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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:57a38ad67153c32d602c2cfb50f6e3cdc2f3cfa1aba7bfb3c5855088840fbe62

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:800fd8095b144fd7ae0db5b987c5caa917b05370c6469743edbbe50479d74b34

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:722777394f6091a2020a176e3e7245ad73421a6a35eb12b9bd2a66d46c086abe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:c2d76d0b48cbff64e2f76cb8c16025bfc4fadc6e2d49775976ae1c7a01666315

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:d10c4f456396cbaf800b9b8845a8477629d99a106f669ed25f9aae19d383cf34

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:156df0e1890e7d9bc7ec857910fbcec81d0ec2002aa0fc437c94dee5357f1451

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:e3016aa182dedc2ec496f7a2ae5165f5ac540681bcc8aeec035eb6b383fdbaac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:a631044e9d150e32ede93afe08fe49f0ece6062217d081d2c0887273cf182884

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:91e9008b4536f21ae0c5cac516cdebe4df3e640b906865b3722797d4c0b09f29

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:b0e0403d8d2a37ef1e0525da379945536a802e0947aed83363d02971e3a34e21

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:449133e72aade591a7b0943492447394e82f0b2fdc14cf370a65e6aed4128e40

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:21eb1a0eafe9eeeee50f4d2698f0d39f148edb4752f91dfc011e31bb63cd194a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:d3c3a98eacd1614d45d7062f3eaecac7d253abadeae78727cb73b9a02153925b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:c4c20ac4ac975828c9cb16779e28a3693572c7054dcfbd4d44adcd263f9e0cb9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:f02ba36048d3064abb1e33e813e67208c7f57c46c710e41b6e28641ea4f748b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:39ac2da0edf0e2401c87d8ec872695ad89a394354f4cfe6e8214eb8954618c82

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:74f9f643e756b2c9ff91a014b016f487ccb09b3a8cd9871dfd1b4a525f7078ee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:808038c1cec816864b1c8e2794718ac46600e5ddf459afa4de66c71d18944dba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:55a0c670b65b70a22e060e2a13e21425649a0d32fc23ade415067c34d6c602ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:d9105eaec5b61bee77844fe79dc7d01541beb779f39c5ccb8a0628ac1a9b4d3d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:2c328d6fcdee0a696eb907bf357dd6a295a4cf55cc5dbc894d4a2c00f752d675

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:08:55.306805Z digest=sha256:127f87410358aa34ba575dd8898071aa438dcfd05e53537ddcf8ac6e350d05c4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:41:11.199896Z digest=sha256:def4b8bed36281072c47b85e920c5ab25c857067feb85e2705d17628599a70bb