Paper Citation Record · LEDGER

E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.14200.

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

pith.paper-citation-record.v1
2410.14200 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:07.677788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:45.669063Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3cbc623f-fd10-44ae-abf3-1f67173aa724 · inbound

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding cites this paper.

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.677788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe58d09-2280-4cd4-9efb-83fcd2722b81 · inbound

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models cites this paper.

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:29:07.989205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c722d88e-ced4-4541-b559-016081e4c178 · inbound

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography cites this paper.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:29:50.271724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2aad95-7a1e-4f7a-8e80-0139d63f7dfd · inbound

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis cites this paper.

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:27:51.868603Z

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 1c2d311d-ee1c-4b13-bc5c-ea866aa129af · inbound

Event Fields: Learning Latent Event Structure for Waveform Foundation Models cites this paper.

Event Fields: Learning Latent Event Structure for Waveform Foundation Models E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:32.020408Z

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 520f325e-f012-457f-93c0-0e30400192b8 · inbound

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models cites this paper.

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:27.092458Z

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 05976e4b-3266-4779-bd8b-3baf71c81b63 · inbound

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models cites this paper.

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:25:45.151889Z

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 9114b161-01e1-4134-85fb-8773cb22aa0c · inbound

WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records cites this paper.

WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:44.654620Z

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 ec6f975b-7f90-4481-a79a-5a4af14daf90 · inbound

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models cites this paper.

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:08:15.518584Z

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 65c78006-c6a8-4199-908e-df9c0fe4526b · inbound

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors cites this paper.

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:45.670763Z

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 2288ef82-ea26-42e3-8d16-d464570f7580 · inbound

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms cites this paper.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-14T16:31:09.661787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11193458-4225-4632-8e27-1cb2a4cbe6da · inbound

Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology cites this paper.

Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:20.148396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.