Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.00076.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:35:36.149306Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T21:57:48.581248Z
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 2df4df55-a91c-4697-a12a-771534c5dfbb · inbound
Robust Watermarks Leak: Channel-Aware Feature Extraction Enables Adversarial Watermark Manipulation cites this paper.
Robust Watermarks Leak: Channel-Aware Feature Extraction Enables Adversarial Watermark Manipulation Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:35:36.149306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e30d2622-3836-4bb3-a67e-dd65ce297fb4 · inbound
Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective cites this paper.
Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:10:07.745074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bb68b0f-c9b5-46a4-a7d0-e509a01b92c3 · inbound
IConMark: Robust Interpretable Concept-Based Watermark For AI Images cites this paper.
IConMark: Robust Interpretable Concept-Based Watermark For AI Images Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:42:14.318217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0cac843-13e1-4b1d-ac87-10a816a2a4db · inbound
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 257
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:34:11.500596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 451127cf-f62b-4788-964e-f504a1b93394 · inbound
Private, Verifiable, and Auditable AI Systems cites this paper.
Private, Verifiable, and Auditable AI Systems Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 246
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:43:59.424905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b6e8093-e578-4aaf-8042-b442e2dd8a6a · inbound
Authenticated Contradictions from Desynchronized Provenance and Watermarking cites this paper.
Authenticated Contradictions from Desynchronized Provenance and Watermarking Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:31:22.374006Z
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.
Observation 775931f7-a591-43d6-a65e-ae39097d45c5 · inbound
Towards Robust Content Watermarking Against Removal and Forgery Attacks cites this paper.
Towards Robust Content Watermarking Against Removal and Forgery Attacks Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:26:00.814467Z
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.
Observation d801d8da-fcdc-447a-be30-40788285ae66 · inbound
"Training robust watermarking model may hurt authentication!'' Exploring and Mitigating the Identity Leakage in Robust Watermarking cites this paper.
"Training robust watermarking model may hurt authentication!'' Exploring and Mitigating the Identity Leakage in Robust Watermarking Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:31:19.391569Z
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.
Observation 0fbdce80-2a9a-4c37-9f01-07e4f3247c95 · inbound
Compositional Adversarial Training for Robust Visual Watermarking cites this paper.
Compositional Adversarial Training for Robust Visual Watermarking Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T21:57:48.582753Z
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.