Pith. sign in

Paper Citation Record · LEDGER

Large Language Model with Region-guided Referring and Grounding for CT Report Generation

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:2411.15539.

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

pith.paper-citation-record.v1
2411.15539 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:15:56.264366Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:57.647858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:45.682574Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf3452c6-467c-402e-b726-cdada9418fda · outbound

This paper cites Modern diagnostic imaging technique applications and risk factors in the medical field: a review,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Modern diagnostic imaging technique applications and risk factors in the medical field: a review,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.418989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:55.944602Z digest=sha256:c3770f8365df639ce2c3ed5615f12390451d65fd667319e7915c17e40bb34fde

Observation e00f8e19-4f42-4e43-8593-75ba6e0277ec · outbound

This paper cites Evidence-based guideline for the written radiology report: Methods, recommendations and implementation challenges,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Evidence-based guideline for the written radiology report: Methods, recommendations and implementation challenges,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.401100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:55.951629Z digest=sha256:8e8358438a21dd375d356592df8cb126e003d6b72e188c7969e547618c2e8766

Observation 6ef26eb3-5dd0-4322-a890-eb59503df1f0 · outbound

This paper cites CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:55.958434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:55.958434Z digest=sha256:ca66274b69177ecd26f42a850612ed96b5a8e2577e639011c5f16c69caa030db

Observation dd6c2285-b46f-4e12-b098-40c000d1aa55 · outbound

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

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:55.965969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:55.965969Z digest=sha256:7f297b3a68e109c2ba282043e784779a69d99c26cdf01d7c95638bc5146d3fde

Observation 0df6d565-e58a-4be5-a0b9-3d01336fa0a3 · outbound

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

Large Language Model with Region-guided Referring and Grounding for CT Report Generation M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:55.972678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:55.972678Z digest=sha256:6da2d2323d9561888586118a410758b0ce03c5b158792696933a321564ab2aa8

Observation 19aaa450-f0dd-4521-9c0e-21c8996146c0 · outbound

This paper cites Large-Vocabulary Segmentation for Medical Images with Text Prompts.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:55.978917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:55.978917Z digest=sha256:e55df0bab0bf1f0c1ab61b8953f95f81bbedf48162e8bc8138abf9488e073063

Observation 201d1e75-75e8-4efb-bb9d-e2e9c36855a5 · outbound

This paper cites Segment anything in medical images,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Segment anything in medical images,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:55.986545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:55.986545Z digest=sha256:55e65831af7ca91e5859df09923f89905b3dbfdeaa4985960b5aff7bedc75fe0

Observation b0b2634e-d3d4-438e-9394-492cbc697218 · outbound

This paper cites Segment anything in medical images with nnunet,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Segment anything in medical images with nnunet,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.365720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:55.992676Z digest=sha256:fbe1f65b882dd12ab6985856b90cbefe77f28d036c98668cb1bfd28e683dbeb4

Observation 79f17459-4718-42bc-b4f8-ed1a6815bb7e · outbound

This paper cites Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:55.999189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:55.999189Z digest=sha256:07b8a0e7b9b9152962ee337932d0b14bfe6ea675d2b26ed3a6c826ee6a90f34e

Observation 34a3f4ee-7d28-4e58-85c2-3bdfcaf96acc · outbound

This paper cites An organ-aware diagnosis framework for radiology report generation,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation An organ-aware diagnosis framework for radiology report generation,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.006082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.006082Z digest=sha256:bb975027072a78e393948c17cf6c1ff272e7026943031034b3ae25ce863f8849

Observation 5c1769ba-6e71-4cb8-8228-c3c218338590 · outbound

This paper cites Generating Radiology Reports via Memory-driven Transformer.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.011861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.011861Z digest=sha256:e718cc90b515df3a04a212ed1de3f786b5bdb6b73784107f723cda69e4185f2a

