Paper Citation Record · LEDGER

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering

As of 15 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.14451.

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

pith.paper-citation-record.v1
2506.14451 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:34.251478Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

48 of 48 outbound references displayed

verified exact1
verified fuzzy20
unresolved27
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec56a057-e04d-4262-8001-903c35a4029f · outbound

This paper cites Ai agriculture: Boost yields with yolo11.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Ai agriculture: Boost yields with yolo11

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.967727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7f06b3d-0d6d-4bca-9e00-731828a23a25 · outbound

This paper cites Video alarms for 24/7 security & monitoring.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Video alarms for 24/7 security & monitoring

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.739764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bfa3fdd1-49fd-4511-926c-a17d98f64c3e · outbound

This paper cites Babydoctor.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Babydoctor

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.414749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f9771bc-cce5-4c08-b089-e7182919ab72 · outbound

This paper cites Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:27.807414Z

Source-reported events for the cited work

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Observation 4539574b-bd30-4d18-b4d9-921ead02e053 · outbound

This paper cites Large language models encode clinical knowledge.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Large language models encode clinical knowledge

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:27.948216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54cbccb-7601-4b8d-8582-8583470fb906 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:28.089245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe28cd94-c7d3-457b-922f-f142786229b3 · outbound

This paper cites All you may need for VQA are image captions.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering All you may need for VQA are image captions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:28.220965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1162de9-890e-4f20-a76d-1880e20ce34c · outbound

This paper cites Pre-training image-language transformers for open-vocabulary tasks.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Pre-training image-language transformers for open-vocabulary tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:28.371503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4000eada-f398-4613-9ea6-deae126fac19 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering PaliGemma: A versatile 3B VLM for transfer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:28.513170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fa2a7e-21b0-410a-b5aa-2ee7e433f06f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:28.620385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30253ec1-9cae-49de-a3d9-70dd616e2b02 · outbound

This paper cites SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:28.726343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bcf2d61-6aa5-4f61-b3bd-31817e2745d0 · outbound

This paper cites Pmc-vqa dataset, 2023.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Pmc-vqa dataset, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.164049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e7782c8-cf99-42e5-8da6-7863d4c2895d · outbound

This paper cites Friedrich.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Friedrich

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.927335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b8dd4e6-d4df-453e-92b9-fb8b6674edfd · outbound

This paper cites Medpix 2.0: A comprehensive multimodal biomedical dataset for advanced ai applications,.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Medpix 2.0: A comprehensive multimodal biomedical dataset for advanced ai applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.719471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e4d07c8a-2724-44c8-9b77-9cbe7892e121 · outbound

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

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:29.522542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09c52bf-c3ae-4769-837f-400ce84440a6 · outbound

This paper cites ChatGPT: A Large Language Model.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering ChatGPT: A Large Language Model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.521645Z

Source-reported events for the cited work

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Observation cc9fb1ab-c5b9-41ee-b940-03cbe2c3cd8a · outbound

This paper cites Healthsearchqa.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Healthsearchqa

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.299179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57de0cb8-6f11-42f4-9d75-99494a06c8e8 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Scaling Instruction-Finetuned Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:29.950617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c58e19-c26b-4cbf-bcfe-f0b155d32171 · outbound

This paper cites PubMed Central (PMC), 2024.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering PubMed Central (PMC), 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:38.989774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4fa5e36c-643f-4338-92e0-8ee30e3622c7 · outbound

This paper cites Nvidia a100 tensor core gpu, 2020.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Nvidia a100 tensor core gpu, 2020

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:38.646705Z

Source-reported events for the cited work

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Observation 831b2eae-40e2-4858-ba9b-ecc6360b60ed · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering LLaMA: Open and Efficient Foundation Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:30.450629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac30739-9eba-4feb-9db3-532bf6a81145 · outbound

This paper cites Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:38.318674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e293975-e68e-47a1-be04-f74b75299807 · outbound

This paper cites Show and tell: A neural image caption generator.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Show and tell: A neural image caption generator

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:37.961957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b7c4b12-36c4-4440-aa26-94f877dc2130 · outbound

This paper cites Referitgame: Referring to objects in photographs of natural scenes.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Referitgame: Referring to objects in photographs of natural scenes

