Paper Citation Record · LEDGER

Bridging the inference gap in Mutimodal Variational Autoencoders

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.03952.

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

pith.paper-citation-record.v1
2502.03952 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:13:18.861837Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:45:15.226889Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

53 of 53 outbound references displayed

verified exact6
verified fuzzy18
unresolved23
parse uncertain0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 633ea3c9-ce4a-408d-8bb1-0087c58c155d · outbound

This paper cites Auto-Encoding Variational Bayes.

Bridging the inference gap in Mutimodal Variational Autoencoders Auto-Encoding Variational Bayes

Reference 1

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Observation ecbc1216-dc83-40f7-9e2a-8c1ba5a86f3d · outbound

This paper cites SCAN: Learning Hierarchical Compositional Visual Concepts.

Bridging the inference gap in Mutimodal Variational Autoencoders SCAN: Learning Hierarchical Compositional Visual Concepts

Reference 2

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Observation ecc53c85-a58f-47ff-a3fe-4165bfa4ee1f · outbound

This paper cites an unresolved cited work.

Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 3

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Observation c93dcd59-c4ca-48e3-88dd-111fef953fa3 · outbound

This paper cites an unresolved cited work.

Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 4

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Observation 92640c59-3c4a-4597-b8ce-0d38b8de47a6 · outbound

This paper cites Joint Multimodal Learning with Deep Generative Models.

Bridging the inference gap in Mutimodal Variational Autoencoders Joint Multimodal Learning with Deep Generative Models

Reference 5

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 6

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Observation 43d90c74-0f02-47fa-af22-d5175a7747d6 · outbound

This paper cites Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models.

Bridging the inference gap in Mutimodal Variational Autoencoders Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

Reference 7

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 8

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Observation 34d25296-8e7d-4b75-a33f-37f3a77ca2f9 · outbound

This paper cites Daunhawer, T.

Bridging the inference gap in Mutimodal Variational Autoencoders Daunhawer, T

Reference 9

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 10

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Observation 233b6735-0d83-41d6-bfa9-7b966e53f6e5 · outbound

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 11

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Observation c510cbdb-7997-4332-8933-d072668bbd18 · outbound

This paper cites Palumbo, I.

Bridging the inference gap in Mutimodal Variational Autoencoders Palumbo, I

Reference 13

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Observation 73e8eed8-ca75-49fc-86bb-ec2c16e4bca3 · outbound

This paper cites Higgins, L.

Bridging the inference gap in Mutimodal Variational Autoencoders Higgins, L

Reference 14

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Observation 9a5cd2c2-7c8e-4f78-82d2-ba11e85671ec · outbound

This paper cites Importance Weighted Autoencoders.

Bridging the inference gap in Mutimodal Variational Autoencoders Importance Weighted Autoencoders

Reference 15

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This paper cites Sutter, I.

Bridging the inference gap in Mutimodal Variational Autoencoders Sutter, I

Reference 16

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Observation b9dd19e8-6636-470b-9085-4a2412fcb330 · outbound

This paper cites Generative Models of Visually Grounded Imagination.

Bridging the inference gap in Mutimodal Variational Autoencoders Generative Models of Visually Grounded Imagination

Reference 17

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Observation 49523a98-71b7-43c8-9b7f-fe742265ca4a · outbound

This paper cites Lawry Aguila, J.

Bridging the inference gap in Mutimodal Variational Autoencoders Lawry Aguila, J

Reference 18

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Observation c909dc7e-f921-4db4-be4f-4de77c4a10ad · outbound

This paper cites Hwang, G.-H.

Bridging the inference gap in Mutimodal Variational Autoencoders Hwang, G.-H

Reference 19

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Observation bbffa50c-70fc-4cf4-ae4e-fc7cb1c858e6 · outbound

This paper cites Suzuki, Y.

Bridging the inference gap in Mutimodal Variational Autoencoders Suzuki, Y

Reference 20

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Observation 533910ce-d825-4ef3-b6ea-1111997fdc68 · outbound

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 21

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Observation 80070464-e6ce-4c56-8d17-2b65d67e6d2b · outbound

This paper cites Daunhawer, T.

Bridging the inference gap in Mutimodal Variational Autoencoders Daunhawer, T

Reference 22

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Observation af1895de-575d-43c3-8b5f-b924b304fef5 · outbound

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Bridging the inference gap in Mutimodal Variational Autoencoders Vasco, H

Reference 23

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Observation e4dc2bbd-d0de-477d-ab77-e5a591166905 · outbound

This paper cites Palumbo, L.

Bridging the inference gap in Mutimodal Variational Autoencoders Palumbo, L

Reference 24

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Observation 36a3227a-abcb-4f5a-8366-6b48fb760217 · outbound

This paper cites Bounoua, G.

Bridging the inference gap in Mutimodal Variational Autoencoders Bounoua, G

Reference 25

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This paper cites Rezende, S.

Bridging the inference gap in Mutimodal Variational Autoencoders Rezende, S

Reference 26

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Observation 4037fa44-a4d1-4510-9340-90891c800750 · outbound

This paper cites Papamakarios, T.

