Paper Citation Record · LEDGER

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.05368.

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

pith.paper-citation-record.v1
1908.05368 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:28:22.305492Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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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

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 883b6237-14c7-4a2f-96e4-fdce54eb0b9f · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , " * write output.state after.block = add.period write newline

Reference 1

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This paper cites write newline.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis write newline

Reference 2

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Observation c7b90df3-622a-4bbb-80a8-900494bbd566 · outbound

This paper cites , Lapanowski, A.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Lapanowski, A

Reference 3

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Observation 26ab62fe-d50b-4683-bd0c-fbc9e1f9308b · outbound

This paper cites and Valiant, L.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Valiant, L

Reference 4

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Observation 40d51d91-75e3-4a06-a030-fa24d710e156 · outbound

This paper cites Why are deep nets reversible: A simple theory, with implications for training.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Why are deep nets reversible: A simple theory, with implications for training

Reference 5

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Observation 2d7aaef0-cb18-4830-bc90-0127714c8bf5 · outbound

This paper cites The spiked matrix model with generative priors.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis The spiked matrix model with generative priors

Reference 6

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Observation d2b16845-daa4-4654-96a8-9018487ccfc8 · outbound

This paper cites Compressed Sensing using Generative Models.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Compressed Sensing using Generative Models

Reference 7

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Observation b677a818-c091-4b86-babb-e7be8e709c77 · outbound

This paper cites Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing

Reference 8

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This paper cites Robust one-bit compressed sensing with partial circulant matrices.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Robust one-bit compressed sensing with partial circulant matrices

Reference 9

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Observation dc6cc808-8e94-44cf-9919-44280ceb7ef2 · outbound

This paper cites Towards Understanding the Invertibility of Convolutional Neural Networks.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Towards Understanding the Invertibility of Convolutional Neural Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:28:22.757743Z

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Observation 0bac813c-9386-4823-81e4-cb52b5f366c2 · outbound

This paper cites , Minsker, S.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Minsker, S

Reference 11

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Observation 5b135cf8-520b-42f8-9d9b-074791b6f47e · outbound

This paper cites and Wei, X.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Wei, X

Reference 12

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Observation 79449122-8079-413d-ba0b-fbdd80366599 · outbound

This paper cites , Klatzer, T.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Klatzer, T

Reference 13

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Observation f09b9834-c604-44c9-bb1b-0b1c9edd8517 · outbound

This paper cites Global Guarantees for Blind Demodulation with Generative Priors.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Global Guarantees for Blind Demodulation with Generative Priors

Reference 14

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Observation e427a324-06cf-44a1-bac9-ae95c0353e7e · outbound

This paper cites , Leong, O.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Leong, O

Reference 15

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Observation f52a833e-9a93-4f33-bde5-7a5ab6d625ac · outbound

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Voroninski, V

Reference 16

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Observation 6ca3eaf0-5ba0-4762-b725-aaa1984413a6 · outbound

This paper cites A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors

Reference 17

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Observation 73b05127-9308-476f-95a8-9f083154daee · outbound

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Laska, J

Reference 18

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Observation 8eb0034e-1e53-4b07-a535-dd0eb1fc2a2a · outbound

This paper cites Lower Bounds for Compressed Sensing with Generative Models.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Lower Bounds for Compressed Sensing with Generative Models

Reference 19

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Theis, L

Reference 20

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Observation 63c065ed-0277-4efd-b079-5deb79c90a17 · outbound

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Geometric Understanding of Deep Learning

Reference 21

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Observation 73f2f1d2-bd4d-44bc-b438-8c7b0437f5f8 · outbound

This paper cites Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models

Reference 22

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Observation 60601839-5b04-43a3-aefa-af37baabd44d · outbound

This paper cites , Krzakala, F.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Krzakala, F

Reference 23

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Observation cd7d66a2-1532-40ae-a9bf-c3d168abd265 · outbound

This paper cites , Sahraee-Ardakan, M.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Sahraee-Ardakan, M

Reference 24

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This paper cites and Vershynin, R.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Vershynin, R

Reference 25

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This paper cites and Vershynin, R.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Vershynin, R

Reference 26

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Vershynin, R

Reference 27

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Amortised MAP Inference for Image Super-resolution

Reference 28

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization

Reference 29

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Yang, Z

Reference 30

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 31

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 32

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Observation 004e64bf-3358-4f4f-ab4a-b09511fd223d · outbound

This paper cites Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering

Reference 33

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 34

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 35

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 36

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Gu, Q

Reference 37

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