Paper Citation Record · LEDGER

Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.10836.

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

pith.paper-citation-record.v1
2407.10836 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:34:33.523311Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a0497dce-bfe1-4eae-94ea-18fcaabbe90b · inbound

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space cites this paper.

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T17:34:33.523311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc75d676-d265-49be-85d0-b7e812a157e0 · inbound

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects cites this paper.

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations

Reference 275

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.702729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2a411df-6378-40e5-8214-40e8aa60c373 · inbound

Overcoming the Limits of Finite Difference Method; Physics-Informed Neural Network for Noisy High-Dimensional Heat Diffusion cites this paper.

Overcoming the Limits of Finite Difference Method; Physics-Informed Neural Network for Noisy High-Dimensional Heat Diffusion Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-27T20:31:14.422457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f70a1a0e-efe8-4cb8-b372-5dd14a001854 · inbound

Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach cites this paper.

Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-07T20:34:09.768891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.