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Paper Citation Record · LEDGER

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2512.12086.

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

pith.paper-citation-record.v1
2512.12086 v2

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measured 41 of 41 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T16:47:52.219412Z

measured 41 of 41 standing notices

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

measured 0 of 0 inbound itemization

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41 of 41 outbound references displayed

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Outbound references

Observation 0892b25b-63f0-430f-b9bc-8a7209e2be5c · outbound

This paper cites Mobile sensor data anonymization,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Mobile sensor data anonymization,

Reference 1

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Observation d827a3be-03c6-4c7e-9227-72e3c43206cd · outbound

This paper cites Dp-vae: Human-readable text anonymization for online re- views with differentially private variational autoencoders,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Dp-vae: Human-readable text anonymization for online re- views with differentially private variational autoencoders,

Reference 2

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Observation d51e9f4e-1b78-48e0-a4e1-198a06ef6109 · outbound

This paper cites Blind-touch: Homomorphic encryption-based distributed neural network inference for privacy- preserving fingerprint authentication,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Blind-touch: Homomorphic encryption-based distributed neural network inference for privacy- preserving fingerprint authentication,

Reference 3

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Observation aae32006-2d79-45ea-9bbe-217c6ed8f8f7 · outbound

This paper cites ObscureNet: Learning attribute-invariant latent representation for anonymizing sensor data,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation ObscureNet: Learning attribute-invariant latent representation for anonymizing sensor data,

Reference 4

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Observation 7d22cba3-5ff6-4651-a22f-340c06495ae1 · outbound

This paper cites Privdiffuser: Privacy-guided diffusion model for data obfuscation in sensor networks,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Privdiffuser: Privacy-guided diffusion model for data obfuscation in sensor networks,

Reference 5

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Observation 02ad6561-35de-497e-bdde-71cc49bbd8e4 · outbound

This paper cites Privacy adversarial network: representation learning for mobile data privacy,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Privacy adversarial network: representation learning for mobile data privacy,

Reference 6

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Observation b82cc997-81fc-462f-b634-56533c8a313d · outbound

This paper cites DeepObfuscator: Obfuscating intermediate representations with privacy-preserving adversarial learning on smartphones,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation DeepObfuscator: Obfuscating intermediate representations with privacy-preserving adversarial learning on smartphones,

Reference 7

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Observation 34db9c4c-6693-4793-9389-c6ffea98ff52 · outbound

This paper cites TIPRDC: Task-independent privacy-respecting data crowd- sourcing framework for deep learning with anonymized intermediate representations,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation TIPRDC: Task-independent privacy-respecting data crowd- sourcing framework for deep learning with anonymized intermediate representations,

Reference 8

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Observation 5e268235-d1f5-4baa-afea-8ce66f5156f1 · outbound

This paper cites Olympus: Sensor privacy through utility aware ob- fuscation.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Olympus: Sensor privacy through utility aware ob- fuscation

Reference 9

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Observation 252067a7-7115-4a34-8289-c544fd2fe66c · outbound

This paper cites MaSS: Multi-attribute selective suppression for utility- preserving data transformation from an information-theoretic perspec- tive,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation MaSS: Multi-attribute selective suppression for utility- preserving data transformation from an information-theoretic perspec- tive,

Reference 10

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Observation e8c2f245-0e37-4350-aed7-4f258755868f · outbound

This paper cites Adversarially learned representations for information obfuscation and inference,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Adversarially learned representations for information obfuscation and inference,

Reference 11

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Observation 1188612b-940a-4c09-b41d-55e12f6d8c2c · outbound

This paper cites Privacy-preserving deep action recognition: An adversarial learning framework and a new dataset,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Privacy-preserving deep action recognition: An adversarial learning framework and a new dataset,

Reference 12

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Observation c15e2286-e39b-48cf-b604-b0d2fe8ed97e · outbound

This paper cites Spact: Self-supervised privacy preservation for action recognition,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Spact: Self-supervised privacy preservation for action recognition,

Reference 13

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Observation 4fa67952-e28e-4b4d-b184-4407a0ba277e · outbound

This paper cites Disentangled and controllable face image generation via 3d imitative-contrastive learning,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Disentangled and controllable face image generation via 3d imitative-contrastive learning,

Reference 14

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Observation f4cb95f6-882e-4633-a398-12772ae38606 · outbound

This paper cites Learning disentangled representation by exploiting pretrained generative models: A contrastive learning view,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Learning disentangled representation by exploiting pretrained generative models: A contrastive learning view,

Reference 15

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Observation 0eaaa34f-8748-43c0-b4f2-927ccbc42478 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Representation Learning with Contrastive Predictive Coding

Reference 16

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Observation 7dfaceea-1901-474c-a653-bd820e682582 · outbound

This paper cites Uncovering the disentanglement capability in text-to- image diffusion models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Uncovering the disentanglement capability in text-to- image diffusion models,

Reference 17

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Observation 0a3cfbd6-294b-46d7-8800-585c4ecb4264 · outbound

