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Paper Citation Record · LEDGER

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.04954.

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

pith.paper-citation-record.v1
2412.04954 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:10:16.937315Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

51 of 51 outbound references displayed

  • verified exact7
  • verified fuzzy1
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abfa6e9c-6ade-47b0-9d00-6297e739ebbf · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Flamingo: a Visual Language Model for Few-Shot Learning

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.529113Z digest=sha256:bde2b63eeca857638ce71dda4de6710979f959521f31fdaf40cdcffa0960bd07

Observation 471c0918-6370-4794-9c06-746f7816d1ee · outbound

This paper cites PaLM 2 Technical Report.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation PaLM 2 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-11T21:10:16.536765Z digest=sha256:f7241b5e34ebd84fa0aa967f8e0e4044776bff1a2ed86a02985647ffc3d324fb

Observation 2af2ef11-bc1c-4599-b6f3-f9e0d7ab15b7 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 3

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source=arxiv_source observed=2026-08-11T21:10:16.542707Z digest=sha256:5da0274fd35bd3075bed94ddd9d5b4af2443b8f9a1a0bcacc019298203e26af0

Observation a3fcb0fe-8a94-45e9-962a-5479808a42e8 · outbound

This paper cites Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.549350Z digest=sha256:ca04705ce6f58db5978584734c4143aa3b1bdb3c7246f7813d8cbe4989b7bc64

Observation 683e3801-38dd-4b22-9bc1-a5152259bf79 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-11T21:10:16.555642Z digest=sha256:0769cd8debe4cbbd5dd3a252fc4a5f81373b9a674b27c73eaa900fbbc95b6ddc

Observation 7e4a401a-008a-4571-84b2-124f99219819 · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T21:10:16.561939Z digest=sha256:5ef0d380c66a479e3c734d4e6da3abbd9d9938a80a7c96e2e273ac816b7e4b11

Observation cb82ba5c-86eb-482c-b375-831cdbd826d1 · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation A Survey on Evaluation of Large Language Models

Reference 7

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source=arxiv_source observed=2026-08-11T21:10:16.566732Z digest=sha256:bb4f94ebd19def2b80b4b7567c90d565267c65bef278261381228af52ad8e9fb

Observation 5f3eaf3f-b611-4365-bbdf-c9dd53e4fc37 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Gonzalez, Ion Stoica, and Eric P

Reference 8

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source=arxiv_source observed=2026-08-11T21:10:16.573050Z digest=sha256:ee43563e9a76419d1f7b0e84e022a09cace04eec66b651cebd773d80bfec6676

Observation 7d58b101-7049-4f7a-a052-5c0aebac7f05 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.578316Z digest=sha256:6e06a74712fce16bc5c993c2c556ea1da4fc8dea6234aa0f114e7d5caa78ea9c

Observation 70351da4-cd14-4844-94ea-7de82b18124b · outbound

This paper cites BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

Reference 10

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source=arxiv_source observed=2026-08-11T21:10:16.583739Z digest=sha256:439674516d82f05169c75c0c2c9d1f4854f6a58bba410ebacc2b54430227af60

Observation 4def7ba3-8150-4504-aedf-45b2fa9c6fa1 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-11T21:10:16.591787Z digest=sha256:14c58e30cbcf5bc1af80f9614f39198d68fa5ca19629cdc3ce3223c67159ce38

Observation 4e1d56e0-d261-4e29-b443-99ddef7def09 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 12

Resolution
verified exact
doi, observed 2026-08-11T21:10:17.060820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.596583Z digest=sha256:285a81cd2fbcd0c861bccfa496bbbfc12dbd653807b952bc5e862beec279e619

Observation 8eead364-2acd-4172-bcb6-8fe303fcc1e5 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation PaLM-E: An Embodied Multimodal Language Model

Reference 13

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source=arxiv_source observed=2026-08-11T21:10:16.601868Z digest=sha256:d00b354162ff2aec6a5595d31019932273681b2423e96e26cfee1b0a3b8974d4

Observation f0e23cc1-cd6d-41cf-8b13-6a324e751d61 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-11T21:10:16.606741Z digest=sha256:f16cf67bb5dc5306f0b109e378a6c9f5dbb0d643e20590d6b2dc2373e17a613a

Observation ef8f24b8-af9d-4cff-bc17-f1c27c9981d1 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 15

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verified exact
doi, observed 2026-08-11T21:10:17.039697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.611786Z digest=sha256:5d2bf959426559e2880e66fdf2bbac33c9a86323f8156f4d7717aad1458fe969

Observation fd39ffbd-dcec-4014-a776-09d5987565ac · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Generating Sequences With Recurrent Neural Networks

Reference 16

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source=arxiv_source observed=2026-08-11T21:10:16.616632Z digest=sha256:6e1e6b61c5ca18604b7c1ddc562eafbeb57acbf82c32e01d7ce3487447e24b31

Observation 1213c708-5c2c-493e-8eb9-4a9124ca4509 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Gaussian Error Linear Units (GELUs)

Reference 17

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T21:10:16.621479Z digest=sha256:00acb989c9259ad7f601e474948741660b28e0b21a0e01372c927144a00a0c96

