Paper Citation Record · LEDGER

Disentanglement with Holographic Reduced Representations

As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2606.09725.

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

pith.paper-citation-record.v1
2606.09725 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:36:06.829400Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

50 of 50 outbound references displayed

verified exact5
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier1
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External citation measurements

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Outbound references

Observation 80b2ea74-1ee4-486b-98a4-667a419c6ecf · outbound

This paper cites doi: 10.1109/TPAMI.2013.50.

Disentanglement with Holographic Reduced Representations doi: 10.1109/TPAMI.2013.50

Reference 1

Resolution: verified exact; doi, observed 2026-06-27T17:41:08.128809Z

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Observation b59e97ea-9efd-4199-8a29-6a05f3a897bb · outbound

This paper cites Kingma and Max Welling.

Disentanglement with Holographic Reduced Representations Kingma and Max Welling

Reference 2

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Observation 1d4f86ea-7f29-4ac9-b16b-b67f8abda53b · outbound

This paper cites Beta-V AE: Learning basic visual concepts with a constrained variational framework.

Disentanglement with Holographic Reduced Representations Beta-V AE: Learning basic visual concepts with a constrained variational framework

Reference 3

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Observation f426f63c-b316-4422-9709-d375279652f1 · outbound

This paper cites an unresolved cited work.

Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 4

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Observation fe2ea001-bcf3-417d-aa81-769bccef7285 · outbound

This paper cites Disentangling by factorising.

Disentanglement with Holographic Reduced Representations Disentangling by factorising

Reference 5

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Observation e2d8fad2-d1e7-4862-9d1c-0c4676df6786 · outbound

This paper cites Learning Deep Disentangled Embeddings With the F-Statistic Loss.

Disentanglement with Holographic Reduced Representations Learning Deep Disentangled Embeddings With the F-Statistic Loss

Reference 6

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Observation c4f829c7-ac94-4c05-9adb-917d9007528a · outbound

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 7

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Observation a1aa8c7c-b189-4fba-a0f7-98052aa9cb80 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

Disentanglement with Holographic Reduced Representations Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Observation 97429051-13d9-4317-948a-c5f217e5be02 · outbound

This paper cites InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Ad- versarial Nets.

Disentanglement with Holographic Reduced Representations InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Ad- versarial Nets

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Observation fff45345-3aea-4d45-9c98-c4466fe9e469 · outbound

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 10

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Observation 28311add-fa09-47f7-a9d8-afdc702bc889 · outbound

This paper cites Neural Discrete Representation Learning.

Disentanglement with Holographic Reduced Representations Neural Discrete Representation Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Observation 31c24610-fac8-40cd-89dd-5ecb0b15f196 · outbound

This paper cites A sober look at the unsupervised learning of disentangled representations and their evaluation.Journal of Machine Learning Research, 21(209):1–62, 2020.

Disentanglement with Holographic Reduced Representations A sober look at the unsupervised learning of disentangled representations and their evaluation.Journal of Machine Learning Research, 21(209):1–62, 2020

Reference 12

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Observation 6cb2d05d-8e9f-4e8e-93df-24fb3b4d07a7 · outbound

This paper cites Kovalev, and Aleksandr I.

Disentanglement with Holographic Reduced Representations Kovalev, and Aleksandr I

Reference 13

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Observation d879c110-375e-4f0c-9528-a512061867cc · outbound

This paper cites Surv.55 130:1–130:40 ISSN 0360-0300 URLhttps://dl.acm.org/doi/10.1145/3538531.

Disentanglement with Holographic Reduced Representations Surv.55 130:1–130:40 ISSN 0360-0300 URLhttps://dl.acm.org/doi/10.1145/3538531

Reference 14

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Observation a63b1c38-9063-47f7-a5e8-279c93a09dcb · outbound

This paper cites An encoding framework for binarized images using hyperdimensional computing.Frontiers in Big Data, 7, June 2024.

Disentanglement with Holographic Reduced Representations An encoding framework for binarized images using hyperdimensional computing.Frontiers in Big Data, 7, June 2024

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:41:08.131786Z

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Observation a2404dd8-1eb3-4ed2-87ed-825a2b4400bb · outbound

This paper cites It’s hammer time: How to attack (rowhammer-based) dram-pufs,.

