Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.15386.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:51:51.935337Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:40:54.856005Z
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 c354c5af-a278-4cc6-a58a-948c8b481f44 · inbound
CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models cites this paper.
CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:51:51.935337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14105110-97b0-4f12-8021-4bc7814cae65 · inbound
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector cites this paper.
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:54.665385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ea8444c-ab9f-4acd-9ac7-bc11e95ddb9b · inbound
First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge cites this paper.
First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:40:54.862470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.