Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T12:00:17.350802Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2606.26520.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T12:00:17.350802Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8a2d90d4-2eae-4ad5-ab70-0d69ecaeb834 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Applications of machine learning in antibody discovery, process de- velopment, manufacturing and formulation: Current trends, challenges, and opportunities,
Reference 1
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Observation e6859341-acff-499e-8a73-a71e3c6ec967 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Digital twins in pharmaceutical and biopharmaceutical manufacturing: A literature review,
Reference 2
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Observation 53fbeebb-52ff-4a9a-83cd-9ab40613ce24 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Elevated pco2 affects the lactate metabolic shift in CHO cell culture processes,
Reference 3
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Observation 54df60c1-bf6c-40d1-a9ac-553514539071 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting High-end ph-controlled delivery of glucose effectively suppresses lactate accumulation in CHO fed-batch cultures,
Reference 4
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Observation 2f2024c7-01c0-44d3-97b8-7d90be85bc84 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Data-driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins,
Reference 5
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Observation 1d4b043c-b5dc-4777-a461-898d73f9d136 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Applied advanced process analytics in biopharmaceutical manufacturing: Challenges and prospects in real-time monitoring and control,
Reference 6
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Observation 8f49fa41-0a58-4408-989f-fa06d1f4de93 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Opportunities and challenges of real-time release testing in biopharmaceutical manufacturing,
Reference 7
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Observation 7ca1663a-60c4-486f-ac8f-6cdaaae20486 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Machine learning methods for small data and upstream bioprocessing applications: A comprehensive review,
Reference 8
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Observation 6cb3d5f7-751d-4001-9088-e46b2c47a1d1 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Modeling kinetics of a large-scale fed-batch CHO cell culture by markov chain monte carlo method,
Reference 9
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Observation e247025b-c7dc-44c0-a4a4-8178fcbfc4ff · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Development and validation of a hybrid model for prediction of viable cell density, titer and cumulative glucose consumption in a mammalian cell culture system,
Reference 10
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Observation 6a880553-c51b-4898-8b39-86482fdd5038 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Data-driven soft sensing for batch processes using neural network-based deep quality-relevant representation learning,
Reference 11
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Observation 0ce9ab7e-d650-49c6-a30d-62deba945e7c · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Neu- ral ordinary differential equations,
Reference 12
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Observation eedd1a8d-156f-420e-9e42-f4d5db1feb5a · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting A neural ordinary differential equation model for predicting the growth of chinese hamster ovary cell in a bioreactor system,
Reference 13
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Observation b9ae9994-84bc-4589-a5cd-a615af5454bc · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Latent ordinary differential equations for irregularly-sampled time series,
Reference 14
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Observation 5760fac7-d4c3-4592-8587-c3897d6ef74a · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Review of adaptation mechanisms for data-driven soft sensors,
Reference 15
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Observation 8ce70bdc-9547-4481-ac05-1a93295cafe6 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Soft sensors: where are we and what are the current and future challenges?
Reference 16
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Observation b8586a0d-dd61-441b-a595-cc1546c0a077 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting A machine-learning approach to calibrate generic raman models for real-time monitoring of cell culture processes,
Reference 17
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Observation 779c9df6-9fa2-447f-88dd-c1ef27501ba2 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Automatic real-time calibration, assessment, and mainte- nance of generic raman models for online monitoring of cell culture processes,
Reference 18
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Observation 1c37c757-a996-42c6-b5cd-d7b8c1f56ac4 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Integration of just-in-time learning with variational autoencoder for cell culture process monitoring based on raman spectroscopy,
Reference 19
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Observation b4dc774e-3a17-4827-a792-d9e0d7507b9f · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Ex- tensive evaluation of machine learning models and data preprocessings for raman modeling in bioprocessing,
Reference 20
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Observation 68f166d4-2637-4f72-b150-1d7b4c7984de · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Adaptive ensemble-based hyperparameter-free just-in-time learning for robust cell culture process monitoring,
Reference 21
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Observation 0ccc3716-1307-437d-8abe-284fcc81b305 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Learning from limited data and feedback for cell culture process monitoring: A comparative study,
Reference 22
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Observation ee11043f-d036-4106-937e-1f94c180199c · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
Reference 23
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Observation 012c17d8-909a-4306-b9ea-92810c9dec63 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Online machine learning for real-time cell culture process mon- itoring,
Reference 24
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Observation c33732a0-0b17-4a74-82c3-fa417d4d1dd8 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
