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Paper Citation Record · LEDGER

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2411.13902.

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

pith.paper-citation-record.v1
2411.13902 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:49:33.677443Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:33.053550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:56:20.565083Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d23e30e-a9e2-4aeb-a020-f38e9f55695d · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.529398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.529398Z digest=sha256:21dfda76bc8c56de6d42af957de948e1f4a21536d3b5b3b134d51f14e304ba09

Observation 98a6a45b-2332-481c-9be4-91f889e63611 · outbound

This paper cites DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.533378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.533378Z digest=sha256:4c90e8b37f2f9ca71346ade6d9ae6bdf566d8e1778e6956a9e048d6f8e188f8d

Observation 3dfb1274-7f4b-4ecb-adaa-cc60ec9a9010 · outbound

This paper cites HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.537385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.537385Z digest=sha256:badb62dd35ba399031796d4873e5024f3f0920f39e82bf62a8301d802f6e887b

Observation 5a348f38-9fb6-42e6-aab1-da762aa8d8ea · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.541260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.541260Z digest=sha256:ad70337ce8c02922d97411d958dce36b6a487edd7e41d0394fd5eaca3736ff8d

Observation 2226c221-a737-4a49-8f77-5ce1b3d3fd71 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.545182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.545182Z digest=sha256:be709f35c1b9f02cef6b3a06309490ed41542fe06e35a693480ea0ad68eb08b8

Observation e918db1b-d627-4a73-9603-1fc3e359a1bc · outbound

This paper cites AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.548909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.548909Z digest=sha256:a9063b3997b259192fd0fb666716fa04189bdbdded6e5189b761b34103cfe1ec

Observation 2532a834-a982-4f4d-bfb6-5649062e2ecf · outbound

This paper cites OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.553079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.553079Z digest=sha256:289e7c80e4918b68a731b5a188f09b67f1ee3b2e8f794b98d8d3741408ec18be

Observation d382c25c-e241-416e-9444-c31d5ccbfc88 · outbound

This paper cites Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, and Victor Tseng.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, and Victor Tseng

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.556856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.556856Z digest=sha256:5cf65fcccf0934d67cc94f4586212096ac8966dbff5720740b7efd6ae688d67a

Observation 43580a45-aad8-468f-921c-d441f29615eb · outbound

This paper cites Petrucka.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Petrucka

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.560635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.560635Z digest=sha256:5b3b3871aca16d0167a3bb3ed87449118cfd301742eb4f86c678cf0eaccf2f7d

Observation ec905472-6b6b-42fe-9f64-ad57427d0dcb · outbound

This paper cites Truong, and Alex Mariakakis.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Truong, and Alex Mariakakis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.564057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.564057Z digest=sha256:bfae7279ddec389d6e9fa21c97ff0361ae28434278093633e9ca78e998e69faa

Observation 513ba6af-2982-46ae-ac93-bdd4bdf78f66 · outbound

This paper cites Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.567304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.567304Z digest=sha256:49b34746fc28309ed3aaba6b7fbc0577a7fdf0811419ec2788b807de63873fc2

Observation 6d627768-d5f4-4494-90ca-35d395146a02 · outbound

This paper cites Leveraging Large Language Model as Simulated Patients for Clinical Education.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Leveraging Large Language Model as Simulated Patients for Clinical Education

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.571256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.571256Z digest=sha256:319139718b32e2e7b5a218900c232d920c33023675c6c43fce7e22882629b999

Observation c7e1337e-c53e-44ea-837d-afe219a09776 · outbound

This paper cites Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.575050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.575050Z digest=sha256:90813135fe1bcb7d7ce49a03b7d53012c868af272a0fde8c1131c80b94dfba2d

Observation bf8984ee-171b-4dcb-becc-6f816ba0daa7 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-12T15:49:33.840793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.578704Z digest=sha256:50341c48beecb836b2c100fefc611babd4390f430177fea37ed7e8e83caf05b9

