Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise | Paper Citation Record

Observation df30e986-6239-4b62-b6a2-28e69d6cfa86 · outbound

This paper cites Comparison of transformations for single-cell rna-seq data.Nature Methods, 20(5):665–672, May 2023.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Comparison of transformations for single-cell rna-seq data.Nature Methods, 20(5):665–672, May 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.890678Z

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Observation b53e8db4-59b1-4105-b829-0e2e83f4f184 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Laplacian eigenmaps for dimensionality reduction and data repre- sentation.Neural Computation, 15(6):1373–1396, 2003

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.876804Z

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Observation d007c394-5239-47f0-8569-320793ed92ee · outbound

This paper cites The metric nearness problem.SIAM Journal on Matrix Analysis and Applications, 30(1):375–396, 2008.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise The metric nearness problem.SIAM Journal on Matrix Analysis and Applications, 30(1):375–396, 2008

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.862971Z

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Observation 500f9391-512e-4c4e-a95b-a22673c84d98 · outbound

This paper cites Buades, B.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Buades, B

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Observation cf3854c6-7712-47ba-b217-9914058b7f9b · outbound

This paper cites Society for Industrial and Applied Mathematics, 2012.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Society for Industrial and Applied Mathematics, 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.839116Z

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Observation 1574b59e-0a12-4a7d-a9c5-e04f41ae5e72 · outbound

This paper cites The single-cell transcriptional landscape of mammalian organogenesis.Nature, 566(7745):496–502, February 2019.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise The single-cell transcriptional landscape of mammalian organogenesis.Nature, 566(7745):496–502, February 2019

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-15T18:22:03.816368Z

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Observation a599288d-70c8-446c-849a-c93173161d40 · outbound

This paper cites Big data for remote sensing: Challenges and opportunities.Proceedings of the IEEE, 104(11):2207–2219, 2016.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Big data for remote sensing: Challenges and opportunities.Proceedings of the IEEE, 104(11):2207–2219, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.800483Z

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Observation 30d7706d-eca0-48fe-924d-d3b1daea6e34 · outbound

This paper cites Coifman and St´ ephane Lafon.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Coifman and St´ ephane Lafon

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.787420Z

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Observation df010dd8-167a-4a29-9c3d-fba129f358d6 · outbound

This paper cites Coifman and Mauro Maggioni.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Coifman and Mauro Maggioni

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.775005Z

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Observation 94ae10e4-9227-46a1-a853-4e1197cdeba3 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Convolutional neural networks on graphs with fast localized spectral filtering

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.759564Z

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Observation 4e0e6a13-ec0e-4264-9e55-aa7d7c9df594 · outbound

This paper cites Farrell, Yiqun Wang, Samantha J.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Farrell, Yiqun Wang, Samantha J

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.746266Z

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Observation c68eccc0-b968-4db3-9d9e-aa49709cacbd · outbound

This paper cites Community detection in graphs.Physics Reports, 486(3):75–174, 2010.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Community detection in graphs.Physics Reports, 486(3):75–174, 2010

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Observation b7e8490c-35a9-44ef-a230-b966b21ddf8b · outbound

This paper cites Review of wavelet denoising algorithms.Multimedia Tools and Applications, 82(27):41539– 41569, 2023.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Review of wavelet denoising algorithms.Multimedia Tools and Applications, 82(27):41539– 41569, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.722049Z

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Observation 6e934313-1843-41bd-896a-b0cdbe4e7dcf · outbound

This paper cites an unresolved cited work.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-15T18:22:03.707408Z

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Observation 7726b682-0d2b-469d-8c9e-147552b88d7e · outbound

This paper cites an unresolved cited work.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:02.806924Z

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Observation d4580399-9117-4d04-8cdc-65f657423f23 · outbound

This paper cites Hammond, Pierre Vandergheynst, and R´ emi Gribonval.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Hammond, Pierre Vandergheynst, and R´ emi Gribonval

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.686457Z

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Observation bd81d5d2-12d1-464e-94ad-df99568b1d12 · outbound

This paper cites Missing data and technical variability in single-cell rna-sequencing experiments.Biostatistics, 19(4):562–578, 11 2017.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Missing data and technical variability in single-cell rna-sequencing experiments.Biostatistics, 19(4):562–578, 11 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.672911Z

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Observation f23e79e1-ab85-4c01-81a3-2428fd4a16cb · outbound

This paper cites Probability inequalities for sums of bounded random variables.Journal of the American Statistical Association, 58(301):13–30, 1963.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Probability inequalities for sums of bounded random variables.Journal of the American Statistical Association, 58(301):13–30, 1963

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Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:02.818456Z

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Observation 9d4d0705-6e34-4e5d-b2ee-a43f66b93c5c · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Loopy belief propagation for bipartite maximum weight b-matching

