Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.01717.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:35:38.287145Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T20:06:33.985854Z
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 cb39848f-b252-47b6-93c2-59f5ea9bbf2a · inbound
LLMs to Support a Domain Specific Knowledge Assistant cites this paper.
LLMs to Support a Domain Specific Knowledge Assistant From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:35:38.287145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c20b2ef-29e0-474f-ae01-53e85dc144ca · inbound
Bridging the Gap: Leveraging Retrieval-Augmented Generation to Better Understand Public Concerns about Vaccines cites this paper.
Bridging the Gap: Leveraging Retrieval-Augmented Generation to Better Understand Public Concerns about Vaccines From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:41:45.784247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8987760-683c-4290-a5d0-3afdac407af6 · inbound
Compliance Management for Federated Data Processing cites this paper.
Compliance Management for Federated Data Processing From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:06:33.988559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.