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Paper Citation Record · LEDGER

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems

As of 6 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.05417.

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

pith.paper-citation-record.v1
2607.05417 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T11:40:33.734051Z

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

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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Reference resolution

45 of 45 outbound references displayed

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Outbound references

Observation dff54fd6-57b1-4e01-9457-1ae2fc33dd2a · outbound

This paper cites Coding theorems for a discrete source with a fidelity criterion,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Coding theorems for a discrete source with a fidelity criterion,

Reference 1

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Observation 0ef6ac53-3979-4d69-b790-f5293d9e7e88 · outbound

This paper cites The information bottleneck method,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems The information bottleneck method,

Reference 2

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Observation 8687d20e-1572-471a-8dd1-3e4ce16889ad · outbound

This paper cites Information transmission with addi- tional noise,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Information transmission with addi- tional noise,

Reference 3

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Observation ebb64599-6c56-49ee-94e1-b70663d548c6 · outbound

This paper cites End-to-end optimized image compression,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems End-to-end optimized image compression,

Reference 4

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Observation 84b8c617-058e-48b2-b68d-f6d00aa52848 · outbound

This paper cites Deep learning and the information bot- tleneck principle,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Deep learning and the information bot- tleneck principle,

Reference 5

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Observation ce754e52-b212-4442-af0c-1acd4344a5cf · outbound

This paper cites Computation of channel capacity and rate-distortion func- tions,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Computation of channel capacity and rate-distortion func- tions,

Reference 6

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Observation 2ac9e28f-caf2-490b-a0cb-e6282912dc6e · outbound

This paper cites An algorithm for computing the capacity of arbitrary dis- crete memoryless channels,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems An algorithm for computing the capacity of arbitrary dis- crete memoryless channels,

Reference 7

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Observation ad736afb-2e30-42ae-a397-050639fab312 · outbound

This paper cites Bregman divergence based EM algorithm and its applica- tion to classical and quantum rate distortion theory,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Bregman divergence based EM algorithm and its applica- tion to classical and quantum rate distortion theory,

Reference 8

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Observation b18ba8f1-84f0-4d63-acc5-6de056efc654 · outbound

This paper cites A con- strained BA algorithm for rate-distortion and distortion-rate functions,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems A con- strained BA algorithm for rate-distortion and distortion-rate functions,

Reference 9

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Observation e8589800-d6df-469e-acca-4b13308075a7 · outbound

This paper cites A communi- cation optimal transport approach to the computation of rate distortion functions,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems A communi- cation optimal transport approach to the computation of rate distortion functions,

Reference 10

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Observation bc8a0fd2-f2a5-4373-addf-04073bb46cae · outbound

This paper cites Towards empirical sandwich bounds on the rate-distortion function,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Towards empirical sandwich bounds on the rate-distortion function,

Reference 11

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Observation 302a2c8c-81b2-42dd-9bbd-bc748ae0e733 · outbound

This paper cites Neural estimation of the rate- distortion function with applications to operational source coding,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Neural estimation of the rate- distortion function with applications to operational source coding,

Reference 12

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Observation 19ff15bb-d86d-4a4e-9b46-0c2267e89ae4 · outbound

This paper cites Mutual information neural estimation,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Mutual information neural estimation,

Reference 13

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Observation 0fa5bb5e-fc45-4ccd-80d2-0fc987b8819e · outbound

This paper cites Auto-encoding variational bayes,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Auto-encoding variational bayes,

Reference 14

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Observation 84051066-d5b9-4c6c-b778-17aa3194bfc9 · outbound

This paper cites Generative adversarial nets,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Generative adversarial nets,

Reference 15

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Observation 84382c55-a4bd-4c83-a327-8624e7f3b0de · outbound

This paper cites Beyond normal: On the evaluation of mutual information estimators,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Beyond normal: On the evaluation of mutual information estimators,

Reference 16

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Observation 903fedba-5aad-426b-8acc-ba9e500f5b53 · outbound

This paper cites The information bottleneck problem and its applications in machine learning,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems The information bottleneck problem and its applications in machine learning,

Reference 17

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Observation 21acdb27-ca96-4e74-8b78-0a23a41e2aeb · outbound

This paper cites An introduction to neural data compression,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems An introduction to neural data compression,

Reference 18

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Observation b10022cc-b1bc-456c-b5b2-5275d83bcfb3 · outbound

This paper cites Deep variational information bottleneck,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Deep variational information bottleneck,

