Paper Citation Record · LEDGER

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.21339.

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

pith.paper-citation-record.v1
2505.21339 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:53.479110Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact4
verified fuzzy7
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9db76c9f-dd55-484d-8812-875bb9dce795 · outbound

This paper cites Fieguth, Xiaochun Cao, Abbas Khosravi, U.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Fieguth, Xiaochun Cao, Abbas Khosravi, U

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.248257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b25076d5-44f3-4188-8398-e2cf0b5c902b · outbound

This paper cites Mixture density networks.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Mixture density networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.374756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b299a2-e062-46aa-ae73-db942052f6aa · outbound

This paper cites Learning accurate LSTM models of business processes.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Learning accurate LSTM models of business processes

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.536175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 714e858d-b889-4281-9e82-6ecf23c5067b · outbound

This paper cites Predictive process monitoring: concepts, challenges, and future research directions.Process Science, 1(1):2, 2024.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Predictive process monitoring: concepts, challenges, and future research directions.Process Science, 1(1):2, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.777022Z

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 5781e37a-dd6b-4a12-bad9-04305ad85de7 · outbound

This paper cites Gradnorm: Gra- dient normalization for adaptive loss balancing in deep multitask networks.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Gradnorm: Gra- dient normalization for adaptive loss balancing in deep multitask networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.564861Z

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 64916e68-414b-4785-b17d-3b8c9b1d797c · outbound

This paper cites Predicting process behaviour using deep learning.Decis.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Predicting process behaviour using deep learning.Decis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.907630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8957469-e3f0-49dd-a507-2e3bfb949100 · outbound

This paper cites Dropoutasabayesianapproximation: Representingmodel uncertainty in deep learning.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Dropoutasabayesianapproximation: Representingmodel uncertainty in deep learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.388476Z

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 2b1ad804-a9b2-4093-b843-a36caa63ccc5 · outbound

This paper cites A theoretically grounded application of dropout in recurrent neural networks.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction A theoretically grounded application of dropout in recurrent neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.217945Z

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 8abfd54b-240a-4f33-b66a-c930a4cea8a1 · outbound

This paper cites A direct data aware LSTM neural network architecture for complete remaining trace and runtime prediction.IEEE Trans.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction A direct data aware LSTM neural network architecture for complete remaining trace and runtime prediction.IEEE Trans

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:35:55.482628Z

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 e451f1fb-c11c-4fe7-b3d6-36f008d27840 · outbound

This paper cites Long Short-Term Memory.Neural Computation, 9(8):1735–1780, 1997.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Long Short-Term Memory.Neural Computation, 9(8):1735–1780, 1997

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:51.374838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4f59190-c7d3-4e6a-89a2-f7ab47e804bf · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.Mach.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.Mach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:51.501451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b848a5-b8ae-4695-9330-08e32fe115e6 · outbound

This paper cites What uncertainties do we need in bayesian deep learn- ing for computer vision? InAdvances in Neural Information Processing Systems - NeurIPS, pages 5574–5584, 2017.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction What uncertainties do we need in bayesian deep learn- ing for computer vision? InAdvances in Neural Information Processing Systems - NeurIPS, pages 5574–5584, 2017

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.038393Z

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 34790e09-b1ac-4077-94e3-11c0b6ad9312 · outbound

This paper cites van Dongen.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction van Dongen

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:51.684742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a457c6-42a1-4985-bd76-fdc938b8ddf1 · outbound

This paper cites Distributional regression for data analysis.Annual Review of Statistics and Its Application, 11, 2024.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Distributional regression for data analysis.Annual Review of Statistics and Its Application, 11, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:51.765063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df57a07-3c8e-4f92-990f-6494622ddeb7 · outbound

This paper cites Mm-pred: A deep predictive model for multi attribute event sequence.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Mm-pred: A deep predictive model for multi attribute event sequence

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.871668Z

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 ae3bcba7-8712-44b0-a1b4-6cb208b63992 · outbound

This paper cites Pre- dictive monitoring of business processes.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Pre- dictive monitoring of business processes

Reference 16

Resolution: verified exact; doi, observed 2026-08-07T13:35:54.127681Z

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 55063d40-766f-4eea-bd55-b7666071c877 · outbound

This paper cites Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized monte carlo dropout.Data Knowl.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized monte carlo dropout.Data Knowl

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.240307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c60ce84-6a31-4c4b-8969-04e4803fd3ec · outbound

This paper cites Bayesian network based predictions of business processes.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Bayesian network based predictions of business processes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.467714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b03c85-3f13-4ba6-85ed-4690b14576eb · outbound

This paper cites Uncertainty in predictive process monitoring.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Uncertainty in predictive process monitoring

Reference 20

Resolution: verified exact; doi, observed 2026-08-07T13:35:53.905678Z

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 37e0bb5c-fbbb-41bf-b88d-e1b8cf45578d · outbound

This paper cites Exploit- ing recurrent graph neural networks for suffix prediction in predictive monitoring.Computing, 106(9):3085–3111, 2024.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Exploit- ing recurrent graph neural networks for suffix prediction in predictive monitoring.Computing, 106(9):3085–3111, 2024

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T13:35:53.691530Z

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 72f28474-2527-41d0-b8a3-644959d3d555 · outbound

This paper cites an unresolved cited work.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.750785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 204899a3-754c-44fc-9de5-fe248abfc611 · outbound

This paper cites Deepar: Probabilistic forecasting with autoregressive recurrent networks.International Journal of Forecasting, 36 (3):1181–1191, 2020.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Deepar: Probabilistic forecasting with autoregressive recurrent networks.International Journal of Forecasting, 36 (3):1181–1191, 2020

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.681698Z

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 3bfd35b4-8106-4f02-b0b1-5682bc96ddb9 · outbound

This paper cites Predictive business process monitoring with LSTM neural networks.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Predictive business process monitoring with LSTM neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:53.045629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17090df8-e8aa-4fc4-9ee7-d265adaaf55e · outbound

This paper cites an unresolved cited work.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:53.175390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6bacb7-fc20-41c5-ba61-8678b5249e42 · outbound

This paper cites Learning uncertainty with artificial neural networks for predictive process monitoring.Appl.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Learning uncertainty with artificial neural networks for predictive process monitoring.Appl

Reference 26

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:35:53.296902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cd4ade-ac95-4e00-a43a-5a922e16b819 · outbound

This paper cites an unresolved cited work.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Unresolved cited work

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:35:54.841552Z

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 159dcd38-23c9-4668-88ac-d3e91a47ff82 · outbound

This paper cites Deep and confident prediction for time series at uber.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Deep and confident prediction for time series at uber

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:53.479110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3726fbd5-5d2c-4e3d-8e58-7860f1c3546b · outbound

This paper cites an unresolved cited work.

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Unresolved cited work

Reference 2019

Resolution: verified exact; doi, observed 2026-08-07T13:35:54.305865Z

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.