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Paper Citation Record · LEDGER

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data

As of 12 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2412.06248.

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

pith.paper-citation-record.v1
2412.06248 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:57:41.175476Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:01.884825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.430540Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact4
  • verified fuzzy31
  • unresolved24
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a53eab42-1016-437e-8624-2210c5af6c14 · outbound

This paper cites Leaving Reality to Imagination: Robust Classification via Generated Datasets.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Leaving Reality to Imagination: Robust Classification via Generated Datasets

Reference 1

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unresolved
no resolver link, observed 2026-08-11T19:57:41.017290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.017290Z digest=sha256:809208f661b8313e5cc2b01d274be81d709686e934fc052b6041b985ada4e849

Observation 1da7a129-7840-417a-8c54-21df3f93f617 · outbound

This paper cites A roadmap for greater public use of privacy-sensitive government data: Workshop report.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data A roadmap for greater public use of privacy-sensitive government data: Workshop report

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-11T19:57:41.376424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.020845Z digest=sha256:8332738049bad5c44c67631583f02317c483d6a250d2605949851b84bc41da3a

Observation f40a67fe-5a30-4816-b6bf-352c91a75937 · outbound

This paper cites An efficient privacy protection scheme for data secu- rity in video surveillance.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data An efficient privacy protection scheme for data secu- rity in video surveillance

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.679785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.023572Z digest=sha256:6199765fdea2f77f09cc66f6a04c965a2d74f0c0f9304c1ac0e418a55d72bfe0

Observation 7385c428-d2ac-4933-acf1-1712a3ff4a46 · outbound

This paper cites Guidelines on anonymisation: Minsunderstandings related to anonymisation.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Guidelines on anonymisation: Minsunderstandings related to anonymisation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.672621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.026652Z digest=sha256:5f2581e7c7593c965fc8bae3c3d6cf4e17657aa57da2c69bb86e19503d355c16

Observation 7f3db775-db85-4383-b50b-c04799fb63ed · outbound

This paper cites The pascal visual object classes (voc) challenge.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data The pascal visual object classes (voc) challenge

Reference 5

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no resolver link, observed 2026-08-11T19:57:41.029421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.029421Z digest=sha256:f9d400b50599a6193bb5e57e12660f45867e710d61e1ae2c858f4b9e6d18c14f

Observation be2c0752-f807-4284-bc5c-b613fe5d6fa4 · outbound

This paper cites Stylegan-human: A data-centric odyssey of human genera- tion.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Stylegan-human: A data-centric odyssey of human genera- tion

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.032455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.032455Z digest=sha256:4a7aea17c3e6b60ae76b6c220f52332141d819edad9409030c5ba3a34788b342

Observation debb94f4-7c78-4220-84a7-bceca6880da1 · outbound

This paper cites Humans in 4D: Reconstructing and tracking humans with transformers.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Humans in 4D: Reconstructing and tracking humans with transformers

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.657890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.035252Z digest=sha256:eda5dd65a2d0feb91f264527457b926e2347c18e6f0db5c9d46be48ae1664336

Observation 167ca046-86cd-40d5-b63f-46896d7ddf23 · outbound

This paper cites Is synthetic data from generative models ready for image recognition?.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Is synthetic data from generative models ready for image recognition?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.037858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.037858Z digest=sha256:b42558d9753d04fa11e82d75542ff025f4770e03485fb1b275efd628cdab4154

Observation dcda715e-3905-402a-8530-ac41aa12414a · outbound

This paper cites Ganonymization: A gan- based face anonymization framework for preserving emo- tional expressions.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Ganonymization: A gan- based face anonymization framework for preserving emo- tional expressions

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.650660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.040819Z digest=sha256:66bc15e189de4ec699390a6c3801ff3f24926becf01bc88e5346b6eb51e15137

Observation 67c9cf14-fd53-443d-8a50-8e1e40d34e35 · outbound

This paper cites Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:57:41.271845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.043271Z digest=sha256:025bc8403de51efc8b9da57d7ee6a4d6b1de07f95fd95a140a503719a022a454

Observation 3281e5d2-fa09-495b-b1e5-273cdb7c60ea · outbound

This paper cites Denoising dif- fusion probabilistic models.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Denoising dif- fusion probabilistic models

Reference 11

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no resolver link, observed 2026-08-11T19:57:41.046264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.046264Z digest=sha256:4c7a9014e2b724722dff92fe917da774b8d8f69ae0e4c7e1d97e84c0909ecec5

