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Paper Citation Record · LEDGER

An Undetectable Watermark for Generative Image Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.07369.

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

pith.paper-citation-record.v1
2410.07369 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:47.893698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:34:36.581783Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 932b2efd-cbee-4ab9-ab0a-f9e95135c7b9 · inbound

SEAL: Semantic Aware Image Watermarking cites this paper.

SEAL: Semantic Aware Image Watermarking An Undetectable Watermark for Generative Image Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:15:14.793419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:13:31.761894Z digest=sha256:6286f89b00e4da75ecbc0e5cdd4c6c1f9fd0dcd807b7fd7aee1b2c0ab3aa4a31

Observation 9b739465-d967-4f30-bf02-776818e27d01 · inbound

Signals of Provenance: Practices & Challenges of Navigating Indicators in AI-Generated Media for Sighted and Blind Individuals cites this paper.

Signals of Provenance: Practices & Challenges of Navigating Indicators in AI-Generated Media for Sighted and Blind Individuals An Undetectable Watermark for Generative Image Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:47.893698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:47.893698Z digest=sha256:9a19dbc9ef7cb14336c285416070cde6e1c67a8fd3c0d3f2c51532f8abb7d4a2

Observation a5c34051-4a1c-4aca-bff7-eda7496bf29a · inbound

A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks cites this paper.

A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks An Undetectable Watermark for Generative Image Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:34.226033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:34.226033Z digest=sha256:9ce5f99729b4213fd23daab74b76e5f56e7fcc701965590b293bb13dcff14767

Observation b5e5c9bf-bca2-4988-98b8-697d37a11400 · inbound

A Watermark for Auto-Regressive Image Generation Models cites this paper.

A Watermark for Auto-Regressive Image Generation Models An Undetectable Watermark for Generative Image Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:01.651218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:01.651218Z digest=sha256:d546009acc568582784ada5ca6fa0f8e60c572bab6610ab14e9384f2b21cda8d

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

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models cites this paper.

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

Reference 8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:39:23.989260Z digest=sha256:96b6eb98cd6fea8200d5da634303232b8b284e0c1c4e55d15e1d9a3845f54e9f

Observation b5c6e792-d885-4a00-8359-5718eb60aa94 · inbound

IConMark: Robust Interpretable Concept-Based Watermark For AI Images cites this paper.

IConMark: Robust Interpretable Concept-Based Watermark For AI Images An Undetectable Watermark for Generative Image Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:14.287252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:14.287252Z digest=sha256:4ef21207f0df45d0a7ff4101c61535f8a266264d3df3235e4a605d7bc70ecf38

Observation 570cacd6-dc62-4015-8968-c5e0559a1698 · inbound

ShapeMark: Robust and Diversity-Preserving Watermarking for Diffusion Models cites this paper.

ShapeMark: Robust and Diversity-Preserving Watermarking for Diffusion Models An Undetectable Watermark for Generative Image Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T18:33:31.067085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T18:33:31.067085Z digest=sha256:87a4b50739edc0c382e3b7b2f153ea70213c2b29787ce9341033221538701a02

Observation 56777213-ffa7-414d-8f7c-c23c8238584a · inbound

Towards Robust Content Watermarking Against Removal and Forgery Attacks cites this paper.

Towards Robust Content Watermarking Against Removal and Forgery Attacks An Undetectable Watermark for Generative Image Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:00.862708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:08:01.503806Z digest=sha256:c6f525cf38a6e0a826e0a0a1e4712036ff9477d05f3007f8d4da21235dfd6dad

Observation 238d9186-55b2-4043-a648-6caff37bea36 · inbound

Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles cites this paper.

Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles An Undetectable Watermark for Generative Image Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:13.001559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T09:17:29.822671Z digest=sha256:1aecf58c12d54cf7aca20db9199f4f5696b56e596fb7f9972d82f92836ef15b6

Observation 06cbdb55-c505-4bea-a6af-90a7b353aad3 · inbound

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes cites this paper.

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes An Undetectable Watermark for Generative Image Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:25.718673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:32:57.175350Z digest=sha256:dc932e79e0dd491a30cd4ec0df8608096fa80014467dc55152ec1b3d845350b5

Observation 9c26f098-3940-4f36-aa3a-1267522ad067 · inbound

Removing the Watermark Is Not Enough: Forensic Stealth in Generative-AI Watermark Removal cites this paper.

Removing the Watermark Is Not Enough: Forensic Stealth in Generative-AI Watermark Removal An Undetectable Watermark for Generative Image Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:26:30.512871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:52:30.959641Z digest=sha256:58d64f865a18acc9f106a641f6fb220cd7ab6b466b6d71c84f45e95747610d16

Observation b5df60b8-b5ff-464a-9a37-665cadeb1afb · inbound

Watermarking Should Be Treated as a Monitoring Primitive cites this paper.

Watermarking Should Be Treated as a Monitoring Primitive An Undetectable Watermark for Generative Image Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:12:50.957540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:10:59.937855Z digest=sha256:e7ad31ed9665d010d237c0fc0a0f5c77c828c070e3cad236fb17d13ecd7f4efe

Observation 5004dccc-8a8b-4f6c-9ac2-85bdc41767ad · inbound

Watermarking Should Be Treated as a Monitoring Primitive cites this paper.

Watermarking Should Be Treated as a Monitoring Primitive An Undetectable Watermark for Generative Image Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:59:48.906273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T05:57:19.399363Z digest=sha256:d2993de52f6e458201f80d8ea675bd34d4627675697c882c9d0b3c216b3faca5

Observation e88b33ce-cc36-47f2-a460-8a3555d4f19b · inbound

Data Provenance for Image Auto-Regressive Generation cites this paper.

Data Provenance for Image Auto-Regressive Generation An Undetectable Watermark for Generative Image Models

Reference 193

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:34:36.583080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T10:28:59.577056Z digest=sha256:b5f1bc6f9b39dad64f8c510756014e21951526ddc4efb546a6aa5a738a63d7cf

Observation d6de5409-a54d-44b0-b5cc-9ffc137cc7a4 · inbound

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling cites this paper.

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling An Undetectable Watermark for Generative Image Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T12:48:15.461590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:48:15.461590Z digest=sha256:0be5eb43e1a343c1f8a0049d1528acd94954642594e7eae56d188fe423f66e3b

Observation 93fdd690-96fb-4f24-aeca-b50fad965c99 · inbound

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models cites this paper.

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models An Undetectable Watermark for Generative Image Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-30T22:58:40.743081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:58:40.743081Z digest=sha256:69bd8a2fbcad3a07388b119cb0e2db157cc777ef3ca46016f848ffffda75d0af