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Paper Citation Record · LEDGER

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.23731.

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

pith.paper-citation-record.v1
2506.23731 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:39:24.090370Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved6
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 692da012-0e8f-4fd4-8bd1-d030046df05b · outbound

This paper cites Eth- ical considerations for responsible data curation.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Eth- ical considerations for responsible data curation

Reference 1

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Observation 5a7324b5-46df-450f-8c9c-1bda8d9ce0f9 · outbound

This paper cites The brittleness of ai- generated image watermarking techniques: Examining their robustness against visual paraphrasing attacks, 2024.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models The brittleness of ai- generated image watermarking techniques: Examining their robustness against visual paraphrasing attacks, 2024

Reference 2

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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.

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Observation 4a2f668f-2a8e-4f28-95d1-485b93e179d6 · outbound

This paper cites Generative pre- training from pixels.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Generative pre- training from pixels

Reference 3

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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.

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Observation 55e49bba-e122-4bf9-bc08-e917292f1525 · outbound

This paper cites Pseudorandom Error-Correcting Codes.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Pseudorandom Error-Correcting Codes

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8517f5c8-61a2-4f53-8c69-8bf70c66da92 · outbound

This paper cites Undetectable watermarks for language models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Undetectable watermarks for language models

Reference 5

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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 2026-08-09T06:31:02.800959+00:00.

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Observation 3ad21b65-16a7-471b-9744-0646d3e8e32c · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Taming transformers for high-resolution image synthesis

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d349e87e-f2a5-44e7-a082-873abc748f5d · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models The stable signature: Rooting watermarks in latent diffusion models

Reference 7

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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.

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Observation 038eb2da-405a-4171-bf15-a20f0c276bf4 · outbound

This paper cites An Undetectable Watermark for Generative Image Models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models An Undetectable Watermark for Generative Image Models

Reference 8

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no resolver link, observed 2026-08-06T21:39:23.989260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 167dbb11-644b-4e8c-a184-394337e31573 · outbound

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

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models GANs trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 9

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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 2026-08-09T06:31:02.800959+00:00.

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Observation 38cab8a4-cc0a-40c0-b0f1-0542bdd4bcd3 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Denoising diffu- sion probabilistic models

Reference 10

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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.

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Observation 21897dc2-35a0-4178-8509-c3e9b343b2e4 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 11

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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 2026-08-09T06:31:02.800959+00:00.

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Observation bff8499e-7add-4f2f-9faf-2af227392a8d · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Elucidating the design space of diffusion-based generative models

Reference 12

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Source-reported events for the cited work

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Observation a9873123-2fc3-481c-a4c7-33a55d3b5cdf · outbound

This paper cites A watermark for large language models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models A watermark for large language models

Reference 13

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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.

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Observation f8fbf600-8b34-4e03-ba81-028213c04d15 · outbound

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

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Learning multiple layers of features from tiny images

Reference 14

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no resolver link, observed 2026-08-06T21:39:24.009378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed95df3f-c53e-4eb3-9a1b-ebd957ef6e4c · outbound

This paper cites Microsoft coco: Common objects in context.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Microsoft coco: Common objects in context

Reference 15

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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 2026-08-09T06:31:02.800959+00:00.

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Observation 87290776-148d-483c-b99e-f5afcd60328a · outbound

This paper cites Image watermarks are re- movable using controllable regeneration from clean noise.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Image watermarks are re- movable using controllable regeneration from clean noise

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.536679Z

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.

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Observation 752bf43f-6db7-48f4-9170-afb2f384dba3 · outbound

This paper cites Deep learning face attributes in the wild.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Deep learning face attributes in the wild

Reference 17

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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.

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Observation ae5a72c8-7096-403e-b564-5c2d7951cd6e · outbound

This paper cites Wanet - impercepti- ble warping-based backdoor attack.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Wanet - impercepti- ble warping-based backdoor attack

Reference 18

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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.

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Observation 8e771b03-8481-4072-8494-cc55c32ee78e · outbound

This paper cites Con- ditional image generation with pixelcnn decoders.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Con- ditional image generation with pixelcnn decoders

Reference 19

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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.

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Observation fb81e7e0-e2db-4f4b-b294-f4970c0f87ab · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models DINOv2: Learning Robust Visual Features without Supervision

Reference 20

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Source-reported events for the cited work

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Observation dc8dece2-16a3-4295-a1f8-0cc4d89ceb43 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Learn- ing transferable visual models from natural language super- vision

Reference 21

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no resolver link, observed 2026-08-06T21:39:24.033521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d2089070-98b7-4ff4-a8bd-4ab03f20a45e · outbound

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

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models High-resolution image syn- thesis with latent diffusion models

Reference 22

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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 2026-08-09T06:31:02.800959+00:00.

