Paper Citation Record · LEDGER

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2308.05732.

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

pith.paper-citation-record.v1
2308.05732 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:13:41.463768Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:06:27.733905Z

Reference resolution

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verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c77851f6-881a-42f2-909c-77a35c412848 · inbound

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling cites this paper.

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:22:14.692978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d491d3a-914f-45cc-9ea1-2842aad391e6 · inbound

Latent Generative Solvers for Generalizable Long-Term Physics Simulation cites this paper.

Latent Generative Solvers for Generalizable Long-Term Physics Simulation PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T05:22:22.576431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c10aa05c-c3bd-4033-b656-28139af4e24c · inbound

Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations cites this paper.

Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:26.539032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f179b1f-c43d-42ac-825b-0c3e1af1f3b7 · inbound

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions cites this paper.

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:02:47.305307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de3dab7d-b450-490b-aa40-66a2502e5ae8 · inbound

NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling cites this paper.

NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.524131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8244c6cb-fe16-4716-b44e-9189b57d8586 · inbound

Towards a Foundation Model for the Martian Atmosphere cites this paper.

Towards a Foundation Model for the Martian Atmosphere PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 175

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.830767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4668083-b7f6-414e-8e52-4c903af7c5cd · inbound

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations cites this paper.

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:27.736205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 390921f9-bae7-479a-977e-8cccd9abde8d · inbound

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust cites this paper.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c7cdce-96cb-43ba-b960-fd7e1dfeca01 · inbound

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields cites this paper.

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T10:13:41.463768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6919013c-1a62-4826-86d1-7f3357592f43 · inbound

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study cites this paper.

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-30T16:23:26.571003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.