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Paper Citation Record · LEDGER

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.17232.

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pith.paper-citation-record.v1
2607.17232 v1

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measured 50 of 50 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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50 of 50 outbound references displayed

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Outbound references

Observation 78d42c63-fb10-4a96-89fa-a57f9380025e · outbound

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

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Coding theorems for a discrete source with a fidelity criterion,

Reference 1

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Observation 74106504-1b10-48c9-90aa-6637cf937d1a · outbound

This paper cites Rethinking lossy compression: The rate-distortion-perception tradeoff,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Rethinking lossy compression: The rate-distortion-perception tradeoff,

Reference 2

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This paper cites Semantics-empowered com- munication for networked intelligent systems,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Semantics-empowered com- munication for networked intelligent systems,

Reference 3

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This paper cites Goal-oriented and semantic communication in 6G AI-native networks: The 6G-GOALS approach,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Goal-oriented and semantic communication in 6G AI-native networks: The 6G-GOALS approach,

Reference 4

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Observation ab5400c2-3380-4aee-b3d0-d70e5f6b66e0 · outbound

This paper cites A survey of recent results in networked control systems,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation A survey of recent results in networked control systems,

Reference 5

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This paper cites Optimal neural compressors for the rate-distortion-perception tradeoff,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Optimal neural compressors for the rate-distortion-perception tradeoff,

Reference 6

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Observation a6bfeea8-3586-4cce-b3cd-92bc49ae4a35 · outbound

This paper cites Rate–distortion–perception trade-off in information theory, generative models, and intelligent communications,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Rate–distortion–perception trade-off in information theory, generative models, and intelligent communications,

Reference 7

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Observation e875b8e4-b62f-4f88-aa0c-823d223f816b · outbound

This paper cites Information compression in the AI era: Recent advances and future challenges,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Information compression in the AI era: Recent advances and future challenges,

Reference 8

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Observation 293138fd-4731-4735-9bac-b3006227038d · outbound

This paper cites Introducing the perception-distortion tradeoff into the rate-distortion theory of general information sources,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Introducing the perception-distortion tradeoff into the rate-distortion theory of general information sources,

Reference 9

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This paper cites Rate-distortion-perception tradeoff of variable-length source coding for general information sources,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Rate-distortion-perception tradeoff of variable-length source coding for general information sources,

Reference 10

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This paper cites an unresolved cited work.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Unresolved cited work

Reference 11

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Observation c7f2cd25-d587-430b-9e64-5b1796c3c7c0 · outbound

This paper cites A coding theorem for the rate- distortion-perception function,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation A coding theorem for the rate- distortion-perception function,

Reference 12

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This paper cites Strong functional representation lemma and applications to coding theorems,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Strong functional representation lemma and applications to coding theorems,

Reference 13

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Observation 83d621e0-e1c7-4cd7-8e8a-6fdc0967dba1 · outbound

This paper cites On the rate-distortion-perception function,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation On the rate-distortion-perception function,

Reference 14

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This paper cites Output constrained lossy source coding with limited common randomness,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Output constrained lossy source coding with limited common randomness,

Reference 15

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Observation 4a5ced55-c564-44fb-b0b3-ff45040a4066 · outbound

This paper cites The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness

Reference 16

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This paper cites Output-constrained lossy source coding with application to rate-distortion-perception theory,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Output-constrained lossy source coding with application to rate-distortion-perception theory,

Reference 17

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Observation a2d3386f-8def-42f0-8545-18806619e48d · outbound

This paper cites Gaus- sian rate–distortion–perception coding and entropy-constrained scalar quantization,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Gaus- sian rate–distortion–perception coding and entropy-constrained scalar quantization,

Reference 18

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Observation d5c8e664-1601-47de-b056-88231855047e · outbound

This paper cites Rate-distortion-perception theory for the quadratic Wasserstein space,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Rate-distortion-perception theory for the quadratic Wasserstein space,

Reference 19

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Observation c7002cad-488b-4995-b537-78984af05845 · outbound

