Paper Citation Record · LEDGER

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.03187.

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

pith.paper-citation-record.v1
2608.03187 v1

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measured 37 of 37 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 293878fe-9b0c-435e-9b29-8d5b1556c8da · outbound

This paper cites Krumholz, Jure Leskovec, Eric J.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Krumholz, Jure Leskovec, Eric J

Reference 1

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Observation 8c4792a4-a60b-4010-b55b-41eb8dbb82c3 · outbound

This paper cites Falcone, Pranav Rajpurkar, Eric J.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Falcone, Pranav Rajpurkar, Eric J

Reference 2

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Observation ecb8d868-9ca2-48b6-a353-b7271520fa0d · outbound

This paper cites Towards Generalist Biomedical AI.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Towards Generalist Biomedical AI

Reference 3

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This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 4

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This paper cites Med-Flamingo: a Multimodal Medical Few-shot Learner.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Med-Flamingo: a Multimodal Medical Few-shot Learner

Reference 5

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This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 6

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This paper cites Castro, Anton Schwaighofer, Stephanie L.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Castro, Anton Schwaighofer, Stephanie L

Reference 7

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This paper cites Contrastive Learning of Medical Visual Representations from Paired Images and Text.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Contrastive Learning of Medical Visual Representations from Paired Images and Text

Reference 8

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This paper cites Lungren, Ser- ena Yeung.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Lungren, Ser- ena Yeung

Reference 9

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This paper cites Agarwal, Jimeng Sun.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Agarwal, Jimeng Sun

Reference 10

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Observation f0ba5d57-0c08-4681-bae3-726aa3a1b4d8 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Learning Transferable Visual Models From Natural Language Supervision

Reference 11

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This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Flamingo: a Visual Language Model for Few-Shot Learning

Reference 12

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This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 13

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This paper cites Visual Instruction Tuning.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Visual Instruction Tuning

Reference 14

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This paper cites Attention Is All You Need.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Attention Is All You Need

Reference 15

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This paper cites The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Reference 16

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This paper cites Advancing The Cancer Genome Atlas glioma MRI collections with expert seg- mentation labels and radiomic features.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Advancing The Cancer Genome Atlas glioma MRI collections with expert seg- mentation labels and radiomic features

Reference 17

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This paper cites The Uni- versity of Pennsylvania glioblastoma (UPenn-GBM) co- hort: advanced MRI, clinical, genomics, & radiomics.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives The Uni- versity of Pennsylvania glioblastoma (UPenn-GBM) co- hort: advanced MRI, clinical, genomics, & radiomics

Reference 18

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This paper cites The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset

Reference 19

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Observation e9ee741e-0a1d-4d2b-849c-7138055feaa1 · outbound

This paper cites Louis, Arie Perry, Pieter Wesseling, Daniel J.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Louis, Arie Perry, Pieter Wesseling, Daniel J

Reference 20

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This paper cites van den Bent, Matthias Preusser, Émilie Le Rhun, Jörg C.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives van den Bent, Matthias Preusser, Émilie Le Rhun, Jörg C

Reference 21

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This paper cites TransBTS: Multimodal Brain Tu- mor Segmentation Using Transformer.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives TransBTS: Multimodal Brain Tu- mor Segmentation Using Transformer

Reference 22

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This paper cites Roth, Daguang Xu.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Roth, Daguang Xu

Reference 23

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This paper cites Jaeger, Simon A.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Jaeger, Simon A

Reference 24

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This paper cites Segment anything in medical images.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Segment anything in medical images

Reference 25

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This paper cites On Calibration of Modern Neural Networks.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives On Calibration of Modern Neural Networks

Reference 26

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This paper cites Detecting hallucinations in large language models using seman- tic entropy.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Detecting hallucinations in large language models using seman- tic entropy

Reference 27

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This paper cites Confor- mal prediction: A unified review of theory and new chal- lenges.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Confor- mal prediction: A unified review of theory and new chal- lenges

Reference 28

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NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Unresolved cited work

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NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Collins, Karel G.M

Reference 30

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NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Chen, Judy J

Reference 31

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This paper cites Evaluation and mitigation of the limitations of large language models in clinical decision-making.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Evaluation and mitigation of the limitations of large language models in clinical decision-making

Reference 32

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NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Retrieval- Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 33

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This paper cites Gen- erating Radiology Reports via Memory-driven Transformer.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives Gen- erating Radiology Reports via Memory-driven Transformer

Reference 34

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This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 35

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This paper cites RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Reference 36

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This paper cites CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 37

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Pith citing papers

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