Paper Citation Record · LEDGER

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2603.19275.

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

pith.paper-citation-record.v1
2603.19275 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T18:20:18.288656Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7e750a7-3e13-457c-a697-db9e95391e55 · outbound

This paper cites pre-training, fine-tuning.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models pre-training, fine-tuning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.528522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16027311-c86e-49e2-a728-78e2bd72c078 · outbound

This paper cites Recent advances in Natural Language Processing via large pre-trained language models: A survey.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Recent advances in Natural Language Processing via large pre-trained language models: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.532665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5166cf6-87f1-44cc-bf48-8f4e0e347b47 · outbound

This paper cites Document sublanguage clustering to detect medical specialty in cross-institutional clinical texts.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Document sublanguage clustering to detect medical specialty in cross-institutional clinical texts

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.536612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73982ec9-9424-4221-87cb-0fa19213be1c · outbound

This paper cites No title.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models No title

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.521829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b30a2df-63d1-45b9-8eca-1c210c87d59c · outbound

This paper cites ROUGE: A Package for Automatic Evaluation of Summaries.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models ROUGE: A Package for Automatic Evaluation of Summaries

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.513495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cfde9c40-5cbb-4b41-b9cd-d3f2efd75864 · outbound

This paper cites RadGraph: Extracting clinical entities and relations from radiology reports.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models RadGraph: Extracting clinical entities and relations from radiology reports

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.517537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e6ecc23-1b9a-45d8-92ff-2ccfc3a98a41 · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.506149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d545576b-9ca4-4d00-8870-f4541a3bc422 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.510055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66526ce6-33d7-4c81-a53d-e3cc84cfd72b · outbound

This paper cites Overview of the MEDIQA 2021 shared task on summarization in the medical domain.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Overview of the MEDIQA 2021 shared task on summarization in the medical domain

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.549290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f786913-8380-48c7-9e6b-cff37216c4f0 · outbound

This paper cites SciFive: a text-to-text transformer model for biomedical literature.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models SciFive: a text-to-text transformer model for biomedical literature

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.562048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cd15d07-17fe-4fc4-95bc-8ddca2a7ce59 · outbound

This paper cites Mid-training of large language models: A survey.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Mid-training of large language models: A survey

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.553445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf2b3097-0fe4-4adf-8d69-0f9691e519a5 · outbound

This paper cites No title.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models No title

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.557260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81f77e04-0c63-4025-a35f-c78d4640ea04 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models BERTScore: Evaluating Text Generation with BERT

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.540626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 263b3890-ede4-4a27-a5b9-9e3be2449cb7 · outbound

This paper cites Revisiting scaling laws for language models: The role of data quality and training strategies.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Revisiting scaling laws for language models: The role of data quality and training strategies

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.566023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d2bfd8a-f82c-48f9-8780-15c036377a4f · outbound

This paper cites Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction.

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:21:27.545046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.