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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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:b4019753eb7e9dd98299449a766c74e00c4e4856513708effc034b09bf0617e0

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:a4cee4d58959e2ac429f8deb6b6384e8889bf74023ccd1f981b2e685625941e7

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:e1a5e4ad81ddf3c5a6807a4120e4803541e5435c2249b7fc8d97784a384c51a8

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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no resolver link, observed 2026-08-11T21:10:16.549350Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T21:10:16.549350Z digest=sha256:e8ae8fd9f6027eefd1e75c25ef6882491c108820362e90de32a05cec37eebd1c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.555642Z digest=sha256:f1fba1ceeb896f7ad4dee42b764b3b2a3e7c2353c68f8867aa025b89cad122e1

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=arxiv_source observed=2026-08-11T21:10:16.561939Z digest=sha256:2ba2186ac22049790410f57a91161342bcc21618cf10c2de74cc8dab02b4134a

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=sha256:03305641ea711ac5ee2d050c77cd9571442f0c4849f1fc3201b4aa2ac14695eb

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-reported events for the cited work

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source=arxiv_source observed=2026-08-11T21:10:16.573050Z digest=sha256:0d87639749430f63c135a433ef60f1ef2369b87183e7306139d7e980b553ad56

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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source=arxiv_source observed=2026-08-11T21:10:16.578316Z digest=sha256:fffc87f0ef088066a313a0cd68eb47ea6b5322b585cfba31c270d8ebcf0fc975

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=sha256:771e64d094f3d02ff338f0cd65349fdd67aad3024a9451d53340d1dc04fd97c5

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:c229ae77169afe93c81fff7af4ded7f02d0d3fc87686ca6e661c58ae16ee74d8

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 2026-08-14T06:32:32.682623+00:00.

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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=sha256:0825240061f7ae7625693af14d60fdc992cc72377705a1fa1b8f740722d1c6bc

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:e341bbbb0eaf58dfb5fd6aaa6bc3dd76d23d96d39d99dfea4785dedb2c1e7c97

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.611786Z digest=sha256:12d8c3bdacea741c1e3e35ae74e69b384ec5e8fb0c61b7c9e22c988706703ed2

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:aac79ba79be8d9c4798c72245b48938574b65feaf902349e7cf1d3696913722d

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=arxiv_source observed=2026-08-11T21:10:16.621479Z digest=sha256:da4ece8ebdd70d58b39a0052d3ccac54e70267071a8ecd2f9433193fa7e5afad

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:a3fac9e7f75249bbbb7cc4f26c9f49640b3fe12293f4588af64bd36d50d91c6a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.631837Z digest=sha256:7fc739ca926a8e71b622f58df1a420871f2574fbeccd0edd74bbf7a18aa08b84

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=sha256:3f5a15496854fb662fb435dbab4de5ba81dd77b7075eeffa3b55d7c5b4e353c3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.642872Z digest=sha256:b60caab411923e74dc60f7828bcd81a652305d64e19f11b5b89d98be1bcc6e2d

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=sha256:258008b1e87c99944af9e51229203d6d7a9385377b2bd8a71f51c883b4fe21f4

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=sha256:1fc9d7136cf2d2632251510d6c34c2a4a62a443b440fff1480aa86d4b06a5dc3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.658503Z digest=sha256:dcffc1ec60a19c51014ee103271b99c4cfd850c79b9067497c0fdd132fc624ef

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:b74f711a8a58fb92e440d01141e873007e4439b7b0af7bde1bdcd2e7f25f8d83

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=sha256:86ebc819ee0e64ee4cc583ff849007dac8a504cc7b93dfc9ee3e8197ed422c16

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=sha256:3a71bd7e4ca842c30e2c2b894ba52762cb4b3e265ba893e5f8e3de857207d210

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=sha256:40bde0d003383f703b24c1ebace70e8ba122daf07f159e96d09a1c9f5c18a1bb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.690834Z digest=sha256:c39afa43f30507344c75922da611f85bb71b384395026df7c6cad2fa77d8ec38

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:dcc1f419c8bc76bb902c0574b9eee4d064768e9cc547b645ab13ae2fc80bcfd1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.702665Z digest=sha256:231658acf1a05b265d68c6d3becee6c9d16f25050c6d27194b63c5f050e04226

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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no resolver link, observed 2026-08-11T21:10:16.714881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.714881Z digest=sha256:7cf5e15efef1031f266129bca0872c9f27a26ff1ae5587c000da4556eb4dcd51

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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no resolver link, observed 2026-08-11T21:10:16.720981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:10:16.720981Z digest=sha256:29b38105e8555fb2a2cd68990c94b376b0d8324b2452bf21ff1cecad66e3b776

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=sha256:24d03ff1676ba71655f6e3aa144ab9f7cfa0354a5db55bfe7cd8de315a850f8d

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=sha256:616e3a03f99a57198d89db3296b59b505dace5e1a83efbd5cafd1d185a328057

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:e757d6439d338d7dcf39e27f9906135c90a034dbf12fa7b12432b198ec7669ee

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=sha256:9d283e100a11cd8aa3b1f10cea3f56b379089e4e5828310397f6c0bfe7c3b319

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=sha256:73846e683210b76b62e3ddc6ae11b81c0be35a64d43da0e3d14be34e1ea57476

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=sha256:5c75b9d615e70c69e0658cb5c21bce15cbf550759f2b1374e4b4fe42a8194fa4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.758054Z digest=sha256:d48acfffe7b7b97031593fdca034bdb7cfe5ae8cfc91121dbc6807fc0d416359

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:e8b56c721b70ad3bca7b3bd946cda663807ba61e7dd71b0f708503bf639e06cb

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:ac3a47f466e1888765357a6289c9f5fca29f398bcc3acc394fe9e14b669aa70c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.899219Z digest=sha256:d75c5efb726143168cac1128c3f88a176cf1be978cd7b233ae56e7207b9df5bc

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:a88616faec2080d0a92942fdd5d1b102a75237b53a30aebc57db29919f857ac2

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.908152Z digest=sha256:1ead695e1953e88ed8e80abec7191c71be2b9526ddc630cac1fb71735bbd7669

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=sha256:70f8cd81cc700dfc942f8f2fec890aa3305be88de52c2bb90a5d9efc929590fd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:10:16.918028Z digest=sha256:575f18b29956012f10004fab59327147951029c02be0fee54eb6bcd2d2a52b2a

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=sha256:5ca0f7b82d305337c11bf2091c8696bbebf7497201d88880d54d4c4887f90044

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=sha256:4097e86b8500fec69ca69cff4738f1853bce80a6a845a30dc33c4617087d04dd

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=sha256:2f861fa9e11f0bd5ef03a1caa06214c622430f8d6a5c0954977fd4228da313e4

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

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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=sha256:2bdb3041ae9adb8b62e11f876f0e71a347fe32b907675598844d8379cd1b4a8c

Pith citing papers

No inbound Pith citation observations are available.