Paper Citation Record · LEDGER

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.00287.

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

pith.paper-citation-record.v1
2311.00287 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.479838Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:35:03.953265Z

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 40742cb0-949e-4874-af72-80a351e560f8 · inbound

IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems cites this paper.

IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T18:43:53.727559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35be5b22-7993-428d-be3c-708b04bda951 · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.479838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2495b12b-34bf-48b3-a9c8-f67075b5a38c · inbound

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking cites this paper.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.256134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d9702b-0c81-4732-a669-b834022c52f7 · inbound

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort cites this paper.

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T23:25:52.613724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323b7f8e-4442-475e-b126-570aaedae265 · inbound

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI cites this paper.

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T21:12:57.914308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83502ff5-3130-423b-84b9-dda1383c9717 · inbound

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data cites this paper.

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:03.959101Z

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 81695e5a-d2e4-4b49-9e68-34a3302a49f6 · 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 Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:10.891706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.