Pith. sign in

Paper Citation Record · LEDGER

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2509.01554.

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

pith.paper-citation-record.v1
2509.01554 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:29:50.329921Z

measured 33 of 33 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:26:15.397248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.317139Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9f01c67-46b2-4be2-8c81-5e915db4d451 · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.230776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.230776Z digest=sha256:53150ad0e025a8e7ed4fa9bdd77306160bc90be7aceb667a45eda70058253f3b

Observation 98b114d0-d446-4962-a2eb-bd5bfa7d0c3c · outbound

This paper cites Merlin: A vision language foundation model for 3d computed tomography.arXiv preprint arXiv:2406.06512, 2024.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Merlin: A vision language foundation model for 3d computed tomography.arXiv preprint arXiv:2406.06512, 2024

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.235053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.235053Z digest=sha256:01aea71cbcb1642afb2565e73d3e48d7c5bbf312c72be12e6f37fe171b5655f7

Observation 69ec7f8d-fe51-480c-a2bb-c0d9731a8b4b · outbound

This paper cites 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.238266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.238266Z digest=sha256:4d1299fb9a63c55be7cab0da72af8e7f28fcb8b567fb3880ce887873ecc29c48

Observation ea931a47-c470-4eed-9395-81bc447e44e2 · outbound

This paper cites Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.Medical image analysis, 67:101857, 2021.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.Medical image analysis, 67:101857, 2021

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.789733Z

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.

source=pdf_text observed=2026-08-05T12:29:50.242250Z digest=sha256:62b195e73a2b5f583c636bc9934b642621e493d118a4a080e41c443a388568d7

Observation 94c3b252-b63e-4617-a418-8ce704894d65 · outbound

This paper cites Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1):1–23, 2021.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1):1–23, 2021

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.780050Z

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.

source=pdf_text observed=2026-08-05T12:29:50.246140Z digest=sha256:be6b018c65afa653bf2e09d753c40b04531010ef08ccdcae07907d89b91f97da

Observation 01fe50c5-36a2-4c28-adae-442454b4817c · outbound

This paper cites Developing generalist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834, 2024.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Developing generalist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834, 2024

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.251610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.251610Z digest=sha256:ebdcd1aa05e420a258045b8320731c1c3f61424a6eed2895b60a5d37aa7b2a00

Observation 0447330e-d74f-44d1-a07c-882bbaa6efa5 · outbound

This paper cites Joint segmentation and classification of skin lesions via a multi-task learning convolutional neural network.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Joint segmentation and classification of skin lesions via a multi-task learning convolutional neural network

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.770947Z

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.

source=pdf_text observed=2026-08-05T12:29:50.255181Z digest=sha256:87132f51e9489af09e0b6c52fc50774c141f1d3c4a9fd2fc21a3cb20b42c7c25

Observation ca10f169-19f0-433f-9f0a-ba88f793140d · outbound

This paper cites Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.761415Z

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.

source=pdf_text observed=2026-08-05T12:29:50.258829Z digest=sha256:bd9d5bb3b6ae94d7738895c85cd0b072ebb28dd3ef34ea3b3a29b16ef27659b0

Observation 02d04536-5715-42ea-9c01-999e63e73731 · outbound

This paper cites Inspect: a multimodal dataset for patient outcome prediction of pulmonary embolisms.Advances in Neural Information Processing Systems, 36:17742–17772, 2023.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Inspect: a multimodal dataset for patient outcome prediction of pulmonary embolisms.Advances in Neural Information Processing Systems, 36:17742–17772, 2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.752409Z

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.

source=pdf_text observed=2026-08-05T12:29:50.261962Z digest=sha256:a72d3151d7822811077e0eaca02ca36c9640052ba09e2ab674f50e071b5f74da

Observation 55f9b411-c2c8-4990-986e-73a7c53fbed4 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.742390Z

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.

source=pdf_text observed=2026-08-05T12:29:50.265018Z digest=sha256:eb06dd04b49bf6fc56b231931094f404ccd5051823ac7922ae9a5e14bb58cd1b

Observation f7aca68c-e8b6-4ac2-8fef-2ccf05d581bf · outbound

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

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.268161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.268161Z digest=sha256:cb2c3fbfe3d9cc06580f0c3027ba13b89740d434c74d8009bf602ad49884cff0

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

This paper cites E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model.

