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Paper Citation Record · LEDGER

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2601.21688.

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

pith.paper-citation-record.v1
2601.21688 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:57:47.067539Z

measured 33 of 33 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

33 of 33 outbound references displayed

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  • unresolved33
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Outbound references

Observation 72175ace-1327-4030-ba68-1a2fb2191071 · outbound

This paper cites nips.cc/paper_files/paper/2022/hash/ 0850e04a62e0f3407780852581c5fcf4- Abstract-Conference.html.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision nips.cc/paper_files/paper/2022/hash/ 0850e04a62e0f3407780852581c5fcf4- Abstract-Conference.html

Reference 5

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Observation aee3f686-ef5a-4ed1-9852-6b5fb525c006 · outbound

This paper cites Isolating Sources of Disentanglement in Variational Autoencoders.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Isolating Sources of Disentanglement in Variational Autoencoders

Reference 6

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Observation ceda9142-7b30-4029-b2eb-a4bc0895e73f · outbound

This paper cites 6th International Conference on Learning Representations, ICLR 2018 ; Conference date: 30-04-2018 Through 03-05-2018.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision 6th International Conference on Learning Representations, ICLR 2018 ; Conference date: 30-04-2018 Through 03-05-2018

Reference 7

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Observation 1efa96a7-26bc-40a6-b51b-293ae027ce2e · outbound

This paper cites GANSpace: Discovering Interpretable GAN Controls.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision GANSpace: Discovering Interpretable GAN Controls

Reference 10

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Observation be40fa6a-1181-4b3c-82b4-a57e7410ef0e · outbound

This paper cites Disentangling by Factorising.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Disentangling by Factorising

Reference 11

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Observation 12ae65ee-609a-4df1-8339-f78c2e7d63de · outbound

This paper cites Fader Networks: Manipulating Images by Sliding Attributes.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Fader Networks: Manipulating Images by Sliding Attributes

Reference 12

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Observation a7c893fe-3d34-407e-bf2b-588d2d0f3697 · outbound

This paper cites InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

Reference 14

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Observation 62b37834-2968-428f-b10e-b91f3372c947 · outbound

This paper cites Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 15

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Observation f1d9d5ba-8cbf-491b-91be-62511c6a593e · outbound

This paper cites Disentangling factors of variation in deep representations using adversarial training.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Disentangling factors of variation in deep representations using adversarial training

Reference 18

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Observation ad5c7b20-3f2c-4f4c-9007-ef5239b81ca3 · outbound

This paper cites Disentangled Information Bottleneck.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Disentangled Information Bottleneck

Reference 19

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Observation 04790d26-0929-4464-8320-287149e568e6 · outbound

This paper cites Counterfactual Generative Networks.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Counterfactual Generative Networks

Reference 22

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Observation 86e639ed-0e64-4c30-991e-9c1a61b2b8af · outbound

This paper cites Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations

Reference 23

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Observation 7629efe6-6997-4f28-8672-5da66e54de8d · outbound

This paper cites Intriguing properties of neural networks.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Intriguing properties of neural networks

Reference 24

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Observation 2d7290ff-8c90-47ba-b28c-6bcabff8dcbe · outbound

This paper cites On Disentangled Representations Learned From Correlated Data.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision On Disentangled Representations Learned From Correlated Data

Reference 26

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Observation 997a931b-49da-4948-ba01-a00bfa16e9b9 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Representation Learning with Contrastive Predictive Coding

Reference 27

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Observation c7cdf26b-94e5-4ff4-94df-0951f007ea99 · outbound

This paper cites Unsupervised Discovery of Interpretable Directions in the GAN Latent Space.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Reference 28

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Observation f1e4b0a2-53b6-4004-9596-ca271d44ee01 · outbound

This paper cites We report standard deviations w.r.t.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision We report standard deviations w.r.t

Reference 31

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Observation d3968b0b-e956-4758-a96f-42fbf97d5d09 · outbound

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XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Unresolved cited work

Reference 32

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Observation e494b66b-42d6-4d8b-b76a-381ae9ab3242 · outbound

This paper cites We choose to stay close to the Kim & Mnih (2019) algorithm.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision We choose to stay close to the Kim & Mnih (2019) algorithm

Reference 33

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Observation 101c9785-a03f-47ae-b7fc-195854b13a0c · outbound

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XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Unresolved cited work

Reference 100

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Observation a86b6a19-97a6-44dd-aad9-4003cd7620cd · outbound

This paper cites The information bottleneck method.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision The information bottleneck method

Reference 2000

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Observation 423e208a-e694-451f-bf46-2873b924e7ea · outbound

This paper cites URLhttps://doi.org/10.1038/nrg2825.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision URLhttps://doi.org/10.1038/nrg2825

Reference 2010

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Observation 49d6fe04-5a43-41f9-bb9f-adb8810eef78 · outbound

This paper cites Representation Learning: A Review and New Perspectives.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Representation Learning: A Review and New Perspectives

Reference 2014

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Observation 463177ed-3e35-4f7b-ad89-ff72a22631aa · outbound

This paper cites cc/paper_files/paper/2015/file/ e07413354875be01a996dc560274708e- Paper.pdf.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision cc/paper_files/paper/2015/file/ e07413354875be01a996dc560274708e- Paper.pdf

Reference 2015

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Observation c9128d7a-68d0-47e7-ab27-ba8c5a5eb444 · outbound

This paper cites Deep Variational Information Bottleneck.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Deep Variational Information Bottleneck

Reference 2016

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Observation f00ea725-f524-4754-8d35-c64e9887f376 · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Understanding disentangling in $\beta$-VAE

Reference 2018

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Observation 7465cdec-e94d-4e10-9f82-44b3f1c46dcd · outbound

This paper cites neurips.cc/paper/2019/file/ d97d404b6119214e4a7018391195240a- Paper.pdf.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision neurips.cc/paper/2019/file/ d97d404b6119214e4a7018391195240a- Paper.pdf

Reference 2019

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Observation 44107d97-01cb-464d-ba89-e83a34280c6f · outbound

This paper cites doi: 10.1038/s42256-020-00257-z.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision doi: 10.1038/s42256-020-00257-z

Reference 2020

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Observation 045806e0-5f2a-411c-8bfb-adc744345d08 · outbound

This paper cites Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

Reference 2021

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Observation 1301cdbc-7c3b-476f-93e6-9aeb764600b5 · outbound

This paper cites Diffusion Visual Counterfactual Explanations.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Diffusion Visual Counterfactual Explanations

Reference 2022

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Observation 7ba1b38f-0e6e-4a66-969f-7a624a12f8b3 · outbound

This paper cites URL https://doi.org/ 10.15252/msb.202211517.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision URL https://doi.org/ 10.15252/msb.202211517

Reference 2023

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Observation 9edeff17-9ee8-4d61-a8ed-a9d0b8282822 · outbound

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XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement

Reference 2024

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Observation cb3b5cbe-3737-494b-8d00-a2c8fa77d370 · outbound

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XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Supervised Contrastive Block Disentanglement

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.