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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds

As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.10592.

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Outbound references

Observation 24cb045d-4e38-4ccc-955d-c9c1e524a703 · outbound

This paper cites Riemannian Lp center of mass: existence, uniqueness, and convexity.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Riemannian Lp center of mass: existence, uniqueness, and convexity

Reference 1

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This paper cites Ambrose and I.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Ambrose and I

Reference 2

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This paper cites Birkh¨auser, 2008.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Birkh¨auser, 2008

Reference 3

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This paper cites Machine learning line bundle connections.Physics Letters B, 827:136972, 2022.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Machine learning line bundle connections.Physics Letters B, 827:136972, 2022

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This paper cites Birkh ¨auser, 2006.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Birkh ¨auser, 2006

Reference 5

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This paper cites A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models, 2025.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models, 2025

Reference 6

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Springer, 2003

Reference 7

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This paper cites Bhattacharya and A.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Bhattacharya and A

Reference 8

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This paper cites Large sample theory of intrinsic and extrinsic sample means on manifolds—I.The Annals of Statistics, 31(1):1–29, 2003.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Large sample theory of intrinsic and extrinsic sample means on manifolds—I.The Annals of Statistics, 31(1):1–29, 2003

Reference 9

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This paper cites Large sample theory of intrinsic and ex- trinsic sample means on manifolds—II.The Annals of Statistics, 33(3):1225–1259,.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Large sample theory of intrinsic and ex- trinsic sample means on manifolds—II.The Annals of Statistics, 33(3):1225–1259,

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This paper cites URL https://doi.org/10.1214/ 009053605000000093.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds URL https://doi.org/10.1214/ 009053605000000093

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This paper cites Cambridge University Press, 2018.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Cambridge University Press, 2018

Reference 12

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This paper cites Sliced-Wasserstein Distances and Flows on Cartan–Hadamard Manifolds.Journal of Machine Learning Research, 26:1–76, 2025.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Sliced-Wasserstein Distances and Flows on Cartan–Hadamard Manifolds.Journal of Machine Learning Research, 26:1–76, 2025

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Oxford University Press, Oxford, 2013

Reference 14

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Bridson and Andr´e H¨afliger.Metric Spaces of Non-Positive Curvature, volume 319 ofGrundlehren der Mathematischen Wissenschaften

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Caffarelli

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Cohen, Mario Geiger, Jonas Koehler, and Max Welling

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds do Carmo.Riemannian Geometry

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Thomas Fletcher and Sarang Joshi

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds A Lower Bound for Estimating Fr\'echet Means

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Springer Series in Statistics

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds American Mathematical Society, 2001

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds A Series of Modern Surveys in Mathematics

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Lee.Riemannian Manifolds: An Introduction to Curvature, volume 176 of Graduate Texts in Mathematics

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Mean estimation and regression under heavy-tailed distributions: A survey.Foundations of Computational Mathematics, 19(5):1145–1190, 2019

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds A Riemannian framework for tensor computing.International Journal of Computer Vision, 66(1):41–66, 2006

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This paper cites Optimum bounds for the distributions of martingales in Banach spaces.The Annals of Probability, 22(4):1679–1706, 1994.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Optimum bounds for the distributions of martingales in Banach spaces.The Annals of Probability, 22(4):1679–1706, 1994

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Pullback Bundles and the Geometry of Learning.Entropy, 25(10): 1450, 2023

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems, 2026

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Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Probability measures on metric spaces of nonpositive curvature

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:ea26116c38b8df771bf27b1325fd6bb148baacfd140951f92a736f1469c30722

Observation 11ce7ba0-ea1d-445f-9505-24f6a392b71a · outbound

This paper cites Tsybakov.Introduction to Nonparametric Estimation.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Tsybakov.Introduction to Nonparametric Estimation

Reference 39

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:88d0c5492be222f5eee0cd5bd7cd44513c047cd4374e2f924e9919be950f3700

Observation 2fe981c0-341b-40a8-a5cf-d0062c69e2e2 · outbound

This paper cites A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis.SIAM Journal on Imaging Sciences, 17(3):1433–1466, 2024.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis.SIAM Journal on Imaging Sciences, 17(3):1433–1466, 2024

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:1bcef418dc458f8b747aacd4ca04dbe7cfd30920fe51af67a706d998d0eb157e

Observation 2b1321d5-280e-481d-a949-f216afccfea9 · outbound

This paper cites Exponential concentration for geometric-median-of-means in non-positive curvature spaces.Bernoulli, 29(4):2927–2960, 2023.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Exponential concentration for geometric-median-of-means in non-positive curvature spaces.Bernoulli, 29(4):2927–2960, 2023

Reference 41

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:9d04b27b5e8e45495acdb3b26ff16e4d4d6c244e78fda9cafcd50cddaf1de13f

Observation 630db2bf-6d35-4454-8f75-1a42b988df54 · outbound

This paper cites an unresolved cited work.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Unresolved cited work

Reference 42

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:3a9eab5169a1b8c0058a483d0291c743118eb34dbb2ae160790d1557f538890e

