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Paper Citation Record · LEDGER

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2604.27014.

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

pith.paper-citation-record.v1
2604.27014 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T11:08:55.306805Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:11.199896Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T19:41:12.620671Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fa7a07b-58fd-4908-976b-66ecd8991bce · outbound

This paper cites International Statistical Classification of Diseases and Related Health Problems (ICD-10).

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation International Statistical Classification of Diseases and Related Health Problems (ICD-10)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.660332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:c47b9e5a27168b4d4ac69d2f36a77b2883bc1844c2975cb0a6e39861009082b6

Observation 6888e783-9b6d-466c-9246-021b2fef24d2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-12T09:21:26.607483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:872e1f2044f275e4ff0ed7d64619fd25a39e0a370ab933b9bd8670f797088080

Observation 5e077f20-68bd-4a46-8bed-31be22b2425c · outbound

This paper cites https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.687971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:1e927d0d4afd5c0b1fea1ac6fbc469ec258cfd9a3819592756bf459c7ee012fc

Observation eabd972a-8f8f-48f9-bdde-f48bb918f12d · outbound

This paper cites Qwen3.5: Towards Native Multimodal Agents; 2026.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Qwen3.5: Towards Native Multimodal Agents; 2026

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.657933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:dbda6f1fcb00fab6518d8c1455d8c8ae9ac51db923f3088931761ea74c7f87b5

Observation f01b4cc0-4224-41fd-b770-5d46d1fbccb4 · outbound

This paper cites A kernel two-sample test.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation A kernel two-sample test

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.671327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:2276fd45b72c4dcdb67cb4898377f4f6d186bbe6f8cd5dfafc0bf3d705fb7e4d

Observation ca6d248e-5d0c-42b6-8391-c1d1d82380b8 · outbound

This paper cites Bertscore: Evaluating text generation with bert.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Bertscore: Evaluating text generation with bert

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.665720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:f4c4f4f912ca7685ee8c05815f479c846765059ac2909a20f625e3508f0d6dcb

Observation 0c7e27ef-c905-4146-8096-a1afe4363c46 · outbound

This paper cites Sentence mover’s similarity: Automatic evaluation for multi-sentence texts.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Sentence mover’s similarity: Automatic evaluation for multi-sentence texts

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.674395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:13757d5e616dc785fc27a32a976b670e5c2d79abe9dd2953a08462f41005d325

Observation 07fd7e22-8640-45c0-955d-d04612143195 · outbound

This paper cites Distance to nearest neighbor as a measure of spatial relationships in populations.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Distance to nearest neighbor as a measure of spatial relationships in populations

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.677114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:b83c32799bcb08e2cbd55406ef25630d3820bf4217903937a368965773042eae

Observation eef0f2dd-9178-4618-8a0d-011871470d39 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Rouge: A package for automatic evaluation of summaries

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.698590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:f669ae3f83dd9be54d7e916c24880c6cfcadc903b08785a2bd3f8cb09642543c

Observation 3c021f25-84e3-4aa6-95ef-e64b7289fddf · outbound

This paper cites METEOR: An automatic metric for MT evaluation with improved correlation with human judg- ments.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation METEOR: An automatic metric for MT evaluation with improved correlation with human judg- ments

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.695565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:76a2196a442348320253ede1a9aa71eff39d5a594b1015596e6a1a82369e269c

Observation 72ed1850-b186-4bc0-a263-ad999355c59a · outbound

This paper cites Texygen: A benchmarking platform for text generation models.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Texygen: A benchmarking platform for text generation models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.662854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:1d23172392f30c304c0ce055398036bc9f846aa3fcb8ce668c303fba7d978051

Observation 022831dc-0d5d-4f3b-a00c-c46c751e5d67 · outbound

This paper cites Certain language skills in children; their development and interrelationships.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Certain language skills in children; their development and interrelationships

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.708766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:2446e01ccb487ab09981e255e13fd89730710f3b7bb3a9899879b013b5d37794

Observation 358bbc09-1eb9-4630-8423-34fe685a883a · outbound

This paper cites Umap: Uniform manifold approximation and projection for dimension reduction.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Umap: Uniform manifold approximation and projection for dimension reduction

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.668423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:8d79d6413c02044cac1b46f24ec24cf2255131ab8a7171af1851934c64ce6a09

Observation d0ae3c48-4154-47e5-bda2-429124934035 · outbound

This paper cites Visualizing data using t-SNE.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Visualizing data using t-SNE

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.680272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:f52fa8a72b49b38eb4b7d2ffda18af4b0a823d01510bfcb81d66f46618b1e37b

Observation baab7e79-0878-493d-ae10-0b473228c3e9 · outbound

This paper cites EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.701243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:4339339cdd8357bcd923103d45dfcb4a357bf8cc0c1e019aad9112d8b3a6bb6a

Observation aa92e966-3214-416c-8fa0-fbe77572cffd · outbound

This paper cites Text data augmentation for deep learning.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Text data augmentation for deep learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.705862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:98684612d8990065f542f69b7b1113f5b2d59ea703c29a76bb5b4a49ac5b9789

Observation aa4b5c91-7d87-4324-9cda-1b6c0489fc1c · outbound

This paper cites Augmenting data with mixup for sentence classification: An empirical study.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Augmenting data with mixup for sentence classification: An empirical study

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.682988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:684cf7652a23390e1e15fcb313305bf73527f62146c657a126b02196c276dfa6

Observation 527cbbff-894e-48d5-a373-c9b20a40b03a · outbound

This paper cites an unresolved cited work.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-27T07:18:45.703491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:8fe7d96c005b34d25140e25513f84e3ea37d670691702e905b83422790da8787

Observation 7c92477e-046a-411b-bcda-111c20518e71 · outbound

This paper cites Comparative analysis of generative LLMs for labeling entities in clinical notes.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Comparative analysis of generative LLMs for labeling entities in clinical notes

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.711239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:3093c1d6fba9dbfa77b4ebfe92beb1a116bf39c9744c083901d32066071cd939

Observation 7a9cb021-7692-4859-8672-c77a25f271a7 · outbound

This paper cites an unresolved cited work.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-27T07:18:45.685364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:ba0a8872b8bc2ac837d4aab48f3cf763d24fb07754a1e6018a1cb4f28aeeef1e

Observation ad9ba24d-7ae3-4e5c-84a5-7729f81fab49 · outbound

This paper cites Auggpt: Leveraging chatgpt for text data augmentation.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Auggpt: Leveraging chatgpt for text data augmentation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.714187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:8a1808144a004505efd8391dc3ea04229615072774552ebbd4fc9ac6b8356f0f

Observation 498f40e8-7a8a-4496-b041-ad426b3a8e92 · outbound

This paper cites Textdataaugmentationforlargelanguagemodels: Acomprehensivesurveyofmethods,challenges, and opportunities.

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation Textdataaugmentationforlargelanguagemodels: Acomprehensivesurveyofmethods,challenges, and opportunities

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:18:45.692082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:01da0772f578592134f59ebcc1c2416ac27d67806866a59d20970dd7870d332b

Pith citing papers

Observation 89ee9055-0ff1-40bd-8535-fd238f29cd03 · inbound

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:41:12.627316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T19:41:11.199896Z digest=sha256:7babc4931e08e439a4987f9e5a10dd4fc19bdd09293b042129630486fa1fb0e7