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Paper Citation Record · LEDGER

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.06314.

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

pith.paper-citation-record.v1
2509.06314 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:22:07.805142Z

measured 19 of 19 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

19 of 19 outbound references displayed

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  • verified fuzzy6
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c0fd5fa-9783-44e9-9823-8c2f1e729a2d · outbound

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

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3d95a2f3-0736-4ee0-ba95-3b0f9767708b · outbound

This paper cites Disentangling by factorising,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Disentangling by factorising,

Reference 2

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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.

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Observation efa3a50c-0dd1-4c51-8dde-5da382b5efa0 · outbound

This paper cites Challenging common assumptions in the unsupervised learning of disentangled representations,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Challenging common assumptions in the unsupervised learning of disentangled representations,

Reference 3

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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.

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Observation a1434deb-193b-400e-a8de-f94e42f908b3 · outbound

This paper cites A framework for the quantitative eval- uation of disentangled representations,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix A framework for the quantitative eval- uation of disentangled representations,

Reference 4

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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.

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Observation b19a9c7c-9c4e-44f3-bd08-3c9200dc9f51 · outbound

This paper cites Mutual information neural estimation,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Mutual information neural estimation,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1102b5f3-a31a-4aeb-8ebf-1b63062cd76a · outbound

This paper cites On Mutual Information Maximization for Representation Learning.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix On Mutual Information Maximization for Representation Learning

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 54635301-a00f-493b-951b-689867f7387b · outbound

This paper cites Isolating sources of disentanglement in variational autoencoders,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Isolating sources of disentanglement in variational autoencoders,

Reference 7

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verified fuzzy
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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.

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Observation e0919a79-f081-4898-886d-05ec6284942b · outbound

This paper cites Measuring statistical dependence with hilbert-schmidt norms,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Measuring statistical dependence with hilbert-schmidt norms,

Reference 8

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Unavailable: canonical work link unavailable.

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Observation 4ce36785-0e01-4092-8828-9bc4160afddd · outbound

This paper cites Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

Reference 9

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Unavailable: canonical work link unavailable.

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Observation a5f88478-ca2d-4722-8b8c-c279aff26502 · outbound

This paper cites Reconciling modern machine-learning practice and the classical bias–variance trade-off,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Reconciling modern machine-learning practice and the classical bias–variance trade-off,

Reference 10

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Observation 03bb785b-1ce9-4aff-a0f4-dc7c33cbd910 · outbound

This paper cites Within-network ensemble for face attributes classification,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Within-network ensemble for face attributes classification,

Reference 11

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Source-reported events for the cited work

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Observation 52cc5e9b-c3eb-4a3f-b108-3d481891ed9a · outbound

This paper cites Density estimation using Real NVP.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Density estimation using Real NVP

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76e02995-c3da-4601-9039-d77611abeda1 · outbound

This paper cites Variational inference with normalizing flows,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Variational inference with normalizing flows,

Reference 13

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Observation 4da85e1a-ed62-424d-92a6-c2081a6e7c63 · outbound

This paper cites Random search for hyper-parameter opti- mization,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Random search for hyper-parameter opti- mization,

Reference 14

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Source-reported events for the cited work

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Observation 8a729626-eaa8-4252-a59b-cc4a74a21ad0 · outbound

This paper cites Algorithms for hyper- parameter optimization,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Algorithms for hyper- parameter optimization,

Reference 15

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Unavailable: canonical work link unavailable.

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Observation be38cfb8-0332-48a8-889e-6c0e415459ae · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Understanding intermediate layers using linear classifier probes

Reference 16

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Observation 16114e25-1816-48d5-a23c-9c62dd8c392b · outbound

This paper cites Representation learning: A review and new perspectives,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Representation learning: A review and new perspectives,

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 9af18964-0c5e-4c1a-93cd-f81613394c3c · outbound

This paper cites An empirical evaluation of deep architectures on problems with many factors of variation,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix An empirical evaluation of deep architectures on problems with many factors of variation,

Reference 18

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Observation 3d9407a3-0afb-455d-899c-bb35e9a1e51f · outbound

This paper cites Extract- ing and composing robust features with denoising autoencoders,.

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Extract- ing and composing robust features with denoising autoencoders,

Reference 19

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.