Paper Citation Record · LEDGER

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2403.03542.

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

pith.paper-citation-record.v1
2403.03542 v4

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measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:16:45.589686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:46.072947Z

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Outbound references

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Pith citing papers

Observation 8fc3bc04-4795-4b26-8683-2666ed35fd21 · inbound

Neuro-Symbolic AI for Analytical Solutions of Differential Equations cites this paper.

Neuro-Symbolic AI for Analytical Solutions of Differential Equations DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:35:21.232890Z

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.

Observation 988f47bd-c193-4b3f-8fdc-3ab3cb6e2a86 · inbound

Machine learning for modelling unstructured grid data in computational physics: a review cites this paper.

Machine learning for modelling unstructured grid data in computational physics: a review DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 253

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:41.517867Z

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Unavailable: canonical work link unavailable.

Observation fec276bf-458b-4edc-9c27-9193f9d6042d · inbound

Latent Mamba Operator for Partial Differential Equations cites this paper.

Latent Mamba Operator for Partial Differential Equations DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:44.021281Z

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Observation b9af19c6-7593-40e2-bf4a-d53a907b43ee · inbound

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling cites this paper.

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:19.910197Z

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Observation c793f809-80b1-4c22-8434-65beb61ac277 · inbound

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias cites this paper.

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:51.767501Z

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Observation 23a05eff-02cf-415b-bbaa-6ebb7c2db7a1 · inbound

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations cites this paper.

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:52.883448Z

Source-reported events for the cited work

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Observation c4685dd2-b817-4322-8a7b-4d41bf5a6745 · inbound

Flow marching for a generative PDE foundation model cites this paper.

Flow marching for a generative PDE foundation model DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:51:25.491492Z

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.

Observation ba409a62-8b96-4b64-9b99-449960ccec68 · inbound

Generative Neural Operators through Diffusion Last Layer cites this paper.

Generative Neural Operators through Diffusion Last Layer DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:47:29.454528Z

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Observation 923c381c-a9d8-4dbf-bc86-810f1fe1f660 · inbound

Latent Generative Solvers for Generalizable Long-Term Physics Simulation cites this paper.

Latent Generative Solvers for Generalizable Long-Term Physics Simulation DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T05:22:22.546802Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f5ba409-0069-42d3-b850-0218f9a698d7 · inbound

Replay-Based Continual Learning for Physics-Informed Neural Operators cites this paper.

Replay-Based Continual Learning for Physics-Informed Neural Operators DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:05.503809Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b54c6be-6128-4c80-b698-4aa367841380 · inbound

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models cites this paper.

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:14:42.371675Z

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.

Observation e983a2c7-7edc-4629-b54f-76e506ede034 · inbound

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models cites this paper.

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:46:39.693243Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd505eef-555d-4ad7-92ab-13d20d0ba8ab · inbound

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models cites this paper.

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:44:57.790236Z

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.

Observation c4782378-5213-4fe4-b49c-0586886e514c · inbound

Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation cites this paper.

Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:14:37.590062Z

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.

Observation 02e0acae-3ace-4fa6-b7f9-aa8b66782c3c · inbound

Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation cites this paper.

Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:54:49.446189Z

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.

Observation f2debef3-6702-46ea-a7b6-725dc78e10c5 · inbound

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers cites this paper.

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.990281Z

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.

Observation 9410f515-270d-4eee-8eff-64b48f5830b6 · inbound

AutoPDE: Reliable Agentic PDE Solving via Explicitly Represented Solver Strategies cites this paper.

AutoPDE: Reliable Agentic PDE Solving via Explicitly Represented Solver Strategies DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:07:39.213250Z

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.

Observation fd27ae0e-2dfe-4677-880e-a38d5dfff424 · inbound

Harness In-Context Operator Learning with Chain of Operators cites this paper.

Harness In-Context Operator Learning with Chain of Operators DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:46.074817Z

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.

Observation 819adc8b-5575-4b13-bd67-46e39525fe1e · inbound

Physics-Informed Neural Quantum Control for Rovibrational Photoassociation in a Morse Molecular System cites this paper.

Physics-Informed Neural Quantum Control for Rovibrational Photoassociation in a Morse Molecular System DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T10:52:34.788031Z

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Unavailable: canonical work link unavailable.

Observation bbe4cc2b-7432-4293-a006-8814f046e40b · inbound

Physics-Informed Neural Quantum Control for Rovibrational Photoassociation in a Morse Molecular System cites this paper.

Physics-Informed Neural Quantum Control for Rovibrational Photoassociation in a Morse Molecular System DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T17:01:40.442364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7275f39b-ba43-4d7f-8285-96008eccc2cc · 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 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.181881Z

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.

Observation 2d82fd58-3991-42e7-bd5c-d3ba235f75c6 · inbound

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows cites this paper.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:17:58.589675Z

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Observation 4032cd48-d7fa-4f52-90c7-f036811ee339 · inbound

Neural operator discovery from heterogeneous trajectories cites this paper.

Neural operator discovery from heterogeneous trajectories DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T23:47:27.731039Z

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Observation 8be549b4-7c33-42d3-be2c-b893caa6d693 · inbound

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation cites this paper.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:47.782300Z

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Unavailable: canonical work link unavailable.

Observation 7ea6352f-f67b-413d-a952-fdbac5460ad8 · inbound

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning cites this paper.

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T00:16:45.589686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.