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Paper Citation Record · LEDGER

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training

As of 4 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2602.20399.

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

pith.paper-citation-record.v1
2602.20399 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T12:17:15.852508Z

measured 28 of 28 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:37:38.479547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T13:43:29.124375Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact9
  • verified fuzzy8
  • unresolved4
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3bb508f-c6bb-42a2-953b-cfe933d0b6c8 · outbound

This paper cites GPT-4 Technical Report.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training GPT-4 Technical Report

Reference 1

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local_arxiv, observed 2026-05-21T12:20:06.925903Z

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.

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Observation bb9883b8-08c2-42f4-b799-74b25506e419 · outbound

This paper cites Altair physicsai.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Altair physicsai

Reference 2

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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.

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Observation a0ad3e7b-5798-4512-82a3-2772e117b8f4 · outbound

This paper cites DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 3

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arxiv_id, observed 2026-05-21T12:20:06.950915Z

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.

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Observation 46b674b1-ee8a-4ba3-bb6c-c21578804eca · outbound

This paper cites M., and Cor- nelius, J.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training M., and Cor- nelius, J

Reference 4

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raw_fallback, observed 2026-05-21T12:20:07.660789Z

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.

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Observation c382a71e-5292-4065-b69b-ebb8132bde0e · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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local_arxiv, observed 2026-05-21T12:20:06.919551Z

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.

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Observation 09534842-56db-45a0-a695-54489e041a39 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Training Deep Nets with Sublinear Memory Cost

Reference 6

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local_arxiv, observed 2026-05-21T12:20:06.906248Z

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.

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Observation 3205e301-0fdf-45b6-bdcc-187d366187f1 · outbound

This paper cites P3d: Scalable neural surrogates for high-resolution 3d physics simulations with global context.arXiv preprint arXiv:2509.10186.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training P3d: Scalable neural surrogates for high-resolution 3d physics simulations with global context.arXiv preprint arXiv:2509.10186

Reference 7

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arxiv_id, observed 2026-05-21T12:20:06.902121Z

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.

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Observation 129cd790-2aea-4204-a547-b692505f3723 · outbound

This paper cites Neural modular physics for elastic simulation.arXiv preprint arXiv:2512.15083.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Neural modular physics for elastic simulation.arXiv preprint arXiv:2512.15083

Reference 8

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arxiv_id, observed 2026-05-21T12:20:06.896714Z

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

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Observation d4b0718e-66e1-40f0-be53-2568788c7b82 · outbound

This paper cites Geometry-Informed Neural Operator for Large-Scale 3D PDEs.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 9

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arxiv_id, observed 2026-05-21T12:20:06.941550Z

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

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Observation 56ce337d-082e-481a-a3e1-7b4a7c47b806 · outbound

This paper cites A., Chavare, S., Akhare, D., Ranade, R., Cherukuri, R., and Tadepalli, S.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training A., Chavare, S., Akhare, D., Ranade, R., Cherukuri, R., and Tadepalli, S

Reference 10

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arxiv_id, observed 2026-05-21T12:20:06.915600Z

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

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Observation b42f47f1-043c-4a92-bf23-d4eb233d6df3 · outbound

This paper cites Geometry aware operator transformer as an efficient and accurate neural surrogate for pdes on arbitrary domains.arXiv preprint arXiv:2505.18781.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Geometry aware operator transformer as an efficient and accurate neural surrogate for pdes on arbitrary domains.arXiv preprint arXiv:2505.18781

Reference 11

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arxiv_id, observed 2026-05-21T12:20:06.946016Z

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.

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Observation b5a65db3-8408-4cb1-882d-c1774b300258 · outbound

This paper cites PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations

Reference 12

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arxiv_id, observed 2026-05-21T12:20:06.936481Z

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

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Observation cc234cd6-64f0-4278-b475-93c333745700 · outbound

This paper cites From cheap geometry to expensive physics: Elevating neural operators via latent shape pretraining.arXiv preprint arXiv:2509.25788.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training From cheap geometry to expensive physics: Elevating neural operators via latent shape pretraining.arXiv preprint arXiv:2509.25788

Reference 13

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arxiv_id, observed 2026-05-21T12:20:06.931443Z

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.

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Observation 823abce0-7013-406d-a783-2de64fcf5048 · outbound

This paper cites an unresolved cited work.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Unresolved cited work

Reference 14

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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.

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Observation 3d37a0b3-47ce-4429-a255-f1b973de2d90 · outbound

This paper cites an unresolved cited work.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Unresolved cited work

Reference 15

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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.

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Observation 8efffd01-6870-41a7-b95c-0d6bd1863d05 · outbound

This paper cites However, geometries in the initial version of ShapeNet may contain incorrect normals and non-aligned orientations.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training However, geometries in the initial version of ShapeNet may contain incorrect normals and non-aligned orientations

Reference 16

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raw_fallback, observed 2026-05-21T12:20:07.649439Z

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

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Observation 9b314ab5-d951-45aa-aaf1-bfa07f167c5b · outbound

This paper cites We plot the element-wise maximum 2D V on Mises stress during the crash with 26.93◦ impact angle.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training We plot the element-wise maximum 2D V on Mises stress during the crash with 26.93◦ impact angle

Reference 17

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

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Observation 576076b7-8261-4210-a4a7-7204724256a8 · outbound

This paper cites We also newly simulate two benchmarks.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training We also newly simulate two benchmarks

Reference 18

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raw_fallback, observed 2026-05-21T12:20:07.652404Z

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.

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Observation e364db6b-db39-4b85-82c9-98b52b71d800 · outbound

This paper cites an unresolved cited work.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Unresolved cited work

Reference 19

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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.

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Observation 604722f6-d72b-44f3-a227-6aeb3d6e6096 · outbound

This paper cites For backbone comparison, we configure all the Transformer backbones as 8 layers with 256 hidden channels.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training For backbone comparison, we configure all the Transformer backbones as 8 layers with 256 hidden channels

Reference 20

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

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Observation a814c73e-4710-4da6-b22f-d1b12fd46819 · outbound

This paper cites an unresolved cited work.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Unresolved cited work

Reference 21

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

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Observation 2fb9a4aa-a1af-48de-9b3d-c93e3921d27e · outbound

This paper cites an unresolved cited work.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Unresolved cited work

Reference 22

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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.

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Observation c07acca4-8860-42fe-b684-00453ba30b69 · outbound

This paper cites w/o GeoPT.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training w/o GeoPT

Reference 23

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raw_fallback, observed 2026-05-21T12:20:07.657687Z

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

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Observation 06ba46ba-d713-4c7c-a0bb-5bd2acab526a · outbound

This paper cites prompted.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training prompted

Reference 24

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arxiv_id, observed 2026-05-21T12:20:06.910784Z

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.

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Observation b6a07483-8492-4b37-83ba-f66abd750e30 · outbound

This paper cites prompted.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training prompted

Reference 25

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

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Pith citing papers

Observation b69f1b27-6213-44d4-a755-d95b532b1d03 · inbound

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects cites this paper.

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training

Reference 235

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arxiv_id, observed 2026-05-21T02:04:11.605773Z

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.

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Observation 9d1e5524-b886-43dd-b994-4ef8468cdc5a · 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 GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training

Reference 45

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local_arxiv, observed 2026-06-29T10:03:17.276083Z

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.

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Observation 0804ecd3-68ae-477d-ad0d-9f0b3d67e73f · inbound

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

LEIA: Learned Environment for Interactive Architected Materials GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training

Reference 67

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local_arxiv, observed 2026-06-29T13:43:29.125738Z

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.

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