Reference 19

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Observation eb8a1b9c-19cc-402e-8573-6c49ecf77222 · outbound

This paper cites Rate distortion via constrained estimated mutual information minimization,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Rate distortion via constrained estimated mutual information minimization,

Reference 20

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Observation 95eaea6e-3e37-494a-9476-a9062619c31d · outbound

This paper cites Adversarial information bottleneck,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Adversarial information bottleneck,

Reference 21

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Observation ee22864f-15f6-4770-9a35-5b1344125747 · outbound

This paper cites Neural estimation of the information bottleneck based on a mapping approach,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Neural estimation of the information bottleneck based on a mapping approach,

Reference 22

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Observation 0e3f74ba-c8fa-481b-be8d-4fb01f5db6de · outbound

This paper cites Data-driven neural estimation of indirect rate-distortion function,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Data-driven neural estimation of indirect rate-distortion function,

Reference 23

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Observation b2b81a48-6c24-492f-a570-7fb5cd525b8d · outbound

This paper cites Rate-distortion theory,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Rate-distortion theory,

Reference 24

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Observation 1605b392-2d27-4bcb-bcc3-ed36ed191679 · outbound

This paper cites Indirect rate distortion problems,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Indirect rate distortion problems,

Reference 25

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Observation 4afbe071-4ef0-49c6-a047-22810af421b0 · outbound

This paper cites Wasserman,All of nonparametric statistics.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Wasserman,All of nonparametric statistics

Reference 26

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Observation c26f73a1-d078-4cad-88d1-9a7be99cab0f · outbound

This paper cites Stochastic backpropaga- tion and approximate inference in deep generative models,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Stochastic backpropaga- tion and approximate inference in deep generative models,

Reference 27

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Observation 05e2a621-4178-4fd2-bc72-beab94240e08 · outbound

This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems beta-V AE: Learning basic visual concepts with a constrained variational framework

Reference 28

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Observation 6010abab-4c3d-48eb-a95e-ee6db47ba122 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems U-net: Convolutional networks for biomedical image segmentation,

Reference 29

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Observation 554716da-057f-49c5-a5d7-6122e68c2357 · outbound

This paper cites Variational inference with normalizing flows,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Variational inference with normalizing flows,

Reference 30

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Observation 92957421-d44a-4044-941d-d08907abe869 · outbound

This paper cites Multi-rate V AE: Train once, get the full rate-distortion curve,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Multi-rate V AE: Train once, get the full rate-distortion curve,

Reference 31

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Observation 8b41dd46-bedf-4752-9cca-d88b9876be5e · outbound

This paper cites Information dropout: Learning optimal rep- resentations through noisy computation,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Information dropout: Learning optimal rep- resentations through noisy computation,

Reference 32

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Observation 793cc835-eb92-4817-9bf9-2854898dc619 · outbound

This paper cites Nonlinear information bottleneck,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Nonlinear information bottleneck,

Reference 33

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Observation 4e08247f-1fa8-43a8-8865-95bfe753690a · outbound

This paper cites Asymptotic evaluation of certain Markov process expectations for large time, I,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Asymptotic evaluation of certain Markov process expectations for large time, I,

Reference 34

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Observation 7cf7482d-6c8a-4deb-b863-ade07f6ef5fe · outbound

This paper cites Source coding, large deviations, and approximate pattern matching,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Source coding, large deviations, and approximate pattern matching,

Reference 35

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Observation 26d9d411-9743-4601-8898-8f720b0f4b89 · outbound

This paper cites A mapping approach to rate-distortion computation and analysis,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems A mapping approach to rate-distortion computation and analysis,

Reference 36

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Observation 538829d0-b67d-479f-acdb-bb88d991d56f · outbound

This paper cites Rate-distortion theory by and for energy-based models,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Rate-distortion theory by and for energy-based models,

Reference 37

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Observation 2191031d-359c-4dd8-ab11-768f95429e78 · outbound

This paper cites Estimating rate-distortion functions using the energy-based model,.

A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Estimating rate-distortion functions using the energy-based model,

Reference 38

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A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Correlation functions and computer simulations,

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A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Caveats for information bottleneck in deterministic scenarios,

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A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems On variational bounds of mutual information,

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A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Denoising diffusion probabilistic models,

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A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Score-based generative modeling through stochastic differen- tial equations,

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A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems Georgii,Gibbs Measures and Phase Transitions

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