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Paper Citation Record · LEDGER

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.00746.

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

pith.paper-citation-record.v1
2402.00746 v9

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:44.840249Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:53:59.411910Z

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 f496c516-de69-4ccb-b704-de84574959c4 · inbound

Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases cites this paper.

Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T01:06:44.840249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:06:44.840249Z digest=sha256:4a20ed3451cfbeb69d1e04986d78f9e72bf8dd949b8ee12587bbcd81a571393c

Observation a61af990-ee50-4efc-a8dc-3021f7dbfcd3 · inbound

HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways cites this paper.

HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T22:15:09.760293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:15:09.760293Z digest=sha256:970c36a6dc39c9b926828b957a8914652c50f157c709a70547eb4a1367bd0c30

Observation e02d58a5-50d7-477b-a91b-51a6b88a77c0 · inbound

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning cites this paper.

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:02.001796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:04:15.995849Z digest=sha256:5b5886280f8de1a94255807f6a02b8f5bebe38978a2e9a6b47f58f35dca885f0

Observation b4163eb7-bc13-470b-94a0-02ea145af745 · 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 Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:53:59.413458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T05:49:55.738870Z digest=sha256:c9f0b78586467be482e96c5b23904602970937104b7bf6b2eff93211b141de66

Observation ae8e0d63-ee0e-43bc-8e30-ad03c19ed358 · inbound

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare cites this paper.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T17:49:08.996943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:49:08.996943Z digest=sha256:451cadf52aa0a6e750de9ae996ce760a7da0449387af9eb356937d0f85f1990a

Observation 07bca59d-dd06-49c8-96b3-14df5c8ec33a · inbound

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare cites this paper.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T01:41:59.015368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:41:59.015368Z digest=sha256:62a860637bed20e5270c8f87b84ac340842a153dd3fe70accecd040ee4ed5ba8