Observation dbbf14a3-323c-4d55-8dd2-933a31f2d8de · outbound

This paper cites Cross-modal Memory Networks for Radiology Report Generation.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.019084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.019084Z digest=sha256:254efd17ebe8dc98bcba461724de9e51bb35b33c9b36e9be9cb5c8d199826aaf

Observation fc0a985f-3c0e-4ccd-bf82-400b6c026da7 · outbound

This paper cites Promptmrg: Diagnosis-driven prompts for medical report generation,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Promptmrg: Diagnosis-driven prompts for medical report generation,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.025129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.025129Z digest=sha256:ef9b03295707cb5dff9bc7af817b574c5ea021732922deaea27da9a5d0d7c6b0

Observation 0d7f1e66-c4fd-4464-8283-b8d39745fa76 · outbound

This paper cites Interactive and ex- plainable region-guided radiology report generation,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Interactive and ex- plainable region-guided radiology report generation,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.030901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.030901Z digest=sha256:1fbd8a4ba053b76d2fffca4a004c7db3f517978ef2a3cb1a0f420726483ef10a

Observation c880977f-1b39-4631-8ac8-1a471ae04fab · outbound

This paper cites A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero-shot detection of abnormalities,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero-shot detection of abnormalities,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.036661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.036661Z digest=sha256:c6d0057a32442039319469d3a0be40021a8286baafec225a78c109f6840312b9

Observation 5e7baea6-2967-4901-8839-7174917ef8df · outbound

This paper cites RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.042491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.042491Z digest=sha256:c96a3c3675f91a54f5bf553c2b63e2f972075ac0dad0c4c54a86a1e0254da547

Observation f71fa6d0-8933-44d9-854a-3056b35fb0bd · outbound

This paper cites Work like a doctor: Unifying scan localizer and dynamic generator for automated computed tomography report generation,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Work like a doctor: Unifying scan localizer and dynamic generator for automated computed tomography report generation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.299066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.049967Z digest=sha256:0756ff74571621792896a66c892213d3baf6c25f46473bd797811f21af384472

Observation 87107600-01c7-49f6-81a7-f203b21765d6 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.055645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.055645Z digest=sha256:085cdca4c7cd8054a89fbaa03e2a8153f5794cad340639bc8a9593d385bbed18

Observation fe732540-4d5d-4978-bd05-576c9f42d315 · outbound

This paper cites Visual instruction tuning,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Visual instruction tuning,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.061224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.061224Z digest=sha256:bb00dd722a52b1280d6e19b4ee968e57498258bd6aae20406fb148b963ec48b0

Observation 7334dfdb-590d-4228-92f9-4b68b403c077 · outbound

This paper cites Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.067421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.067421Z digest=sha256:51ea6f9776ec8408cb4c925a15a4ab972a631a7d039cbe46adb4a224e656aba1

Observation 54f2196e-6be6-4739-8f45-98db736b1692 · outbound

This paper cites Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:15:56.720754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.073813Z digest=sha256:3453f5523d4c1fe9bfe3d3cb7b10c9e0f463e847826305efc16b8cb490f6f253

Observation f4cafbd9-1313-432d-97b7-2133d001fb8a · outbound

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

Large Language Model with Region-guided Referring and Grounding for CT Report Generation PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.081003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.081003Z digest=sha256:017111ea243319405e7ef356499963afad5328ecea6531cc70bc0b025bf9f12c

Observation 66e57554-500b-49f1-9998-7a2c3c9ee27f · outbound

This paper cites Visionllm: Large language model is also an open-ended decoder for vision-centric tasks,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Visionllm: Large language model is also an open-ended decoder for vision-centric tasks,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.249886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.088640Z digest=sha256:ca74914971cf18467ada38f18e46a897337b3a95c631f356612372402740a7cc

Observation d787dec4-6698-4d89-94ac-da3aabcb5462 · outbound

This paper cites GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.098735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.098735Z digest=sha256:c759c8330744bbe869dd03b5cc577b458219a7bbd2e2c55683d9cdbad63ddfd5

