Paper Citation Record · LEDGER

Minimalist Concept Erasure in Generative Models

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2507.13386.

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

pith.paper-citation-record.v1
2507.13386 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:08:59.551595Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T07:00:13.108697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:01:11.580971Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy7
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 278bdf85-5591-427f-aab6-1552bb3a635e · outbound

This paper cites GPT-4 Technical Report.

Minimalist Concept Erasure in Generative Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:56.830761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6d433c-8597-4f97-8158-55646089b3cb · outbound

This paper cites ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning.

Minimalist Concept Erasure in Generative Models ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.153833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3745e7d2-9f7a-475b-b758-2cb34b706c49 · outbound

This paper cites Alignment faking in large language models.

Minimalist Concept Erasure in Generative Models Alignment faking in large language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.562923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66043926-67c1-49a0-9711-36d544be63a2 · outbound

This paper cites Li, X., Shen, Q., Wang, H., and Kawaguchi, K.

Minimalist Concept Erasure in Generative Models Li, X., Shen, Q., Wang, H., and Kawaguchi, K

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:01.574089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2274cc17-02e6-4b2b-860e-0adfd4ada303 · outbound

This paper cites AlignGuard: Scalable Safety Alignment for Text-to-Image Generation.

Minimalist Concept Erasure in Generative Models AlignGuard: Scalable Safety Alignment for Text-to-Image Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.972239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffc03fe-4d2c-46d7-a021-f0cd194463f1 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Minimalist Concept Erasure in Generative Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:58.112848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b874ac8-d084-41c0-a8f9-c073ff402598 · outbound

This paper cites Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models.

Minimalist Concept Erasure in Generative Models Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:01.316770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ac1bc7f-e16e-4e02-8eda-3ed058d43ecc · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Minimalist Concept Erasure in Generative Models LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:58.393646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1c73e88-af36-4a45-9f66-d0a3536e8d29 · outbound

This paper cites Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient.

Minimalist Concept Erasure in Generative Models Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:58.534739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ffa54bf-5a55-46a2-ad0a-0571e731f54a · outbound

This paper cites Pruning for Robust Concept Erasing in Diffusion Models.

Minimalist Concept Erasure in Generative Models Pruning for Robust Concept Erasing in Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:58.648516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb0ac78-6210-4fb2-babd-c37e030ebe56 · outbound

This paper cites Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.

Minimalist Concept Erasure in Generative Models Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:58.784361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67185a7f-72fb-43b6-9eeb-6db70ac372f2 · outbound

This paper cites In this paper, we use the dataset to assess the effectiveness of NSFW content removal methods.

Minimalist Concept Erasure in Generative Models In this paper, we use the dataset to assess the effectiveness of NSFW content removal methods

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:00.712521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce14fc77-0675-4b85-9329-d4162475bec2 · outbound

This paper cites On the bustling streets of a futuristic city, with neon signs flickering against the rain-soaked pavement, <Concept> stands tall among the crowd.

Minimalist Concept Erasure in Generative Models On the bustling streets of a futuristic city, with neon signs flickering against the rain-soaked pavement, <Concept> stands tall among the crowd

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:00.481769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 578c6abe-9065-4402-88ba-5bd9680932a5 · outbound

This paper cites To ensure a fair and comprehensive comparison, we carefully modified and adapted the experimental setups of the baseline methods to make them compatible with the FLUX model.

Minimalist Concept Erasure in Generative Models To ensure a fair and comprehensive comparison, we carefully modified and adapted the experimental setups of the baseline methods to make them compatible with the FLUX model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:00.249795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19775a5d-786c-42d2-9e05-82a0af524d37 · outbound

This paper cites shirtless victorian ....en censored nipples ))) ourbrennatursimuldepicted horse nude inging.

Minimalist Concept Erasure in Generative Models shirtless victorian ....en censored nipples ))) ourbrennatursimuldepicted horse nude inging

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:59.975394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c68439a-4dcf-42ef-8870-f90292b10429 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Minimalist Concept Erasure in Generative Models Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.438284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71337eb8-e0f3-4c82-a1b7-89fd57708c3c · outbound

This paper cites log T −1Y i=0 pθ′(xi|xi+1, c) pθ(xi|xi+1, c) # (63) = Ex0:T ∼pθ′ (x0:T |c).

Minimalist Concept Erasure in Generative Models log T −1Y i=0 pθ′(xi|xi+1, c) pθ(xi|xi+1, c) # (63) = Ex0:T ∼pθ′ (x0:T |c)

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:01.026298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47e97c71-984a-4872-97b3-4508c9b33949 · outbound

This paper cites FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models.

Minimalist Concept Erasure in Generative Models FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.704475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e245e26a-c4eb-4edf-82c8-c7a2964b0bd7 · outbound

This paper cites Open Problems in Machine Unlearning for AI Safety.

Minimalist Concept Erasure in Generative Models Open Problems in Machine Unlearning for AI Safety

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.037562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c72b972-84a3-41e2-9965-fa5de6f282bb · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Minimalist Concept Erasure in Generative Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:56.938419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cfc378d-5f92-49f2-a822-029de3e64d08 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Minimalist Concept Erasure in Generative Models Training Deep Nets with Sublinear Memory Cost

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:57.272782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3a8f8c8-2ba3-49c7-b8f9-7700ab61dd46 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Minimalist Concept Erasure in Generative Models Fine-Tuning Language Models from Human Preferences

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:58.924428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d8a11e3a-5a96-4bf7-aed3-b9bde8004065 · inbound

SHIFT: Steering Hidden Intermediates in Flow Transformers cites this paper.

SHIFT: Steering Hidden Intermediates in Flow Transformers Minimalist Concept Erasure in Generative Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:20:55.732878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d11afa7-1412-48d1-8ef6-5c0f9659a0b7 · inbound

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models cites this paper.

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models Minimalist Concept Erasure in Generative Models

Reference 48

Resolution: malformed identifier; arxiv_id, observed 2026-05-22T07:01:11.584658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.