Paper Citation Record · LEDGER

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.02663.

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

pith.paper-citation-record.v1
2608.02663 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:50:59.746983Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ede7cc4-b1cc-4d4a-aa06-246d1e8b2a05 · outbound

This paper cites Modeling Irregularly Sampled Clinical Time Series.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Modeling Irregularly Sampled Clinical Time Series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T00:50:59.001259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470dbf57-04b4-438c-98cf-ede6a68ab22d · outbound

This paper cites A new efficient ALignment-driven Neural Network for Mortality Predic- tion from Irregular Multivariate Time Series data,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study A new efficient ALignment-driven Neural Network for Mortality Predic- tion from Irregular Multivariate Time Series data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:51:00.046916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0219b61c-0795-4170-a426-e0dae5015029 · outbound

This paper cites Predictive Modeling with Temporal Graphical Representation on Electronic Health Records,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Predictive Modeling with Temporal Graphical Representation on Electronic Health Records,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:51:00.038862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 474ed443-cc04-464c-9d36-bd7735a4a9fd · outbound

This paper cites Deep Learning with Heterogeneous Graph Embeddings for Mortality Pre- diction from Electronic Health Records,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Deep Learning with Heterogeneous Graph Embeddings for Mortality Pre- diction from Electronic Health Records,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:51:00.030263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d41f907d-7c72-4d17-8c6f-8969e5c51c38 · outbound

This paper cites CI-GNN: A Granger Causality-Inspired GNN for Interpretable Brain Network- Based Psychiatric Diagnosis,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study CI-GNN: A Granger Causality-Inspired GNN for Interpretable Brain Network- Based Psychiatric Diagnosis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:51:00.022298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5778e4a3-9a49-4754-9d91-00d7fc91b091 · outbound

This paper cites Graph Neural Network Causal Explanation via Neural Causal Models,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Graph Neural Network Causal Explanation via Neural Causal Models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:51:00.013751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebe2d429-9679-4745-bf85-9e5fbbe23c20 · outbound

This paper cites Multi-Time Attention Networks for Irregularly Sampled Time Series,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Multi-Time Attention Networks for Irregularly Sampled Time Series,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:51:00.005720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d3d94fd1-c10d-44f8-bd32-ae70131ddb4a · outbound

This paper cites Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.997025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 259ae47b-0d5c-47b6-a184-52c0e2b8bd4d · outbound

This paper cites DynaGraph: interpretable dynamic graph learning for temporal electronic health records,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study DynaGraph: interpretable dynamic graph learning for temporal electronic health records,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.988446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 687ed688-5add-4bbe-b530-f7ca11f67930 · outbound

This paper cites DyGraphTrans: A temporal graph representation learning framework for disease progression from EHRs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study DyGraphTrans: A temporal graph representation learning framework for disease progression from EHRs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.979988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a41fafe-6c01-4724-a6fe-23597bdb60db · outbound

This paper cites CF-GNNExplainer: Counterfactual Explanations for Graph Neural Net- works,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study CF-GNNExplainer: Counterfactual Explanations for Graph Neural Net- works,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.971701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0fe52b31-f6f0-4a83-a957-cad20c94e1c3 · outbound

This paper cites PMTG: Personalized Multivariate Temporal Graph Learning for Clinical Pre- diction on EHRs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study PMTG: Personalized Multivariate Temporal Graph Learning for Clinical Pre- diction on EHRs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.962974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed9772c4-e2f6-47d8-bcfa-8f2b6ba51beb · outbound

This paper cites MedGAITS: a graph autoencoder network for modeling irregular time series data in EMRs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study MedGAITS: a graph autoencoder network for modeling irregular time series data in EMRs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.954775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ecd18df-8d0f-454c-a54c-cf58bf55eb1f · outbound

This paper cites CausGNN: A Causal-Based Explanation Framework for Graph Neural Networks,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study CausGNN: A Causal-Based Explanation Framework for Graph Neural Networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.946614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8dafbefc-5575-4120-8904-86f8fa12909d · outbound

This paper cites OrphicX: A Causality-Inspired Latent Variable Model for Interpreting GNNs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study OrphicX: A Causality-Inspired Latent Variable Model for Interpreting GNNs,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.938144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6262b8de-718f-4e2e-b213-138f1f418842 · outbound

