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Paper Citation Record · LEDGER

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model

As of 15 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2505.22116.

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

pith.paper-citation-record.v1
2505.22116 v3

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:19:14.630621Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

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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

64 of 64 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 200ece7a-1423-41e9-8d70-c14c9854de05 · outbound

This paper cites Intraoperative hypotension: Pathophysiology, clinical relevance, and therapeutic approaches.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Intraoperative hypotension: Pathophysiology, clinical relevance, and therapeutic approaches

Reference 1

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Observation 5f7f20e0-f3af-4f72-a172-92c27cbe4586 · outbound

This paper cites Association of intraoperative hypotension and severe postoperative complications during non-cardiac surgery in adult patients: A systematic review and meta- analysis.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Association of intraoperative hypotension and severe postoperative complications during non-cardiac surgery in adult patients: A systematic review and meta- analysis

Reference 2

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Source-reported events for the cited work

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Observation ab96d8fe-ac3b-48bc-a499-3bef738ce745 · outbound

This paper cites Association between intraoperative hypotension and myocardial injury after vascular surgery.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Association between intraoperative hypotension and myocardial injury after vascular surgery

Reference 3

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Source-reported events for the cited work

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Observation 6f7bbbcb-0984-47d2-9d8e-bd3ed9d59640 · outbound

This paper cites Association of intraoperative hypotension with postoperative morbid- ity and mortality: systematic review and meta-analysis.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Association of intraoperative hypotension with postoperative morbid- ity and mortality: systematic review and meta-analysis

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5f65fbbe-a1dd-4679-ad44-4601abea40e4 · outbound

This paper cites Intraoperative hypoten- sion and the risk of postoperative adverse outcomes: a systematic review.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Intraoperative hypoten- sion and the risk of postoperative adverse outcomes: a systematic review

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e22759a9-1f73-4e04-9748-8c530f69499b · outbound

This paper cites Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a87b93db-507f-4403-a555-42649a859129 · outbound

This paper cites Deep learning models for the prediction of intraoperative hypotension.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Deep learning models for the prediction of intraoperative hypotension

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3c66e0f2-364c-4208-a915-3b168bf8547a · outbound

This paper cites Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b5252f3f-0301-46c5-b004-ab1f3fc27dc7 · outbound

This paper cites An algorithm based on deep learning for predicting in-hospital cardiac arrest.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model An algorithm based on deep learning for predicting in-hospital cardiac arrest

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5f9bc700-7e8c-4689-b896-6f572d5c72e7 · outbound

This paper cites Prediction of blood pressure after induction of anesthesia using deep learning: A feasibility study.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Prediction of blood pressure after induction of anesthesia using deep learning: A feasibility study

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6763452a-9c3e-4906-94ae-f8be727cda6c · outbound

This paper cites Hmf: A hybrid multi-factor framework for dynamic intraoperative hypotension prediction.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Hmf: A hybrid multi-factor framework for dynamic intraoperative hypotension prediction

Reference 12

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c4b51971-9da3-448f-a761-4178b5e2b2e0 · outbound

This paper cites A composite multi-attention framework for intraoperative hypotension early warning.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model A composite multi-attention framework for intraoperative hypotension early warning

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 275952d9-738d-47f3-9191-68238dc2dc6e · outbound

This paper cites Long short-term memory.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Long short-term memory

Reference 14

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Source-reported events for the cited work

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Observation ded82548-0c2b-4ad2-8812-ad06087428fd · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ccad7537-18a2-45ed-b811-0735f995bc44 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10d06b1d-cee6-478b-8056-31629dd5791c · outbound

This paper cites TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e2a05aac-225a-4991-a379-e10801d0c18f · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence , volume 37, pages 11121–11128, 2023.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Are transformers effective for time series forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence , volume 37, pages 11121–11128, 2023

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 58a7aaf8-ac9f-4895-ab27-00a3eb13b8b6 · outbound

This paper cites Diffusion-TS: Interpretable Diffusion for General Time Series Generation.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 20

