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Paper Citation Record · LEDGER

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.16618.

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

pith.paper-citation-record.v1
2502.16618 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:21.398612Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:26:24.842362Z

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 8f5d3cc1-6913-4d85-b53e-606e24fac088 · inbound

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:21.398612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:21.398612Z digest=sha256:efa9025845d8c2f603074434df3da9eb19737b03fbb3fe21cbcb466fdb269c8a

Observation 4df7dc78-b08d-40cf-a67f-1420eae13ff9 · 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 Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:26:24.846017Z

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=2026-08-05T13:26:24.587436Z digest=sha256:f90858d11c41b9e6fe34801f2528308526aa6d5857798d716a06cfaa4ffba9e4

Observation a6c86ca0-0761-470e-8f9e-aba4a8c13be5 · inbound

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report cites this paper.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T09:37:15.997513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:0f6d3fd4a79146d94bd5c34b97421df23ee196c8408db535f372d0ce1934e569