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Paper Citation Record · LEDGER

PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2401.02797.

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

pith.paper-citation-record.v1
2401.02797 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:54.205374Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 868a8b7a-3584-45a6-9cac-c12faeedf4c6 · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:24.825358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-23T20:10:59.264484Z digest=sha256:cbd3947876dab5de33a5d601961e360475be4babb2588e37a3dd64db59a8137c

Observation f3678680-a643-4747-adf0-cf3eb10e24ed · inbound

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data cites this paper.

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T15:04:14.513886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:04:14.513886Z digest=sha256:2a54d626557d21c6a9fa287b7a55e95e29a3b75f02f8f01eb79c7a5018e61e57

Observation f4a0fc5d-137e-4bef-834d-d3b875abdb1d · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 282

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:09.993035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:08:09.993035Z digest=sha256:37e8fb8be50e9363e42f3b10359bfad4c77e253414a4119a3f7fd60f7ad08d05

Observation 746b354b-d092-4269-bf7d-77887fd794ee · inbound

Membership Inference Attacks Against Vision-Language Models cites this paper.

Membership Inference Attacks Against Vision-Language Models PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:10.864437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.864437Z digest=sha256:62d1695fa35f49217124cd8472a3fb3e7ec1d5d03efbf5e63110db660024d35b

Observation 797cb954-ef35-4985-9844-eee3a43fba77 · inbound

Multimodal Large Language Models for Medicine: A Comprehensive Survey cites this paper.

Multimodal Large Language Models for Medicine: A Comprehensive Survey PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:54.205374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:54.205374Z digest=sha256:0ccccdc2e6082bad7b232cef269dd4049f32c403985e625a82ed9e8bf2853944

Observation 290f59ac-1ebd-478a-ae51-2706868dd276 · inbound

MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks cites this paper.

MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T22:52:07.166083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:52:07.166083Z digest=sha256:f2e93bada66f3f3c6f70c1c780b955d39e5eba77affe1d8b1e2c3fbe7b9ebbe8

Observation 533f03c9-e602-45d4-b08d-ba5798b4e695 · inbound

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering cites this paper.

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:28.965099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:28.965099Z digest=sha256:8b55fddaddd88bd609734e317565ea7119e57f41ad49dd25e99a64bd6d0f4407

Observation af359957-d2aa-45cc-be68-3ad557b436f3 · inbound

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis cites this paper.

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:45.618607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:45.618607Z digest=sha256:a050a507e623c22f936ea4a32e6e2113ea76bbef911fba1f1bdf04ccfb7cf927

Observation 69e8da40-8ffa-4c59-b5b9-efe5f1ee94ef · inbound

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models cites this paper.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:24.509337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:24.509337Z digest=sha256:01d2cba9165e1935b42dacd834b23fc3b6af0a8641801a4c4263219e75d2679b

Observation f34bb956-f8a1-41d3-90da-e2593ba13d48 · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:51:06.786839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T13:48:17.815440Z digest=sha256:cc2f881f8177346b604e26dbaeb1567d92801fd3b94d44287e61e078cc26b2c7

Observation bd3b911f-c980-4809-9b2e-fe86e4a784f8 · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:54.895510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T02:03:15.389641Z digest=sha256:40cb8731ecb5aa3c5c02f9541b6b86d88a64f3c521cd07da8e4a941582bd926c

Observation 9f84aa8c-eee1-4207-9386-223726dae523 · inbound

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound cites this paper.

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T15:34:47.557308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:28:08.960088Z digest=sha256:a766e568b51900a3cd726c4541fced6c19a9167eb8a128df37660c31293b47e4

Observation ef06f619-b4b4-4839-9a24-d13c0ce1d953 · inbound

Noise-Aware Visual Representation Learning for Medical Visual Question Answering cites this paper.

Noise-Aware Visual Representation Learning for Medical Visual Question Answering PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:55.436365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T03:11:58.737546Z digest=sha256:c3c2e4abf966e2312bc0bcf99e3bdadae09078fb9b60aa6c8bbf2bf787ae6ac1

Observation d11be1ca-b46e-465c-a147-b274b80ad646 · inbound

Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering cites this paper.

Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T00:13:39.258091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:13:39.258091Z digest=sha256:e75626e606f7b73a156e2654e61b6187400302782e7d103b568a1ed0b7e47162