Paper Citation Record · LEDGER

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

As of 13 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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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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