Observation d4cacf41-dbfe-4eb8-84c6-c318b74150fb · outbound

This paper cites Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:49:33.828602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.582394Z digest=sha256:80ad60c55e5e21807b468febc5fca90cbf33285689833a001973b02234acabac

Observation dbe45031-d163-408e-b9d7-96e969934978 · outbound

This paper cites A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.585907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.585907Z digest=sha256:bb13cba9d1f0dd651e3f842f84a6c637e53705966a0c1f43015ae641676e76e6

Observation 954e4690-4312-4df9-996d-f592a239176d · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.588814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.588814Z digest=sha256:08fb38ad6c7f9936eaadf8cd70e760a4dc749657d3aba50ea43cbcb2a13bd1ff

Observation a001c3df-8e6f-4819-b962-5be52c8954c9 · outbound

This paper cites Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.591523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.591523Z digest=sha256:fe877267e0d5f8749d0c11684d4d02c9f6f8e927169e258e62ed198da8682b1f

Observation b6164e9f-4df9-4732-bce0-787572960be4 · outbound

This paper cites AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.594276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.594276Z digest=sha256:6f773faa8a3ef96765ec3c15dd4f80f618e8a20200f709312dfb8bc4c48e47e2

Observation b510bc51-2946-4e17-845d-67f8669b0344 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:49:34.281515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.597268Z digest=sha256:c237c2bddd3c2c804d4d0d4484378386bd2edf89df24cb18e2ead19d312329c8

Observation 0c19059c-8751-4bf1-ad84-a3a025250b9a · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:49:34.271247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.600658Z digest=sha256:4bc13cf7f9ffb5b9b621901f07b44c36ad7d988f81ae254b3a99994cb0208401

Observation 57239801-5a77-4508-9f03-5a974568bc7e · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:49:34.261614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.604127Z digest=sha256:fad5e4b8b0dd3d55972d686baac4c231e10d47868ccc3506dc7870f3f64a0c02

Observation 6e03a928-1c4c-439b-bd9f-49f49b1c1260 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Capabilities of Gemini Models in Medicine

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.607472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.607472Z digest=sha256:16dd13683e163dabe6eb2278e0889e6d5db236aa44d29d3bd190387108dbcf4a

Observation 8b9def9d-6d08-4209-bc21-a6c90e82615f · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.611025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.611025Z digest=sha256:ae139c20bf2a0a0cccacf572fc6686e9b9e27246dbaab3d2b64b080c5f858b6b

Observation 2b20981e-939a-413c-9a32-8818bae687b8 · outbound

This paper cites Sharkiya.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Sharkiya

Reference 25

Resolution
verified exact
doi, observed 2026-08-12T15:49:33.795201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.614831Z digest=sha256:c5f112fb0e9764c59b16aaf60e7e561de8a71e3ca9db6fc5ce0bf7b169242658

Observation 9ae4f76b-6184-4cf4-9a76-155c443d8198 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Towards Expert-Level Medical Question Answering with Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.618439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.618439Z digest=sha256:47bc7cad44f051a2eab67776c2bdf7173e99b7ed6fa5978773b7f54bd94c9341

Observation b7d3e5ae-a95f-4d7a-86b0-403e6578bb63 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-08-12T15:49:33.783764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.622262Z digest=sha256:7c4cd618327a0334da4fd5dc4921b84bcce0291097026f09c456acb3770ea5bb

Observation be15c098-6269-4bf0-8a9a-782000e3c360 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 28

Resolution
verified exact
doi, observed 2026-08-12T15:49:33.772184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.625930Z digest=sha256:c885022685d948f06ae613c443f2ea560fbf4d12ff633a9daec9ac3595cb3f24

Observation 35c0ff0e-856c-4462-bada-d0d3639dfb76 · outbound

This paper cites A Survey on Large Language Model based Autonomous Agents.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation A Survey on Large Language Model based Autonomous Agents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.629344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.629344Z digest=sha256:d3bb4e0d82622c7e8d1f8d8497feb8c2a0ac80ce6a697a01f223e4d7be496b1c

