Paper Citation Record · LEDGER

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

As of 4 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 11 inbound Pith citation observations for arXiv:2602.04940.

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

pith.paper-citation-record.v1
2602.04940 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:33:18.872505Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:30:46.230136Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29fb6a5c-d88c-40e1-b36d-0565088018fa · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T04:33:18.590463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ab8cc7-2dc9-41e5-bdfd-6530bf847e29 · outbound

This paper cites AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics.

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T04:33:18.423845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57ca0bc-5315-444e-902f-0ce99c1ed1b2 · outbound

This paper cites Subset Size.

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries Subset Size

Reference 2025

Resolution: malformed identifier; no resolver link, observed 2026-08-03T04:33:18.872505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3559dc08-d5b7-4d39-aff6-a13d6110c1d3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries Decoupled Weight Decay Regularization

Reference 8856

Resolution: unresolved; no resolver link, observed 2026-08-03T04:33:18.772524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4a084bb4-c5cb-4378-b71d-874bd96fd7ab · inbound

Learning Neural Operator Surrogates for the Black Hole Accretion Code cites this paper.

Learning Neural Operator Surrogates for the Black Hole Accretion Code Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b334099-8b17-4c6b-adfd-60a23c3fcaf9 · inbound

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics cites this paper.

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b16b2001-0aae-4a1d-8ecd-1c1f981d184f · inbound

M$^3$: Reframing Training Measures for Discretized Physical Simulations cites this paper.

M$^3$: Reframing Training Measures for Discretized Physical Simulations Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c818d0c-7a36-4edd-a642-e867dd019d5f · inbound

ShardTensor: Domain Parallelism for Scientific Machine Learning cites this paper.

ShardTensor: Domain Parallelism for Scientific Machine Learning Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b88adb40-672c-436e-990e-c340050f1dfa · inbound

Neural Statistical Functions cites this paper.

Neural Statistical Functions Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83caf406-d4a5-47d5-9fae-acd57eec7e02 · inbound

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition cites this paper.

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:04:38.617436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9cc45ac9-4107-409f-91cd-5cddd0e503e9 · inbound

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning cites this paper.

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 755520d8-f6a2-4a82-bf27-a1b6df7b6597 · inbound

Let There Be Light: Reflection, Refraction and Scattering for Neural Operators cites this paper.

Let There Be Light: Reflection, Refraction and Scattering for Neural Operators Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:26:26.278319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 454f8668-59c9-499f-aaee-891641626335 · inbound

Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids cites this paper.

Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:17:27.170385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f079ed18-9f6b-4464-9277-18a7d2467435 · inbound

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions cites this paper.

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T03:30:46.230136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122fad9c-0c35-423c-a489-a8f18706c52b · inbound

Physics Transformer: Tailoring Transformer for General PDE Prediction cites this paper.

Physics Transformer: Tailoring Transformer for General PDE Prediction Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-31T12:51:45.028494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.