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Paper Citation Record · LEDGER

Physics-Informed Neural Networks and Extensions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.16806.

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

pith.paper-citation-record.v1
2408.16806 v1

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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:01.554457Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:02.721394Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 bd79920c-d174-4571-b358-b227223b5031 · inbound

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks cites this paper.

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks Physics-Informed Neural Networks and Extensions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:02:20.744440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T00:57:22.234551Z digest=sha256:fa0baf41b41342faaea4099c7d34b34270fde17b7b4818acae6d0df8c9e9f20c

Observation cd7fb88b-9ba1-48f9-80c3-08dfa8e252a4 · inbound

DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting Physics-Informed Neural Networks and Extensions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:01.554457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:01.554457Z digest=sha256:6be6802fedefd522f0151ce657475d4d33b68be9d2f39386db1480f37293dc90

Observation a0cc30f4-b8f1-4f8c-8e9b-b692b21d579c · inbound

Physics-Informed Neural Networks for Modeling the Martian Induced Magnetosphere cites this paper.

Physics-Informed Neural Networks for Modeling the Martian Induced Magnetosphere Physics-Informed Neural Networks and Extensions

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T06:41:57.530987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:41:57.530987Z digest=sha256:2478ec8917d3c1272fcfb402ddac613b58fe79cc1422b369145948972f200edc

Observation 7cae6406-8d76-4dcc-ae19-a17aa57173d5 · inbound

FOSSA: First-Order Optimality-Based Sensor Selection for PINN Inverse Problems, with Application to Electrocardiographic Imaging cites this paper.

FOSSA: First-Order Optimality-Based Sensor Selection for PINN Inverse Problems, with Application to Electrocardiographic Imaging Physics-Informed Neural Networks and Extensions

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:00:53.957815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:45:09.346335Z digest=sha256:c87e1f00b0032bf238780dccb94d2c23e38c9f16decaa4478c50e98fa1a4e998

Observation 7acdaca3-ff7e-4620-87e5-e29f4659af32 · inbound

Computational Control of Nonlinear Partial Differential Equations Using Machine Learning cites this paper.

Computational Control of Nonlinear Partial Differential Equations Using Machine Learning Physics-Informed Neural Networks and Extensions

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:41:08.617030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T11:18:42.256884Z digest=sha256:343ad2b93532e5feda41f45359f7b546a2d8cb83717e8041c45ad41c5542fe43

Observation ed869d4f-3d25-4f36-ba32-598199aa0f2c · inbound

A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling cites this paper.

A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling Physics-Informed Neural Networks and Extensions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:30:02.722791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T22:47:05.775339Z digest=sha256:eb17a4b1e8be3cffd2b19f1fdbdd441a198cc5c2c2be358bf1571641a4069f44

Observation 36025a2f-84a0-46a4-af72-1e5aa68b6ac5 · inbound

The Ramanujan Challenge For AI cites this paper.

The Ramanujan Challenge For AI Physics-Informed Neural Networks and Extensions

Reference 165

Resolution
unresolved
no resolver link, observed 2026-07-14T17:09:09.167784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T17:09:09.167784Z digest=sha256:284426dee2ec142f6363a4fb76f178fa527a4e4a603f5c9e25281c41d06deb2b

Observation de270436-3b9c-40cf-bfa0-aefe39d99cdc · inbound

Can AI Follow In Einstein's Footsteps? cites this paper.

Can AI Follow In Einstein's Footsteps? Physics-Informed Neural Networks and Extensions

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T01:19:20.451787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:19:20.451787Z digest=sha256:59c4df1d86eeb17fb67108d10ef571245962e3f1efc9d7d1ade7846e3c33eea4