Paper Citation Record · LEDGER

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 3 inbound Pith citation observations for arXiv:2507.02773.

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

pith.paper-citation-record.v1
2507.02773 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:27:10.922639Z

measured 34 of 34 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:10:32.952583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T06:43:10.410722Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy29
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df5a0de9-fd94-4d2f-8632-634d2df272ad · outbound

This paper cites Evaluation of artificial intelligence techniques in disease diagnosis and prediction.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Evaluation of artificial intelligence techniques in disease diagnosis and prediction

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.314182Z

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 592d3d74-a64c-49de-86c7-164c25f8803b · outbound

This paper cites TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.303459Z

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 6e760479-bc3b-463f-b515-f0b8b70e66ba · outbound

This paper cites Machine learning model to predict mental health crises from electronic health records.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Machine learning model to predict mental health crises from electronic health records

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.292929Z

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 453bbc9e-83d5-49c1-9216-f6fe12fe49a8 · outbound

This paper cites Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.281525Z

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 63c604d1-4c43-44f3-96e4-ebd2e243adce · outbound

This paper cites Large language models encode clinical knowledge.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Large language models encode clinical knowledge

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.269766Z

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 86859563-7064-4807-8862-c4e9be9a56a5 · outbound

This paper cites Preliminary analysis of the impact of lab results on large language model generated differential diagnoses.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Preliminary analysis of the impact of lab results on large language model generated differential diagnoses

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.258614Z

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 dc54e4bc-8427-485e-8b78-0b71b702717a · outbound

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

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Large language models for disease diagnosis: A scoping review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.247068Z

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 e2337628-f832-40c7-9a40-16d559693118 · outbound

This paper cites Llms-based few-shot disease predictions using ehr: A novel approach combining predictive agent reasoning and critical agent instruction.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Llms-based few-shot disease predictions using ehr: A novel approach combining predictive agent reasoning and critical agent instruction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.235015Z

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 82b89d06-afe2-4ab4-925c-d5ad8d8d4d73 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Detecting hallucinations in large language models using semantic entropy

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.222634Z

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 f8c4e894-059d-49b0-b8c5-acf01dcdf827 · outbound

This paper cites Simulated misuse of large language models and clinical credit systems.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Simulated misuse of large language models and clinical credit systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.211806Z

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 5f70ac3e-2861-40af-954d-f03d243330a9 · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Unifying large language models and knowledge graphs: A roadmap

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.200760Z

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 52684303-ce85-4eb7-8021-19202df04d3f · outbound

This paper cites Large Language Models and Knowledge Graphs: Opportunities and Challenges.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.188956Z

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 4959ee11-ba7d-40e9-aabe-6a46f674d752 · outbound

This paper cites Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.178557Z

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 aabd03ec-838c-4441-8eb6-8c5f3905b23b · outbound

This paper cites medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.167610Z

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 404c4ca2-2f38-4e58-8918-d77ca4c7230d · outbound

This paper cites Guiding clinical reasoning with large language models via knowledge seeds.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Guiding clinical reasoning with large language models via knowledge seeds

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.156804Z

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 6f3890be-1d4b-4712-8bba-065e6350b135 · outbound

This paper cites PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.145605Z

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 76f23285-ac41-47ca-a51c-0f8a7730e1b6 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Chain-of-thought prompting elicits reasoning in large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:10.123013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9624de0c-ed34-43eb-bdea-b908f59b2ba3 · outbound

This paper cites Self-reflection in llm agents: Effects on problem-solving performance.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Self-reflection in llm agents: Effects on problem-solving performance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.130190Z

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 a516dac2-6c9f-46be-a634-1b9a19f2c736 · outbound

This paper cites Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.120064Z

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 ec5ec8e3-b291-4ba6-be1a-4cc348604524 · outbound

This paper cites Structured clinical reasoning prompt en- hances LLM’s diagnostic capabilities in diagnosis please quiz cases.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Structured clinical reasoning prompt en- hances LLM’s diagnostic capabilities in diagnosis please quiz cases

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:13.002986Z

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 6592ba36-e73f-40ef-9d14-b2345cb033f4 · outbound

This paper cites Huatuogpt-ii, one-stage training for medical adaption of llms.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Huatuogpt-ii, one-stage training for medical adaption of llms

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:12.836562Z

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 e7b84da6-5354-4e05-9970-b66434fa3b83 · outbound

This paper cites RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:12.661323Z

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 299dc192-8e90-4656-a746-f26d42bb86ac · outbound

This paper cites RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:12.485526Z

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 bcfd0da4-40e5-432b-bb12-f1c2564a24b4 · outbound

This paper cites Health-LLM: Personalized retrieval-augmented disease prediction system.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Health-LLM: Personalized retrieval-augmented disease prediction system

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:12.238497Z

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 6e5cd810-e720-41f7-a21f-782b8f038276 · outbound

This paper cites Emerge: Integrating rag for improved multimodal ehr predictive modeling.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Emerge: Integrating rag for improved multimodal ehr predictive modeling

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:11.977746Z

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 7bc603a1-9367-4708-8fff-529ae5fe7e64 · outbound

This paper cites Cpllm: Clinical prediction with large language models.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Cpllm: Clinical prediction with large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:11.869896Z

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 cb6cb683-e58b-44d2-81ed-61f8ac4b3734 · outbound

This paper cites Self-alignment pretraining for biomedical entity representa- tions.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Self-alignment pretraining for biomedical entity representa- tions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:11.638059Z

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 5819b526-5ee8-4f44-a069-2f6824a99fbc · outbound

This paper cites MIMIC-III, a freely accessible critical care database.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs MIMIC-III, a freely accessible critical care database

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:10.741625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a49693-0ca4-48c2-821f-611603b689af · outbound

This paper cites Hypergraph transformers for ehr-based clinical predictions.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Hypergraph transformers for ehr-based clinical predictions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:11.484930Z

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 b31d4f0f-4774-435f-a894-cd638c59cafc · outbound

This paper cites Predicting Post-Stroke Cognitive Impairment (PSCI) Using Multiple Machine Learning Approaches.

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Predicting Post-Stroke Cognitive Impairment (PSCI) Using Multiple Machine Learning Approaches

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:11.327977Z

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 721fe9b2-e998-466d-9f91-01414685cfb6 · outbound

This paper cites Biomedical discovery through the integrative biomedical knowledge hub (iBKH).

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs Biomedical discovery through the integrative biomedical knowledge hub (iBKH)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:11.109563Z

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

Observation e2f02f20-ec39-47d3-83e4-4927cf473fcb · inbound

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare cites this paper.

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T14:10:32.952583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7719421-c511-4316-b9f1-8e10aa1ccf3b · inbound

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval cites this paper.

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:11:04.344302Z

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 51f6dc05-5c29-44f2-bc04-10b7e8e15ecd · inbound

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs cites this paper.

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-06-29T06:43:10.413740Z

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.