Observation 5a35541d-7616-41c2-a747-709665f57371 · outbound

This paper cites Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.107804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.107804Z digest=sha256:874b7f7d87f618fef5050f94445c2664589dbea9f3e2472311d47ec8a7bfbcae

Observation da17b926-fd8f-4b9c-b92b-f30d697639cc · outbound

This paper cites Regiongpt: Towards region understanding vision language model,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Regiongpt: Towards region understanding vision language model,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.230272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.115020Z digest=sha256:b10dc6fd68f30e978fd50e313d613752b6ef0842c14e39f4987d07821837499f

Observation 6d34fac4-def0-4d94-9bf4-6eb9aac04193 · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.123030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.123030Z digest=sha256:58fe984afefbb19b0a9f0c4393e0a125ab1e1fe572ca88d09bb6e9d593115b38

Observation 132f9efe-f95d-47ed-9cac-5911e8fb13af · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation MAIRA-2: Grounded Radiology Report Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.130915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.130915Z digest=sha256:e79bbd0f6be97153e60b1ea2c7a3d461536925ec824c4e75461f4fa0f9f15309

Observation b464aa1d-99e2-44c1-b3ab-218fe92a39b8 · outbound

This paper cites MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.139515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.139515Z digest=sha256:60ac28bfb8e3eeeac7c4cb83c82d2351c0097ac3b87fcc76fdd82d1c7f978c5c

Observation 5cfc4aef-3bb8-4fb9-9ad0-21aaf2e1f71c · outbound

This paper cites A refer-and-ground multimodal large language model for biomedicine,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation A refer-and-ground multimodal large language model for biomedicine,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.209494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.146355Z digest=sha256:e287bc7ad3e8275b6d21a0e360fe966258adb22c3b2f8f61d3419ef780f8f70a

Observation d71774b6-8e9d-4ee1-ad98-3b25feaa786d · outbound

This paper cites Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.152121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.152121Z digest=sha256:cc459fdc8005d9617836ac33050005a2667844725a3e4bdba06e3dac77c75eac

Observation c1b82bbc-e28b-4349-88de-db29b70c5d42 · outbound

This paper cites GPT-4 Technical Report.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation GPT-4 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.158478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.158478Z digest=sha256:b09b605f81707116bf1079f908b96a087db9b38f85b10fd088bd2bd35090dd91

Observation 2d0ddd65-79fa-435f-9581-babf6922d848 · outbound

This paper cites Qwen2 Technical Report.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Qwen2 Technical Report

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.165039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.165039Z digest=sha256:3e40cd567556bc024993b55e3aa9b99d6ae36631c48026ed694eadbafb1d4548

Observation f5726543-7dad-4889-896c-b2108d341426 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Bleu: a method for automatic evaluation of machine translation,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.170952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.170952Z digest=sha256:a36d6d0fb688d07d13c45472b0d211be713f89004323d52de047fa29680b7813

Observation e832d84b-4017-4986-b94e-e444e78e923b · outbound

This paper cites Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.178048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.178048Z digest=sha256:a2b9ce57e955daaf54fcb24b9a614a385a725517250daaae55aaffaf8617fbb5

Observation 617f5043-650e-4d2a-99bf-666313093495 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Rouge: A package for automatic evaluation of summaries,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.184977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.184977Z digest=sha256:3a0e3f9e08d394a3253c0b675beca1be7a1ff634cf4f0cf6e0b3fd2a7656a89e

Observation 33e28817-1eb2-4d22-b445-bdf8c8d5c21d · outbound

This paper cites Radbert: adapting transformer-based language models to radiology,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Radbert: adapting transformer-based language models to radiology,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.145668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.191847Z digest=sha256:78b83089105b21ef290dcf685e8fe674723d96de835ca692fbc3bf10e926ae2d