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no resolver link, observed 2026-08-07T13:19:09.702564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cd881c4d-c95e-4a46-9da0-cb51b8a9dc0a · outbound

This paper cites Effective Data Augmentation With Diffusion Models.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Effective Data Augmentation With Diffusion Models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6035777b-9608-4706-9b92-fb45206c035e · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model One fits all: Power general time series analysis by pretrained lm

Reference 23

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no resolver link, observed 2026-08-07T13:19:10.001957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e87d0110-74dc-4dd0-a8dd-0fd0ee9ccfe1 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c4b4d96-0b1b-4db5-bc9b-9bb24f9242be · outbound

This paper cites Perioperative hypotension: clinical impact, diagnosis, and therapeutic approaches.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Perioperative hypotension: clinical impact, diagnosis, and therapeutic approaches

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:20.605739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fb9ef130-5517-407a-a2ad-f25984f18246 · outbound

This paper cites Early intraoperative hypotension and its associated factors among surgical patients undergoing surgery under general anesthesia: An observational study.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Early intraoperative hypotension and its associated factors among surgical patients undergoing surgery under general anesthesia: An observational study

Reference 26

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raw_fallback, observed 2026-08-07T13:19:20.328182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d294443a-2b66-4f7c-b0f1-0b2f22c8167d · outbound

This paper cites Prediction of an acute hypotensive episode during an icu hospitalization with a super learner machine-learning algorithm.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Prediction of an acute hypotensive episode during an icu hospitalization with a super learner machine-learning algorithm

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:20.144697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 354970e1-a0e7-49e6-8fe5-526e0a6ef8c9 · outbound

This paper cites Supervised machine-learning predictive analytics for prediction of postinduction hypotension.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Supervised machine-learning predictive analytics for prediction of postinduction hypotension

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:19.889254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b1221246-ab04-48f4-ae2c-92ebc201fc04 · outbound

This paper cites Predicting hypotension by learning from multivariate mixed responses.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Predicting hypotension by learning from multivariate mixed responses

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:19.686888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 22d5d0d9-4a24-436a-a7a6-9da956b858f7 · outbound

This paper cites Intraoperative hypotension prediction based on features automatically generated within an interpretable deep learning model.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Intraoperative hypotension prediction based on features automatically generated within an interpretable deep learning model

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:19.433426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:10.747917Z digest=sha256:ef20d54ebb0b3057fb7d5c7c074b83da824afdc5f8c84a5bca363369cc9e5d68

Observation 2a6bd9c7-ce2c-462e-9d24-7d6671ad0b91 · outbound

This paper cites Frequency domain deep learning with non-invasive features for intraoperative hypotension prediction.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Frequency domain deep learning with non-invasive features for intraoperative hypotension prediction

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:19.250459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:10.801058Z digest=sha256:9cb4d80c84b7056ac486c74380baa772e0b9f05ee1b12bd0241847658a22e0e6

Observation 191dfc00-4228-48dd-8185-c796588800e4 · outbound

This paper cites A comprehensive survey of time series forecasting: Concepts, challenges, and future directions.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model A comprehensive survey of time series forecasting: Concepts, challenges, and future directions

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:19.051776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:10.881368Z digest=sha256:994460b36400532cca8c475a51701f9415a3d6ec93ce6130092c477e8fb638cb

Observation f183a5cb-fe8a-492c-8002-39289e463ee0 · outbound

This paper cites Ariyo, Adewumi O.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Ariyo, Adewumi O

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:18.846512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:10.980427Z digest=sha256:95b66e3cff15901fe1d00c1838757e29a66cb617d865078e44ae365eed31a5f7

Observation 356f4972-835c-4642-8874-9b23362b13f0 · outbound

This paper cites Convtimenet: A deep hierarchical fully convolutional model for multivariate time series analysis.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Convtimenet: A deep hierarchical fully convolutional model for multivariate time series analysis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:18.694825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:11.048353Z digest=sha256:570edfa6af019df6c388a992b943323385b9bee0d9ae1d519edb6f5e215cf5a9

