Paper Citation Record · LEDGER

Score-based Generative Modeling in Latent Space

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2106.05931.

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

pith.paper-citation-record.v1
2106.05931 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:21.418790Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation beea1b1a-6c71-412d-8dc3-13368209efb9 · inbound

High-Resolution Image Synthesis with Latent Diffusion Models cites this paper.

High-Resolution Image Synthesis with Latent Diffusion Models Score-based Generative Modeling in Latent Space

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:02:10.298831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c516e76-6e6f-4fdd-b728-951fc1a6e7c9 · inbound

Masked Autoencoders Are Effective Tokenizers for Diffusion Models cites this paper.

Masked Autoencoders Are Effective Tokenizers for Diffusion Models Score-based Generative Modeling in Latent Space

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T04:47:30.429558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b450c03f-dc93-4070-884e-b45a65ee3c6c · inbound

ProxelGen: Generating Proteins as 3D Densities cites this paper.

ProxelGen: Generating Proteins as 3D Densities Score-based Generative Modeling in Latent Space

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:21.418790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836c52b9-b312-4cba-ab16-ed512d154443 · inbound

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space cites this paper.

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space Score-based Generative Modeling in Latent Space

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:55.629010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e20ea892-c906-4f5f-9833-40ade40ea666 · inbound

Dual-Stream EEG Decoding for 3D Visual Perception cites this paper.

Dual-Stream EEG Decoding for 3D Visual Perception Score-based Generative Modeling in Latent Space

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-06-26T12:09:27.597325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a2d5ede7-5fe8-42a3-a5d3-b81687e04d49 · inbound

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model cites this paper.

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model Score-based Generative Modeling in Latent Space

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T04:33:53.857673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d54b107-8184-4201-abe2-4e1b85b6f780 · inbound

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling cites this paper.

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling Score-based Generative Modeling in Latent Space

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T12:48:19.354750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.