Paper Citation Record · LEDGER

Evaluating and Mitigating IP Infringement in Visual Generative AI

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04662.

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

pith.paper-citation-record.v1
2406.04662 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:18:56.125219Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:26:24.909308Z

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 774c0059-98af-4632-85e3-019eafa388c8 · inbound

Continuous Concepts Removal in Text-to-image Diffusion Models cites this paper.

Continuous Concepts Removal in Text-to-image Diffusion Models Evaluating and Mitigating IP Infringement in Visual Generative AI

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T05:18:56.125219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ff6f27-33bb-4ec7-b212-7df1e4b0ff2a · inbound

Semantic to Structure: Learning Structural Representations for Infringement Detection cites this paper.

Semantic to Structure: Learning Structural Representations for Infringement Detection Evaluating and Mitigating IP Infringement in Visual Generative AI

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T13:08:48.738397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06be029-db6b-4643-ac24-fb026ba25d1a · inbound

AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models cites this paper.

AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models Evaluating and Mitigating IP Infringement in Visual Generative AI

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:24.913145Z

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.

Observation 9ea2be51-3414-41cf-ab7c-09e5f254b871 · inbound

CLIMP: Contrastive Language-Image Mamba Pretraining cites this paper.

CLIMP: Contrastive Language-Image Mamba Pretraining Evaluating and Mitigating IP Infringement in Visual Generative AI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T11:22:14.336730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.