Observation fff86edd-01c6-4b32-9f61-67c3b517c6f9 · outbound

This paper cites Humannorm: Learning normal diffusion model for high-quality and realistic 3d hu- man generation.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Humannorm: Learning normal diffusion model for high-quality and realistic 3d hu- man generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.639800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.049019Z digest=sha256:491c524bebb4ae11301d5231098693735360cc9fefed492a05ff08620d4c465a

Observation b23a753a-d96e-48a6-b040-a558b0a84f37 · outbound

This paper cites Deepprivacy2: To- wards realistic full-body anonymization.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Deepprivacy2: To- wards realistic full-body anonymization

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.632362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.051508Z digest=sha256:23ad50324fdf52adf8286c7fc20938fdcc0a5be58873c240dbadcd9bcbf76a6c

Observation 362ab6eb-17c5-4921-958f-5372165ca48f · outbound

This paper cites Realistic full-body anonymization with surface- guided gans.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Realistic full-body anonymization with surface- guided gans

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.053855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.053855Z digest=sha256:d588380df488a4f94f122d2c905857685de538b456b860508c7c2b14150bdb7e

Observation 8722cb8a-9212-4f1b-aed5-2b4a3d2277e0 · outbound

This paper cites Guide to the uk general data protection regulation (uk gdpr).https://ico.org.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Guide to the uk general data protection regulation (uk gdpr).https://ico.org

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.621512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.056509Z digest=sha256:e4a07ef3d7038e2a6fcd9c14946afec9c2ab78ad2193241fdeb8e4310ad4d3a8

Observation 0cc21fd4-610f-4f1a-95e3-153dfff43085 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Mimic-iii, a freely accessible critical care database

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.614063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.059004Z digest=sha256:63ec1037558dc8ba5ca85857c647574fb598ddeb0d941964d0b1cf5f2b785e39

Observation c9e3ca55-9e5a-4751-b36a-9e021e860777 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data A style-based generator architecture for generative adversarial networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.061443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.061443Z digest=sha256:2de84b15abc6c5436491d85d1d52868fcfba8f55cd4f8d7c5e1ffdf253ad2768

Observation 35768071-951c-4e68-8aac-4013e4fc8193 · outbound

This paper cites Ldfa: Latent diffusion face anonymiza- tion for self-driving applications.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Ldfa: Latent diffusion face anonymiza- tion for self-driving applications

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.602946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.063893Z digest=sha256:14f7410456a49174787b3051bca5077de02d46a6193141a04ec316ae15ea279b

Observation cb00b9a0-38a8-4203-85ce-2facea05a4b0 · outbound

This paper cites Abaw: Learning from synthetic data & 9 multi-task learning challenges.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Abaw: Learning from synthetic data & 9 multi-task learning challenges

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.595582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.066302Z digest=sha256:41351efe981f132f24cc0b22bc86403784b16c51945050ca761ec1be453a0bdc

Observation 0b4f725e-b1b0-40b3-8b62-2dd00f69e7ef · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.588019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.068830Z digest=sha256:711a3aa9199b149bbef22f7a095b07f3bb23c175070d5796c0522e4ea22ec9fc

Observation d3bf6162-1b3a-482d-b56e-e311ef9abe41 · outbound

This paper cites California consumer privacy act (ccpa).

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data California consumer privacy act (ccpa)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.580449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.071377Z digest=sha256:38b980fc9a51a37aa0028fc5a9081b499c0002ae8e0ccf50dbb4a040917451a7

Observation e179cd6a-709c-428e-a4ae-68cf63ce5cdb · outbound

This paper cites Fidler, and A.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Fidler, and A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.573025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.074049Z digest=sha256:b9d3456219b6909580b8d3ee49009d2f8796dac40ecb6835fe93c40597016bd6

Observation 4d5826a0-5c81-4d01-b62b-6d3861d2b111 · outbound

This paper cites Reliable crowd- sourcing and deep locality-preserving learning for expres- sion recognition in the wild.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Reliable crowd- sourcing and deep locality-preserving learning for expres- sion recognition in the wild

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.565858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.076485Z digest=sha256:1090737390d85ebe80efba481efae21d8d498e0da78cbe5c62d768de9698471a

Observation 7a6b3c9a-00c3-4b07-bb12-1369f4a378ba · outbound

This paper cites Microsoft coco: Common objects in context.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Microsoft coco: Common objects in context