Disentanglement with Holographic Reduced Representations It’s hammer time: How to attack (rowhammer-based) dram-pufs,

Reference 16

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Observation bc5472f9-d7db-483c-bd0c-3c0805ac0e20 · outbound

This paper cites Olshausen, Yulia Sandamirskaya, Friedrich T.

Disentanglement with Holographic Reduced Representations Olshausen, Yulia Sandamirskaya, Friedrich T

Reference 17

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Observation 925db66f-4f0d-4124-a05b-0dd3280d338a · outbound

This paper cites Olshausen, Yulia Sandamirskaya, Friedrich T.

Disentanglement with Holographic Reduced Representations Olshausen, Yulia Sandamirskaya, Friedrich T

Reference 18

Resolution: metadata mismatch; doi, observed 2026-06-27T17:41:08.140344Z

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Observation e4c58953-18bf-4588-a19d-fa827b3c76f9 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Disentanglement with Holographic Reduced Representations A Simple Framework for Contrastive Learning of Visual Representations

Reference 19

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Observation 9ad5ed76-ed71-4602-9835-ae70a78e5ed2 · outbound

This paper cites Unsupervised representation learning with deep convolutional generative adversarial networks.

Disentanglement with Holographic Reduced Representations Unsupervised representation learning with deep convolutional generative adversarial networks

Reference 20

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Observation aa22efd9-e028-4087-87a2-9ed55d5e31b1 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

Disentanglement with Holographic Reduced Representations Emerging Properties in Self-Supervised Vision Transformers

Reference 21

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Observation 9132c701-a99d-4e6e-8350-ffffd57cb5eb · outbound

This paper cites Walk in the cloud: Learning curves for point clouds shape analysis, pp.

Disentanglement with Holographic Reduced Representations Walk in the cloud: Learning curves for point clouds shape analysis, pp

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:41:08.143213Z

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Observation a6c2871c-f7bc-4d70-ac1b-e23cad124ad3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Disentanglement with Holographic Reduced Representations In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:41:08.146218Z

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Observation e8e2a998-efa8-4eba-9563-46db09c3fb28 · outbound

This paper cites Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning.

Disentanglement with Holographic Reduced Representations Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning

Reference 24

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Observation 640b653e-246c-414d-8a99-fcca99c5c625 · outbound

This paper cites In: CVPR.

Disentanglement with Holographic Reduced Representations In: CVPR

Reference 25

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Observation c1688fe2-3f9b-402b-8214-af3936994420 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space, September 2013.

Disentanglement with Holographic Reduced Representations Efficient Estimation of Word Representations in Vector Space, September 2013

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Observation 93f68c7d-06f7-46c0-9063-4a36713a63cb · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Disentanglement with Holographic Reduced Representations Efficient Estimation of Word Representations in Vector Space

Reference 27

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Observation 539eb884-4317-40fe-a88a-d127184a99e0 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Disentanglement with Holographic Reduced Representations Learning Transferable Visual Models From Natural Language Supervision

Reference 28

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Observation 6b074b30-0be7-49b0-83ec-3c7fc770e3de · outbound

This paper cites A neuro- vector-symbolic architecture for solving Raven’s progressive matrices.Nature Machine Intelli- gence, 5(4):363–375, March 2023.

Disentanglement with Holographic Reduced Representations A neuro- vector-symbolic architecture for solving Raven’s progressive matrices.Nature Machine Intelli- gence, 5(4):363–375, March 2023

Reference 29

Resolution: verified exact; doi, observed 2026-06-27T17:41:08.136750Z

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Observation fefa0891-b0ae-4cc8-995f-20aa4aa304a0 · outbound

This paper cites Learning with Holographic Reduced Representations.

Disentanglement with Holographic Reduced Representations Learning with Holographic Reduced Representations

Reference 30

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Observation 19dbd149-a909-4792-8818-b01ef64c7815 · outbound

This paper cites Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations.

Disentanglement with Holographic Reduced Representations Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations

Reference 31

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Observation 78b7adc8-3c23-4343-85f8-9b12d240cb5f · outbound

This paper cites Recasting Self-Attention with Holographic Reduced Representations.