Observation db817e50-cb43-46cb-973a-b27bf2579a32 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.199505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.199505Z digest=sha256:fa3cda2ecba1f4afb661b404356056d9909877c7799fc75901aa6620a25c3f32

Observation e867df2c-f985-4d6e-88d9-bed382d5d626 · outbound

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

Large Language Model with Region-guided Referring and Grounding for CT Report Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.207096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.207096Z digest=sha256:a4c6710b0961932b3eac061e5926231c571c291358f5e3aad0f77028de9368bd

Observation c92e59e6-a059-4e0f-9265-fbae0df5776f · outbound

This paper cites Decoupled Weight Decay Regularization.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Decoupled Weight Decay Regularization

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.212611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.212611Z digest=sha256:d0ee416444033111f0ee7869487c7ca8668a09956d73c8f1225a2084c0b85f10

Observation 9d5a36a3-f976-49c2-b793-d58aad03d8c7 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Zero: Memory optimizations toward training trillion parameter models,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.118162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.221190Z digest=sha256:4bf0367f8cd08009493b2a99e9fb1e11a2ab91f1ca2fbc76370265479b9d54c1

Observation 74ed07b1-9a6d-49f0-983c-905513a43af2 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Training Deep Nets with Sublinear Memory Cost

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.229698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.229698Z digest=sha256:fbc115facb3813534ce201343293a9d98d917e6bfb5a9e3f9c2f208f758d450a

Observation 9e221bc9-63c9-42ea-8179-5f263c19e242 · outbound

This paper cites R2gengpt: Radiology report generation with frozen llms,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation R2gengpt: Radiology report generation with frozen llms,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.238951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.238951Z digest=sha256:26e6c40b2d2a33a313dda01cfbdf5f50624116e2bf5a4f5ea6908620e041e80d

Observation 9821e1db-8ed7-4185-98f5-79dd0524068f · outbound

This paper cites Language models are unsupervised multitask learners,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Language models are unsupervised multitask learners,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.246170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.246170Z digest=sha256:1963529def380c7eff2b43eb616a01cd895ef287a9325314a7d0899cf0afef90

Observation d8c494a3-55e6-432e-9aad-3e4bf02b2f0e · outbound

This paper cites Improving chest x-ray report generation by leveraging warm starting,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Improving chest x-ray report generation by leveraging warm starting,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.257124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.257124Z digest=sha256:58687b871f41830b8b70173840c879b3ad353a1a2eeab9127ddba61a95bd68ba

Observation 54d42a38-32de-41f3-9b5d-16dee7ec5237 · outbound

This paper cites Automated radiology report generation using conditioned transformers,.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Automated radiology report generation using conditioned transformers,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:15:57.047780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:15:56.264366Z digest=sha256:3f06e10dbf22143028f49a3405e73f750ef897086d18435baf0edf3ab5fab61a

Pith citing papers

Observation 5c6972a8-3470-4d19-9ab5-f9de6c13b499 · inbound

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning cites this paper.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Large Language Model with Region-guided Referring and Grounding for CT Report Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:57.647858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:57.647858Z digest=sha256:b64df3ce2366ce40a08366e43cbdc55f81a125e53341de1aaf7f40bbe108bc4f

Observation fba9af17-da52-4376-91f6-aa69db886c82 · inbound

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation cites this paper.

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation Large Language Model with Region-guided Referring and Grounding for CT Report Generation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:48.704878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:48.704878Z digest=sha256:363b2a5042d347b442b47556f98614739928068e60c2ad04de7713859fb37f35

Observation 352f70c7-9724-4b30-9e1a-66c7dfcfa8d9 · inbound

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

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors Large Language Model with Region-guided Referring and Grounding for CT Report Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:08:45.684574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T03:21:31.374575Z digest=sha256:370c19e55fe38a1b46c3a696442433b4c8925ae930ae63c4bb730b4331584e47