Reference 24

Resolution
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no resolver link, observed 2026-08-11T19:57:41.079004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.079004Z digest=sha256:2c8b34b953f42a90f1ed94725312fadc0c26800087e36ae19cb7df3d33d2c1f6

Observation acc65bb5-5d2b-40ea-b930-e3cc4c9b6995 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.081371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.081371Z digest=sha256:bde8c498c06e901c502a59c23046c3ab7da5db359451ffc64e049443a44d340b

Observation 57f1c437-c206-4f58-8a57-35be923ea59c · outbound

This paper cites Large-scale celebfaces attributes (celeba) dataset.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Large-scale celebfaces attributes (celeba) dataset

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.554016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.084128Z digest=sha256:832d786b5e8dffc0f99636dbd0d1de60483c8b4a2f2cba60c53278fcf9877928

Observation 5ec66419-212c-447d-8004-462b662288b6 · outbound

This paper cites The chicago face database: A free stimulus set of faces and norm- ing data.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data The chicago face database: A free stimulus set of faces and norm- ing data

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.546506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.086636Z digest=sha256:44e7160fd12e0d71f9ccf734bca335c8de86c97b33f7aacb78d72054965dd621

Observation 5cc2a052-890b-43a0-8902-8caf057e743e · outbound

This paper cites Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.089135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.089135Z digest=sha256:4e50598aae23f3a7db205cf6618a89f12cc8601107200ef6128b7bb189b6cda9

Observation 2e3c9c28-dbe7-4ca4-8a87-384365862a04 · outbound

This paper cites On the Challenges and Opportunities in Generative AI.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data On the Challenges and Opportunities in Generative AI

Reference 29

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unresolved
no resolver link, observed 2026-08-11T19:57:41.092318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.092318Z digest=sha256:05f11f777b88af284b181c5da1689a7df9b11deb4719e604c131a88c6b2873c6

Observation b197a0e5-b85b-4749-9f62-ad4bc6aefcbf · outbound

This paper cites Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:57:41.244226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.095252Z digest=sha256:57384c41f69fc578066bdc98aee22eedec9942d2fd92a29fe87333a3571c0332

Observation 4fb31a97-f98d-41c7-85d2-6dbed462f52e · outbound

This paper cites Pyrender.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Pyrender

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.539126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.098310Z digest=sha256:261235698ec47e85d43f05d81c3d603b4ca08dab3e65b6e0e56215f112ca94a9

Observation 70316d03-f394-41b2-9307-2903f26b5a90 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.101087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.101087Z digest=sha256:615f33bb78ae5d026dbefc210286bc0802f53686b0e21342ecd70a50d805bfd4

Observation 49d0c8c7-c544-4eca-98d0-e6384529836b · outbound

This paper cites an unresolved cited work.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-11T19:57:41.531732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.103841Z digest=sha256:811620b359ff3abac73fe90ddb17b32ca17729734d77b3f2ccd3e771ae266e07

Observation 09fab9f0-0dfa-469e-81ad-5104f63514e5 · outbound

This paper cites PerceptAnon: Exploring the human perception of image anonymization beyond pseudonymization for GDPR.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data PerceptAnon: Exploring the human perception of image anonymization beyond pseudonymization for GDPR

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.524155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.106316Z digest=sha256:c182bcf8fa70479fd166bf13af95bd043251810a852834071bec588f06c1935b

Observation 3778efb2-ee3f-46fc-8697-538a4cca6172 · outbound

This paper cites Data and its (dis) contents: A survey of dataset development and use in ma- chine learning research.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Data and its (dis) contents: A survey of dataset development and use in ma- chine learning research

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.516889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.108776Z digest=sha256:df0fb6a68eb4af0a7cad5ddcd73c1d16e2455b18648158859891f8712d8a3865

Observation 8efd3cad-959e-4b82-bfc7-86bbc622d97d · outbound

This paper cites Scalable diffusion models with transformers.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Scalable diffusion models with transformers

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.111422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.111422Z digest=sha256:de6d7b4ed764057ba3c9a6eb8d7cf0d3d31c6b3315fb056893454248550eb49b

Observation da6168c9-04c9-4cd5-bfaf-6ac3256cf213 · outbound

This paper cites Latent Diffusion Models for Attribute-Preserving Image Anonymization.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Latent Diffusion Models for Attribute-Preserving Image Anonymization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.114055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.114055Z digest=sha256:b7b56daaf679de98113c7686c5f5763e7421d9710fa2499dc52cf50885f38b48