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.648307Z

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Observation ec043013-f7ef-4143-92bd-beb027c931a9 · outbound

This paper cites Graph construction and b-matching for semi-supervised learning.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Graph construction and b-matching for semi-supervised learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.633342Z

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Observation 430d37f4-06f5-4ba7-ab18-8e4e80c9c233 · outbound

This paper cites Principal component analysis: a review and recent developments.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Principal component analysis: a review and recent developments

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.619040Z

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Observation 24d1ac26-ef50-4c38-b350-860483476d8c · outbound

This paper cites On information plus noise kernel random matrices.The Annals of Statistics, 38(5):3191 – 3216, 2010.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise On information plus noise kernel random matrices.The Annals of Statistics, 38(5):3191 – 3216, 2010

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Observation 79196e52-d35e-4564-92fe-4a6dd811dd74 · outbound

This paper cites Graph connection Laplacian methods can be made robust to noise.The Annals of Statistics, 44(1):346 – 372, 2016.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Graph connection Laplacian methods can be made robust to noise.The Annals of Statistics, 44(1):346 – 372, 2016

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Observation dfbe36d5-8184-45b6-a217-70da479147c2 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Spectral biclustering of microarray data: coclustering genes and conditions.Genome research, 13(4):703–716, 2003

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Observation b8302d5b-360a-49c1-8b84-4bafa2755712 · outbound

This paper cites an unresolved cited work.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Unresolved cited work

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Observation 758c1b2d-003f-4c36-abfb-a2de03e767ce · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Robust inference of manifold density and geometry by doubly stochas- tic scaling.SIAM Journal on Mathematics of Data Science, 5(3):589–614, 2023

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Observation 8a136dc3-16e9-4048-a5db-a90ecc21679c · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Doubly stochastic normalization of the gaussian kernel is robust to heteroskedastic noise.SIAM journal on mathematics of data science, 3(1):388–413, 2021

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Observation 20daaa34-a493-4f90-a8c9-13b58a90f2a0 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise The steerable graph laplacian and its application to filtering image datasets.SIAM Journal on Imaging Sciences, 11(4):2254–2304, 2018

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Introduction to inequalities.Marjorie Lohwater, 1982

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Observation 33bef57e-b423-4962-b7e1-30f296001e18 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Lovasz.Matching Theory (North-Holland mathematics studies)

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Observation 962b272c-6d32-4585-ae37-57ec715a9fec · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Current best practices in single-cell rna-seq analysis: a tutorial

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Observation 01b2cbda-1093-4ffb-afa0-10e62510096d · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.Cell, 161(5):1202–1214, 2015

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Observation c6739ec6-323e-417f-9fef-1992ad13520a · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Some methods for classification and analysis of multivariate observations

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Observation 41c4bb26-6fd7-489c-93d2-84f1d4e3322c · outbound

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Observation b3ad387e-a118-4029-b7a6-9f73c3c23e85 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Umap: Uniform manifold approximation and projec- tion for dimension reduction, 2020

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Observation bd461c09-d061-486e-8825-e55b0b20fc0d · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Meyer and Xilin Shen

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Observation e312d930-de50-4118-adee-738ea03e1183 · outbound

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Observation 5ea0f0da-97ba-43b1-9bc2-a012bde0b691 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise On spectral clustering: Analysis and an algorithm

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Observation 0c47b222-87eb-4327-9822-d08dec22a4a3 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Graph laplacian regularization for image denoising: Analysis in the continuous domain.IEEE Transactions on Image Processing, 26(4):1770–1785, 2017

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Observation 58c25f83-98f2-4ea8-8cdc-740a901e8b83 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise The human cell atlas.elife, 6:e27041, 2017

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37c37cbc-daa7-4c80-b664-a7058701d7d4 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Poisson noise reduc- tion with non-local pca.J

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Source-reported events for the cited work

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Observation 12334c73-5e01-4501-ab66-180c7d50ab00 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Separating measurement and expression models clarifies con- fusion in single-cell RNA sequencing analysis.Nature Genetics, 53(6):770–777, June 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d5b533c-ef22-4ada-a065-cdd05d2f25d3 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-15T18:22:03.328895Z

Source-reported events for the cited work

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Observation cfcaca20-a215-412d-8ad7-2e5f186f0bfa · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Spectralnet: Spectral clustering using deep neural networks, 2018

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Observation 3937bb1f-487c-4f0b-88ab-a5e3627f0b96 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Analysis of call centre arrival data using singular value decompo- sition.Applied Stochastic Models in Business and Industry, 21(3):251–263, 2005

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.307554Z

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Observation 5d941da6-0440-49b2-acf0-d6b4c9cbbc34 · outbound