Disentanglement with Holographic Reduced Representations Recasting Self-Attention with Holographic Reduced Representations

Reference 32

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Observation 07bafd88-7613-411f-bd0d-3687646df8c9 · outbound

This paper cites IEEE Transactions on Neural Networks , author =.

Disentanglement with Holographic Reduced Representations IEEE Transactions on Neural Networks , author =

Reference 33

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Observation 5a2b3a25-a632-494f-aae6-dc0481add38b · outbound

This paper cites Tripod: Three complementary inductive biases for disentangled representation learning.

Disentanglement with Holographic Reduced Representations Tripod: Three complementary inductive biases for disentangled representation learning

Reference 34

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Observation 08d19348-9a85-4baa-9e0e-c1e3956f5d56 · outbound

This paper cites Estimating or propagating gradients through stochastic neurons for conditional computation, 2013.

Disentanglement with Holographic Reduced Representations Estimating or propagating gradients through stochastic neurons for conditional computation, 2013

Reference 35

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Observation 787f2661-2ce2-4b6f-8dbd-1e62005afdac · outbound

This paper cites Decoupled weight decay regularization.

Disentanglement with Holographic Reduced Representations Decoupled weight decay regularization

Reference 36

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Observation 4e3030fe-8dee-4207-ae73-185d1a3307a2 · outbound

This paper cites 3D shapes dataset, 2018.

Disentanglement with Holographic Reduced Representations 3D shapes dataset, 2018

Reference 37

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Observation af0b281f-1695-4b23-9b44-dec084080e45 · outbound

This paper cites On the transfer of inductive bias from simulation to the real world: a new disen- tanglement dataset.

Disentanglement with Holographic Reduced Representations On the transfer of inductive bias from simulation to the real world: a new disen- tanglement dataset

Reference 38

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Observation 4e527232-cc70-41a6-a88a-10a8fd9f2e30 · outbound

This paper cites NVIDIA Research Projects, November 2025.

Disentanglement with Holographic Reduced Representations NVIDIA Research Projects, November 2025

Reference 39

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Observation 86d2a686-fd8e-4beb-96c9-058e135fcce5 · outbound

This paper cites The role of disentanglement in generalisation.

Disentanglement with Holographic Reduced Representations The role of disentanglement in generalisation

Reference 40

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Observation 33c13cf1-4483-4949-af2a-34194725a6b9 · outbound

This paper cites Neural systematic binder.

Disentanglement with Holographic Reduced Representations Neural systematic binder

Reference 41

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Disentanglement with Holographic Reduced Representations PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 42

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 43

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 44

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Observation bd5e15bd-3f35-466f-b5a7-bd4acabec2f3 · outbound

This paper cites d−1X k=0 d−1X m=0 s(i) k s(ℓ) m (vℓ)k+a−m ! · d−1X k′=0 d−1X m′=0 s(i) k′ s(ℓ) m′(vℓ)k′+b−m′ !# =E.

Disentanglement with Holographic Reduced Representations d−1X k=0 d−1X m=0 s(i) k s(ℓ) m (vℓ)k+a−m ! · d−1X k′=0 d−1X m′=0 s(i) k′ s(ℓ) m′(vℓ)k′+b−m′ !# =E

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Observation 1d8c3f9d-9f35-4f49-81da-e4f40d75eafd · outbound

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 46

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Observation d48c24af-c9aa-4edc-a3f6-468caee61ed4 · outbound

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 47

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Observation 725608a0-c4ef-40ad-8202-9ede2172562c · outbound

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 48

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Observation 4b77e493-a781-4bef-b824-71c5eb77af48 · outbound

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Disentanglement with Holographic Reduced Representations Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Observation 70886918-065d-42f4-938d-dcad8f7a58d1 · outbound

This paper cites H Complete disentanglement results The full disentanglement results for each dataset, with the mean and 95% confidence intervals described in Appendix E, can be found in Table 12.

Disentanglement with Holographic Reduced Representations H Complete disentanglement results The full disentanglement results for each dataset, with the mean and 95% confidence intervals described in Appendix E, can be found in Table 12

Reference 50

Resolution: malformed identifier; no resolver link, observed 2026-06-27T17:36:06.829400Z

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Pith citing papers

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