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Paper Citation Record · LEDGER

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2504.18032.

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

pith.paper-citation-record.v1
2504.18032 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:33:05.054445Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:18.055323Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:11:18.501158Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f1264e0-8818-4939-bb7a-a9e1f3f3de96 · outbound

This paper cites https://www.midjourney.com/.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models https://www.midjourney.com/

Reference 1

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verified fuzzy
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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.

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Observation f5442cc0-3781-4e5d-a634-8e24e696a9d2 · outbound

This paper cites Do gans learn the distribution? some theory and empirics.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Do gans learn the distribution? some theory and empirics

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.505827Z

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.

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Observation efb78ccd-7927-4aeb-b470-e426894c6dec · outbound

This paper cites Extracting training data from large language models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Extracting training data from large language models

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.494452Z

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.

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Observation 7e2ce5a4-f0b1-4622-83c9-631924025633 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Quantifying Memorization Across Neural Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-16T10:33:04.923709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.923709Z digest=sha256:4d77f3067ec492ce004bd04cfb410ce4d08213c08a784ff1bb32cbb5bbdfec18

Observation c58156a4-b9ac-4c5f-9545-25fdaf88cc7c · outbound

This paper cites The pri- vacy onion effect: Memorization is relative.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models The pri- vacy onion effect: Memorization is relative

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.483245Z

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.

source=pdf_text observed=2026-08-16T10:33:04.927785Z digest=sha256:dedaa7f3cf67c751106ebd2d320fc1e1c6db75ba5491841297489d704dcd7856

Observation 222c6fa9-5167-4783-bf41-cc8a3c05dc4c · outbound

This paper cites Extracting training data from diffusion models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Extracting training data from diffusion models

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.473048Z

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.

source=pdf_text observed=2026-08-16T10:33:04.931370Z digest=sha256:517fd54c31508eb1010df8e254563a0695d78d021ca8158caf48e19c1a6071e0

Observation 8cea0120-eb29-44ac-b0be-d3d7d931e9a9 · outbound

This paper cites Towards memorization-free diffusion models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Towards memorization-free diffusion models

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.462523Z

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.

source=pdf_text observed=2026-08-16T10:33:04.934907Z digest=sha256:0b4a810b17e3d2dfe1a02ed08e6ab41956371d6675ca0e75920a664f1ad672cd

Observation b2c11f62-c372-4be9-b296-d8e6e9fe23c4 · outbound

This paper cites Exploring local memorization in diffusion models via bright ending attention.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Exploring local memorization in diffusion models via bright ending attention

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.452705Z

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.

source=pdf_text observed=2026-08-16T10:33:04.938467Z digest=sha256:87cfa2031f9ab79bab23bba1d5cbe5f9f8d70b6abc2d036790cea2a40dc41fc6

Observation d0ec85e8-f809-4db5-b9da-f01e99aa5c35 · outbound

This paper cites Investigating memorization in video diffusion models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Investigating memorization in video diffusion models

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.441106Z

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.

source=pdf_text observed=2026-08-16T10:33:04.941720Z digest=sha256:00d8a75900aa8009565b4ac3056748bcb89582c3ea38bd8607d9c8b154f37bf5

Observation fe7a71b4-d186-442e-965e-17b618b8e289 · outbound

This paper cites SIDE: Surrogate Conditional Data Extraction from Diffusion Models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models SIDE: Surrogate Conditional Data Extraction from Diffusion Models

Reference 10

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no resolver link, observed 2026-08-16T10:33:04.945086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.945086Z digest=sha256:6d221c6abb9c812312edbd6f59a21786813ca4f0175e9dccf138c2ef6dc71895

Observation 101aa783-bc2c-4ef4-a6ee-8b4d6051fc2e · outbound

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

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 11

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unresolved
no resolver link, observed 2026-08-16T10:33:04.948807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.948807Z digest=sha256:951040cc57f4cd3cefa99a3b99a22ba044c3a83a802359d96eeada77e1cfbe0d

Observation 90fcddbd-681c-4b56-9d4d-7d71b9f0c9ea · outbound

This paper cites Classifier-Free Diffusion Guidance.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Classifier-Free Diffusion Guidance

