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Paper Citation Record · LEDGER

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks

As of 22 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2606.06982.

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

pith.paper-citation-record.v1
2606.06982 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:10:58.269054Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 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: pith, observed 2026-07-04T09:19:43.523854Z

Reference resolution

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d68662cb-a58e-4b14-906b-a860f5db4bc2 · outbound

This paper cites an unresolved cited work.

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:1a96c01fb6c0d4165d76cb5fe9cd13187d64e99a4f5559643fd7b0a4f9240dad

Observation adfbca3f-137d-44e2-8d38-ab736424cb0f · outbound

This paper cites an unresolved cited work.

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:1d98ba4b5978fa354e1fd6fcfafb8e12cc1cf95795262242f91014963df2d0eb

Observation f932b9ad-6498-4d7b-a0a3-5c77c425128e · outbound

This paper cites Tse and P.

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Tse and P

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:bd553dd118af90e6295762f87a8f2057f5d1d25009ebf2e9bfeb5930660a7ae4

Observation 3c9388e7-9e53-4e28-a296-3845ba30a864 · outbound

This paper cites El Gamal and Y .-H.

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks El Gamal and Y .-H

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:0add8c9b620958c1c1bcc8a65ede916db20c891116951eafedd63bf11f7b17c9

Observation 1bb4c903-4857-421f-a43c-b2c3addbc9b2 · outbound

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

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Information gradient for directed acyclic graphs: A score-based framework for end-to-end mutual information maximization,

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:57:20.017900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:9b86a21bcf0dc6b7314666ceb6bbf2b8a3a79aff59ff11c7858988143185261c

Observation 149e5667-f92a-4e22-acf6-118a84491cf7 · outbound

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

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Gradient of mutual information in linear vector Gaussian channels,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:3f622bfadad57304c3c717b79af6e15f1d4dee698f9463417a1d15f344bf9858

Observation 230b0bb8-0fde-4c7b-b873-18c3fb452d20 · outbound

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

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Capacity of multi-antenna Gaussian channels,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:0618d057e41a86b636caf03c35f628e5f9c45bcba3a19e99a5e74c2498695fbc

Observation 5462abea-4180-4988-a3b0-231928dde590 · outbound

This paper cites Mutual information neural estimation,.

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Mutual information neural estimation,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:99fffb97e54006184dfea9f7b3c5dedd3ddee099ec2068de9e93cd7b84f9ca60

Observation b36a0dec-51f0-432c-8989-53f7960bfbd9 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Representation Learning with Contrastive Predictive Coding

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T19:57:20.015271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:01958e42800c52230e1dbbb412b459690c350fd68df4f81fe5d79162659c6037

Observation 1b5a90a0-da92-4789-a8a6-6f7886b8bb45 · outbound

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

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks PyTorch: An imperative style, high-performance deep learning library,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:e9bf2a10b7a71c7ecdccf4a805beaee14449822b87f5d2096063cbb7d95ac756

Observation a86795fd-c119-43fa-810d-ab0a945185dc · outbound

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

Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks Automatic differentiation in machine learning: a survey,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T21:10:58.269054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:10:58.269054Z digest=sha256:e743a4bf8fe2a8024bfec9648934e22121f8bfc0bffed2462d8d8e7201b0e062

Pith citing papers

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

Differentiable Conditional Mutual Information for Multi-Terminal Linear Gaussian Wireless Networks cites this paper.

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T10:13:55.432853Z digest=sha256:c1a76c6aaabb98f370f9a4b21abeec26e715f02b095620d61407e8e4f7442dd7

Observation ba5812df-2f54-4e35-b6ee-01214c2875e3 · inbound

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

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Mutual Information Optimization via K-Recursion and Automatic Differentiation for Linear Gaussian Wireless Networks

Reference 1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T16:59:03.310622Z digest=sha256:2b0ae6850eded9559ed2edabe7a6ed6fd07a5ec7784c26bc41ca0f82f73a32fb