Observation e976f33f-854d-4613-a8bc-78b6c79509df · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Gate-variants of gated recurrent unit (gru) neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:18.534847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:11.142343Z digest=sha256:ba2f214a8e656f809b3543d90c823a654edeeeed913869543ec805882940dd62

Observation 33377019-4a4d-4404-81aa-a0f59255b42e · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:11.243836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:11.243836Z digest=sha256:607aacf1afe31a17c4f92ec9a1c4813f5db074270fd0be8e1e77d560947a7f5e

Observation 2fba06b9-b6b5-480b-adbf-8eb0482a99fb · outbound

This paper cites Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting

Reference 37

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no resolver link, observed 2026-08-07T13:19:11.341222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:11.341222Z digest=sha256:426d964ec62baad86fb9e391957823ed9a928cfa5687370df7a7c35839f1f90e

Observation 45710390-8b49-4332-a4ba-e9a1b965f061 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:18.350736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:11.412640Z digest=sha256:8ae83069e669263a3bf460e03be6c86ceb13cc5253fa529d965d76441a2850db

Observation 414514f1-2d4c-4240-9ec4-803a5640de19 · outbound

This paper cites Formertime: Hi- erarchical multi-scale representations for multivariate time series classification.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Formertime: Hi- erarchical multi-scale representations for multivariate time series classification

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:18.228116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:11.578352Z digest=sha256:7f19824abfe05c8ae01ccc87c3adeb3e0fe95b7dfe5b5f194114a7e1564c2e67

Observation 98b5cde9-a2d2-4971-b692-aca72345c7c8 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 40

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no resolver link, observed 2026-08-07T13:19:11.671259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:11.671259Z digest=sha256:462c783547f0460fac942319797deafe6b3e65c31c62e959833fde69745aedec

Observation 6a26b7a8-4695-447d-a65b-cdf047bd973a · outbound

This paper cites Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:18.042926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:11.806224Z digest=sha256:bdaa9cc8e5caeefaedb97cad29bee3e6afa195162228fb8938d645d0ab613e4d

Observation 87b7d1c7-c874-4cf5-9b82-fed1d0d44082 · outbound

This paper cites Frequency-domain mlps are more effective learners in time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Frequency-domain mlps are more effective learners in time series forecasting

Reference 42

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unresolved
no resolver link, observed 2026-08-07T13:19:11.895753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:11.895753Z digest=sha256:09aebf910fc9e6d1ccad7ccb5ec629f4934b4a0a8f79184a63bd48b2210900a1

Observation 838db1c2-26d0-4611-811b-11929fbc688e · outbound

This paper cites Cyclenet: enhancing time series forecasting through modeling periodic patterns.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Cyclenet: enhancing time series forecasting through modeling periodic patterns

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:17.838042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:12.025009Z digest=sha256:c350a04cffa45a83f345f4e7a6b47cf4f11a2a9c08ae65d5adc1f9b6258e7ddc

Observation bb61df34-cc42-4a88-b330-e9fffe5d60bf · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Csdi: Conditional score-based diffusion models for probabilistic time series imputation

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:17.630663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:12.100585Z digest=sha256:6e8389f4c5e91e8c47e2cf07d248c2088efdd600045c9b9b571bf72224de9352

Observation 152a9a4e-7e92-4e5e-b764-d5b3488f7c19 · outbound

This paper cites Non-autoregressive conditional diffusion models for time series prediction.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Non-autoregressive conditional diffusion models for time series prediction

Reference 45

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unresolved
no resolver link, observed 2026-08-07T13:19:12.193146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:12.193146Z digest=sha256:058b8176844b36dd49caf68656bfc9c471535340657e697f9d702092e977615f

Observation 8cbd6a9d-bfb1-4ef5-b580-0743f4ee9293 · outbound

This paper cites Retrieval-augmented diffusion models for time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Retrieval-augmented diffusion models for time series forecasting