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Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Missing information reconstruction of remote sensing data: A technical review.IEEE Geoscience and Remote Sensing Magazine, 3(3):61–85, 2015

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Observation a267a912-9b76-4126-9984-ba294f3df434 · outbound

This paper cites Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.283630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation affb10af-ad66-4eb0-bd5e-99308351c40d · outbound

This paper cites Diffusion interpretation of nonlocal neighborhood filters for signal denoising.SIAM Journal on Imaging Sciences, 2(1):118–139, 2009.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Diffusion interpretation of nonlocal neighborhood filters for signal denoising.SIAM Journal on Imaging Sciences, 2(1):118–139, 2009

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.270030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ebf5e12-d013-4710-a6ff-0f1511c874cf · outbound

This paper cites Concerning nonnegative matrices and doubly stochastic matrices.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Concerning nonnegative matrices and doubly stochastic matrices

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:02.947906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5e0fd2-b3ee-4437-ad73-427ae57a13d3 · outbound

This paper cites Triangle fixing algorithms for the metric nearness problem.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Triangle fixing algorithms for the metric nearness problem

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.246960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99de7115-a70f-4faa-abb5-95d0d58f9873 · outbound

This paper cites Tamuz, T.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Tamuz, T

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.233943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c577aee3-4d5f-4241-99f2-acd5028d808b · outbound

This paper cites An efficient algorithm for theℓ p norm based metric nearness problem.Mathematics of Computation, 2024.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise An efficient algorithm for theℓ p norm based metric nearness problem.Mathematics of Computation, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.220255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 427581e9-910a-4af3-aedd-20ca2e3c374b · outbound

This paper cites Torgerson.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Torgerson

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.204770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2f18a87-f266-4728-9f60-b5b7886d8acb · outbound

This paper cites Snekhorn: Dimension reduction with symmetric entropic affinities.Advances in Neural Information Processing Systems, 36:44470–44487, 2023.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Snekhorn: Dimension reduction with symmetric entropic affinities.Advances in Neural Information Processing Systems, 36:44470–44487, 2023

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.189967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b389015d-912a-40ea-9779-ede51f7e5eaf · outbound

This paper cites Visualizing data using t-sne.Journal of Machine Learning Research, 9(86):2579–2605, 2008.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Visualizing data using t-sne.Journal of Machine Learning Research, 9(86):2579–2605, 2008

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:02.977316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d293e7-8b7b-4975-ae27-e309687d9164 · outbound

This paper cites Cambridge university press, 2018.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Cambridge university press, 2018

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:02.984857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d7656b9-ac78-4f53-badc-8c55acd3a1cf · outbound

This paper cites De Jager, Orit Rozenblatt-Rosen, Andrew A.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise De Jager, Orit Rozenblatt-Rosen, Andrew A

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.157908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e39645e3-dca8-4409-a6b2-6df18e3d3ed8 · outbound

This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.Journal of machine learning research, 11(12), 2010.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.Journal of machine learning research, 11(12), 2010

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.145000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3fb18d60-c732-494e-9ee3-ff44918204ac · outbound

This paper cites A tutorial on spectral clustering, 2007.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise A tutorial on spectral clustering, 2007

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.126525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc28ef99-974d-447f-9e88-71a35e9baee1 · outbound

This paper cites A noise and background reduction method for component detection in liquid chromatography/mass spectrometry.Analytical chemistry, 68(20):3602– 3606, 1996.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise A noise and background reduction method for component detection in liquid chromatography/mass spectrometry.Analytical chemistry, 68(20):3602– 3606, 1996

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.112362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2517ac16-66a3-4232-b01c-c9dbb7f780e3 · outbound

This paper cites Spectral convergence of diffusion maps: Improved error bounds and an alternative normalization.SIAM Journal on Numerical Analysis, 59(3):1687–1734, 2021.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Spectral convergence of diffusion maps: Improved error bounds and an alternative normalization.SIAM Journal on Numerical Analysis, 59(3):1687–1734, 2021

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.097931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e932a1f-f17d-48ca-b138-d43ede51faac · outbound

This paper cites Intrinsic randomness as a measure of quantum coherence.Physical Review A, 92(2):022124, 2015.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Intrinsic randomness as a measure of quantum coherence.Physical Review A, 92(2):022124, 2015

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.084379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a956aa63-15d7-4c0b-b59c-1e1ac4fa83a6 · outbound

This paper cites Self-tuning spectral clustering.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Self-tuning spectral clustering

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:03.068942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4bfcbc1d-330a-401b-8c46-5dffeae7e786 · outbound

This paper cites an unresolved cited work.

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:22:03.054044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Reference resolution

Outbound references

Pith citing papers