Bridging the inference gap in Mutimodal Variational Autoencoders Papamakarios, T

Reference 27

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This paper cites doi:10.1201/b10905-10.

Bridging the inference gap in Mutimodal Variational Autoencoders doi:10.1201/b10905-10

Reference 28

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This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

Bridging the inference gap in Mutimodal Variational Autoencoders A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 29

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This paper cites Lecun, L.

Bridging the inference gap in Mutimodal Variational Autoencoders Lecun, L

Reference 30

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Observation ea62e98c-9d7d-4c0e-944a-734d243caa81 · outbound

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Bridging the inference gap in Mutimodal Variational Autoencoders Netzer, T

Reference 31

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Observation c2dc1ee0-cf5a-450d-8882-45bd7e15308c · outbound

This paper cites Andrew, R.

Bridging the inference gap in Mutimodal Variational Autoencoders Andrew, R

Reference 32

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Observation 0e2c31ff-7f00-44de-961f-8d54fc55f5b0 · outbound

This paper cites Poklukar, M.

Bridging the inference gap in Mutimodal Variational Autoencoders Poklukar, M

Reference 33

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Observation 4d4eb42c-431f-4e61-bc1f-2cf8fe2a3ced · outbound

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

Bridging the inference gap in Mutimodal Variational Autoencoders Learning Transferable Visual Models From Natural Language Supervision

Reference 34

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This paper cites Contrastive Variational Autoencoder Enhances Salient Features.

Bridging the inference gap in Mutimodal Variational Autoencoders Contrastive Variational Autoencoder Enhances Salient Features

Reference 35

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Bridging the inference gap in Mutimodal Variational Autoencoders Contrastive Multiview Coding

Reference 36

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Bridging the inference gap in Mutimodal Variational Autoencoders Ramsauer, T

Reference 37

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Observation 27840f2f-e8f5-4dbf-8687-1c505409728a · outbound

This paper cites From Variational to Deterministic Autoencoders.

Bridging the inference gap in Mutimodal Variational Autoencoders From Variational to Deterministic Autoencoders

Reference 38

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Bridging the inference gap in Mutimodal Variational Autoencoders Variational Inference with Normalizing Flows

Reference 39

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Bridging the inference gap in Mutimodal Variational Autoencoders Tomczak, M

Reference 40

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Observation e0327c76-eca4-444b-8ef5-5209ae295f12 · outbound

This paper cites Improving Variational Inference with Inverse Autoregressive Flow.

Bridging the inference gap in Mutimodal Variational Autoencoders Improving Variational Inference with Inverse Autoregressive Flow

Reference 41

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This paper cites Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives.

Bridging the inference gap in Mutimodal Variational Autoencoders Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives

Reference 42

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 43

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Observation 09c7219c-2860-4773-9ddf-56e3a5d81003 · outbound

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 44

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Observation 8e2a1965-177b-4924-b613-5c6026009b64 · outbound

This paper cites an unresolved cited work.

Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 45

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Observation 7c3fcde1-19fd-4693-b6d9-8eaefe8a8d43 · outbound

This paper cites Preechakul, N.

Bridging the inference gap in Mutimodal Variational Autoencoders Preechakul, N

Reference 46

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Observation ed94283b-1db1-4d9e-8540-8ec1eb1da5e8 · outbound

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 47

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Observation 522b7323-2916-49ed-b579-b4cb9323d301 · outbound

This paper cites Chadebec, L.

Bridging the inference gap in Mutimodal Variational Autoencoders Chadebec, L

Reference 48

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Observation 1a5bb267-35ec-4d8a-8ca8-1e395837b99b · outbound

This paper cites Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization.

Bridging the inference gap in Mutimodal Variational Autoencoders Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization

Reference 49

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Bridging the inference gap in Mutimodal Variational Autoencoders Unresolved cited work

Reference 50

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Observation 33e41aa7-3c8d-47e3-b4e1-77a929523f44 · outbound

This paper cites Duane, A.

Bridging the inference gap in Mutimodal Variational Autoencoders Duane, A

Reference 51

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This paper cites Liu, Monte Carlo Strategies in Scientic Computing, 2009.doi:10.

Bridging the inference gap in Mutimodal Variational Autoencoders Liu, Monte Carlo Strategies in Scientic Computing, 2009.doi:10

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:13:19.478332Z

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Observation 73424f85-6c3b-48e4-833e-c7be470eb6da · outbound

This paper cites Brooks, A.

Bridging the inference gap in Mutimodal Variational Autoencoders Brooks, A

Reference 53

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Observation 2886e3aa-4dd9-446d-b3ab-a9d72e8384e0 · outbound

This paper cites Girolami, B.

Bridging the inference gap in Mutimodal Variational Autoencoders Girolami, B

Reference 54

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Pith citing papers

Observation 048c4bbb-92fd-4bf7-99e8-07fa0b319101 · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery Bridging the inference gap in Mutimodal Variational Autoencoders

Reference 63

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Source-reported events for the cited work

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