Reference 46

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unresolved
no resolver link, observed 2026-08-07T13:19:12.290421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:12.290421Z digest=sha256:a458c902af7087ce202933bd1aac6fefdfa08fb1f5875d6dc2686d9953804ede

Observation 119f7b9c-8a81-4707-bb1d-7a461413f360 · outbound

This paper cites Fdf: Flexible decoupled framework for time series forecasting with conditional denoising and polynomial modeling.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Fdf: Flexible decoupled framework for time series forecasting with conditional denoising and polynomial modeling

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:12.387180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:12.387180Z digest=sha256:0d3d8af7aa754837cb0bf3de2475031a77e6de398b61f21403980bd0c1699ff1

Observation ab78bc60-ec14-48b9-b55c-feed13d1e84b · outbound

This paper cites s2ip-llm: Semantic space informed prompt learning with llm for time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model s2ip-llm: Semantic space informed prompt learning with llm for time series forecasting

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:17.450962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:12.482150Z digest=sha256:228f5e7dbd05bd926636d76e43eadcc11d00c5bf35c2f87efce016675d398e31

Observation a0e2ecbb-0284-4222-bbe3-9fe3844f4c99 · outbound

This paper cites Are language models actually useful for time series forecasting? Advances in Neural Information Processing Systems, 37:60162–60191, 2024.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Are language models actually useful for time series forecasting? Advances in Neural Information Processing Systems, 37:60162–60191, 2024

Reference 49

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no resolver link, observed 2026-08-07T13:19:12.571767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:12.571767Z digest=sha256:6d38c421457cd26a73e40f671863d03975955650e3c93898e8fe7d13c973b8ee

Observation 79184409-b658-4315-be8e-32dcec7e85ea · outbound

This paper cites Perioperative myocardial injury and the contribution of hypotension.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Perioperative myocardial injury and the contribution of hypotension

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:17.326007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:12.660826Z digest=sha256:e9fcdce540b54c4de97b768aab866d79e9d457060352c9ae427138fe61fe841e

Observation 9967d372-ffa5-49eb-9887-db2589fb17c1 · outbound

This paper cites Pe- rioperative quality initiative consensus statement on intraoperative blood pressure, risk and outcomes for elective surgery.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Pe- rioperative quality initiative consensus statement on intraoperative blood pressure, risk and outcomes for elective surgery

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T13:19:17.122382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:12.776912Z digest=sha256:ada560f2aed69d3182bc08e8e52aa6de068de7a7b960c162ec5388bef70b621b

Observation 0e9f8189-4826-49a3-8094-fae26d6a8f5f · outbound

This paper cites Formula and nomogram for the sphygmomanometric calculation of the mean arterial pressure.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Formula and nomogram for the sphygmomanometric calculation of the mean arterial pressure

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:16.894891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:12.903949Z digest=sha256:dc363c2098967ed1516670496b992d303050a206141033a40fb02d43ef5e826f

Observation 3d120b34-467c-4b04-b0a2-020ccda4d0a4 · outbound

This paper cites The meaning of blood pressure.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model The meaning of blood pressure

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:16.712549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:13.014749Z digest=sha256:0712a207fdfe109bd401ce51148ea36104fabd9c0daddfcc92bf836118c33192

Observation eb309fab-3905-4a1f-8ce8-15c9ccac0029 · outbound

This paper cites an unresolved cited work.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:16.461231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:13.105300Z digest=sha256:4b69d9a73698ebe8e190af234a62dc0f6d9da1d9e7d6525f551fe8319252f806

Observation 38bcac16-7dee-4374-8709-546e48d371d9 · outbound

This paper cites Language models are unsupervised multitask learners.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Language models are unsupervised multitask learners

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:13.228637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:13.228637Z digest=sha256:14db79845d25a80ce2e411ec2c36bf40244964b7036a25446617c769f622a329

Observation 5de75450-c317-4d1d-86f9-173d77188aed · outbound

This paper cites Definition of clinically relevant intraoperative hypotension: A data-driven approach.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Definition of clinically relevant intraoperative hypotension: A data-driven approach