Reference 25
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Observation 1960f242-30df-47d7-a657-6dbbd1a8d0f7 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Multiple adaptive mechanisms for data-driven soft sensors,
Reference 26
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Observation 976d139f-c5c0-4e63-93d2-6827c83836ef · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Feature selection using stochastic gates,
Reference 27
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Observation a64f5d4c-d276-4225-b508-428826f0a057 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting 10 648–10 659
Reference 28
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Observation 3d6e15ee-fa48-4949-afed-6a2d7a6d69eb · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Temporal fusion transformers for interpretable multi-horizon time series forecasting,
Reference 29
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Observation 0709117a-a15d-4148-a102-a49d2ef9eb48 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Gaussian Error Linear Units (GELUs)
Reference 30
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Observation 68b1d281-d8e4-4497-b218-c78bc05a298e · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Making and evaluating point forecasts,
Reference 31
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Observation 464ffbaf-ed0b-45e6-8101-cd9faaafbe25 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Reference 33
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Observation e508b896-ccbe-4aa5-8818-403cc18d675c · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Lagging inference networks and posterior collapse in variational autoencoders,
Reference 34
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Observation 10396707-027a-43d5-b6b4-c686cd5cfb0d · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting A just-in-time fine-tuning framework for deep learning of sae in adaptive data-driven modeling of time-varying industrial processes,
Reference 35
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Observation 4394ecb6-da6b-4cbb-b48c-6c328c4d78b9 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Adversarial transferred data-assisted soft sensor for enhanced multigrade quality prediction,
Reference 36
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Observation 4e4491f3-f242-406b-9e76-c1c60efd897f · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Clustering of time series based on forecasting performance of global models,
Reference 37
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Observation aa07a16d-7f83-439e-b209-61aa1a391397 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Ensembles of localised models for time series forecasting,
Reference 38
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Observation 7d5ef2c3-bd6c-43b9-9d0f-7b5d54a3df5f · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Localized global time series forecasting models using evolutionary neighbor-aided deep clustering method,
Reference 39
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Observation 8543270e-6c14-407e-bec6-0a884413fd7c · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Multiple futures prediction,
Reference 40
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Observation b8051e6d-3d0b-4dd1-9689-70251409eb4e · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Soft sensor for viable cell counting by measuring dynamic oxygen uptake rate,
Reference 41
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Observation 10e5b883-9120-466c-9061-77cacc4c79f3 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Viable cell estimation of mammalian cells using off-gas-based oxygen uptake rate and aging- specific functional,
Reference 42
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Observation c8ade1b4-8099-4b5c-907d-043c5ff3480e · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting The shortcomings of accurate rate estimations in cultivation processes and a solution for precise and robust process modeling,
Reference 43
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Observation d5d2ff5e-cce2-4768-a969-158847db2bd7 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting A new approach to linear filtering and prediction problems,
Reference 44
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Observation d678b725-a14f-4a9d-ba08-3128c1015e0e · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Available: https://doi.org/10.1115/1.3662552
Reference 45
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Observation eede65f1-8294-4cd2-9235-724d78cac4f2 · outbound
Reference 46
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Observation 2735b106-704f-442b-b7a4-32d2231d40cf · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Cross-validation confidence intervals for test error,
Reference 47
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Observation 35982c4c-0d58-446f-ab50-9eb924ad8114 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Scikit-learn: Machine learning in python,
Reference 48
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Observation a08fcc24-ab06-408f-a979-a4af88a33a4f · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Pytorch: An imperative style, high-performance deep learning library,
Reference 49
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Observation c7b67c34-54bd-4e13-bbdb-1309e08afc91 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting torchdiffeq,
Reference 50
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Observation c0c72a54-bdf6-4f97-a1bf-31f162628c93 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Scale-down cultivation in mammalian cell bioreactors—the effect of bioreactor mixing time on the response of CHO cells to dissolved oxygen gradients,
Reference 51
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Observation f3ecaf9f-1716-4906-8f8d-51a327bc2437 · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Energy metabolism in chinese hamster ovary (CHO) cells: Productivity and beyond,
Reference 52
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Observation 5a985b96-7daa-41b8-a618-ef22055579fc · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Investiga- tion of the interactions of critical scale-up parameters (pH, po2 and pco2) on CHO batch performance and critical quality attributes,
Reference 53
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Observation aa2d7d46-9eb7-45bc-8505-f1cc4fe39e9c · outbound
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting A practical method for calculating largest lyapunov exponents from small data sets,
Reference 54
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No inbound Pith citation observations are available.