Paper Citation Record · LEDGER

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2606.22301.

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

pith.paper-citation-record.v1
2606.22301 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:13:55.432853Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:59:03.310622Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact3
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b93bb7b-b7c0-4f96-b721-70a2882defaa · outbound

This paper cites an unresolved cited work.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e38e9c69-a7eb-4ab0-9429-e0d1f1cc175b · outbound

This paper cites El Gamal and Y .-H.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks El Gamal and Y .-H

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58e8fae-e2cc-4e1d-a287-f056eec8e2f4 · outbound

This paper cites Capacity of multi-antenna Gaussian channels,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Capacity of multi-antenna Gaussian channels,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d0d81e4-b382-47ba-974c-3198c1f0de68 · outbound

This paper cites Gradient of mutual information in linear vector Gaussian channels,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Gradient of mutual information in linear vector Gaussian channels,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e69346b3-f8bd-4e18-9a9f-575e50ed245e · outbound

This paper cites Multiaccess fading channels—Part I: Polymatroid structure, optimal resource allocation, and throughput capacities,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Multiaccess fading channels—Part I: Polymatroid structure, optimal resource allocation, and throughput capacities,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12261d30-aa82-4a57-b457-b5bb6f8fafe0 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks PyTorch: An imperative style, high-performance deep learning library,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 809225df-8c8c-4feb-88bc-448ed082c176 · outbound

This paper cites A new achievable rate region for the interference channel,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks A new achievable rate region for the interference channel,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b554f98-a204-44f5-891f-ff1cbd0bfdfd · outbound

This paper cites Capacity theorems for the relay channel,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Capacity theorems for the relay channel,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184f4d83-1403-45b5-a3fa-4b5ea32dbe5b · outbound

This paper cites On the achievable throughput of a multiantenna Gaussian broadcast channel,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks On the achievable throughput of a multiantenna Gaussian broadcast channel,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d43e344-e34c-4a12-adbf-f07629d941b2 · outbound

This paper cites Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:19:43.525428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3be956a4-24b2-4d83-9067-873c2a77b764 · outbound

This paper cites Information gradient for directed acyclic graphs: A score-based framework for end-to-end mutual information maximization,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Information gradient for directed acyclic graphs: A score-based framework for end-to-end mutual information maximization,

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:19:43.529031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06291b3c-0dd5-4724-b070-1ebe08362e66 · outbound

This paper cites Mutual information neural estimation,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Mutual information neural estimation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de31099-9d1f-44f0-af68-0b9ba0a667c2 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Representation Learning with Contrastive Predictive Coding

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:19:43.531895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41b131eb-1aab-4125-abb8-15f7b88edaaf · outbound

This paper cites Automatic differentiation in machine learning: A survey,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Automatic differentiation in machine learning: A survey,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fe436c0-1315-4c89-99d0-39f4c4cbd1d1 · outbound

This paper cites an unresolved cited work.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c28c14-65f8-49c0-a5ab-27f57bfe6a95 · outbound

This paper cites Gaussian influence diagrams,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Gaussian influence diagrams,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef755ea5-0e73-4b1f-bb61-792c45ea5347 · outbound

This paper cites Learning Gaussian networks,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Learning Gaussian networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4be3e67-0c72-4866-9db5-650380eeea3b · outbound

This paper cites Trek separation for Gaussian graphical models,.

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks Trek separation for Gaussian graphical models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T10:13:55.432853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a5a378d4-40ac-4eb3-bb34-482b1c94c1ff · inbound

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks cites this paper.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T16:59:03.310622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.