Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T11:02:02.800187Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2601.08001.
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 2026-08-03T11:02:02.800187Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
50 of 50 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Operator learning for models of tear film breakup The ocular surface16(1), 4–30 (2018)
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Acta Ophthalmol.48(1), 108–118 (1970) 18
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Physica D: Nonlinear Phenomena342, 1–15 (2017)
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Journal of Engineering Mathematics149(1), 5 (2024) https://doi.org/10.1007/s10665-024-10407-6
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Operator learning for models of tear film breakup Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods
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Operator learning for models of tear film breakup In: Advances in Neural Information Processing Systems, vol
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Operator learning for models of tear film breakup Journal of Machine Learning Research24(318), 1–67 (2023)
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Operator learning for models of tear film breakup Current Eye Research19(1), 4–11 (1999)
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Operator learning for models of tear film breakup Journal of Colloid and Interface Science240(1), 259–271 (2001) https://doi.org/ 10.1006/jcis.2001.7562
Reference 34
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Unresolved cited work
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Operator learning for models of tear film breakup Journal of Scientific Computing92(3), 88 (2022) https: //doi.org/10.1007/s10915-022-01939-z
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Operator learning for models of tear film breakup Universal Differential Equations for Scientific Machine Learning
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