Observation 05e0e6ae-e3a7-44a1-987b-339c37409397 · outbound

This paper cites Assumption A2(Uniform boundedness; cf.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Assumption A2(Uniform boundedness; cf

Reference 43

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:bb157238a5ccef90e57a2858dd15ddd2894c2989b5fe348ef5b8eee7eef5c3f8

Observation 70facd8c-378f-4f60-915a-ed68d90907be · outbound

This paper cites , Yn are independent copies of Y and we set ξi :=Y i −E[Y i], then ∥ξi∥Ex0 ≤2B almost surely.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds , Yn are independent copies of Y and we set ξi :=Y i −E[Y i], then ∥ξi∥Ex0 ≤2B almost surely

Reference 44

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:925af074da8796b215e6aade823c5260e70ca4c25c07f4022fcbe5df1f5c1fd9

Observation 9ad6b311-47da-4812-9fe4-25fcca687afa · outbound

This paper cites This yields a valid concentration bound, but with an additional multiplicative factor that depends on the net cardinality (hence, dimension-dependent constants).

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds This yields a valid concentration bound, but with an additional multiplicative factor that depends on the net cardinality (hence, dimension-dependent constants)

Reference 45

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:7414fbff3cb8f976701ff711301b50e0a2ba9016d4d57b8f3fd71ae14f9fda33

Observation 5be138f5-8a4c-4bf2-821d-8d0c6ed568aa · outbound

This paper cites Theorem 6 achieves a dimension-free prefactor by invoking the Hilbert-space inequality of Pinelis [31].

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Theorem 6 achieves a dimension-free prefactor by invoking the Hilbert-space inequality of Pinelis [31]

Reference 46

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:28dd95849aa876847d5a4542a84a9730117da2736266ca27d7cf0cf26db54477

Observation 30cb177a-d4ba-406c-83cf-a72826297fed · outbound

This paper cites Fixx, x 0 ∈U.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Fixx, x 0 ∈U

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:f702ddd398180fba3733c2492901e81f494789c63a3f2b3b1a382bed2cdb4c3d

Observation b4b74c76-7c69-4dce-b95f-584e8cf33039 · outbound

This paper cites This path leads to functional-analytic subtleties (the measurability of sections and operator- valued kernels).

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds This path leads to functional-analytic subtleties (the measurability of sections and operator- valued kernels)

Reference 48

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:b4046ff420107ed39af6f044a1947faf6c10b430849d98c7958f2d0b7e2e3484

Observation 64c49378-7eaf-4934-a0b3-bd7285e1cb88 · outbound

This paper cites an unresolved cited work.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Unresolved cited work

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:06b56cb739ea83e421b0bf447e747cf55f5a49f73bf24722ee4573d76991a6f0

Observation 68d91d10-57a3-4964-8867-a8d5c0cda138 · outbound

This paper cites For dimension-free optimal constants, one should use the full strength of Pinelis’ inequalities for martingales in Banach spaces as in [31].

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds For dimension-free optimal constants, one should use the full strength of Pinelis’ inequalities for martingales in Banach spaces as in [31]

Reference 50

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:b48cb65185a4b86077eddddcb0e9348ac920828c399546997acac72665d1e07f

Observation 0494749e-6fab-4136-b532-66887f904edf · outbound

This paper cites Stochastic regime.Construct s0, s1 ∈ S B differing only in mean by δsto :=B/ √n, e.g., take s1(x) =s 0(x) + (δsto/B)P x0→xw for a fixed unit vector w∈E x0 chosen orthogonal to v.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Stochastic regime.Construct s0, s1 ∈ S B differing only in mean by δsto :=B/ √n, e.g., take s1(x) =s 0(x) + (δsto/B)P x0→xw for a fixed unit vector w∈E x0 chosen orthogonal to v

Reference 51

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:c50f28134f3e80850d72bf72577162fd58563787616f168b9d02adf8c3a2312f

Observation acd3a632-e99f-4247-8dc3-d205b728ad4c · outbound

This paper cites Combining.Since the two pairs (s0, s1) are drawn from SB independently of each other, both lower bounds hold simultaneously for the worst-case risk over SB.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Combining.Since the two pairs (s0, s1) are drawn from SB independently of each other, both lower bounds hold simultaneously for the worst-case risk over SB

Reference 52

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:99dbb5f1228664eb40af934bda9873f2d56ffb2559d31c2c74785a4df074e77a

Observation 6c2e5917-8639-47b7-b75d-32760aad130b · outbound

This paper cites an unresolved cited work.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds Unresolved cited work

Reference 53

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:d46d2098112740ecc02c3fde85c757528648cf42a87fa42c5b058c1852b556bd

Observation 100fb788-b952-4fa6-b6b3-a5ac6607a39c · outbound

This paper cites holonomy ambiguity.

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds holonomy ambiguity

Reference 54

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-14T10:37:11.137176Z digest=sha256:813cd2a0254844d5f652aa46e49b2d5ec0cc6f191c59715fb25591861fb0f41d

Pith citing papers

No inbound Pith citation observations are available.