Paper Citation Record · LEDGER

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2201.00308.

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

pith.paper-citation-record.v1
2201.00308 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:00.381049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:37:00.538426Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 92f4e84a-69fa-4939-84f5-4473fdf7d8b0 · inbound

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy cites this paper.

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:56.526698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ca6054-0930-4ee4-95e0-9023acbf395e · inbound

PQD: Post-training Quantization for Efficient Diffusion Models cites this paper.

PQD: Post-training Quantization for Efficient Diffusion Models DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.386971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fcd66c1-51c4-4934-8e5e-e9cf86edb81c · inbound

Variational Rectified Flow Matching cites this paper.

Variational Rectified Flow Matching DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T20:54:49.821946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753797e9-915b-4786-af42-fa226558406a · inbound

SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification cites this paper.

SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:37:00.540526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 249d74bd-3465-4c05-a591-54df962af26e · inbound

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models cites this paper.

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:00.381049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5aba87-e353-4e27-8b04-3aa56c29a17c · inbound

On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning cites this paper.

On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:28.008310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b83a92d-5397-4459-b2fc-41d69d86a92d · inbound

Diffusion Counterfactual Generation with Semantic Abduction cites this paper.

Diffusion Counterfactual Generation with Semantic Abduction DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.022165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3f4879b-75f0-4151-942e-306eee8ba2ab · inbound

Neural Langevin Machine: a local asymmetric learning rule can be creative cites this paper.

Neural Langevin Machine: a local asymmetric learning rule can be creative DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:58.283749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b51962-bfa1-48fc-ace0-e6f3b145afdd · inbound

Diffusion Disambiguation Models for Partial Label Learning cites this paper.

Diffusion Disambiguation Models for Partial Label Learning DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:53.632174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60178302-9be1-4a9b-8e8e-cc433ffb7352 · inbound

Efficient Diffusion Distillation via Embedding Loss cites this paper.

Efficient Diffusion Distillation via Embedding Loss DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:19.496033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 024b41ba-1603-4eec-b810-631c52721d16 · inbound

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning cites this paper.

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:51.824103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 582d4684-8c26-4963-92aa-7acf3dde5f4e · inbound

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents cites this paper.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.805061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.