Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.22851.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:00:24.445094Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:00:00.906338Z
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 be46a09e-4fef-4a77-914c-1cc7b828a24f · inbound
Contract Based Verification of Non-functional Requirements for Embedded Automotive C Code cites this paper.
Contract Based Verification of Non-functional Requirements for Embedded Automotive C Code RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T01:04:32.040908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f504643e-8c63-4fbe-b5ba-3d8406e90563 · inbound
Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment cites this paper.
Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
Reference 116
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:00:00.907827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4b101895-2f6d-44a2-8594-f820724760c3 · inbound
Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development cites this paper.
Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:00:24.445094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.