Observation f12409ed-0ac8-42a4-ad2e-01a415511cce · outbound

This paper cites State of the art on diffusion models for visual computing.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data State of the art on diffusion models for visual computing

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.505416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.116700Z digest=sha256:b9dc1b1fb538887fdeaef9074d70fa91770d77e91ddb1f6051c2d02d51dea860

Observation 58c76d68-9778-437d-b69f-8a32bf0ace4e · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.119157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.119157Z digest=sha256:3f5f62164fbfb5e5f92cbebca0fc25cd905c99700a55420656338cbf0bf94c8c

Observation 36f52412-35ca-44b4-bd1b-de7c84afb3ab · outbound

This paper cites Zero-shot text-to-image generation.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Zero-shot text-to-image generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.121830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.121830Z digest=sha256:309875943b67d1c56b5d0973c9455c8bbecafa4d5de2494a5409302fc9c1e133

Observation af7f5d13-ac21-491b-b7d8-9717b5bb22b8 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.124428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.124428Z digest=sha256:832ea7584d611315dd1b58a7d1715dd9b236d435353803a539ce46f485ade62c

Observation b7136347-9ba7-49c3-826d-bbb283b2de5e · outbound

This paper cites Regulation (eu) 2016/679 of the eu- ropean parliament and of the council.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Regulation (eu) 2016/679 of the eu- ropean parliament and of the council

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.493720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.127158Z digest=sha256:feca02bbb3e960ff94633e2c4df402f3b8fa96f12c94a2a8510739455cffded3

Observation 15940ece-d3b2-4b37-9513-fe7042d902ad · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.486196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.129582Z digest=sha256:abe01a6eaf489717b15fdae338d0d469498d01ac7fc59ee452dade6157a1b2ca

Observation 5b70e3fd-8f55-4eed-b7c5-4277d85d1cea · outbound

This paper cites Challenge design and lessons learned from the 2018 differential privacy challenges.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Challenge design and lessons learned from the 2018 differential privacy challenges

Reference 44

Resolution
verified exact
doi, observed 2026-08-11T19:57:41.198305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.132165Z digest=sha256:f535fb6e4c6f2edfd59b0858a44d46064f575cebee5585aafd53403c7c05b0ef

Observation 0e4c9942-479d-40b6-a795-0dfefe3cab4f · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and B.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Blattmann, Dominik Lorenz, Patrick Esser, and B

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.478785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.134751Z digest=sha256:bbc2d34981d524382aea5736fa4382dfdad961db051019b3c0c4afbb24219486

Observation 882e4dfa-979d-42ab-8e9d-2c6ef5f19c7c · outbound

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

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data High-resolution image synthesis with latent diffusion models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.137374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.137374Z digest=sha256:a98001d293ce075101cd9230fe0d98bbf92933eb63e672784a95395f0fd7f52a

Observation c8ae7653-2994-4fa6-a002-5c2fbd99413a · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.139813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.139813Z digest=sha256:3e4f72c6ea2a1e69ad15e8f645118a808a3093f51d3362f21945950541de8018

Observation 4c3744e1-13b5-490f-92a8-7310a4179367 · outbound

This paper cites Fake it till you make it: Learning trans- ferable representations from synthetic imagenet clones.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Fake it till you make it: Learning trans- ferable representations from synthetic imagenet clones

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.142540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.142540Z digest=sha256:434444560b45b3f4341e9b22b78d86c9827ff11782b3e5f3f6ad1d678d4227e8

Observation b6d763c1-2426-4e01-8c40-caefe13079fc · outbound

This paper cites Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.145038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.145038Z digest=sha256:e9b78eac8b3bd80806bebe3ab58e0260a123047981c9ac20aff136435ac7d4d0

Observation 77bc2489-a131-4b32-a02b-f86c030715df · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Objects365: A large-scale, high-quality dataset for object detection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.147716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.147716Z digest=sha256:bb70d3e02c1318c6d1b28e71dafe655de902fb15fae8535bdfbc663389ebce95

Observation 4fcaf90c-917a-4fab-8a0b-d8fcb08cf304 · outbound

This paper cites Decouple- and-sample: Protecting sensitive information in task agnos- tic data release.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Decouple- and-sample: Protecting sensitive information in task agnos- tic data release

