Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2408.02900.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:13:31.695938Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:29:37.756724Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation b8079369-bdc7-406e-a743-5feb1c43eb59 · inbound
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 135
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7486be58-79b5-478a-b107-c31d53858cc7 · inbound
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c4cdb70-7b00-4997-831d-c99d919ca950 · inbound
KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31afff91-5c0d-4f8b-851b-ed573b3c889e · inbound
Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93861830-7f8f-4e38-842d-996127281bf4 · inbound
Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60298160-bb4a-4d03-9e2c-2e47c5625230 · inbound
Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42125ddc-4570-45f7-b84c-5dba5e666f68 · inbound
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 63
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ad3ebbe-31a3-4e6f-b5f6-27b38b21d7d6 · inbound
MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2720386-61c2-4ace-8c1f-00262c4aa714 · inbound
Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 80
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b296d591-f873-4b7d-b1aa-5218d466808f · inbound
CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f30cdb93-a428-468e-8bbf-b0722b1f2d85 · inbound
MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8d3173ed-4c53-4462-8f65-a51b27e12d82 · inbound
Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8cce3545-dddb-481e-a310-bfd55eb920c7 · inbound
Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2f74418-742a-45d2-9204-429682105ab2 · inbound
TextSLIP: Text Self-Supervised CLIP for Medical Report Generation MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.