Observation 3435bdef-5f97-4c7e-956f-310bc75ad0e2 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.633110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.633110Z digest=sha256:e09f99a8df35f39e44596d113d7d991d3b9ad47e967c409450e0d72e49831814

Observation ec17dc41-98fc-48c1-afe0-872cffdaf49d · outbound

This paper cites PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.636844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.636844Z digest=sha256:ca2918454a786582f319d27770b697656f72bdc39f22cc52ee252df53ea043c1

Observation e9db82c9-6749-4e5d-a432-577b7867d81a · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.640975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.640975Z digest=sha256:c3ce164e5e443152acdd652217f024344ca6c3ea8a2e26613eec05129d93213f

Observation df465d51-f0db-4bdf-b33f-8d9110317f73 · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 33

Resolution
verified exact
doi, observed 2026-08-12T15:49:33.746672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.647858Z digest=sha256:2c33c89b2d34a1119a6014c97c9e0598a22213dbc5af917e56416df1e9595f10

Observation 712cf01c-4657-4f2f-98b8-db247ece3354 · outbound

This paper cites Qwen2 Technical Report.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Qwen2 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.652042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.652042Z digest=sha256:33af1081821d85fb3938e7bf0dcf4ba98f86d5ca1b09b6323432895497bbc980

Observation 2e568d3b-a82a-41be-84bd-05e18991522f · outbound

This paper cites Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.655749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.655749Z digest=sha256:72c700f39189faaa963ae807b2f70ec5c899aab17588e4c6f6472fcaa6a8c657

Observation abe49eb9-9866-4d0f-9b35-936bedb24a29 · outbound

This paper cites Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.659485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.659485Z digest=sha256:0dbc6ba2df195ca430ac3f274341381a3bee7d597cc2b29d13f31a2a6b7e0f49

Observation 720ea738-06c1-4280-9cf4-4263a4e4309a · outbound

This paper cites ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.662603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.662603Z digest=sha256:cc0eab5aae845ef46cdeb6aa4201cfa2a3acb3d563121af74aa153eebfb71104

Observation b4eb13f4-a895-46dd-8ad9-fbeb14ddeca2 · outbound

This paper cites Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language Models.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:49:33.899288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.665717Z digest=sha256:928d0482edcba448f8ee76442eb599860b5eeb2239b84ade3713ba99a66f5f5e

Observation a890f04f-da59-4e95-9d6e-9c0221b3478c · outbound

This paper cites an unresolved cited work.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation Unresolved cited work

Reference 39

Resolution
verified exact
doi, observed 2026-08-12T15:49:33.710368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:49:33.669470Z digest=sha256:aeefdded6eb0b6507e1a31b13d6fcc80bf26cac5b925e23c88195e4e8a715b46

Observation f661729a-a8b7-44ff-a01c-fce47f71deab · outbound

This paper cites online" 'onlinestring :=.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation online" 'onlinestring :=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.673284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.673284Z digest=sha256:a6dd442bd3679ff7cef18390512c580c65c30b05ff10522bfd8098be5ab1ca8b

Observation 17c01e25-45f5-4be1-9b1c-bab201fdf57b · outbound

This paper cites write newline.

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T15:49:33.677443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:49:33.677443Z digest=sha256:aa654a71fb28f8d0655c2002dc51a93becbf29ea7860723ab3abba98f2e7f789

Pith citing papers

Observation 9d40de9f-27c1-40b4-9809-100fcfbf4917 · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation

Reference 209

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:33.053550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:33.053550Z digest=sha256:e50f9ccfa18a2908e4a3471ea8fd2156a600041749b14d7c86bb7d0e05374164

Observation fa11f825-0aa5-4115-a0bb-298bf0f02967 · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:11.241798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:11.241798Z digest=sha256:bd11abe3b0a951e082c946fa55ea17965ce06cd22cdf6e60013ff60d59778690

Observation 6399fa54-391e-4a4e-b355-821489c294e5 · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:20.567432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-28T14:51:27.110839Z digest=sha256:c1c88d8ccb4ebda9fb8a5efbf282d866745071253cb76e005711765c7dbedb71