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Paper Citation Record · LEDGER

MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.13856.

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

pith.paper-citation-record.v1
2503.13856 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:45.138255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:47:59.609594Z

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 da4f60f5-afce-4385-b2f4-dcc0e8c60890 · inbound

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification cites this paper.

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:45.138255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:45.138255Z digest=sha256:f1bd9db78921ac2210bd6f174ac8d0b4237be026406fb54012ccdd42d4e058f3

Observation 4796ac89-5e69-491f-a2b4-0d6da699a742 · inbound

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems cites this paper.

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:02.370879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:02.370879Z digest=sha256:16a5696e1ee50fa484f2103ec19d106d94634b13a0cfccd49b535263384e06d5

Observation 2b4d174e-6fc8-4ec6-9d61-2fcaa551a3fc · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.687968Z

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.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:6a004704419607c636b458688b3e69c056e0ada49a85f0cfc993d915ef502afc

Observation 0ae54388-9ec9-4f1a-8d5c-a2dab2638218 · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T23:21:42.311673Z

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.

source=pdf_text observed=2026-05-15T23:21:42.029285Z digest=sha256:5de56919d787f134db1ff83e58f4748acecfef6c2a36555aa51ad980615f3306

Observation 8c968765-d127-4291-bd54-35ef99546997 · inbound

Reasoning LLMs in the Medical Domain: A Literature Survey cites this paper.

Reasoning LLMs in the Medical Domain: A Literature Survey MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T15:59:40.981161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:59:40.981161Z digest=sha256:8f7d93dab5e19be186225b27fc33f89af806e9caa68c1243a248f0db401cf016

Observation 9a552f8a-8ee7-42ac-972e-d04da3bb2afc · inbound

Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection cites this paper.

Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:26:22.834103Z

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.

source=arxiv_source observed=2026-06-28T14:20:06.381334Z digest=sha256:f5424a52092db0338a280ac788daa90bcfe9a038e8071f2f983e553a59efe292

Observation fcc544e2-01bb-4176-b286-582fca97e1fe · inbound

MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis cites this paper.

MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:56:40.407964Z

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.

source=pdf_text observed=2026-06-28T07:58:35.069183Z digest=sha256:e762a61a5353a5c2bc8f6db4bd6f86594cc787169bff54a785e99a8ec43b9b7c

Observation 05e7bfcc-69f8-4df3-898e-8b3cc404de74 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 163

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:47:59.610905Z

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.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:ad44c882f06a15961937f50db5306bfb109a92ef381cb32005e40e14a6e220ac

Observation b73e65d1-11f8-4da2-9e7b-ad3a68d169df · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:1e9b0504e363f6b4f660e3af3cf9b78df6464023ee670b0dfb3388fa4cd24cce