Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Semantic to Structure: Learning Structural Representations for Infringement Detection
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.07323.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:52.929510Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:44:34.489375Z
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 784193e0-7fa7-4c41-970e-390885a53cf6 · inbound
A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets cites this paper.
A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets Semantic to Structure: Learning Structural Representations for Infringement Detection
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:45:52.929510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f9fe709-2441-40cf-9941-fd1a7e13a52f · inbound
From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection cites this paper.
From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Semantic to Structure: Learning Structural Representations for Infringement Detection
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:44:34.520092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.