This paper cites On measures of entropy and information,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation On measures of entropy and information,

Reference 20

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Observation 70511168-b38f-4c86-b403-645426a2c385 · outbound

This paper cites Information theory and statistics: A tutorial,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Information theory and statistics: A tutorial,

Reference 21

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Observation c5acf65c-dbfb-431a-bbbb-18391ff03be1 · outbound

This paper cites Onf-divergences: Integral representations, local behavior, and inequalities,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Onf-divergences: Integral representations, local behavior, and inequalities,

Reference 22

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Observation a18b7d9f-24a6-4f1d-a598-92e4c12e75fa · outbound

This paper cites Information geometry and al- ternating minimization procedures,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Information geometry and al- ternating minimization procedures,

Reference 23

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Observation e3043435-1c42-42d7-8353-7154f2642c83 · outbound

This paper cites Yeung,Information theory and network coding.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Yeung,Information theory and network coding

Reference 24

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Observation 8c8570c7-7943-4586-816a-55430dbb7a1a · outbound

This paper cites On the convergence of the block nonlinear Gauss–Seidel method under convex constraints,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation On the convergence of the block nonlinear Gauss–Seidel method under convex constraints,

Reference 25

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Observation b0476603-a555-4d44-acae-58438c2cf8e7 · outbound

This paper cites An algorithm for computing the capacity of arbitrary discrete memoryless channels,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation An algorithm for computing the capacity of arbitrary discrete memoryless channels,

Reference 26

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Observation 85ec46c0-34b6-475e-a1a3-64f4fcc68af1 · outbound

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

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Computation of channel capacity and rate- distortion functions,

Reference 27

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Observation 7b59e666-ba31-4c47-875e-1aeb895f2cb6 · outbound

This paper cites Alternating minimization schemes for computing rate-distortion-perception functions with f-divergence perception constraints,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Alternating minimization schemes for computing rate-distortion-perception functions with f-divergence perception constraints,

Reference 28

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This paper cites an unresolved cited work.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Unresolved cited work

Reference 29

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Observation 21f616d1-e600-4806-9712-721f5b91bd0c · outbound

This paper cites A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations,

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Observation ab3b5f00-8f3b-4d60-97f6-7a277bd7d35c · outbound

This paper cites Amari,Differential geometric methods in statistics.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Amari,Differential geometric methods in statistics

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Observation 80a4ebd5-fb09-4b94-b931-7d147d1569d0 · outbound

This paper cites Analyzingα-divergence in Gaussian rate-distortion-perception theory,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Analyzingα-divergence in Gaussian rate-distortion-perception theory,

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Observation 2876f482-fe83-4f0a-b795-e403aa24fc34 · outbound

This paper cites On the computa- tion of the Gaussian rate-distortion-perception function,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation On the computa- tion of the Gaussian rate-distortion-perception function,

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Observation 081a6c65-35e3-47ae-9ac2-23e9273d3504 · outbound

This paper cites Universal rate- distortion-perception representations for lossy compression,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Universal rate- distortion-perception representations for lossy compression,

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Observation c5c3840e-2cd9-496a-897a-6cf53666c0c5 · outbound

This paper cites Zamir,Lattice Coding for Signals and Networks: A Struc- tured Coding Approach to Quantization, Modulation and Mul- tiuser Information Theory.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Zamir,Lattice Coding for Signals and Networks: A Struc- tured Coding Approach to Quantization, Modulation and Mul- tiuser Information Theory

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Observation f49e260c-0d8c-4440-b1ea-08444847b97d · outbound

This paper cites Berger,Rate Distortion Theory: A Mathematical Basis for Data Compression.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Berger,Rate Distortion Theory: A Mathematical Basis for Data Compression

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Observation 3967940d-89ad-4d27-9c4a-b6a299bb5736 · outbound