Reference 12

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no resolver link, observed 2026-08-16T10:33:04.952319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.952319Z digest=sha256:62333deae6b585b4bbab9f8b56073024cbbd039851c4dfd359d95744f593e083

Observation fae40c1f-8b99-4b73-b3cd-27213fe97214 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Denoising dif- fusion probabilistic models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T10:33:04.956226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.956226Z digest=sha256:36ed63a6f7150ad96bfdb2876d540083a738955ffdbad493d066e7ba60e0b40b

Observation 10ffb927-3c4a-4b14-96d1-fea7d6034c3d · outbound

This paper cites an unresolved cited work.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-16T10:33:05.418070Z

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.

source=pdf_text observed=2026-08-16T10:33:04.959486Z digest=sha256:2ce8296019ec9abaee9e2fcbd6039e219f8130dedc2003885274c5dc703a6ba7

Observation 1b3deb3e-d76c-4c49-b149-27810a8e50c6 · outbound

This paper cites Large Language Models Struggle to Learn Long-Tail Knowledge.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 15

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unresolved
no resolver link, observed 2026-08-16T10:33:04.962774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.962774Z digest=sha256:5fa72c0e0b61c61e1f3c42bb2d8cef0933e86ef881a34ba3f9eefd065db7a9f1

Observation 9935f695-232b-4c88-8376-4ff681a8ae5d · outbound

This paper cites Deduplicat- ing training data mitigates privacy risks in language models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Deduplicat- ing training data mitigates privacy risks in language models

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.408395Z

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.

source=pdf_text observed=2026-08-16T10:33:04.966483Z digest=sha256:6cf63a463267e6389650777d69f8f0fa6fb381b8abf8c7038a2b5ab5f6604be0

Observation dfa72611-7c85-4ef6-b7f4-46c46bf5ed9a · outbound

This paper cites Learning multiple layers of features from tiny images.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Learning multiple layers of features from tiny images

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.398565Z

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.

source=pdf_text observed=2026-08-16T10:33:04.969733Z digest=sha256:799a2a94a7058bcc199de6a3f14f23fe5cb631fd1438684f0ae9db6a0127ea88

Observation 0ea2a7f9-240f-4e9f-a586-5226935bbefc · outbound

This paper cites Deduplicating training data makes language models better.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Deduplicating training data makes language models better

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.388347Z

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.

source=pdf_text observed=2026-08-16T10:33:04.973145Z digest=sha256:6ee51b8c9e4e3ec932e0bf7657bca9a9d4fde2902cf4ad29c5b6c6b6c3b6ecda

Observation 3cdfff24-f9bd-431b-87e8-1167489dc7ec · outbound

This paper cites Deep learning face attributes in the wild.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Deep learning face attributes in the wild

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.378333Z

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.

source=pdf_text observed=2026-08-16T10:33:04.976390Z digest=sha256:4fb4929484ef535bccac23e5e9b5a00214fe94d56989ccb00f7627c59c5e0ae6

Observation a731302b-f802-4a24-bf89-92b021b00333 · outbound

This paper cites Memorization in NLP Fine-tuning Methods.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Memorization in NLP Fine-tuning Methods

Reference 20

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unresolved
no resolver link, observed 2026-08-16T10:33:04.979936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:04.979936Z digest=sha256:209cefaffd7a4b1e81db5409668d1c01b7340518698b37e65a61d92e8967164a

Observation 78d72733-a5c8-49d4-b5ca-06516da2a942 · outbound

This paper cites Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication

Reference 21

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verified exact
local_arxiv, observed 2026-08-16T10:33:05.138909Z

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.

source=pdf_text observed=2026-08-16T10:33:04.983754Z digest=sha256:efe0997b969b56501d2bee3af23c7b0c234e9e36aa90a1074eb985274745a6df

Observation 034929a3-3825-4d45-83a5-2089fb4eb6b2 · outbound

This paper cites Understanding (Un)Intended Memorization in Text-to-Image Generative Models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Understanding (Un)Intended Memorization in Text-to-Image Generative Models

Reference 22

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verified exact
local_arxiv, observed 2026-08-16T10:33:05.122407Z

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.

source=pdf_text observed=2026-08-16T10:33:04.987050Z digest=sha256:4a09c75c0ae9ec5ab08a15e820be533d00ad3b59a8c3c24d6299b7e368b3fb47

