Paper Citation Record · LEDGER

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.11451.

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

pith.paper-citation-record.v1
2407.11451 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:54.202199Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T01:05:27.608950Z

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 2f41cd1f-7809-4698-a1af-68649b362277 · inbound

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing cites this paper.

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:14.556215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248a7b30-76a2-4314-b653-7a8f44b04a6a · inbound

SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack cites this paper.

SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:17:28.642511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 066475b5-0128-47ac-a5e9-fe8a80952cb0 · inbound

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders cites this paper.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T01:05:27.614246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c3ea8c8-fb9b-4756-a37a-08b51b410d7c · inbound

Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization cites this paper.

Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T23:34:54.202199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd901db-3555-46f7-afa1-ce54d0edf06d · inbound

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization cites this paper.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:58.986223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2affd463-cc0b-49cd-8930-1ed40a074754 · inbound

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders cites this paper.

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T15:42:37.203006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.