Paper Citation Record · LEDGER

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.04578.

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

pith.paper-citation-record.v1
2607.04578 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

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

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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 exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

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

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.

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

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

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.

Observation 30879f5a-94f6-471e-a5f9-ceed4d76f82c · outbound

This paper cites Koller and N.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Koller and N

Reference 3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5468af71-8ed4-43ba-a0a8-7080589331f9 · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9295f5bb-0b85-4a71-b6e3-f38f2ae59ea2 · outbound

This paper cites Gaussian influence diagrams,.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Gaussian influence diagrams,

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758f5c62-8f85-4db4-ad10-8c63c527986c · outbound

This paper cites Learning Gaussian networks,.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Learning Gaussian networks,

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3311ba9c-5834-4132-befa-683ba2d0b90a · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85e5903-067f-4f01-be88-d6124262a475 · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a474cf62-ebfb-4100-b41c-70afc0d505ba · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0098e625-ac50-49e9-8d70-5007d6b0d522 · outbound

This paper cites Maximum likelihood from incomplete data via the EM algorithm,.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Maximum likelihood from incomplete data via the EM algorithm,

Reference 10

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b0e968-7c2c-4601-af9d-4cf57d4ba06c · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 11

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b60c8f8f-82d8-4e37-afec-938ee1b887a9 · outbound

This paper cites Trek separation for Gaussian graphical models,.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Trek separation for Gaussian graphical models,

Reference 12

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d40eb0e-347b-4764-a2bf-789026d4b091 · outbound

This paper cites Drton, B.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Drton, B

Reference 13

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc998e1-a258-4ad1-868b-701ae2e8f7f5 · outbound

This paper cites Amari and H.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Amari and H

Reference 14

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a306ed37-b55e-4752-bac6-3570bf4c6f87 · outbound

This paper cites Watanabe,Algebraic Geometry and Statistical Learning Theory.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Watanabe,Algebraic Geometry and Statistical Learning Theory

Reference 15

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983b89f7-6a1e-4c08-94cf-83d01e677cd8 · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 16

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35551e7e-8895-4e27-b3e3-02296761bb6b · outbound

This paper cites an unresolved cited work.

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks Unresolved cited work

Reference 17

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a29c7a-17ec-4ba6-a070-cc94a6da13c3 · outbound

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

A Differentiable Covariance Calculus for Linear Gaussian Bayesian Networks PyTorch: An imperative style, high-performance deep learning library,

Reference 18

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.