Observation 0cad7882-d3a9-4b08-be5b-39ddc0a289e9 · outbound

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

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

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source=arxiv_source observed=2026-08-11T21:10:16.626589Z digest=sha256:3449cb9e39ce396c96b8fb7bef1de5737e5ae4b81f1fb9b73d0662d788ebc194

Observation be561974-a922-4eda-986f-9d24a83c0db0 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 19

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verified exact
doi, observed 2026-08-11T21:10:17.023866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.631837Z digest=sha256:543ab7801b47b802723e6090375f3057482e46d7bfd2e0607e0ba05b92fbdfce

Observation 56157e48-cd23-4440-9d8b-d9229179f807 · outbound

This paper cites MAIRA-1: A specialised large multimodal model for radiology report generation.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation MAIRA-1: A specialised large multimodal model for radiology report generation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.638055Z digest=sha256:d48a6fcb559789b7f5ba6cac89154b33686d64e3fbf39bfe985dadbba51d9b11

Observation 14b88676-18fd-48e5-8e91-8f717a2337b9 · outbound

This paper cites Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:10:17.794014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.642872Z digest=sha256:3c2e43b7df0262d1fa93f1dcebadc650bebbabe60216e38f6b75af7a370cf6ce

Observation 96d7baa8-9e97-4620-837e-a6fae3c446ee · outbound

This paper cites PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 22

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source=arxiv_source observed=2026-08-11T21:10:16.647880Z digest=sha256:e35646b52cfd7fbe06d972dac4b9bd54d7a3a18363c7b1e5cb7cf32432739205

Observation 42716168-9916-4794-8c5e-4ddd689acb69 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-11T21:10:16.652612Z digest=sha256:440ada04bb2ebe5056097a6378507bcffffdb830986534c144aaae566f5b0a88

Observation 55e71baf-05a1-43f8-94ef-4ec640b54103 · outbound

This paper cites Kahn, Curtis P.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Kahn, Curtis P

Reference 24

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verified exact
doi, observed 2026-08-11T21:10:16.998387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.658503Z digest=sha256:ee6b2214839dbf32a911c2d26e85be5abc8666daa4397252302fad3b3c2689cd

Observation 06887ee2-fa4a-44cd-a1c4-e23d4622e0e3 · outbound

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

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 25

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source=arxiv_source observed=2026-08-11T21:10:16.665107Z digest=sha256:615b4af57595dfbe20a6b12194386b5ca7f4e6e813c367f0f89e78fcb7471689

Observation 6438c0af-a483-41c1-93de-d30491c18679 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-11T21:10:16.672516Z digest=sha256:6a928b6a2b041a3e2b279326fc878ecb52c10ef2a33de20466956e0b0c3cf693

Observation f09dc815-9fdb-4a8b-a6b0-cfedb5757903 · outbound

This paper cites Visual Instruction Tuning.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Visual Instruction Tuning

Reference 27

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source=arxiv_source observed=2026-08-11T21:10:16.677725Z digest=sha256:902dc0e80beda95193f973d8e37264942b47b26b42212c2714074de4a2cfdd2f

Observation 5d6db049-214f-4e41-a08f-80e03f5d22ad · outbound

This paper cites Radiology-GPT: A Large Language Model for Radiology.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Radiology-GPT: A Large Language Model for Radiology

Reference 28

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source=arxiv_source observed=2026-08-11T21:10:16.683199Z digest=sha256:00cf0ececc5711ab886d88cacc6f1822bd82ab0b989940e8624d2fb5e8e96b7c

Observation c59a3b5f-47b3-4e4d-aeb4-bcfac490a3c3 · outbound

This paper cites CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:10:17.728986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.690834Z digest=sha256:e3b68565d764962055697bf3fe28635c444efc3aed99db56529bef39d5166858

Observation ac9ee785-d3d0-4313-af3c-b65e446e56a7 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-11T21:10:16.696805Z digest=sha256:a862b051cb7ab6a6fbd4852d5cb3cdbe382994deef4a8cdd5ce653a86b2fde3f

Observation 248c3f8b-1cd3-4fc1-86c7-b16e7610c56c · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-11T21:10:16.702665Z digest=sha256:6c6754ca8c1b0776936dac51bc74951d3836d5c438e2732a3dfbf71a8511438c

Observation 44cfb8c6-8b75-4974-aac4-ac95b2bac746 · outbound

This paper cites Med-Flamingo: a Multimodal Medical Few-shot Learner.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Med-Flamingo: a Multimodal Medical Few-shot Learner

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.714881Z digest=sha256:122a5f21ab06c309566d6449c0cb6c1cba541f8a7df4ffaf65644d41eb6720cf

Observation 9b723811-132c-4ad8-b6ab-503c456e3901 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.720981Z digest=sha256:138f6f1750b3ea76fcf525bf4a4c6a13691636a3788e9288d44bc485486ec872

Observation 66dc9f8a-921e-46b3-8fe7-e5c9e6c68cb3 · outbound

This paper cites GPT-4 Technical Report.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation GPT-4 Technical Report