This paper cites Explainable Graph-Neural Architectures for ICU Mortality Prediction Using Logic Explained Networks,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Explainable Graph-Neural Architectures for ICU Mortality Prediction Using Logic Explained Networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.930002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50462f58-4c1e-41ec-a7bb-a070cbd77531 · outbound

This paper cites Interpretable Adaptive Graph Fusion Network for Mortality and Complication Prediction in ICUs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Interpretable Adaptive Graph Fusion Network for Mortality and Complication Prediction in ICUs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.921553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15d77d2f-0956-41a7-b476-c36c98facff8 · outbound

This paper cites ICU-TGNN: A Hybrid Multitask Transformer and GNN Model for ICU Clinical Outcomes,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study ICU-TGNN: A Hybrid Multitask Transformer and GNN Model for ICU Clinical Outcomes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.913565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cafff998-127a-435e-bb99-78758b9cce43 · outbound

This paper cites Continuous Graph Neural Networks,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Continuous Graph Neural Networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.905694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d5c2056-d375-49da-8344-c8a676d8200c · outbound

This paper cites Dynamic Graph Attention Modeling Based on Continuous Time Differentia- tion,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Dynamic Graph Attention Modeling Based on Continuous Time Differentia- tion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.897804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e34d9be-c813-4970-82c4-3e50d24ddb85 · outbound

This paper cites Graphical modelling in continuous-time: consistency guarantees via Neural ODEs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Graphical modelling in continuous-time: consistency guarantees via Neural ODEs,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.889823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7616fb8e-398e-49c1-b5a9-90c05c9390ca · outbound

This paper cites Interpretability and fairness evaluation of deep learning models on MIMIC- IV,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Interpretability and fairness evaluation of deep learning models on MIMIC- IV,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.881827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14cd69f2-c5f2-4e10-a662-02f764d8061f · outbound

This paper cites MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.873984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b60e5605-d436-4136-adc5-132af8e94945 · outbound

This paper cites Predicting Patient Outcomes with Graph Representation Learning,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Predicting Patient Outcomes with Graph Representation Learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.865615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4378d65-b5a0-44f2-bf41-267b03093bb1 · outbound

This paper cites CiRLExplainer: Causality-Inspired Explainer for Graph Neural Networks via Reinforcement Learning,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study CiRLExplainer: Causality-Inspired Explainer for Graph Neural Networks via Reinforcement Learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.856937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1424821-cb31-45ec-9aa7-337f25900861 · outbound

This paper cites Generating In-Distribution Counterfactual Explanation for GNNs,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Generating In-Distribution Counterfactual Explanation for GNNs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.848931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59b9f4d0-3c3b-4c9a-8f67-7b85ec3364fa · outbound

This paper cites CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.840605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ffcd0141-894f-42ec-9fba-cd5c88e7bb90 · outbound

This paper cites VitalTCN: Enhancing ICU Mortality Prediction Through Temporal Convolutional Networks,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study VitalTCN: Enhancing ICU Mortality Prediction Through Temporal Convolutional Networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.831651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8a26928-8eee-4467-9f49-b1c9f764cb1e · outbound

This paper cites Learning and Evaluating GNN Explanations based on Counterfactual and Factual Reasoning,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Learning and Evaluating GNN Explanations based on Counterfactual and Factual Reasoning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.821826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41832251-711e-43b0-b78f-d8ce3e9cc8cb · outbound

This paper cites Disease Risk Prediction via Heterogeneous Graph Attention Networks,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Disease Risk Prediction via Heterogeneous Graph Attention Networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.811955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a8b5c22c-e9ca-42c2-9b1d-4c4788ebafcc · outbound

This paper cites DHGL: Dynamic hypergraph-based deep learning model for disease prediction,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study DHGL: Dynamic hypergraph-based deep learning model for disease prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.802638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9431aa8-b23d-4e43-8807-7d579f928ded · outbound

This paper cites Recurrent Neural Networks for Multivariate Time Series with Missing Values,.

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Recurrent Neural Networks for Multivariate Time Series with Missing Values,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.793102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44d1f3ff-ecc7-4d3b-aef7-c7ac397a2716 · outbound

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

CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study Multitask learning and benchmarking with clinical time series data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:50:59.783518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.