Paper Citation Record · LEDGER

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

As of 11 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 20 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 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T01:04:57.293571Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:35:17.858011Z

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

61 of 61 outbound references displayed

verified exact2
verified fuzzy24
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4da99a8b-8c86-4037-b4f4-2bc3e1b64cd9 · outbound

This paper cites write newline.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:56.996448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692c86b0-de2c-4da6-aca2-949925b43541 · outbound

This paper cites An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.003068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4685db4-c585-4939-ba79-080dafb0a312 · outbound

This paper cites Andersen v.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Andersen v

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.275986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2673be0-441a-46ab-88e3-9c30f3a123ea · outbound

This paper cites I., Feizi, S., and Manjunatha, V.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders I., Feizi, S., and Manjunatha, V

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.260400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 895f04f8-815c-486b-9c56-53a39aac433b · outbound

This paper cites I., Zhao, N., Rossi, R.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders I., Zhao, N., Rossi, R

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.244747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0022111a-15f1-4ede-864b-8695395c6f36 · outbound

This paper cites E., Hume, T., Carter, S., Henighan, T., and Olah, C.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders E., Hume, T., Carter, S., Henighan, T., and Olah, C

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.027399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08cb6a92-6a7f-4276-abac-39cc8c4ad0d5 · outbound

This paper cites BatchTopK Sparse Autoencoders.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.032998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3d380c-1a61-4a64-89e2-3331ba320642 · outbound

This paper cites and Yang, J.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders and Yang, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.219444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a151e05a-39d7-498e-ae5f-ae58ce9cd42b · outbound

This paper cites Case study: Interpreting, manipulating, and controlling clip with sparse autoencoders, 2024.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Case study: Interpreting, manipulating, and controlling clip with sparse autoencoders, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.204823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 268f5542-0f86-472d-980b-cc2e15cfe851 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.048232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a86def-aa88-498a-9931-1ff469b1a237 · outbound

This paper cites Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.052706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21fbf5d-e34e-4968-a12d-f948745c274f · outbound

This paper cites Applying sparse autoencoders to unlearn knowledge in language models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Applying sparse autoencoders to unlearn knowledge in language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.057174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c4acac-dd61-4f11-958c-f5c74823ff17 · outbound

This paper cites Towards multimodal interpretability: Learning sparse interpretable features in vision transformers, 2024.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Towards multimodal interpretability: Learning sparse interpretable features in vision transformers, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.170125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fac65982-e44f-4aaf-add3-7b0fff43730c · outbound

This paper cites Erasing concepts from diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Erasing concepts from diffusion models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.065725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d6320c-f91f-4afe-8bb7-df605789f255 · outbound

This paper cites Unified concept editing in diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Unified concept editing in diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.144923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a0f7808-769b-4c42-8404-fb83ae37e702 · outbound

This paper cites D., Tillman, H., Goh, G., Troll, R., Radford, A., Sutskever, I., Leike, J., and Wu, J.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders D., Tillman, H., Goh, G., Troll, R., Radford, A., Sutskever, I., Leike, J., and Wu, J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.073759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbee7dc7-1324-4fe5-a5fd-b0c466d8ad54 · outbound

This paper cites Reliable and efficient concept erasure of text-to-image diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Reliable and efficient concept erasure of text-to-image diffusion models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.119938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4de97d27-a1a5-4d48-82f1-73bc91363f53 · outbound

This paper cites The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.081809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6425baf-4edf-43a5-b408-672b0f5c7c75 · outbound

This paper cites Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.086990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Isometric Representation Learning for Disentangled Latent Space of Diffusion Models.

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 2026-08-10T06:31:04.303077+00:00.

Observation ddec786b-b677-4680-868a-cff06a91ac3e · outbound

This paper cites and Soh, H.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders and Soh, H

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.104886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4ec09be-a4ce-463c-a642-49a0b0020553 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.102614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7188fa9f-cfc9-45a6-a29e-0194d44ddae0 · outbound

This paper cites Denoising diffusion probabilistic models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Denoising diffusion probabilistic models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.107568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6811405-ca05-436c-9295-7c29d396e95b · outbound

This paper cites an unresolved cited work.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T01:05:28.071948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96a5cb75-12ac-483f-8546-e03ec5ce5518 · outbound

This paper cites R., Ewart, A., and Sharkey, L.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders R., Ewart, A., and Sharkey, L

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.117492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b142f6-eb9a-4a2d-a6a4-978720011d31 · outbound

This paper cites GPT-4o System Card.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders GPT-4o System Card

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.122159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2422cc14-ee59-4e8e-885b-4f80716c7af8 · outbound

This paper cites L., Baljer, L., Tan, D.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders L., Baljer, L., Tan, D

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.046887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1221495-8d74-4072-9254-520261fc12c1 · outbound

This paper cites Interpreting and editing vision-language representations to mitigate hallucinations.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Interpreting and editing vision-language representations to mitigate hallucinations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.032015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4532e6d7-f480-4409-a3d8-536c9f6c4f64 · outbound

This paper cites and Ghadiyaram, D.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders and Ghadiyaram, D

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.137046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f700a895-22f2-4106-920c-c4c4c12e779f · outbound

This paper cites $\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders $\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-10T01:05:12.503854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbc9ead6-54a1-4736-a02b-df4fab9a602d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Adam: A Method for Stochastic Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.146666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28793320-a8aa-4eb9-9d88-735e2a4504cf · outbound

