Paper Citation Record · LEDGER

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.06186.

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

pith.paper-citation-record.v1
2508.06186 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:56:30.594069Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f2063a0-d20d-409f-b113-d73b8457c4aa · outbound

This paper cites Explainability for large language models: A survey,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Explainability for large language models: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.812211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9c59098-1845-477e-a2bb-a02d46e38c7a · outbound

This paper cites Recent advances in natural language processing via large pre-trained language models: A survey,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Recent advances in natural language processing via large pre-trained language models: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.803043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17d0d264-0096-4720-9f09-7ea51a392978 · outbound

This paper cites A Comparative Survey on Large Language Models for Biological Data,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration A Comparative Survey on Large Language Models for Biological Data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.793290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5ca8d2e-ea38-42f2-b83a-d9f0f0230494 · outbound

This paper cites Innovations in research and clinical care using patient ‐generated health data,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Innovations in research and clinical care using patient ‐generated health data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.784827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92a42e0f-fc70-470f-b732-729d2ed937fe · outbound

This paper cites A rule -based semantic approach for data integration, standardization and dimensionality reduction utilizing the UMLS: application to predicting bariatric surgery outcomes,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration A rule -based semantic approach for data integration, standardization and dimensionality reduction utilizing the UMLS: application to predicting bariatric surgery outcomes,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.775814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a6e7422-ddea-4f61-be7f-ffee84657537 · outbound

This paper cites Foundation Models for Autonomous Robots in Unstructured Environments.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Foundation Models for Autonomous Robots in Unstructured Environments

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:56:30.648036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b14b7084-adc9-449f-adf3-3ba1afc9d589 · outbound

This paper cites Embedding dynamic graph attention mechanism into Clinical Knowledge Graph for enhanced diagnostic accuracy,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Embedding dynamic graph attention mechanism into Clinical Knowledge Graph for enhanced diagnostic accuracy,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.767157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77c3e27b-af83-45f2-8b06-1820804e332c · outbound

This paper cites Large language models for disease diagnosis: A scoping review,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Large language models for disease diagnosis: A scoping review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.758337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c110e5f-a579-4822-8a7e-8280078a6bf5 · outbound

This paper cites Leveraging medical knowledge graphs into large language models for diagnosis prediction: Design and application study,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Leveraging medical knowledge graphs into large language models for diagnosis prediction: Design and application study,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.750255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5dd2e41c-0a36-4269-9b35-3f5776305541 · outbound

This paper cites Knowledge graph –based thought: a knowledge graph –enhanced LLM framework for pan -cancer question answering,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Knowledge graph –based thought: a knowledge graph –enhanced LLM framework for pan -cancer question answering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.742168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0fe882af-3e9c-40a4-8f17-e9ae03faf88a · outbound

This paper cites Llmrg: Improving recommendations through large language model reasoning graphs,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Llmrg: Improving recommendations through large language model reasoning graphs,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.733679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f91ee353-cd5d-4a63-97c2-67c467d8f761 · outbound

This paper cites DynLLM: When Large Language Models Meet Dynamic Graph Recommendation.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:56:30.565499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b8ac9f4-6c5e-4968-97a3-fdb6bfbad370 · outbound

This paper cites ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.724721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63d3c509-7fc9-40d9-82fb-4c352f5f1de1 · outbound

This paper cites Large Language Model –Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Large Language Model –Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.715322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b708dc87-480e-4cd0-b9f8-46e6368b5565 · outbound

This paper cites Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T22:56:30.575416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3165db35-538f-4969-9bbb-bed6bb25825f · outbound

This paper cites Building a knowledge graph to enable precision medicine,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Building a knowledge graph to enable precision medicine,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.706847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f180185-ab90-4645-811a-a6998a1ea3ba · outbound

This paper cites Gene ontology: tool for the unification of biology,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Gene ontology: tool for the unification of biology,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.697127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b849fd97-5178-4ec7-95c6-b7d71217136d · outbound

This paper cites KG-Predict: A knowledge graph computational framework for drug repurposing,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration KG-Predict: A knowledge graph computational framework for drug repurposing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.687695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bbe95fd-081c-4388-867c-64ba50009469 · outbound

This paper cites Drugrep- kg: Toward learning a unified latent space for drug repurposing using knowledge graphs,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Drugrep- kg: Toward learning a unified latent space for drug repurposing using knowledge graphs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.678681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2533af13-d496-4017-8dac-26744b5e2c96 · outbound

This paper cites Disease Ontology: a backb one for disease semantic integration,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Disease Ontology: a backb one for disease semantic integration,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.669049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa15fb55-79d3-4aa0-ba58-d9085c4be75d · outbound

This paper cites DrugBank 5.0: a major update to the DrugBank database for 2018,.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration DrugBank 5.0: a major update to the DrugBank database for 2018,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:56:30.659695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.