Paper Citation Record · LEDGER

Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2311.01463.

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

pith.paper-citation-record.v1
2311.01463 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:46:29.530844Z

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

19
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 929df44a-c71a-4cc0-b6d9-efd276349e7e · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.344418Z

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.

Observation 779c328c-30d0-43a4-8ef6-dea6821ee3e0 · inbound

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning cites this paper.

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:47:42.609359Z

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.

Observation 1283dea7-4db4-486d-b74a-b7deb8fde1f0 · inbound

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering cites this paper.

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T14:46:29.530844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041867c6-1d6c-4b4e-80af-ed3416e6a642 · inbound

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders cites this paper.

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T22:26:40.742447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26adc0fc-6091-4403-9851-eabc5d1c763a · inbound

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities cites this paper.

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T22:26:06.416408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef117af-c04a-4e65-b0ed-7bd061f577b0 · inbound

Trustworthy Agents for Electronic Health Records through Confidence Estimation cites this paper.

Trustworthy Agents for Electronic Health Records through Confidence Estimation Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:44.542551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3554c3fb-4bc1-4c77-a82d-f092b7acde90 · inbound

An Agentic Model Context Protocol Framework for Medical Concept Standardization cites this paper.

An Agentic Model Context Protocol Framework for Medical Concept Standardization Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T10:41:11.072137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e8387f-d976-45d3-8a7e-9b59c83d83c9 · inbound

A global log for medical AI cites this paper.

A global log for medical AI Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:34:01.881025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6183e3a-4e35-451d-a55c-690402e9bd76 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T12:42:32.861808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1fd8e9d-48ca-4c1a-8e3b-e9d90a5da15e · inbound

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models cites this paper.

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:53:59.407655Z

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.

Observation 8cec5fb9-8fee-4d1c-a16e-92c5abc75acc · inbound

Explicit Evidence Grounding via Structured Inline Citation Generation cites this paper.

Explicit Evidence Grounding via Structured Inline Citation Generation Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:37:14.646429Z

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.

Observation 174d07d2-db9f-47e7-b8c1-f96f1a1e24b7 · inbound

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation cites this paper.

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 1

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T11:14:37.628519Z

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.