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.

source=pdf_text observed=2026-08-05T12:29:50.271724Z digest=sha256:b18716e5a6d49379ab135f648287c9ef049a86e23a16c141103ed7fecd519a1b

Observation 24d3a096-5b5f-465c-b573-9ce7c638ab7b · outbound

This paper cites Towards Universal Text-driven CT Image Segmentation.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Towards Universal Text-driven CT Image Segmentation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.275365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.275365Z digest=sha256:eaaffc6c981dd8c0364e406dcf2095b42c1cdef246207623bdd79b24d6853c7f

Observation 34192098-1b77-46e5-8b25-1d7452938647 · outbound

This paper cites Focal loss for dense object detection.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Focal loss for dense object detection

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.732790Z

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.

source=pdf_text observed=2026-08-05T12:29:50.278771Z digest=sha256:4a67d4331fe24abfb3a92e1402da55d4c4cf63d164c4c18870a3ce583e675182

Observation 8e7fb4d6-73d8-4865-9021-7023ff9c2bca · outbound

This paper cites Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention.Frontiers in Oncology, 15:1567577, 2025.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention.Frontiers in Oncology, 15:1567577, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.724032Z

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.

source=pdf_text observed=2026-08-05T12:29:50.281782Z digest=sha256:3de4f3df60c318b8ca3b3387ed27c87323ad3f857e20ee8b8d061172ad184df4

Observation 6cbc207b-eb7e-4e31-9534-8fbab8239be4 · outbound

This paper cites Y -net: joint segmentation and classification for diagnosis of breast biopsy images.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Y -net: joint segmentation and classification for diagnosis of breast biopsy images

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.714848Z

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.

source=pdf_text observed=2026-08-05T12:29:50.285216Z digest=sha256:603bcd4f2c5e9bc207c492a26dd9caa7e46fa5786fc32bf52551a2e4f880c567

Observation d701521b-c836-4eba-a352-ec26849ea807 · outbound

This paper cites A large-scale evaluation of automatic pulmonary nodule detection in chest ct using local image features and k-nearest-neighbour classification.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography A large-scale evaluation of automatic pulmonary nodule detection in chest ct using local image features and k-nearest-neighbour classification

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.705392Z

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.

source=pdf_text observed=2026-08-05T12:29:50.288060Z digest=sha256:f9fa14ad3975fb33bb37c80e6f12863bebd3669894683635847f24f56de9dc36

Observation 456a51e6-c3c8-4ca9-ac6e-2006d1c600c2 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Learning transferable visual models from natural language supervision

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.695468Z

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.

source=pdf_text observed=2026-08-05T12:29:50.290896Z digest=sha256:6148918f61fbb484ef09fef98f45c9cdc47037019ffdb0647412f4a7ea8e5f01

Observation 997ed41e-74eb-4cc3-9148-311efbcffedf · outbound

This paper cites 3d convolutional neural networks for stalled brain capillary detection.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography 3d convolutional neural networks for stalled brain capillary detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.685983Z

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.

source=pdf_text observed=2026-08-05T12:29:50.293650Z digest=sha256:e6cfb4773aaf152bd73583215805b5b8043c2ead8bf19ec1b7c9937f8ce5b673

Observation 51b1e985-1725-44b1-aaf1-b115ad478410 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.676519Z

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.

source=pdf_text observed=2026-08-05T12:29:50.296693Z digest=sha256:0e6cb1b60b4f0e2c00872bcb3a498b64404ee59095323d495b1be3dcdc3e7dc9

Observation 5aac79e3-b27c-4b6a-b112-edcccfba90ab · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Medclip: Contrastive learning from unpaired medical images and text

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.666994Z

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.

source=pdf_text observed=2026-08-05T12:29:50.299769Z digest=sha256:d357e12ae3083a427bed1802d0f727a6c303d7664d5f045a04beefe3e34d0e7d

Observation 7bf6170a-8f84-4551-8e79-dcd054d90bc3 · outbound

This paper cites T otalseg- mentator: robust segmentation of 104 anatomic structures in ct images.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography T otalseg- mentator: robust segmentation of 104 anatomic structures in ct images

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.657128Z

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.

source=pdf_text observed=2026-08-05T12:29:50.302634Z digest=sha256:084fc99c3641e50957b9838f444574222c8b7efae7c48ad129b246112afe1f18

