Paper Citation Record · LEDGER

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2506.08486.

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

pith.paper-citation-record.v1
2506.08486 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:15:52.508143Z

measured 24 of 24 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:18:59.283834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.649716Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy19
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90ae94ec-b75a-43e1-bce3-812664c7ca6a · outbound

This paper cites Large language models encode clinical knowledge,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Large language models encode clinical knowledge,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.818013Z

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.

Observation a66c830b-2534-4a34-bb9f-a123d6bc56c5 · outbound

This paper cites Large ai models in health informatics: Applications, challenges, and the future,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Large ai models in health informatics: Applications, challenges, and the future,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.808056Z

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.

Observation 3d0b6907-b481-45e6-bc73-c7372d801c11 · outbound

This paper cites Dietary assessment with multimodal chatgpt: a systematic analysis,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Dietary assessment with multimodal chatgpt: a systematic analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.797632Z

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.

Observation 00146108-c718-4973-b449-7ce0a0ebfc16 · outbound

This paper cites Twin -gpt: digital twins for clinical trials via large language model,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Twin -gpt: digital twins for clinical trials via large language model,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.788000Z

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.

Observation 44b95ffe-cf2f-49b0-8970-415d4b281291 · outbound

This paper cites A joint llm -kg system for disease q&a,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being A joint llm -kg system for disease q&a,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.778767Z

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.

Observation 70c6e816-9f49-4ffa-9925-c3608e26d14e · outbound

This paper cites Large language models forecast patient health trajecto - ries enabling digital twins,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Large language models forecast patient health trajecto - ries enabling digital twins,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.768963Z

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.

Observation 13cc3e2e-b397-488f-abc9-2a9f80b30794 · outbound

This paper cites Building a human digital twin (hdtwin) using large language models for cognitive diagno - sis: Algorithm development and validation,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Building a human digital twin (hdtwin) using large language models for cognitive diagno - sis: Algorithm development and validation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.759633Z

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.

Observation 20811b12-9eb0-48b7-980a-2a836f754e39 · outbound

This paper cites Ethica: Designing human digital twins—a systematic review and proposed methodology,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Ethica: Designing human digital twins—a systematic review and proposed methodology,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.750649Z

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.

Observation fc0442c2-7d7d-42d6-8cb1-c4beedc43fd5 · outbound

This paper cites Shifting artificial intelligence to be responsible in healthcare: A systematic review,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Shifting artificial intelligence to be responsible in healthcare: A systematic review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.741353Z

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.

Observation 4521adda-af1f-4bb2-b1d9-870062e26f83 · outbound

This paper cites Ethics and governance of artificial intel - ligence for health: Guidance on large multi -modal models,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Ethics and governance of artificial intel - ligence for health: Guidance on large multi -modal models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.731613Z

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.

Observation 2297fc79-a0f9-49d6-b63b-faa1e127e3ee · outbound

This paper cites MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:52.465841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01724d9a-b629-4c70-9059-2de7571df627 · outbound

This paper cites An empirical study of clinical note generation from doctor -patient encounters,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being An empirical study of clinical note generation from doctor -patient encounters,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.721571Z

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.

Observation daf9a62a-7e95-4ac4-b5b7-9789efc42aff · outbound

This paper cites Nutribench: A dataset for evaluating large language models on nutrition estimation from meal descriptions,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Nutribench: A dataset for evaluating large language models on nutrition estimation from meal descriptions,

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:15:52.618954Z

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.

Observation db0a163e-cac1-4f73-b75b-6f0e8a6eb887 · outbound

This paper cites Sensorqa: A question answering benchmark for daily-life monitoring,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Sensorqa: A question answering benchmark for daily-life monitoring,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.711340Z

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.

Observation 0d661909-4160-40cf-bc82-aee92e527cd5 · outbound

This paper cites Digital twins for well -being: an overview,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Digital twins for well -being: an overview,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.701672Z

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.

Observation 348c0b12-f33e-451c-90b8-c4529e3f24e6 · outbound

This paper cites Instruction tuning large language models to understand electronic health records,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Instruction tuning large language models to understand electronic health records,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.691127Z

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.

Observation a475bcd0-3a8c-4b7b-bbcf-9b12e6dc5057 · outbound

This paper cites The development of canprompt strategy in large language models for cancer care,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being The development of canprompt strategy in large language models for cancer care,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.680172Z

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.

Observation 00b86b4f-424e-4b7e-8a8d-fc894c6185a1 · outbound

This paper cites Prompt engineering in medical image segmentation: An overview of the paradigm shift,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Prompt engineering in medical image segmentation: An overview of the paradigm shift,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.669616Z

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.

Observation b2834698-4d89-486c-8d94-73245850c2fa · outbound

This paper cites How reliable ai chatbots are for disease prediction from patient complaints?.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being How reliable ai chatbots are for disease prediction from patient complaints?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.658950Z

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.

Observation ba1bc4b1-71df-4161-bdb3-01af7ebd3b81 · outbound

This paper cites Rlhf -v: Towards trustworthy mllms via behavior alignment from fine -grained correctional human feedback,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Rlhf -v: Towards trustworthy mllms via behavior alignment from fine -grained correctional human feedback,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.649116Z

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.

Observation 0f1fedad-a79f-4def-a54a-9629482eec64 · outbound

This paper cites Llm -therapist: A rag-based multimodal behavioral therapist as healthcare assistant,.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Llm -therapist: A rag-based multimodal behavioral therapist as healthcare assistant,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:52.639073Z

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.

Observation e57503cd-0af1-42f3-be6c-91bdbae797be · outbound

This paper cites Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:52.504208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c20517c4-aebf-4450-9ba6-0fd46ce0fd35 · outbound

This paper cites PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling.

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:52.508143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5fd13991-a745-486a-89bf-7b861986b84c · inbound

LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment cites this paper.

LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:24:01.651050Z

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.