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:16.238865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:13.362167Z digest=sha256:47ff02c63a3a584a8d1c736df2b342d32f927b287b7016334b8ce2f0005a6cf0

Observation 98a1d849-2ef9-4815-93fb-357b1bf60e5f · outbound

This paper cites Mitigating intraoperative hypotension: a review and update on recent advances.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Mitigating intraoperative hypotension: a review and update on recent advances

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:22.887806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:13.481670Z digest=sha256:ccc8a711dac26cb7101e84719fe0d73d328e88f15533fefb3a7e87752a3df83b

Observation 46dd12f8-641e-4763-8a25-b5314bd1dfc1 · outbound

This paper cites Denoising diffusion probabilistic models.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Denoising diffusion probabilistic models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:13.619936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:13.619936Z digest=sha256:7a85c2e06803574789a4de21edec15015e712cbbd31caa7aa5f6dad7256c1a8d

Observation ffb286a9-8e7a-4fa2-a6ec-45f1d0f9b304 · outbound

This paper cites Vector quantized diffusion model for text-to-image synthesis.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Vector quantized diffusion model for text-to-image synthesis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:13.734549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:13.734549Z digest=sha256:a945a3923d29f2d22916c655783bb969b056a5d798bf5c39dc7b70e61de5b6d6

Observation d698c983-ffa4-4408-b1bf-31b589c0b112 · outbound

This paper cites Adaln: a vision transformer for multidomain learning and predisaster building information extraction from images.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Adaln: a vision transformer for multidomain learning and predisaster building information extraction from images

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:15.958048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:13.847494Z digest=sha256:95e64c605db7cbaf9d276757318e6c26a23532d099fa9556aaeeb01195b578b8

Observation a268983f-26fa-411f-a147-b3aeea95eec4 · outbound

This paper cites A survey on time-series pre-trained models.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model A survey on time-series pre-trained models

Reference 61

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unresolved
no resolver link, observed 2026-08-07T13:19:13.950080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:13.950080Z digest=sha256:93a08d1c114a0420f41f0618d5d3a7c343925c888e9cb674e2db85e18b4f1f54

Observation 222da34c-a3c4-41cc-8ad4-a84ae7117795 · outbound

This paper cites Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:14.041825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:14.041825Z digest=sha256:d33e87283d1ade3914cd0d440c9f3eb2a4bf997cf2cc512f8f7e98f2162af2a9

Observation 69fe290c-8969-4422-a34e-5796de227eb2 · outbound

This paper cites Intraoperative hypotension–physiologic basis and future directions.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Intraoperative hypotension–physiologic basis and future directions

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:15.763038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:14.160002Z digest=sha256:f6c522cdbca0a8ab8341e1fbd7f5c52a3ba6cd93b20d8abed8e3b94a078eabab

Observation a281084d-0ddb-437b-a64c-f05aaf011195 · outbound

This paper cites Fred- former: Frequency debiased transformer for time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Fred- former: Frequency debiased transformer for time series forecasting

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:15.558884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:14.279552Z digest=sha256:4b6dfb88ae8626895bc1c0e00cec831472962e92b90aa26f5f33a1d80466f593

Observation 25836e64-4c89-4ddc-aee8-d8affbcfce45 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:14.405736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:14.405736Z digest=sha256:b4b9754b4bb78f326b5693d24493ce80dc9d0b1339d0e191f9c20c408ef2c1f5

Observation 537c7cc6-8fd6-41c7-8f88-ced130c7029f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Adam: A Method for Stochastic Optimization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:14.514125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:14.514125Z digest=sha256:699f73255f2cc8f249267dcef370575ab103b778f0ac0d78df7f72c0225d0d80

Observation c88293cb-b891-4429-90c5-708695a5e2e9 · outbound

This paper cites Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:15.394333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:19:14.630621Z digest=sha256:0a7b812c0ce2080cd01a6c1b9463accf0fdfeb9c6eacb437d0a990684c26d97d

Pith citing papers

No inbound Pith citation observations are available.