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Observation f8b84df3-8efd-4329-bebc-e4512c8fff76 · outbound

This paper cites Radioactive data: tracing through training.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Radioactive data: tracing through training

Reference 23

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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.

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Observation 6b8be386-19fe-43b9-8ec4-8bf04d27f0e5 · outbound

This paper cites Watermarking makes lan- guage models radioactive.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Watermarking makes lan- guage models radioactive

Reference 24

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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 2026-08-09T06:31:02.800959+00:00.

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Observation fbdd5654-6469-47aa-9c55-9b5a9473e99d · outbound

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

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Fake it till you make it: Learning transfer- able representations from synthetic imagenet clones

Reference 25

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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 2026-08-09T06:31:02.800959+00:00.

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Observation ac72e665-d81f-4ffd-96a6-869497a9d2d5 · outbound

This paper cites Laion-5b: An open large-scale dataset for training 10 next generation image-text models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Laion-5b: An open large-scale dataset for training 10 next generation image-text models

Reference 26

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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 2026-08-09T06:31:02.800959+00:00.

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Observation 2e77a561-dca6-446e-a6c4-676baed0dd37 · outbound

This paper cites Ai models collapse when trained on recursively generated data.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Ai models collapse when trained on recursively generated data

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.403981Z

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.

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Observation 945616d2-0b13-43e1-bb43-a5f64fd65dd9 · outbound

This paper cites Improved techniques for training score-based generative models.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Improved techniques for training score-based generative models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.391391Z

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.

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Observation b7157af7-3099-4fe6-8694-b47d2db6c5de · outbound

This paper cites Visual autoregressive modeling: Scalable im- age generation via next-scale prediction.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Visual autoregressive modeling: Scalable im- age generation via next-scale prediction

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.377920Z

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.

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Observation 9d2916b5-12da-4162-ae2d-cf9dbd11bfa1 · outbound

This paper cites Stablerep: Synthetic images from text-to- image models make strong visual representation learners.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Stablerep: Synthetic images from text-to- image models make strong visual representation learners

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.364806Z

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.

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Observation b5aa43e0-69ce-4a36-8c3f-e744a85ba1d3 · outbound

This paper cites Metaxas, and Shiqing Ma.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Metaxas, and Shiqing Ma

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.351352Z

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.

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Observation b4746580-8341-4eb1-8082-e12f628d5baf · outbound

This paper cites Tree-rings watermarks: Invisible fingerprints for diffusion images.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Tree-rings watermarks: Invisible fingerprints for diffusion images

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.338172Z

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.

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Observation 819ff222-c6d2-41c0-bdc6-80dcd3b81579 · outbound

This paper cites Clifford algebra Cl(0,6) approach to beyond the standard model and naturalness problems.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Clifford algebra Cl(0,6) approach to beyond the standard model and naturalness problems

Reference 33

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local_arxiv, observed 2026-08-06T21:39:24.233576Z

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.

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Observation 0ef3aa31-2607-4e5d-acfd-aab3256f1565 · outbound

This paper cites Vector-quantized image modeling with im- proved VQGAN.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Vector-quantized image modeling with im- proved VQGAN

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.325448Z

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.

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Observation 8dd681bc-8b81-4c00-a574-e9dfaff802f9 · outbound

This paper cites Randomized autoregressive visual generation.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Randomized autoregressive visual generation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.312034Z

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=2026-08-06T21:39:24.082424Z digest=sha256:1f90a3cfd414e0d24da30b76fd5fb01c644fb7b1a9ca1c9972d559fba04f68e9

Observation 7b89ee8a-845a-4a1b-b3fc-be78c8821e6a · outbound

This paper cites A recipe for watermarking dif- fusion models, 2023.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models A recipe for watermarking dif- fusion models, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:39:24.299357Z

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=2026-08-06T21:39:24.086178Z digest=sha256:2127975e2b5fa30d1ac27776506a1593ec0a96cdd725dfbc60c4af72f1738382

Observation 748b1e04-456a-4e4c-8540-97f9255add75 · outbound

This paper cites an unresolved cited work.

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models Unresolved cited work

Reference 37

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T21:39:24.286575Z

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=2026-08-06T21:39:24.090370Z digest=sha256:da53f1890fff534796f09d87512e95b629ac146abe253b09cc2ba4d6e251d343

Pith citing papers

No inbound Pith citation observations are available.