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:37.666127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0720076-7434-4d3b-9187-7ab8b2d5bc05 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:30.809954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbce065-2314-4c16-9136-1ed86bdef1c8 · outbound

This paper cites Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:30.876388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1978bb5-3fc9-45e6-af55-31c7f0705918 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Sigmoid Loss for Language Image Pre-Training

Reference 27

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Source-reported events for the cited work

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Observation 33b1f385-4617-4822-b532-f7b89672dace · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:31.138731Z

Source-reported events for the cited work

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Observation e61a3d70-704c-4738-a674-5cf794f2ea23 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Gemma 2: Improving Open Language Models at a Practical Size

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:31.335216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289501d2-eec9-4c8c-9733-645b9a3e14fb · outbound

This paper cites an unresolved cited work.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Unresolved cited work

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e4f2de0-b97d-40f0-980b-4e688a2f2045 · outbound

This paper cites LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:31.623245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93204a6e-e295-487d-a9b2-c0c4d5cdc31d · outbound

This paper cites Searching for unintended biases with saliency.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Searching for unintended biases with saliency

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:37.379690Z

Source-reported events for the cited work

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Observation ae0d4fd1-efac-4eaf-9544-ae9fb747d88d · outbound

This paper cites Attention Is All You Need.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Attention Is All You Need

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63b4285-b633-469b-ad53-2207b4205ba5 · outbound

This paper cites Transformer interpretability beyond attention visualization.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Transformer interpretability beyond attention visualization

Reference 34

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Source-reported events for the cited work

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Observation 59422169-b181-46bf-9803-d3861e16fe34 · outbound

This paper cites Explainability for vision transformers.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Explainability for vision transformers

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:36.907413Z

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Observation 655eca3d-cd21-4dd0-8210-4857c8648b83 · outbound

This paper cites MedPix: Free Online Medical Image Database.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering MedPix: Free Online Medical Image Database

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:36.596688Z

Source-reported events for the cited work

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Observation 4f00ec0a-4b42-47a9-a2ad-f5eba5034d95 · outbound

This paper cites Lin et al.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Lin et al

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:36.292038Z

Source-reported events for the cited work

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Observation 7d012bea-a758-4e5b-b7e6-288bc1cba0b5 · outbound

This paper cites ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions

Reference 38

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Source-reported events for the cited work

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Observation 32ec1b1e-398d-44fd-be06-9ef775484672 · outbound

This paper cites Language Models are Few-Shot Learners.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Language Models are Few-Shot Learners

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0954788b-bf76-486d-9c5d-b306f716040b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Training Verifiers to Solve Math Word Problems

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a16d0374-6607-4850-be23-ffa3b0545237 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Measuring mathematical problem solving with the math dataset

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718c9b81-d977-480c-9672-755c7693d463 · outbound

This paper cites Curriculum Learning for Data-Efficient Vision-Language Alignment.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Curriculum Learning for Data-Efficient Vision-Language Alignment

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:23:34.651542Z

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Observation 42a278dc-d580-42c9-bf0c-bc8caf2d22ae · outbound

This paper cites PMC Open Access Subset.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering PMC Open Access Subset

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:35.960620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7ff8832-b00c-4283-9c0c-11f6eaa9d962 · outbound

This paper cites When scaling meets llm finetuning: The effect of data, model and finetuning method.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering When scaling meets llm finetuning: The effect of data, model and finetuning method

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:35.673139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e3b4cb3-70d0-4fbc-abcf-c88da8af3805 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:34.021746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4476fcd-a708-45f0-a359-2255ac72e2d7 · outbound

This paper cites Bleu: A method for auto- matic evaluation of machine translation.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Bleu: A method for auto- matic evaluation of machine translation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:34.151279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2e4bf9-dcfe-475b-9459-33bef2cb4f91 · outbound

This paper cites "" Figure 9: Generate Literature Based Questions Prompt B Evaluation and Saliency Diagnostics def evaluate_generation(generation,ground): prompt = f.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering "" Figure 9: Generate Literature Based Questions Prompt B Evaluation and Saliency Diagnostics def evaluate_generation(generation,ground): prompt = f

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:35.265017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86b58f7c-bb01-4536-a29c-4e6bcfd0f61f · outbound

This paper cites MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:29.392852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.