper cites Annotated high-throughput microscopy image sets for valida- tion,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Annotated high-throughput microscopy image sets for valida- tion,

Reference 24

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Observation 4dc74341-81e5-4a53-a80c-64c6bee900ee · outbound

This paper cites The OpenCV library,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes The OpenCV library,

Reference 25

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Observation 2e14545c-a073-4471-892b-0e0cba209520 · outbound

This paper cites SpinePy enables automated 3D spatiotemporal quantification of multicellular in vitro systems,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes SpinePy enables automated 3D spatiotemporal quantification of multicellular in vitro systems,

Reference 26

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Observation 1d32a063-bcde-4d3a-b893-34d0d5e7cd11 · outbound

This paper cites Cartan,Differential Forms, Dover Books on Mathematics.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Cartan,Differential Forms, Dover Books on Mathematics

Reference 27

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Observation fe14780b-98be-40ef-9e90-989e44a1ff31 · outbound

This paper cites Invertible harmonic mappings, beyond Kneser,.

The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes Invertible harmonic mappings, beyond Kneser,

Reference 28

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Pith citing papers

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