Paper Citation Record · LEDGER

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.13655.

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

pith.paper-citation-record.v1
2507.13655 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:23:34.971296Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy17
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52d11bf4-a80c-43e3-9961-3030335684b5 · outbound

This paper cites Introducing claude: An ai assistant built with safety and reliability.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Introducing claude: An ai assistant built with safety and reliability

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.612774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2eb328a-8eb0-4b08-b4ab-982a70d68bf5 · outbound

This paper cites Patient subtyping via time-aware lstm networks.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Patient subtyping via time-aware lstm networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.418716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb4538d1-82bc-41d9-9e2e-e5ffc733a765 · outbound

This paper cites MWAX: A New Correlator for the Murchison Widefield Array.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer MWAX: A New Correlator for the Murchison Widefield Array

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.761707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd82828b-012f-44b5-b1c9-70b62c58345e · outbound

This paper cites Language models are few-shot learners.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Language models are few-shot learners

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.295138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1c351a8-cf8a-4023-946b-2751f5d02f1f · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer PaLM: Scaling Language Modeling with Pathways

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.963804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb0b185-acf4-416b-acdb-5325c63ab0ec · outbound

This paper cites Scaling instruction-finetuned language models.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Scaling instruction-finetuned language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.072953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b5aea3b-3158-4a54-8910-4ef7a73ea7b4 · outbound

This paper cites Domain-specific language model pretraining for biomedical natural language processing.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Domain-specific language model pretraining for biomedical natural language processing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.883090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3369049-9a13-4ce0-991d-a994dff17620 · outbound

This paper cites Parameter-efficient transfer learning with adaptive attention.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Parameter-efficient transfer learning with adaptive attention

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.670987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d18e75c3-915b-4849-8c60-2ae6488c81f2 · outbound

This paper cites Multitask learning and benchmarking with clinical time series data.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Multitask learning and benchmarking with clinical time series data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.415831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a41cc5da-314f-4e0c-9186-110327a113be · outbound

This paper cites Lora: Low-rank adaptation of large language models.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Lora: Low-rank adaptation of large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.133819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a18d500-4a0f-4e6b-9b02-329334bdc41a · outbound

This paper cites Clinicalbert: Modeling clinical notes and predicting hospital readmission.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Clinicalbert: Modeling clinical notes and predicting hospital readmission

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.869592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70a5aa5a-5bdd-4774-a4da-bcb3f0eb7cb0 · outbound

This paper cites An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T16:23:35.349897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bdce2dec-9f5c-4475-b037-01c3c3a2bb88 · outbound

This paper cites Biobert: a pre-trained biomedical language representation model for biomedical text mining.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Biobert: a pre-trained biomedical language representation model for biomedical text mining

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.656127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 912e8156-3b04-4b10-bee7-d6b53bf93e73 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.726857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c65180-c3eb-4881-86f4-6500d9781ced · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.783142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a5cec3-947e-48e2-9d1a-672e2ba4aa83 · outbound

This paper cites nbertscore: Evaluating clinical note generation with semantic and clinical similarity.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer nbertscore: Evaluating clinical note generation with semantic and clinical similarity

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.470826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 855109cd-8d4e-4b1d-9218-25228edbe8f4 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.904262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1688e16-32aa-49ec-87b3-af40e9184e31 · outbound

This paper cites An interpretable machine learning model for accurate prediction of sepsis in the icu.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer An interpretable machine learning model for accurate prediction of sepsis in the icu

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.349110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ffdd692-f5ab-4615-bc70-9f2ebab43c81 · outbound

This paper cites GPT-4 Technical Report.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer GPT-4 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:34.104281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e36079a-fb16-45cb-b742-2acd30678134 · outbound

This paper cites Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T16:23:35.134733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59ef9a18-ab61-4626-ab9a-6e557afa2618 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:34.400474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83abf597-b431-489b-a135-bc56e7c37fbd · outbound

This paper cites Scalable and accurate deep learning with electronic health records.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Scalable and accurate deep learning with electronic health records

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.178698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28173b5b-a143-4751-813e-58bd355da094 · outbound

This paper cites Introducing gemini: Google’s next-generation ai model.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Introducing gemini: Google’s next-generation ai model

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.004468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 761746d3-5839-4e14-8452-8fa8d77543c5 · outbound

This paper cites Large language models encode clinical knowledge.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Large language models encode clinical knowledge

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.773223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acae24e0-f36e-4b9c-bf59-4d1e49149190 · outbound

This paper cites Adalora: Adaptive low-rank adaptation for efficient fine-tuning of large language models.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Adalora: Adaptive low-rank adaptation for efficient fine-tuning of large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.642544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b11b934-2ad1-4d1c-a0c3-c760fd1086c2 · outbound

This paper cites Transform- ers: State-of-the-art natural language processing.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer Transform- ers: State-of-the-art natural language processing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.507410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee6754aa-73eb-4636-b2a7-cb046b0668e8 · outbound

This paper cites NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:34.971296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.