This paper cites Asymptotic reverse wa- terfilling algorithm of NRDF for certain classes of vec- tor Gauss–Markov processes,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Asymptotic reverse wa- terfilling algorithm of NRDF for certain classes of vec- tor Gauss–Markov processes,

Reference 37

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Observation 73409e7d-2c69-4f93-8d21-545f6e7d5477 · outbound

This paper cites Rate-distortion-perception tradeoff for Gaussian vector sources,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Rate-distortion-perception tradeoff for Gaussian vector sources,

Reference 38

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Observation 2269111b-1561-446b-b4f0-045295cd89a2 · outbound

This paper cites Copula-based estimation of continuous sources for a class of constrained rate-distortion functions,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Copula-based estimation of continuous sources for a class of constrained rate-distortion functions,

Reference 39

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Observation 9c7d0d75-576f-4990-a1f8-41594cfd59e9 · outbound

This paper cites Generalizations of talagrand inequality for Sinkhorn distance using entropy power inequality,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Generalizations of talagrand inequality for Sinkhorn distance using entropy power inequality,

Reference 40

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Observation 62a700bb-f875-45b9-8cd3-f3df854b72d8 · outbound

This paper cites Copula theory: An introduction,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Copula theory: An introduction,

Reference 41

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Observation 9345c210-b39f-433c-bcb3-465f4cf3652d · outbound

This paper cites I-Divergence Geometry of Probability Distributions and Minimization Problems,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation I-Divergence Geometry of Probability Distributions and Minimization Problems,

Reference 42

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Observation 70b77817-c92e-4063-a5c3-4a38309c2849 · outbound

This paper cites Computation of rate-distortion-perception functions with Wasserstein barycenter,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Computation of rate-distortion-perception functions with Wasserstein barycenter,

Reference 43

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Observation 7b622b46-0188-42ba-8082-7c7c5d0a8f71 · outbound

This paper cites A convergent primal- dual algorithm for computing rate-distortion-perception func- tions,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation A convergent primal- dual algorithm for computing rate-distortion-perception func- tions,

Reference 44

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source=pdf_text observed=2026-08-01T18:44:42.127670Z digest=sha256:40b5b36c59735bbca8b6c98904ca8185fa7a9f58b1a976ff5532e91ad6573cb1

Observation db71b21f-925c-4990-8caf-4fbc41550e0d · outbound

This paper cites Computation and critical transitions of rate-distortion-perception functions with Wasserstein barycenter,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Computation and critical transitions of rate-distortion-perception functions with Wasserstein barycenter,

Reference 45

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source=pdf_text observed=2026-08-01T18:44:42.250838Z digest=sha256:3a97c10d1a6ef4e8fb0fa16ca53080c9d7146364b919c47bb28d0587cccedc63

Observation de03542e-318d-4911-8e37-ddd79661847c · outbound

This paper cites El Gamal and Y .-H.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation El Gamal and Y .-H

Reference 46

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Observation 9dd2c20d-a0f4-4df3-861d-dfd53dc501da · outbound

This paper cites A universal algorithm for sequential data compression,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation A universal algorithm for sequential data compression,

Reference 47

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source=pdf_text observed=2026-08-01T18:44:42.404774Z digest=sha256:2a92fc525c49021ae53565e333ba36b52a78c876fcd883bb90a035e55810e6f1

Observation fc33e58c-8fc8-4482-a920-5aef1b9126a2 · outbound

This paper cites Simple Universal Lossy Data Com- pression Schemes derived from the Lempel-Ziv Algorithm,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation Simple Universal Lossy Data Com- pression Schemes derived from the Lempel-Ziv Algorithm,

Reference 48

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Observation 7f8a354e-4515-4082-ab3d-06532c844886 · outbound

This paper cites The Rate Distortion Function for a Class of Sources,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation The Rate Distortion Function for a Class of Sources,

Reference 49

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Observation f5935f52-055d-4f88-966a-14f702cd685e · outbound

This paper cites On distributionally robust lossy source coding,.

Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation On distributionally robust lossy source coding,

Reference 50

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