Paper Citation Record · LEDGER

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2303.04360.

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

pith.paper-citation-record.v1
2303.04360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:43:55.797446Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T02:27:47.699752Z

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 95ef8206-3eda-48bd-b6e4-b412ed75cd5b · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:52.938360Z

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.

Observation 3d103f9c-e8fe-4d07-bdaa-dd3697c50cdf · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:31:11.535788Z

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.

Observation d63531d7-faee-4afe-a768-059df764ea6b · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T17:43:55.797446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88961415-f3c5-4ff9-ae76-2c2f143f1740 · inbound

Language Agents as Digital Representatives in Collective Decision-Making cites this paper.

Language Agents as Digital Representatives in Collective Decision-Making Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:02.902647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea400be-c107-4d6f-bc73-395cd7f0d34f · inbound

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:57:22.861148Z

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.

Observation 8c64b116-6d76-463a-a6d4-d8a59049c6f0 · inbound

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning cites this paper.

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:01.932113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5d1ce1-0684-436d-ad0d-fb13422f075d · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:53.186301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef5998b-8c94-41ea-9df5-83f4088f51b5 · inbound

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective cites this paper.

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:08.032155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765bfdcc-5f7f-423c-9484-3e31ba60923c · inbound

Separation Logic of Generic Resources via Sheafeology cites this paper.

Separation Logic of Generic Resources via Sheafeology Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:22:30.448718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54fea00a-5dbf-476b-857f-c0d96cfd11e2 · inbound

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement cites this paper.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:27.992288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f47cdd3-bf93-49af-8e77-6f2b6bc94523 · inbound

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset cites this paper.

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:16:38.185815Z

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.

Observation ea79ec80-d287-4cab-a2c6-71e9a83fba08 · inbound

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset cites this paper.

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T22:31:36.716586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa55e75-0320-4136-8702-73faee6b6db6 · inbound

Generating High Quality Synthetic Data for Dutch Medical Conversations cites this paper.

Generating High Quality Synthetic Data for Dutch Medical Conversations Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:38:23.287285Z

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.

Observation fdc8c870-4740-4592-9e86-e3833f9e5aa4 · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:41:02.231459Z

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.

Observation ce888236-f7be-4ec0-a3fa-bc3c0ec89b16 · inbound

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets cites this paper.

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:17.908011Z

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.

Observation d013294f-ae33-431d-b5ad-56f69e06ac6e · inbound

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale cites this paper.

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:15.143446Z

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.

Observation 17e6a343-43dc-4179-a83b-8d7c771f436d · inbound

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration cites this paper.

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.209550Z

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.

Observation edb6ee6b-df70-46f4-a34a-13bae324b16a · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:58.909388Z

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.

Observation 5018278c-0554-4737-990c-b3c080f7dadf · inbound

Synthetic Consumer Insight Generation with Large Language Models cites this paper.

Synthetic Consumer Insight Generation with Large Language Models Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:27:47.717255Z

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.

Observation 78032c14-7c07-43cb-ad3e-353536f8ee0c · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-01T17:38:09.531460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b4bc94-bbf2-42f1-a04b-11adffb81a56 · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T22:53:05.460393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.