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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 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:59:40.981161Z

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 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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:3308ba99879ea2986d6c2ab3b4321b536d54b5bd411f6b0d97c5d4891bc72e23

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T23:21:42.029285Z digest=sha256:5886c31abec2c095d389cd46fe98746a3a29e1185b4abd56db157781abb7ff70

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:ee3c07bf0023f2595bb15ff9d8d8435b4d1e65041af3893116530b10e00cb8e9

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:20:06.381334Z digest=sha256:e01c6e0bceace52d5a37e68cbc5b03056ec7c5596e57656adbef2aede17cbcd4

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T07:58:35.069183Z digest=sha256:20ce099592d2201fe65c2b8a65b632995fffa14238a668c228aa8703262b33b1

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:95f9c515037e2e3152cafdcebb1466f84cf7bf1fc7f4ae126764b5d83f0ed8e1

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=sha256:1131fa581452e3b6ec3ff1d886b1eab740721b7a2993bf73f5b35bc2054570e6