Paper Citation Record · LEDGER

Solving High-Dimensional PDEs with Latent Spectral Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2301.12664.

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

pith.paper-citation-record.v1
2301.12664 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:49:49.812178Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:15:44.169197Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 131bca14-f8d3-4a04-8d1c-4bdebf0f7d34 · inbound

Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries cites this paper.

Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries Solving High-Dimensional PDEs with Latent Spectral Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T18:29:14.464477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec28f40b-e130-4cd8-bd45-847c9c3cf025 · inbound

A deformation-based framework for learning solution mappings of PDEs defined on varying domains cites this paper.

A deformation-based framework for learning solution mappings of PDEs defined on varying domains Solving High-Dimensional PDEs with Latent Spectral Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:53.120297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee5a8a40-9f80-41cb-8a9f-30e8fc278aa0 · inbound

Latent Mamba Operator for Partial Differential Equations cites this paper.

Latent Mamba Operator for Partial Differential Equations Solving High-Dimensional PDEs with Latent Spectral Models

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:44.120866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00793245-cbc8-4b47-acb7-86dbabb9a894 · inbound

Ocean-E2E: Hybrid Physics-Based and Data-Driven Global Forecasting of Extreme Marine Heatwaves with End-to-End Neural Assimilation cites this paper.

Ocean-E2E: Hybrid Physics-Based and Data-Driven Global Forecasting of Extreme Marine Heatwaves with End-to-End Neural Assimilation Solving High-Dimensional PDEs with Latent Spectral Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:23.031723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94bed344-257e-497a-b9d6-27f272dcd7d1 · inbound

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids cites this paper.

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids Solving High-Dimensional PDEs with Latent Spectral Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:53.451093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3178b1e-b2ea-4be8-897d-f7799bcaf2d4 · inbound

Self-composing neural operators for high-frequency and multiscale PDE surrogates cites this paper.

Self-composing neural operators for high-frequency and multiscale PDE surrogates Solving High-Dimensional PDEs with Latent Spectral Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T16:49:49.812178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80661905-8e62-4cdc-bc0d-f1f1ae9d18e0 · inbound

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting cites this paper.

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting Solving High-Dimensional PDEs with Latent Spectral Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:20:42.045118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 806bb768-8c43-4b2b-b4c5-9b050939229e · inbound

CATO: Charted Attention for Neural PDE Operators cites this paper.

CATO: Charted Attention for Neural PDE Operators Solving High-Dimensional PDEs with Latent Spectral Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:56:15.075550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3fda1f8d-243f-4089-bc8d-3e274485196e · inbound

Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs cites this paper.

Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs Solving High-Dimensional PDEs with Latent Spectral Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:27.717350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1ebc381-e1c4-4bd9-b749-224bff11f15d · inbound

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations cites this paper.

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations Solving High-Dimensional PDEs with Latent Spectral Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:07:51.000280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc583a0f-68d6-465a-9bbe-0ef087fe3f78 · inbound

LEIA: Learned Environment for Interactive Architected Materials cites this paper.

LEIA: Learned Environment for Interactive Architected Materials Solving High-Dimensional PDEs with Latent Spectral Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:29.090222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db294364-f30a-4f50-a13f-f36e179cf139 · inbound

Factorized Neural Operators Decompose Dynamic and Persistent Responses cites this paper.

Factorized Neural Operators Decompose Dynamic and Persistent Responses Solving High-Dimensional PDEs with Latent Spectral Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T11:12:17.017451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efbcffd-3b9c-41f5-a617-53bd45267607 · inbound

Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer cites this paper.

Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer Solving High-Dimensional PDEs with Latent Spectral Models

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.170634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b30fc64-9520-4187-b555-eb0a18373f87 · inbound

Adaptive Mamba Neural Operators cites this paper.

Adaptive Mamba Neural Operators Solving High-Dimensional PDEs with Latent Spectral Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:25:00.682706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff584f4-ea3a-4d84-b5be-a31defbee81d · inbound

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries cites this paper.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Solving High-Dimensional PDEs with Latent Spectral Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:15:54.312605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.