Paper Citation Record · LEDGER

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.00076.

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

pith.paper-citation-record.v1
2310.00076 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:43:59.424905Z

measured 0 of 1 external citation measurements

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 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.