Observation 534e2539-b3fc-4933-aaad-6d6d8d11b38f · outbound

This paper cites Improved denoising dif- fusion probabilistic models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Improved denoising dif- fusion probabilistic models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.367398Z

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.

source=pdf_text observed=2026-08-16T10:33:04.990511Z digest=sha256:f3a27d8f08f0516120aa56097d5e6cd0bfc7cbf01eefd123984cfc14f924fc92

Observation de0542ed-6ed4-44f6-912e-06682e69d76e · outbound

This paper cites Automated flower classification over a large number of classes.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Automated flower classification over a large number of classes

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.357221Z

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.

source=pdf_text observed=2026-08-16T10:33:04.993519Z digest=sha256:1016b5168b32c7b31d991b762771688f531f71115b2b0899a51210dacee16611

Observation fe63bb56-c1f7-4b33-a6a0-ddd12b1e3bbc · outbound

This paper cites A self-supervised descriptor for image copy detection.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models A self-supervised descriptor for image copy detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.347109Z

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.

source=pdf_text observed=2026-08-16T10:33:04.996894Z digest=sha256:0d6b2059863b31b459316c0afcdb7992aa6101f7668837481526b8b1f60d2ce0

Observation cc769bf3-6c5f-43ac-a8c4-6527afa228f4 · outbound

This paper cites Frame by Familiar Frame: Understanding Replication in Video Diffusion Models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Frame by Familiar Frame: Understanding Replication in Video Diffusion Models

Reference 26

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metadata mismatch
local_arxiv, observed 2026-08-16T10:33:05.106034Z

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.

source=pdf_text observed=2026-08-16T10:33:05.000744Z digest=sha256:781b49385f00a681f3bb5cce998c682e53effc0062a220bf5a46a94b6d21293f

Observation 34aa1128-6a6a-4b9c-a437-18154d631376 · outbound

This paper cites Unveiling and mitigating mem- orization in text-to-image diffusion models through cross at- tention.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Unveiling and mitigating mem- orization in text-to-image diffusion models through cross at- tention

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.336672Z

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.

source=pdf_text observed=2026-08-16T10:33:05.004365Z digest=sha256:bce57852968d90b21a81bd0e7db5bce0d7593df4f0c7b9da3fc7c86c486202e1

Observation 1d57ef3c-6f38-4233-8ce1-c8ea7615687a · outbound

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

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models High-resolution image syn- thesis with latent diffusion models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.325635Z

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.

source=pdf_text observed=2026-08-16T10:33:05.007817Z digest=sha256:fdd1dfab4a92dfa9245d829ea24fe4b2f7c960759237eb6facfb65ea44a09308

Observation 336ec930-a95c-4277-87a2-c89d37224674 · outbound

This paper cites Stable diffusion liti- gation, 2023.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Stable diffusion liti- gation, 2023

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.315080Z

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.

source=pdf_text observed=2026-08-16T10:33:05.011186Z digest=sha256:0e6edba1e4efa15869531871dc8ef46117e800c25cfd282a956e2b3362a1d5aa

Observation 8bf4cd26-4b33-4168-9e31-75ac81ecc343 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.304203Z

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.

source=pdf_text observed=2026-08-16T10:33:05.014535Z digest=sha256:fc078a950495ba405cdf87aa43ad839a764343842111c8ad1f8bdd5fc304bf39

Observation 229ba39b-b7a5-4e60-a7f4-ee7b157347cd · outbound

This paper cites Diffusion art or digital forgery? investigating data replication in diffusion models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Diffusion art or digital forgery? investigating data replication in diffusion models

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.293685Z

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.

source=pdf_text observed=2026-08-16T10:33:05.018022Z digest=sha256:66d50b06d18b501be095c8ff4b5f62b13f3530d2f3975fb2f2182dd6d3b59d80

Observation 52ed51f2-ad3f-47c9-924d-c6bc51cdfc05 · outbound

This paper cites Understanding and mitigating copying in diffusion models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Understanding and mitigating copying in diffusion models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.283018Z

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.

source=pdf_text observed=2026-08-16T10:33:05.021654Z digest=sha256:26a1637020d20967853174e74fbee9762ce8da2f6f5211a5d0a5040b427040f1

