Paper Citation Record · LEDGER

A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.15777.

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

pith.paper-citation-record.v1
2404.15777 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:56.321987Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e638447b-cd3d-4beb-b3a1-b9def98e536c · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:14.602344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0881eb-3f0c-48b5-9b4c-5ada93786823 · inbound

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment cites this paper.

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:17.289057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e361da-ad44-4885-aa8e-d7c67225a730 · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T05:33:52.329866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c70732f-2358-4667-9f11-aff666720254 · inbound

Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation cites this paper.

Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:56.321987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b9d893-309f-481b-9326-4a9eb6fe8e25 · inbound

MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models cites this paper.

MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:56:15.573680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bcac5cd-9a07-4a6b-92fc-abaa0f1faeae · inbound

LIFEBench: Evaluating Length Instruction Following in Large Language Models cites this paper.

LIFEBench: Evaluating Length Instruction Following in Large Language Models A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:04.497560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a87e03-afaf-4699-9570-43234d43b22e · inbound

RoboBrain 2.0 Technical Report cites this paper.

RoboBrain 2.0 Technical Report A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:28.421111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb15f0f2-dcb4-4664-a26e-364db042cda8 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:47:59.579576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff69b49d-cef2-482a-9673-bcfe5fdbfe4a · inbound

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training cites this paper.

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-30T01:34:09.691822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation acece385-5018-4e08-9ea2-d90a09891c05 · inbound

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints cites this paper.

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T05:26:06.829382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.