Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.22401.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:03.692940Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T13:51:25.657101Z
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 48035141-5e0a-4684-8ad8-9acf461d34cf · inbound
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:03.692940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21b48cd7-2cb8-4486-b047-0a941f03777c · inbound
Flow marching for a generative PDE foundation model cites this paper.
Flow marching for a generative PDE foundation model Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:51:25.660585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0153072b-84dd-4d69-8dd8-b88cac38f623 · inbound
Latent Generative Solvers for Generalizable Long-Term Physics Simulation cites this paper.
Latent Generative Solvers for Generalizable Long-Term Physics Simulation Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T05:22:22.680870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.