Paper Citation Record · LEDGER

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2501.18052.

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

pith.paper-citation-record.v1
2501.18052 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:29:53.662752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:05:47.561630Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 b0bd43ee-9dba-433b-9291-486ff7f1bdda · inbound

Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.716014Z

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 da0c16e6-ccc8-416e-81f3-5a11ceef6395 · inbound

Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data cites this paper.

Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:53.662752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0948aa01-7971-4734-9463-b8d9d28ee367 · inbound

CytoSAE: Interpretable Cell Embeddings for Hematology cites this paper.

CytoSAE: Interpretable Cell Embeddings for Hematology SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:52.584625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ebdd2ad-7eb3-47f4-9f95-e09d07b3ecf8 · inbound

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

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T15:42:35.981962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8fa6bdb-fdee-4892-9078-42cdff5c0080 · inbound

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations cites this paper.

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:48:42.718198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879c1a66-288b-45e2-a1eb-802a5c7deac4 · inbound

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail cites this paper.

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:01.760714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 995d4e43-6038-4050-ae1f-9792faae8089 · inbound

UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning cites this paper.

UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T05:05:53.541076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106922a2-0278-4806-8e2e-c5b4ccc8824c · inbound

You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models cites this paper.

You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T21:27:18.974138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b2ce30-3f8f-4eee-a542-b4176bc1e11e · inbound

Closed-Form Concept Erasure via Double Projections cites this paper.

Closed-Form Concept Erasure via Double Projections SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:16:00.787364Z

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 6575709d-2156-4424-b6df-5472862c4bbc · inbound

Improving Sparse Autoencoder with Dynamic Attention cites this paper.

Improving Sparse Autoencoder with Dynamic Attention SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:10:09.035135Z

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 e3291396-ee2c-47c2-adc0-889f23c5399d · inbound

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders cites this paper.

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:07.266346Z

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 44818334-549f-4973-ae27-627c14051897 · inbound

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders cites this paper.

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:57.866804Z

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 ebe358df-98fe-4d35-b345-07b9ee215e6f · inbound

Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models cites this paper.

Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:29.412743Z

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 471f2e98-a29d-4dc2-ae75-e44bbf38ec57 · inbound

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models cites this paper.

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:18.789700Z

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 bca5dd57-752e-454b-b251-5194271c8447 · inbound

BARRIER: Bounded Activation Regions for Robust Information Erasure cites this paper.

BARRIER: Bounded Activation Regions for Robust Information Erasure SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:18:54.704775Z

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 da549611-49f1-4741-988a-0ffb9b8e4482 · inbound

SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training cites this paper.

SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:28:14.345563Z

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 bf1ea455-b0dc-4159-9aca-b695d2365d6d · inbound

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models cites this paper.

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:28:04.264363Z

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 bb8d1bd4-a117-43a4-826d-069b426c9cc2 · inbound

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models cites this paper.

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:05:47.563104Z

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 1cce40c1-227f-443d-b253-7959af414a22 · inbound

Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence cites this paper.

Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:24.028499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.