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Paper Citation Record · LEDGER

Continuous PDE Dynamics Forecasting with Implicit Neural Representations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2209.14855.

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

pith.paper-citation-record.v1
2209.14855 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:34:02.223667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:40.406208Z

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 bfd5d7ea-24b3-46d8-b9b3-d09cfd4c87e0 · inbound

Geometric Neural Process Fields cites this paper.

Geometric Neural Process Fields Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T12:34:02.223667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:34:02.223667Z digest=sha256:3d95b6c3c189bafd7b6dbcf01e1dd7b16a39b9e49a469a0849bf2ca83dc4c44e

Observation 77b9062c-ff17-4621-aee0-177ee7d101b8 · inbound

Physics-based machine learning for mantle convection simulations cites this paper.

Physics-based machine learning for mantle convection simulations Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.563479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.563479Z digest=sha256:fced1734bb12649d714fbfa79493978f69c6821e0139bf9fe126ccb91ed80d34

Observation f092d03f-ff75-4a9f-99f9-6fe3a56ecef7 · inbound

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling cites this paper.

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:15.595813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:15.595813Z digest=sha256:8cb547059fed35d47645c626e0c7b247fd1f6d6b07bc8125b5fc76a93e89afeb

Observation 4d14ce4f-425c-42f2-9202-0173da50688d · inbound

A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations cites this paper.

A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:05:24.289162Z

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.

source=pdf_text observed=2026-05-21T17:04:21.164340Z digest=sha256:a845e1425dba81ffdb1b525ceaedcba01d886b649724f58c5624b68e7644c92a

Observation 58ddcb93-b5e2-41da-abf2-2a355938878e · inbound

Tackling multiphysics problems via finite element-guided physics-informed operator learning cites this paper.

Tackling multiphysics problems via finite element-guided physics-informed operator learning Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T18:21:27.015897Z

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.

source=pdf_text observed=2026-05-15T18:20:28.676399Z digest=sha256:2b5691d22cef8f664fc78fbdd7a3050113a9d923d08c7ffa4ce9fd9d73618e50

Observation 99d9e3cd-8498-43c6-9a49-9cf6a87d741c · inbound

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T11:40:03.386998Z

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.

source=pdf_text observed=2026-05-21T11:37:48.433545Z digest=sha256:4911bc947ccdcdfe15cb800909113af0a25da6654ba95a9490114737d73d0f77

Observation 52251eb7-ee37-4f4c-b604-1f57cec70361 · inbound

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T18:19:47.486962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:19:47.486962Z digest=sha256:6b2cd4701daf30fc50ab157dcccadf991052ddbc79cad0cbec721aed8dc8ad8d

Observation ca2024da-d91d-4a6c-a053-23f5720123e1 · inbound

OnlyDense: Reduced-Order Modeling for Lagrangian simulation cites this paper.

OnlyDense: Reduced-Order Modeling for Lagrangian simulation Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:27:29.469469Z

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.

source=pdf_text observed=2026-06-27T17:14:16.160664Z digest=sha256:c1e81c3065f99c7f88d7f28e965026e1e3f411ab092ccb432181367826217ea0

Observation 4e536199-38e1-4c57-a90f-44d3c3efb10a · inbound

Physics-conforming Latent Twins cites this paper.

Physics-conforming Latent Twins Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:48:40.407916Z

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.

source=arxiv_source observed=2026-06-27T04:58:16.205871Z digest=sha256:6308365976656a5a4465bc35b6a842dbf1d3ddd810ac430560bcccb40a6a5984