Paper Citation Record · LEDGER

MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.19738.

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

pith.paper-citation-record.v1
2403.19738 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 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:38.015769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:07:02.430184Z

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 0ef84612-7b0d-4858-ab49-2a8f870e9ed4 · inbound

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers cites this paper.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:24.564726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6cfb39-3c33-44fb-bb44-bf4014c45f69 · inbound

Multi-Group Proportional Representation for Text-to-Image Models cites this paper.

Multi-Group Proportional Representation for Text-to-Image Models MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:38.015769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb088919-f522-4817-83f8-defa5ada5a07 · inbound

Inference Time Debiasing Concepts in Diffusion Models cites this paper.

Inference Time Debiasing Concepts in Diffusion Models MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:20.828852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae1d17a-afff-47d0-9a8d-d0d1ae5655ff · inbound

DebFilter: Eradicating Biases Stashed in Value cites this paper.

DebFilter: Eradicating Biases Stashed in Value MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:27.785500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11d5a26e-d448-4fcc-a0d7-36ea67889e22 · inbound

DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution cites this paper.

DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:14.855573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad10f3bc-59a7-42d4-80e2-f1f4fe51c8aa · inbound

Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization cites this paper.

Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:07:02.431706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.