Observation 7e45f5ae-5c2b-414d-a2c7-0db942c22f00 · outbound

This paper cites Navigating data scarcity using foundation models: A benchmark of few-shot and zero-shot learning approaches in medical imaging.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Navigating data scarcity using foundation models: A benchmark of few-shot and zero-shot learning approaches in medical imaging

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.647534Z

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.

source=pdf_text observed=2026-08-05T12:29:50.305500Z digest=sha256:a53fee535c0fb13ca0fe59021316701c611d38d8d015a87aa6026b2c0a69ffa9

Observation 4ccbc59d-e9f0-4cfa-9910-72b37cbd219e · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.308443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.308443Z digest=sha256:1981fe1675d0f5e4684c09abbec26385ec4e0a9c40f28185d0af2efefc86013c

Observation d90a29e5-f704-4083-8fe9-0db964224adc · outbound

This paper cites Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.311969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.311969Z digest=sha256:104695249a3d93d4b7c405395d1abb8877ee2085331f71aa9f85251427ce03de

Observation 033b8a5d-d653-4fbe-9784-73181d7cc560 · outbound

This paper cites A large language model for electronic health records.NPJ digital medicine, 5(1): 194, 2022.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography A large language model for electronic health records.NPJ digital medicine, 5(1): 194, 2022

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.637851Z

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.

source=pdf_text observed=2026-08-05T12:29:50.314991Z digest=sha256:49e620248c71a85f41b84ab95a1d66b3bf4147a215cd7dd0f1cdfa1260990cc6

Observation 29c20ab6-013f-4e01-a00c-ddca87d198c5 · outbound

This paper cites Evaluating progress in automatic chest x-ray radiology report generation.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Evaluating progress in automatic chest x-ray radiology report generation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.628249Z

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.

source=pdf_text observed=2026-08-05T12:29:50.317631Z digest=sha256:2ba659744ad6df9e1ad6fe57ec7e780519839aa6c9935357044eb2a96b9c2f3c

Observation 8d69d8d3-8cb2-47f9-a58e-101024da15be · outbound

This paper cites UMIT: Unifying Medical Imaging Tasks via Vision-Language Models.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography UMIT: Unifying Medical Imaging Tasks via Vision-Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.320649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.320649Z digest=sha256:b9ac09ef564bfc4e52f2421e940c071b5c4ba8f1edb58d45f3df803129552064

Observation e5ada4e5-c073-4483-b787-c5c5e95b426c · outbound

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

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T12:29:50.323624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:29:50.323624Z digest=sha256:165bc6ef7f07970b4c0959d54dc4b88ce770a09b65e0cb9a3ad89ec18c3cdb3b

Observation 9187d00c-e273-4219-bc57-f00f075d9705 · outbound

This paper cites Knowledge-enhanced visual-language pre-training on chest radiology images.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Knowledge-enhanced visual-language pre-training on chest radiology images

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.618386Z

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.

source=pdf_text observed=2026-08-05T12:29:50.327193Z digest=sha256:1596ce8e85aff1e9a1deadcfc8fb62239368dad65745a352b5c876fa5e9af437

Observation d7cd701d-e306-4083-8cfb-8f7d4357212d · outbound

This paper cites Mediclip: Adapting clip for few-shot medical image anomaly detection.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Mediclip: Adapting clip for few-shot medical image anomaly detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:29:50.608447Z

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.

source=pdf_text observed=2026-08-05T12:29:50.329921Z digest=sha256:5700f0f521922ea4caba72820cf4a691477bd7c0bb69d8956d031ef4701e20ee

Pith citing papers

Observation a24af911-f5c3-4e11-b7b5-07beb8ea6617 · inbound

ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification cites this paper.

ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification Unified Supervision For Vision-Language Modeling in 3D Computed Tomography

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:06:47.786921Z

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.

source=pdf_text observed=2026-06-28T06:26:15.397248Z digest=sha256:bb0081384a574a4e8df850970ac151dcbee826f6d03a1f19701cf16abc017fdb

Observation ba1abf82-f8ab-48c0-b125-086ca049f069 · inbound

Efficient Multimodal Clinical Question Answering for Pulmonary Embolism Risk Assessment cites this paper.

Efficient Multimodal Clinical Question Answering for Pulmonary Embolism Risk Assessment Unified Supervision For Vision-Language Modeling in 3D Computed Tomography

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.319066Z

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.

source=arxiv_source observed=2026-06-26T11:10:36.773518Z digest=sha256:b03674ad7e252e9db2044cd08331954fadadb719ab953c1becd1d097ef479d11