This paper cites Interpreting Attention Layer Outputs with Sparse Autoencoders.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Interpreting Attention Layer Outputs with Sparse Autoencoders

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.151502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be2e527-abb0-495b-b0b5-60771b7d2eff · outbound

This paper cites Ablating concepts in text-to-image diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Ablating concepts in text-to-image diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:28.016794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47ac5614-fd3c-4a1b-b780-f58fe03e0b69 · outbound

This paper cites Diffusion models already have a semantic latent space.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Diffusion models already have a semantic latent space

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.999644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dca2a466-3926-4318-b495-0b673d062fbb · outbound

This paper cites H., Lim, S., Lee, S., Kang, D.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders H., Lim, S., Lee, S., Kang, D

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.984693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c7a0eef-a85b-4cbd-9e26-37bd45f1ec91 · outbound

This paper cites Get what you want, not what you don't: Image content suppression for text-to-image diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Get what you want, not what you don't: Image content suppression for text-to-image diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.969907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0417af2-289a-4d1a-ba19-bcef07fac729 · outbound

This paper cites an unresolved cited work.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T01:05:27.954193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4032d9d2-a315-430e-b2a6-458fc1746090 · outbound

This paper cites One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.939307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3be36b4f-110e-43ff-9eef-cdcef9694f24 · outbound

This paper cites k-Sparse Autoencoders.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders k-Sparse Autoencoders

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.187321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dbe5242-7428-4710-8706-78d817d770b0 · outbound

This paper cites J., Belinkov, Y., Bau, D., and Mueller, A.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders J., Belinkov, Y., Bau, D., and Mueller, A

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.192217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd4b9af-88ff-439b-9f30-3732a2ead989 · outbound

This paper cites an unresolved cited work.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-10T01:05:27.913861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec086d83-8583-436f-b862-a515408bfcd0 · outbound

This paper cites Understanding the latent space of diffusion models through the lens of riemannian geometry.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Understanding the latent space of diffusion models through the lens of riemannian geometry

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.201526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ae2cc8-7ddf-476a-8d9e-5e36b9d259a3 · outbound

This paper cites Automatically Interpreting Millions of Features in Large Language Models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Automatically Interpreting Millions of Features in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.206452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb4a77c-71cf-413a-8b8d-d0fd3ec9c394 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.211152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c956c3-bc32-4104-a409-0336772fc11a · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Red-Teaming the Stable Diffusion Safety Filter

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.216274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a954e3-0240-4c97-8cc8-d0bf55dd07ac · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders High-resolution image synthesis with latent diffusion models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.221495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c87007b-4efd-4a8a-b00f-64d6909ee91b · outbound

This paper cites Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.226387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5980072d-6e3a-4883-b391-088f1697076c · outbound

This paper cites W., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., Schramowski, P., Kundurthy, S.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders W., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., Schramowski, P., Kundurthy, S

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.860909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eaf9641e-ecc0-4287-b842-493ead9f02b6 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Deep unsupervised learning using nonequilibrium thermodynamics

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.235704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e3a796-cb75-466f-9449-3675789debb0 · outbound

This paper cites Unpacking sdxl turbo: Interpreting text-to-image models with sparse autoencoders.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Unpacking sdxl turbo: Interpreting text-to-image models with sparse autoencoders

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.240403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56aa2ea7-ac8c-4e9d-abb6-4d79ea1218b0 · outbound

This paper cites Going deeper with convolutions.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Going deeper with convolutions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.245046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d5e505-6e6a-4f65-9b88-0835e9bb33ad · outbound

This paper cites What the daam: Interpreting stable diffusion using cross attention.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders What the daam: Interpreting stable diffusion using cross attention

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.250082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6838d5d0-c446-4f6a-9982-b5f3ede6eb87 · outbound

This paper cites L., McDougall, C., MacDiarmid, M., Freeman, C.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders L., McDougall, C., MacDiarmid, M., Freeman, C

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.254565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab76a5d-9d6e-4465-a509-f229cf0445e4 · outbound

This paper cites Diffusion lens: Interpreting text encoders in text-to-image pipelines.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Diffusion lens: Interpreting text encoders in text-to-image pipelines

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.807516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1df17017-8444-410f-a02c-f6b7c212fc91 · outbound

This paper cites and Harandi, M.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders and Harandi, M

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.791345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c375269b-cc60-4f56-a202-fa88d9eea73b · outbound

This paper cites Erasing Undesirable Influence in Diffusion Models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Erasing Undesirable Influence in Diffusion Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.269947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a9dd6c2-39a3-4c65-820e-0bc147b47c8c · outbound

This paper cites SAFREE : Training-free and adaptive guard for safe text-to-image and video generation.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders SAFREE : Training-free and adaptive guard for safe text-to-image and video generation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.774245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4270be39-5533-4c69-8256-51dc08e8d2e8 · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.758034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 898dad63-3a96-40f3-a3bb-0de518b837f7 · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Defensive unlearning with adversarial training for robust concept erasure in diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.742205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afcf5741-bc51-42d1-ace1-dd4d2db71d9e · outbound

This paper cites R., Liu, X., and Liu, S.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders R., Liu, X., and Liu, S

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.726565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d74c5398-7996-4bbd-aac4-82bbeb1c9a05 · outbound

This paper cites To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T01:05:27.710501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.

Observation a00b018b-93be-4ea7-9531-61a5671d7985 · inbound

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models cites this paper.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T00:35:17.858011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.