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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:41:14.602344Z

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.

source=pdf_text observed=2026-08-11T22:41:14.602344Z digest=sha256:4ddb51fe81fa1b009848e2c553ef78ace2bd47f6b7d11ab177cd83c8433e7627

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.

source=arxiv_source observed=2026-08-11T10:36:17.289057Z digest=sha256:76fa7727b5ee576b259a9ee5a230358c7ba6d249a4fcd4d6336abc15d0c397f3

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.

source=pdf_text observed=2026-08-10T05:33:52.329866Z digest=sha256:108bed66d68489a38cbfb1296e9d86b14cd6be8ab5e95f93e287a1a0a7d9f397

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.

source=pdf_text observed=2026-08-07T15:08:04.497560Z digest=sha256:7848de7cf13cfe13c660c10373cb9e534ea8d2f44348676ec594852ec8e948b2

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.

source=pdf_text observed=2026-08-06T20:47:28.421111Z digest=sha256:a4f82617deb30fade7f94f32626cc63fedb852ec06207d95dc304fff8bdfffd6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:c06082203120aa3539cffbf1802ec5eadaad1447e64b0cf1a675068932bcee68

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-30T01:29:19.877774Z digest=sha256:a671ecc5c40b3be59b5f1679f70fe5526892002d4f439437aebf895d545fed88

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.

source=pdf_text observed=2026-07-13T05:26:06.829382Z digest=sha256:5040e4522f0948dd2841cdc659389a44a128d222df40d2c8963e470148d3282d