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.726002Z digest=sha256:6cf6881c5535be410004f1fa87f05c3f8862ed0618dea1b8010137716bb0ea84

Observation 40118b95-4e32-4344-9f6c-167f35ad14ea · outbound

This paper cites Panayides, Amir Amini, Nenad D.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Panayides, Amir Amini, Nenad D

Reference 35

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source=arxiv_source observed=2026-08-11T21:10:16.731560Z digest=sha256:bf69cd48d4eb6afba46dce64d5b365aad08196e4a2993d8f7e957ed1294ec1ed

Observation e8962cfa-47b8-4e8a-8c1c-54b0077e96f0 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-11T21:10:16.736734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.736734Z digest=sha256:ab56885f999692d401135a0ec74ec0ff3ef57d27bfec0325279bf1a80a7db2bd

Observation 36984e36-74c1-428c-aff7-14a75b431051 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 37

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unresolved
no resolver link, observed 2026-08-11T21:10:16.742086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.742086Z digest=sha256:ba2beb648f31a81ae11d62e87918e75c7f9a43fee30ebc2e4960c5382e10b143

Observation 871c0a19-4ef8-429e-9251-b230dc01a04f · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Learning Transferable Visual Models From Natural Language Supervision

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.747434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.747434Z digest=sha256:04199ea6166f79799e359501c10fdf615d9d7464b7b2791868972e14ccdd0980

Observation 413c1bf3-a084-43ee-bb64-5c97e68cf1f3 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.752134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.752134Z digest=sha256:ada36e9fca5a720c33cb2eb077be7a776f00f77dda0db3e2b9943fe75ca2ba79

Observation 5ad2e27c-a16f-4ad1-a8be-b901b26b06bc · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-11T21:10:16.973386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.758054Z digest=sha256:68561e69e46cb0f1028da36a036d5e864132e8a65ad7b63615bc7d0d805c38e7

Observation 6febcb7c-a642-4aa1-8ff6-e46b15dc8e58 · outbound

This paper cites CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.890494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.890494Z digest=sha256:e49f23733291bcf33bb3dad51833aed8a665323c5d9108d550e6adc0f590dcad

Observation 5b61c4d1-2c06-451c-a4fa-79858276a3d5 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.894964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.894964Z digest=sha256:267d9c7ba578e4f04b76581ee4b42a5e9c202c8becfb01808e5c6fe6e4b57ce2

Observation b36af62c-31df-425c-900a-89302b5f6789 · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:10:18.080439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.899219Z digest=sha256:cd66cccc25f9f71eb963850776ba52efa8696347a349c9917c0326e14a0fdda9

Observation cbbfbf8c-322e-4fe8-843f-dab9a14897fd · outbound

This paper cites Towards Generalist Biomedical AI.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Towards Generalist Biomedical AI

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.902522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.902522Z digest=sha256:193fe215e7b8eeba3b4caf8df6c414bbd3e0244958019c73ff19155d2751940e

Observation fbc443ef-b1cd-40d8-aa22-9ec700f3ffa9 · outbound

This paper cites Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis Langlotz, and Jean-Benoit Delbrouck.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis Langlotz, and Jean-Benoit Delbrouck

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:10:18.066503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.908152Z digest=sha256:fc63cf30e4e66a4fb5f96570b784a376091d173e348790aa7815c7dfdb8aaa1b

Observation 5d24e93a-22d1-492f-ad1c-02dcb8462b72 · outbound

This paper cites ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.913084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.913084Z digest=sha256:b79737a48d15d24f8419fed642a63a4760487fd18852534c822e3bbffb8d992d

Observation 008ead16-2e0e-41fa-99a2-1343ddc50564 · outbound

This paper cites Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T21:10:17.180927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.918028Z digest=sha256:de1a24b193c0e564d487da63fc28ba2eec064918a32b6079b45cc2ef4e87b57c

Observation 1ac9c432-a43b-471b-b035-0fc788e6136d · outbound

This paper cites an unresolved cited work.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation Unresolved cited work

Reference 48

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unresolved
no resolver link, observed 2026-08-11T21:10:16.923987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.923987Z digest=sha256:7e50d5a05f93ed41708ade67edf54f5f2d45efa62aa5fad31c62bbad00f256b7

Observation 14060858-210b-491e-adf3-5ff2247304fe · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation BERTScore: Evaluating Text Generation with BERT

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.928483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.928483Z digest=sha256:f0defede8ad82f14188d0a0600ebf37d6535543ecd762456dfd5110052df9cdc

Observation e26b3548-5599-4e2b-b792-9f85db2b776a · outbound

This paper cites online" 'onlinestring :=.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation online" 'onlinestring :=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.932861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.932861Z digest=sha256:bc407e5cf08cdc5cb7a1708673985850b2a5c53eb61f8c7d0a6b9784c7c9fe20

Observation b14f71a7-071c-49ac-ae65-7d0be398fd97 · outbound

This paper cites write newline.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation write newline

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:16.937315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.937315Z digest=sha256:d6149f83f98325eade4f1bec0ea6972357081901d86d59a29479e0a1fa6bb671

Pith citing papers

No inbound Pith citation observations are available.