This paper cites Disdiff: Unsupervised disentanglement of diffusion probabilistic models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Disdiff: Unsupervised disentanglement of diffusion probabilistic models,

Reference 18

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Observation af79b2f1-2548-4e50-b2b0-eed8e310bcae · outbound

This paper cites Noiseclr: A contrastive learning approach for unsupervised discovery of interpretable directions in diffusion models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Noiseclr: A contrastive learning approach for unsupervised discovery of interpretable directions in diffusion models,

Reference 19

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Observation 2fc40687-ec48-4228-a2a3-0259222b46df · outbound

This paper cites Deadiff: An efficient stylization diffusion model with dis- entangled representations,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Deadiff: An efficient stylization diffusion model with dis- entangled representations,

Reference 20

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Observation 43e8c97d-e7be-43af-ae29-300abd9e67e3 · outbound

This paper cites High-resolution image synthesis with latent diffu- sion models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation High-resolution image synthesis with latent diffu- sion models,

Reference 21

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Observation 2558369a-adfd-4977-b08a-bb63798fa24b · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Learning transferable visual models from natural lan- guage supervision,

Reference 22

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Observation 5ee22b32-eac2-4d53-bfa4-9f8849524a00 · outbound

This paper cites Diffusegae: controllable and high-fidelity image manipulation from disentangled representation,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Diffusegae: controllable and high-fidelity image manipulation from disentangled representation,

Reference 23

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Observation 74f470bc-992f-4d16-941d-a4f191fe359f · outbound

This paper cites Diffusion model with cross attention as an inductive bias for disentanglement,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Diffusion model with cross attention as an inductive bias for disentanglement,

Reference 24

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Observation 4dad85d8-00ae-4c28-a278-62881432b2e5 · outbound

This paper cites Factorized diffusion autoencoder for unsuper- vised disentangled representation learning,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Factorized diffusion autoencoder for unsuper- vised disentangled representation learning,

Reference 25

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Observation 8e83082e-cb85-4988-b534-2ec01bf5c968 · outbound

This paper cites Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Reference 26

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Observation c8b6f280-5b5a-4ab4-80d8-c27ad658221f · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Diffusion models beat GANs on image synthesis,

Reference 27

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Observation 3c12af28-530d-44b9-9c95-53a392d49345 · outbound

This paper cites Denoising diffusion probabilistic models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Denoising diffusion probabilistic models,

Reference 28

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Observation 50b42db8-e95a-4395-8177-0359566fc886 · outbound

This paper cites Auto-encoding variational bayes,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Auto-encoding variational bayes,

Reference 29

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Observation bd4bc1a1-b4e9-455e-b350-95a15f6f631d · outbound

This paper cites Classifier-Free Diffusion Guidance.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Classifier-Free Diffusion Guidance

Reference 30

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Observation 6dd72071-8434-4390-83e8-b10e2b4365e4 · outbound

This paper cites Towards test-time refusals via concept negation,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Towards test-time refusals via concept negation,

Reference 31

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Observation d2b5a13a-9a89-49f5-a444-12ff71f1283a · outbound

This paper cites Compositional visual generation with composable diffu- sion models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Compositional visual generation with composable diffu- sion models,

Reference 32

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Observation 437279c6-51d0-481a-9816-e71649b848dd · outbound

This paper cites Universal guidance for diffusion models,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Universal guidance for diffusion models,

Reference 33

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Observation ed14de42-7e0a-4f18-ba04-548f8a59fe63 · outbound

This paper cites Human daily activity and fall recognition using a smartphone’s acceleration sensor,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Human daily activity and fall recognition using a smartphone’s acceleration sensor,

Reference 34

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Observation f5fc9417-51b0-49cd-a7dc-7fa90e9460ba · outbound

This paper cites A dataset for wi-fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation A dataset for wi-fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments,

Reference 35

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Observation 9634e175-e1d1-485a-bfa9-00c9c55bab17 · outbound

This paper cites Audiomnist: Exploring explainable artificial intelligence for audio analysis on a simple benchmark,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Audiomnist: Exploring explainable artificial intelligence for audio analysis on a simple benchmark,

Reference 36

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Observation c72114e0-9ef9-4934-b5b6-3a9e004d18bf · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 37

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Observation 4b8422f3-cdc9-40ca-a6f5-9c2ba3f927d4 · outbound

This paper cites Age and gender estimation of unfiltered faces,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Age and gender estimation of unfiltered faces,

Reference 38

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Observation 5df0d49c-c988-40b3-8349-9cc57b4ba406 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation U-net: Convolutional networks for biomedical image segmentation,

Reference 39

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Observation 9764a1de-1821-4a8a-985a-4d2e10ccd082 · outbound

This paper cites Denoising Diffusion Implicit Models.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Denoising Diffusion Implicit Models

Reference 40

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Observation 6adae8ad-c241-4650-a81f-72262bcc5a18 · outbound

This paper cites Mutual information neural estimation,.

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation Mutual information neural estimation,

Reference 41

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Pith citing papers

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