Observation 481052ea-5f22-41a8-9333-2d1cab170f92 · outbound

This paper cites This face does not exist.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models This face does not exist

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.272822Z

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.

source=pdf_text observed=2026-08-16T10:33:05.024851Z digest=sha256:6a5d6810cd33483603afcbcac878d5ce365ca704e8a747bdc14f3cdfb75a4297

Observation e5a97197-19ab-42a0-883f-3d3c6e1c0575 · outbound

This paper cites A Reproducible Extraction of Training Images from Diffusion Models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models A Reproducible Extraction of Training Images from Diffusion Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T10:33:05.028761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:33:05.028761Z digest=sha256:08ffc128c26670aa84114b83110d34f1e68a49c706505fba68b203e2067da938

Observation 1a9038b3-33bd-489d-9d43-22e1782591ac · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.263110Z

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.

source=pdf_text observed=2026-08-16T10:33:05.032577Z digest=sha256:7144fba2bf33ee22524baada891b94990c926a67c97a782fb706f47e51beeede

Observation 63f548fe-ccbc-4964-9010-ef08ce512a92 · outbound

This paper cites De- tecting, explaining, and mitigating memorization in diffusion models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models De- tecting, explaining, and mitigating memorization in diffusion models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.252421Z

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.

source=pdf_text observed=2026-08-16T10:33:05.035941Z digest=sha256:d299ee40b2ace6505f7c15076a879a3bd5d8747ab9c00a8f443d4f85beb13799

Observation b84652d8-4784-4b6a-a241-8f42cb3ab250 · outbound

This paper cites Counterfac- tual memorization in neural language models.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Counterfac- tual memorization in neural language models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.241505Z

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.

source=pdf_text observed=2026-08-16T10:33:05.039330Z digest=sha256:6e0d8995b632ff0142cb606caf21e960aa1826ab68e0bde8926b22b082a85e8e

Observation f2ee595f-f178-4aa3-a586-9c274758d509 · outbound

This paper cites an unresolved cited work.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:33:05.230688Z

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.

source=pdf_text observed=2026-08-16T10:33:05.042705Z digest=sha256:f1f03b57b3c6db61d86c6292082635f35ade4d3219460cdebd14686eaff50ca0

Observation 5d776bb2-2aa0-4be5-9df2-c8b44820ce15 · outbound

This paper cites 4.1, we complement the standard aver- age SSCD similarity score that is reported in Fig.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models 4.1, we complement the standard aver- age SSCD similarity score that is reported in Fig

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.220041Z

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.

source=pdf_text observed=2026-08-16T10:33:05.047309Z digest=sha256:283345b4ad41e951f5ba5d7ead42b717ec4e7a218484cbec2e8474f9b005928a

Observation 980c81a2-7cd0-46fb-9c3a-e1a239d11e51 · outbound

This paper cites 12 and 13 for comparative analysis in both local and global memoriza- tion scenarios using the same random seeds.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models 12 and 13 for comparative analysis in both local and global memoriza- tion scenarios using the same random seeds

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.208730Z

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.

source=pdf_text observed=2026-08-16T10:33:05.050879Z digest=sha256:318c22ec9ce344e85a95cbddfea9b71d1fda73f5a6e6bbebc01042d6cf056aa4

Observation 2a8b77c6-3f2f-4529-9028-99a9ffcfc245 · outbound

This paper cites Controlling the Strength of PR We achieve finer-grained control of the privacy-utility trade- off by adjusting the strength of PR guidance.

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Controlling the Strength of PR We achieve finer-grained control of the privacy-utility trade- off by adjusting the strength of PR guidance

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:33:05.197786Z

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.

source=pdf_text observed=2026-08-16T10:33:05.054445Z digest=sha256:12e0c75cce58c0460fd2067ba9f71f965d33a13070748dcdd665c826514a0c2b

Pith citing papers

Observation 21f8adee-ecbb-40b9-8e3b-b25ce54c9941 · inbound

Finding DoRI: Discovery of Retained Images in Diffusion Models cites this paper.

Finding DoRI: Discovery of Retained Images in Diffusion Models Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:11:18.507030Z

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.

source=arxiv_source observed=2026-08-06T15:11:18.055323Z digest=sha256:4030fe804a3ea715c250370871f906ff2d1c22ddfbd461de1365205707bc276b