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.459816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.150115Z digest=sha256:5c366ae6761e19513bcdd76d68f887553256fed607202c16e8f9ac0c85eae0f6

Observation fda4eb7f-81a6-4463-b1c3-6480b679b8a6 · outbound

This paper cites Privacy as- sessment on reconstructed images: Are existing evaluation metrics faithful to human perception? Advances in Neural Information Processing Systems, 36, 2024.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Privacy as- sessment on reconstructed images: Are existing evaluation metrics faithful to human perception? Advances in Neural Information Processing Systems, 36, 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.452019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.153447Z digest=sha256:ce28cf3ce8f9a1123e8ec5cac39f9be08231faf7964d5399cabcfdba0d6646e2

Observation bae64927-19ee-42b1-8b01-42ee23550488 · outbound

This paper cites Making sense of cron- bach’s alpha.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Making sense of cron- bach’s alpha

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.444344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.156663Z digest=sha256:4655ea330f5f3360b1327f809b0209c01568e237982354e5370db05146cfab00

Observation 351d5c1c-3e8e-44d4-a2d5-ee7e6d3ad815 · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Fake it till you make it: face analysis in the wild using synthetic data alone

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:41.159038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:41.159038Z digest=sha256:5f53029b275f9faa4ce0da2ec1a1d1a0bc32795715bd9a8dfe896ff304cf46a2

Observation f7b5d72a-22c5-4440-abbe-d6438772fb9c · outbound

This paper cites A study of face obfuscation in ima- genet.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data A study of face obfuscation in ima- genet

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.431956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.161435Z digest=sha256:4c494f2454092fadbd96a56c5080abb8680d40a34c121cee962c0010bf0eacdf

Observation cb1336f6-3bb7-4d36-a9e2-06a82d70c1ab · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Adding conditional control to text-to-image diffusion models, 2023

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.423121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.163888Z digest=sha256:d1c62126898b1cc07b96829c721fe69bffe15ea5c807ced6bbf675f5df4f3399

Observation cbc56aba-5149-4c87-9c5f-01312058a8f7 · outbound

This paper cites A person with no beard.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data A person with no beard

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.415219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.166297Z digest=sha256:e4470c85ae7614b600e7c389b9214500ab1634fd83d12be23580d25053fae413

Observation 43106c4d-c2b2-4510-b022-61f80d0d357a · outbound

This paper cites 9, 12 original SD RefSDDP2 Figure 9.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data 9, 12 original SD RefSDDP2 Figure 9

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.406852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.168898Z digest=sha256:38e2270b0f1cf8d6168ac268afddcc2b8407ae29e18106643c41840fb5b5a968

Observation fcedab70-9cfb-4611-a135-ed5c4fc9a69b · outbound

This paper cites For each evaluation, we provide a detailed breakdown of the categories and at- tributes, present all results for each category, and include sample RefSD-generated images.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data For each evaluation, we provide a detailed breakdown of the categories and at- tributes, present all results for each category, and include sample RefSD-generated images

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:57:41.399198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.171617Z digest=sha256:514f5444e5dffed08a4f35b90fa568c3af7f66cc1895dd2c9571e2007195edd2

Observation 4bf7bac5-2620-444b-bf6f-d630d9124bfa · outbound

This paper cites an unresolved cited work.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data Unresolved cited work

Reference 60

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T19:57:41.391253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:57:41.175476Z digest=sha256:1618effeb593e7cc60fef8e59999db379902f95a94b4cc5ad016025e2fa0e68e

Pith citing papers

Observation ac665552-2c17-49a4-a4a1-22c8f57d6113 · inbound

SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images cites this paper.

SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:18:03.431845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T09:39:11.685828Z digest=sha256:f41b1bf56764284e1b6d61f7a68a8728fad2ad483028cf0721cca51f6131f6a2

Observation f6028ccc-90cb-4a18-857b-7bbdf12c102e · inbound

Diffuse the object, keep its label: curating detector training data from a few unlabeled photographs via VLM-built 3D vegetation scenes cites this paper.

Diffuse the object, keep its label: curating detector training data from a few unlabeled photographs via VLM-built 3D vegetation scenes Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T12:42:01.884825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:42:01.884825Z digest=sha256:5240b7114ff59bb75424ff8cdcd1ebd7cf162504f72f496ef8b89d855449bfa4