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Paper Citation Record · LEDGER

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.01241.

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pith.paper-citation-record.v1
1908.01241 v4

Coverage vector

measured 30 of 30 reference resolution

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measured 30 of 30 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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External citation measurements

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Outbound references

Observation 46f7f32e-ca76-46d4-9e76-e8c98da0d6ec · outbound

This paper cites Noisy tensor completion via the sum-of-squares hierarchy.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Noisy tensor completion via the sum-of-squares hierarchy

Reference 1

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This paper cites A New Sampling Technique for Tensors.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering A New Sampling Technique for Tensors

Reference 2

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Observation e6a3d6f2-a989-400b-9535-1b9a6deb619e · outbound

This paper cites Thy friend is my friend: Iterative collaborative filtering for sparse matrix estimation.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Thy friend is my friend: Iterative collaborative filtering for sparse matrix estimation

Reference 3

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Observation cd6e6909-1244-4dd2-8263-2f10a86c7f7b · outbound

This paper cites Exact matrix completion via convex optimization.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Exact matrix completion via convex optimization

Reference 4

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Observation 61649f04-e05e-45ee-a075-d87b70a500f3 · outbound

This paper cites Matrix completion with noise.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Matrix completion with noise

Reference 5

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Observation af6bea67-9e23-4bc6-aef6-1b63c39abe0f · outbound

This paper cites The power of convex relaxation: Near-optimal matrix completion.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering The power of convex relaxation: Near-optimal matrix completion

Reference 6

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Observation 1edecf91-feb2-46fb-a819-6d1eee1481b0 · outbound

This paper cites Matrix estimation by universal singular value thresholding.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Matrix estimation by universal singular value thresholding

Reference 7

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Observation 6f2dce2b-f10d-430a-9835-eede1f1d9f16 · outbound

This paper cites Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees

Reference 8

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Observation e91db11d-54bf-4da5-8325-572c14c6e1b2 · outbound

This paper cites Nuclear Norm of Higher-Order Tensors.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Nuclear Norm of Higher-Order Tensors

Reference 9

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Observation 5bb54d4f-3ca1-4042-9666-fba5252d0112 · outbound

This paper cites Tensor completion and low-n-rank tensor recovery via convex optimization.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Tensor completion and low-n-rank tensor recovery via convex optimization

Reference 10

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Observation c2c37f4a-a2eb-4b41-8284-a6c380dfc073 · outbound

This paper cites Matrix completion has no spurious local minimum.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Matrix completion has no spurious local minimum

Reference 11

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Observation 6aa402cf-4d32-4bc7-9397-700128fc9d7c · outbound

This paper cites Oki, and Douglas Terry.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Oki, and Douglas Terry

Reference 12

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This paper cites Understanding alternating minimization for matrix completion.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Understanding alternating minimization for matrix completion

Reference 13

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Observation 1bb03699-44ef-4dbe-b9f2-9686ff4bf795 · outbound

This paper cites Hoeffding.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Hoeffding

Reference 14

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Observation 0ea4c11c-ff14-4c3f-b698-74d878e7e429 · outbound

This paper cites Low-rank matrix completion using alternating minimization.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Low-rank matrix completion using alternating minimization

Reference 15

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Observation 6e2e5c3b-2636-4465-820b-74a42d2478b0 · outbound

This paper cites Provable tensor factorization with missing data.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Provable tensor factorization with missing data

Reference 16

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This paper cites Matrix completion from a few entries.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Matrix completion from a few entries

Reference 17

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Observation 9c2fb5d4-db25-4447-8f26-12ac055d387a · outbound

This paper cites Matrix completion from noisy entries.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Matrix completion from noisy entries

Reference 18

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Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Unresolved cited work

Reference 19

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Observation 06e9afd8-b9ce-489d-aaa6-9669b06dcb4e · outbound

This paper cites Tensor completion for estimating missing values in visual data.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Tensor completion for estimating missing values in visual data

Reference 20

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Observation dcd174d9-8075-4e4c-a2f7-48d2197825ce · outbound

This paper cites Spectral regularization algorithms for learning large incomplete matrices.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Spectral regularization algorithms for learning large incomplete matrices

Reference 21

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This paper cites Spectral algorithms for tensor completion.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Spectral algorithms for tensor completion

Reference 22

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This paper cites Estimation of (near) low-rank matrices with noise and high-dimensional scaling.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Estimation of (near) low-rank matrices with noise and high-dimensional scaling

Reference 23

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This paper cites Exact tensor completion with sum-of-squares.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Exact tensor completion with sum-of-squares

Reference 24

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This paper cites A simpler approach to matrix completion.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering A simpler approach to matrix completion

Reference 25

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Observation f934af78-0f9d-4a99-8d82-a88a24e0052a · outbound

This paper cites Guaranteed matrix completion via non-convex factorization.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Guaranteed matrix completion via non-convex factorization

Reference 26

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Source-reported events for the cited work

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Observation 9a759e89-acd3-43e2-9ced-e7cb9fec283d · outbound

This paper cites Estimation of low-rank tensors via convex optimization.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Estimation of low-rank tensors via convex optimization

Reference 27

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Unavailable: canonical work link unavailable.

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This paper cites Statistical performance of convex tensor decomposition.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Statistical performance of convex tensor decomposition

Reference 28

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 35f973ec-6682-49be-80e5-97a073490f66 · outbound

This paper cites High-dimensional statistics: A non-asymptotic viewpoint , volume 48.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering High-dimensional statistics: A non-asymptotic viewpoint , volume 48

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 15331cbf-4d6a-4de6-b0e9-a6ccc3f8de36 · outbound

This paper cites On tensor completion via nuclear norm minimization.

Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering On tensor completion via nuclear norm minimization

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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