Paper Citation Record · LEDGER

Active Learning for Neural PDE Solvers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.01536.

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

pith.paper-citation-record.v1
2408.01536 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:14.103756Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 14f54c54-5ea4-4f1a-a28e-f9e0dbeb4589 · inbound

Governing Equation Discovery from Data Based on Differential Invariants cites this paper.

Governing Equation Discovery from Data Based on Differential Invariants Active Learning for Neural PDE Solvers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:14.103756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a59a57d-2549-4f52-b465-30dbf4120970 · inbound

Active Learning with Selective Time-Step Acquisition for PDEs cites this paper.

Active Learning with Selective Time-Step Acquisition for PDEs Active Learning for Neural PDE Solvers

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:54:08.569719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69272800-f8fc-499c-8378-eda0fa81641e · inbound

Active learning with physics-informed neural networks for optimal sensor placement in deep tunneling through transversely isotropic elastic rocks cites this paper.

Active learning with physics-informed neural networks for optimal sensor placement in deep tunneling through transversely isotropic elastic rocks Active Learning for Neural PDE Solvers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T20:19:20.633657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96231a4d-1332-4c23-b151-6c59256a45fd · inbound

Neural Operator Representation of Granular Micromechanics-based Failure Envelope cites this paper.

Neural Operator Representation of Granular Micromechanics-based Failure Envelope Active Learning for Neural PDE Solvers

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:14.256852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92831881-311e-4ba0-ace5-803ddcf617ce · inbound

Data-Efficient Neural Operator Training via Physics-Based Active Learning cites this paper.

Data-Efficient Neural Operator Training via Physics-Based Active Learning Active Learning for Neural PDE Solvers

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.513218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2feea59-ccba-4aa9-a954-5c2f3039369f · inbound

Data-Efficient Neural Operator Training via Physics-Based Active Learning cites this paper.

Data-Efficient Neural Operator Training via Physics-Based Active Learning Active Learning for Neural PDE Solvers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.097837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bc96fd0-171b-4f3d-ba69-4567fcb026a2 · inbound

Is Zero-Shot Super-Resolution Possible in Operator Learning? cites this paper.

Is Zero-Shot Super-Resolution Possible in Operator Learning? Active Learning for Neural PDE Solvers

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:52:35.025486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9cc48219-df86-4c0b-8b00-1a9654e7495d · 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 Active Learning for Neural PDE Solvers

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-30T16:23:26.954959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.