Paper Citation Record · LEDGER

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.00727.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.00727 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:41:52.975411Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T16:31:34.857073Z

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 b50ff6e9-9d7c-45fb-a55f-f61035c1a812 · inbound

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models cites this paper.

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T23:08:16.466294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae81163-1ef3-489e-adda-204b5b0533e3 · inbound

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications cites this paper.

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:41:52.975411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b53115-3477-4a9a-b175-61b18e89f905 · inbound

Optimizing Retrieval-Augmented Generation for Electrical Engineering: A Case Study on ABB Circuit Breakers cites this paper.

Optimizing Retrieval-Augmented Generation for Electrical Engineering: A Case Study on ABB Circuit Breakers Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:20.816329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b3d39fd-3d96-4226-8ea2-92e8fdb29e02 · inbound

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering cites this paper.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:31:34.863751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.