Paper Citation Record · LEDGER

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning?

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.13309.

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

pith.paper-citation-record.v1
2608.13309 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:04:09.056139Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy16
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60dc80db-de46-40a0-8af9-4a4c4ec1e077 · outbound

This paper cites an unresolved cited work.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:04:09.497524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92c21acd-9731-4618-bc21-fa6fc3ce6d95 · outbound

This paper cites NeuroImage (2011).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? NeuroImage (2011)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.489055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6746de2-528f-477f-83ee-a0c83ce767ec · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? MAIRA-2: Grounded Radiology Report Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:08.973010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d399ab-a4f4-447a-a8f3-a241ae69c566 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.480927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a14cf81f-ee0a-41e7-9b52-d015cb766881 · outbound

This paper cites NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:08.979977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff90da0-6067-4cb4-9a46-b87b4dac295b · outbound

This paper cites arXiv preprint arXiv:2406.06512 (2024).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? arXiv preprint arXiv:2406.06512 (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:08.983253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8ea543-1ff2-4087-a77d-fb84af896065 · outbound

This paper cites Al Ghallabi et al.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Al Ghallabi et al

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.473569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 90755ed4-8b29-4e2b-bfcf-421995badfa9 · outbound

This paper cites GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:08.989376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7784593c-9dfd-458f-8471-2c9f2fe5d05f · outbound

This paper cites Radiology: Artificial Intelligence (2024).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Radiology: Artificial Intelligence (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.466205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 222ace08-e8c3-4b36-af53-df1a17cabbe5 · outbound

This paper cites Scientific Data (2026).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Scientific Data (2026)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.458332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da69bafc-082d-4b9c-84bb-1b36740cdfa0 · outbound

This paper cites Computer Vision and Image Understanding (2025).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Computer Vision and Image Understanding (2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.450222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 75698359-916b-4561-ba7d-52488124b816 · outbound

This paper cites OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.001063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e866cba6-c9ae-42d6-8bf0-be85c9c66f72 · outbound

This paper cites PhysioNet (2025).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? PhysioNet (2025)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.441525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2f201073-62be-4786-af8d-70da408ec972 · outbound

This paper cites OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.006942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 687af072-b4a5-48c9-acc0-12e61583c300 · outbound

This paper cites Journal of Magnetic Res- onance Imaging (2008).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Journal of Magnetic Res- onance Imaging (2008)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.432960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6cee82ef-74fa-4d58-bd1c-942a0f947a93 · outbound

This paper cites an unresolved cited work.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:04:09.424393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b23f9172-5ded-49fc-97d0-f9d1d0dc0b7d · outbound

This paper cites Journal of Cognitive Neuroscience (2010).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Journal of Cognitive Neuroscience (2010)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.415844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dfec82c2-81ea-41b6-b6ed-b4fdb798e178 · outbound

This paper cites Beyond the Hype: A dispassionate look at vision-language models in medical scenario.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Beyond the Hype: A dispassionate look at vision-language models in medical scenario

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.018689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2d4385-065e-4df3-8e5b-e659a21c17da · outbound

This paper cites Capabilities of Gemini Models in Medicine.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Capabilities of Gemini Models in Medicine

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.021866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ceb7ec-8399-4c58-9f9a-6aded50d2899 · outbound

This paper cites Scientific Data (2022).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Scientific Data (2022)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.407493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f60b4536-8ce9-440f-b20b-cca138e71664 · outbound

This paper cites LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.027344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf3b8d9-ce60-4c62-819c-38cece982ffe · outbound

This paper cites IEEE Transactions on Medical Imaging (2010).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? IEEE Transactions on Medical Imaging (2010)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.398723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7c13152-6717-4488-93d3-fa954318eb96 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? In: Advances in Neural Information Processing Systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.389260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da683b88-66a0-4a55-a3ce-f045881b18b4 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.380756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd4519fb-c311-4419-9698-249397b870a6 · outbound

This paper cites Nature Com- munications (2025) Time-Aware Multi-View MRI Benchmark 11.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? Nature Com- munications (2025) Time-Aware Multi-View MRI Benchmark 11

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.373014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5dccab8-f90c-451b-8dfc-7b501319ef53 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics (2025).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? IEEE Journal of Biomedical and Health Informatics (2025)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.365236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38e4cd32-cd85-4099-8727-372fe7f699c4 · outbound

This paper cites MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:04:09.239991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f403519-70fa-4f4e-bcf6-e97b87db41ff · outbound

This paper cites In: Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? In: Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:09.356692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5502b7a0-bfaa-45d5-9ea7-c459e7495ec3 · outbound

This paper cites arXiv preprint arXiv:2505.16964 (2025).

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? arXiv preprint arXiv:2505.16964 (2025)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.047453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e50fa1-4139-4c35-aa1a-54e2c6b0bc63 · outbound

This paper cites TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:04:09.099539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b68da07-8d79-4eee-a1d2-a1b106a71d02 · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.053171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b8814cb-7bcd-4d27-b8af-aa4bca715913 · outbound

This paper cites DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?.

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:04:09.056139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.