Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.13976.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:02.469330Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:18:15.565781Z
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 eda36880-dd04-4a0e-91d6-c06d84737c18 · inbound
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:48:02.469330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5401d19-7786-402c-89f2-fa10a70d2878 · inbound
A Short Survey on Formalising Software Requirements using Large Language Models cites this paper.
A Short Survey on Formalising Software Requirements using Large Language Models Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:07:22.899205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68de5a9c-4265-4639-b445-26b6b9cf15bd · inbound
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:02.047822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ce1213f-5aac-442f-929c-e53fd94efa30 · inbound
Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy cites this paper.
Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:18:15.609447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.