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Paper Citation Record · LEDGER

Mist: Towards Improved Adversarial Examples for Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2305.12683.

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

pith.paper-citation-record.v1
2305.12683 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:30:44.113526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:07:56.142530Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 454537b1-3825-4125-82b7-8b94e0091e62 · inbound

CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models cites this paper.

CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 20

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no resolver link, observed 2026-08-08T13:30:44.113526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:30:44.113526Z digest=sha256:cf276e9ef2b654ce069c4ccad95410aaae0b4b9561a18c0792781914d09eec94

Observation 9aec7586-a46e-4156-904a-5bcbc17f45b6 · inbound

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation cites this paper.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 28

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no resolver link, observed 2026-08-07T14:17:39.584779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:39.584779Z digest=sha256:369727bde4044d7ff11c15caee9930e450b857d3635dd50a266f75c7669ec8fd

Observation 65ed769e-6785-4ada-b1e6-b09d63a9b5dd · inbound

What is Adversarial Training for Diffusion Models? cites this paper.

What is Adversarial Training for Diffusion Models? Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 25

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no resolver link, observed 2026-08-07T13:32:45.798501Z

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source=pdf_text observed=2026-08-07T13:32:45.798501Z digest=sha256:ba68107d4d81163faec2181943a717fe09f1a4153b299dbc15a4a4c609bf4524

Observation c7689ee1-7283-4e48-95e8-940de6ddeb66 · inbound

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation cites this paper.

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 29

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no resolver link, observed 2026-08-07T11:44:16.566278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:44:16.566278Z digest=sha256:228cb264274bf1c4cf62378d7b65da91793901fdb66daa413b1df8948c7bc169

Observation 274a061f-d2b4-4ff1-95bb-6f564a7c17c4 · inbound

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection cites this paper.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 43

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no resolver link, observed 2026-08-07T11:24:00.439606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:00.439606Z digest=sha256:caf6f81318b29dc7b83c0cfad9f33d9757b5ad4539bb6b5ce14e9b9929e726bb

Observation 1c0f71a7-64c7-4f04-bc9d-845780db59ab · inbound

Is Perturbation-Based Image Protection Disruptive to Image Editing? cites this paper.

Is Perturbation-Based Image Protection Disruptive to Image Editing? Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 28

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no resolver link, observed 2026-08-07T10:46:07.872952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:07.872952Z digest=sha256:3fa16e664a946b12f6f5dfd64c2109a2b109ca25a49b7e0e679383661497498e

Observation 3d034727-abcc-45d1-ab47-9d98d92102c3 · inbound

Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study cites this paper.

Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 2023

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no resolver link, observed 2026-08-06T20:03:51.209198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:03:51.209198Z digest=sha256:8530577b153cb842036090d93b1ae44c049cd4fc26ceea510fd3a61e62f0eb94

Observation 57a40056-31fd-439b-94c9-22651e80d1b3 · inbound

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

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 29

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no resolver link, observed 2026-08-06T11:42:04.390906Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:42:04.390906Z digest=sha256:065ed5e4ce4fa9d6a5808ab1cec5e790e8d37d6ea00f7164f7ae9fbdfbf36cc5

Observation 388d41b2-8515-4281-9dd7-65009c117fdc · inbound

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media cites this paper.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 18

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no resolver link, observed 2026-08-05T17:29:06.625665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:29:06.625665Z digest=sha256:6ae8e69d997d19daaa03042321e9c248660eba3fe4b0b78fefac66d2b445ec4d

Observation 2288632e-4f5d-4876-8739-55db18563e72 · inbound

Immunizing Images from Text to Image Editing via Adversarial Cross-Attention cites this paper.

Immunizing Images from Text to Image Editing via Adversarial Cross-Attention Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 16

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no resolver link, observed 2026-08-04T17:56:30.884909Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:56:30.884909Z digest=sha256:96579e9cb47fb99cced357f6df0e356433b566557ea219c58df1eb39621612e4

Observation 8a376dfd-af94-4b8e-9e27-e1bb294e6184 · inbound

Vid-Freeze: Protecting Images from Malicious Image-to-Video Generation via Temporal Freezing cites this paper.

Vid-Freeze: Protecting Images from Malicious Image-to-Video Generation via Temporal Freezing Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-18T12:51:23.278474Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-18T12:50:08.156732Z digest=sha256:9a0e19596340712f42590f89f9b521ea91cc2a812f1679ebdbc8276d1a8d9451

Observation 5039ba0d-9950-4780-850d-3972c148722d · inbound

SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation cites this paper.

SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 31

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verified exact
arxiv_id, observed 2026-05-11T06:41:26.636118Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T17:30:36.462567Z digest=sha256:e12d66f1063d23a95b841e351e347c22f06845b90dc99d89e517a4a3afac3943

Observation 40725656-1dd4-42bf-9164-41c50e428559 · inbound

SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation cites this paper.

SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 26

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no resolver link, observed 2026-08-02T16:38:16.190662Z

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source=pdf_text observed=2026-08-02T16:38:16.190662Z digest=sha256:3c85410460b69aae3c8ea150434e7197702ee391922b32db6bab024bb83291a3

Observation 59a4bdf1-0210-49ef-81b7-bbeb1496a992 · inbound

Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation cites this paper.

Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-11T11:06:01.615486Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T15:10:22.366015Z digest=sha256:312e761a2af42ca77a5007ca48b546ae87375e0bd1c20181e1c4ffac3baf2fd5

Observation cbe2e6ff-fa20-4b60-8529-7b80598f6114 · inbound

Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations? cites this paper.

Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations? Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 20

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verified exact
arxiv_id, observed 2026-05-11T21:06:14.699945Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-08T06:42:31.456648Z digest=sha256:c137db7c83a9b43112e026c87cf6df461bebaa125a02d589793a22f78149ea48

Observation fe6fd310-2fcc-412b-ba35-835bbe44b3b3 · inbound

GuardMarkGS: Unified Ownership Tracing and Edit Deterrence for 3D Gaussian Splatting cites this paper.

GuardMarkGS: Unified Ownership Tracing and Edit Deterrence for 3D Gaussian Splatting Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-14T20:22:55.235454Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-14T20:21:25.804635Z digest=sha256:a9599881809b700a952c474d8c86785811ddd08cdfc707e92d779070f73821bd

Observation 0e7cf97c-3c01-4d9b-a44e-4f15eb592727 · inbound

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

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 42

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metadata mismatch
arxiv_id, observed 2026-07-01T22:36:16.680644Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-28T15:19:32.238094Z digest=sha256:814fc5b2c7ac0010e337b16d8ee3ebd99ac502f770caa70a311300643fdaece2

Observation c5a33377-2897-4987-8b0f-417ca0ba80e1 · inbound

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models cites this paper.

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 37

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verified exact
arxiv_id, observed 2026-07-03T10:07:56.144048Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T10:14:10.924755Z digest=sha256:33934010b3c6fac7a0047f96e2703894394880f6da3db31a62ed885b8320059b

Observation 762bd38d-4fea-47a3-a705-43a516f7e07e · inbound

Defending from GeoLocalization through Adversarial Road Trips cites this paper.

Defending from GeoLocalization through Adversarial Road Trips Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 23

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no resolver link, observed 2026-07-12T03:35:47.892188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:35:47.892188Z digest=sha256:c8cf6d5c76d340a8fdc961ca1db7fcfa128d064da6c5238b3025d38e99930dd4

Observation 37249275-6776-473d-8beb-226f466b958e · inbound

Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization cites this paper.

Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 30

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no resolver link, observed 2026-08-02T05:32:29.418109Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:32:29.418109Z digest=sha256:ae7855c7665b63ebe634509525abe6b3500b49be8c29b3776d9411bd245bcf10

Observation 266602c0-c2e3-4db9-af17-401c0c982cd2 · inbound

Cross-Branch Conflict as a Shield: Safeguarding Facial Identities in Unified Multimodal Image Editing cites this paper.

Cross-Branch Conflict as a Shield: Safeguarding Facial Identities in Unified Multimodal Image Editing Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 6

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no resolver link, observed 2026-08-01T19:41:46.484109Z

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source=arxiv_source observed=2026-08-01T19:41:46.484109Z digest=sha256:fbbb18ea75bf8772b79d7eb661a8ea09db518c9e43bdb07c44c31eb412704a0a

Observation 73643aa3-1f03-442f-bdfa-91e82d630662 · inbound

Cross-Branch Conflict as a Shield: Safeguarding Facial Identities in Unified Multimodal Image Editing cites this paper.

Cross-Branch Conflict as a Shield: Safeguarding Facial Identities in Unified Multimodal Image Editing Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 6

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no resolver link, observed 2026-08-04T04:17:40.760364Z

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source=arxiv_source observed=2026-08-04T04:17:40.760364Z digest=sha256:839d953c6b6cca5dfb5e14d72a2deaf08746048cfd38377353df6b4ed80dd8f9

Observation bcb69141-af29-4be5-9d87-0df59545ee3c · inbound

SRAP: SVD-Refined Adversarial Perturbations for Imperceptible Face-Swap Defense cites this paper.

SRAP: SVD-Refined Adversarial Perturbations for Imperceptible Face-Swap Defense Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 16

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no resolver link, observed 2026-08-05T19:47:47.745822Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:47:47.745822Z digest=sha256:f55ad7b9223c4d56768ba06e9f7bd9ce8871be0d85eabb3c6db6e4e9410069f7