Paper Citation Record · LEDGER

Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.17591.

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

pith.paper-citation-record.v1
2303.17591 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:56:40.250092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:16.690359Z

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 0f0367a9-d442-45b4-b456-a2db96b20f71 · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 230

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:56:23.613807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84095f6e-1094-45ea-be72-a119ebf16596 · inbound

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them cites this paper.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T21:56:40.250092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e11ff9b-dc59-418a-9f27-3934d772ae81 · inbound

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate cites this paper.

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:13.526109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cf9318-8ff5-48c3-9614-1b57c42b1887 · inbound

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning cites this paper.

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T11:42:04.508442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19c5f8b-103f-4940-a5c4-ae179cf05df9 · inbound

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design cites this paper.

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:26.860442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 660e3ad4-667f-4dc3-b3c3-44d67da46a6c · inbound

Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models cites this paper.

Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:02.686074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6d81772-8e0e-48aa-9be8-0e12736de8dc · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.245439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 555ff655-638d-4ff8-b410-1308e5142b42 · inbound

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior cites this paper.

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:16.691952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.