Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.05783.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-12T15:48:29.459417Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:49:52.908736Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d23795c1-04fa-4676-a70e-983ba50a9ccf · inbound
Global Challenge for Safe and Secure LLMs Track 1 A Survey on Responsible Generative AI: What to Generate and What Not
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cf2c84c-a42e-4f52-90cb-243bb14817f2 · inbound
UVCG: Leveraging Temporal Consistency for Universal Video Protection A Survey on Responsible Generative AI: What to Generate and What Not
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7930752-df99-4fad-b256-ba8d862dca48 · inbound
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models A Survey on Responsible Generative AI: What to Generate and What Not
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fe65785-adac-49ed-88af-d17da1d4242d · inbound
Comparative Insights on Adversarial Machine Learning from Industry and Academia: A User-Study Approach A Survey on Responsible Generative AI: What to Generate and What Not
Reference 16
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.
Observation 8cda13a0-80cd-4abe-9d4e-c8c797347d17 · inbound
Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks A Survey on Responsible Generative AI: What to Generate and What Not
Reference 10
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.