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Paper Citation Record · LEDGER

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.17527.

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

pith.paper-citation-record.v1
2405.17527 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:47:26.906003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:25.977490Z

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 73cca18f-da52-4a7c-a7a9-db2419cf1360 · inbound

Spectral-inspired Operator Learning with Limited Data and Unknown Physics cites this paper.

Spectral-inspired Operator Learning with Limited Data and Unknown Physics Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:30:31.459826Z

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.

source=pdf_text observed=2026-05-25T08:30:15.509880Z digest=sha256:09fa791566be448eb4d797a92a7bc3478a553af624f193232e03c976322cc6b9

Observation 94f1c74b-1814-404d-a090-353df33b4531 · inbound

SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design cites this paper.

SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:51:17.838503Z

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.

source=pdf_text observed=2026-05-16T21:49:07.072104Z digest=sha256:da830d7acab099fc52299cc51b951a9935d64c7bc1ecdd4256a3e5bdaa1d0940

Observation 07c1e7c8-0b4f-4c39-84d1-00a92b4e2a4d · inbound

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

Latent Generative Solvers for Generalizable Long-Term Physics Simulation Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:22:22.728523Z

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.

source=pdf_text observed=2026-05-16T05:21:13.280286Z digest=sha256:fe29502156cec7e0336a9093f39b1656ab9d57afc2ee7b2b413697ccc8b46d5e

Observation f7dc60da-e92c-43d5-9aa1-cfbf79b09cb6 · inbound

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data cites this paper.

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:48:23.025167Z

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.

source=pdf_text observed=2026-05-13T22:45:53.377753Z digest=sha256:3f1bf53ab9a64e11ea26e782fd05addd04b373393d120b6429b21ff53578b7b6

Observation 920e3650-ab39-41d8-8796-148e1b5bbfef · inbound

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

Replay-Based Continual Learning for Physics-Informed Neural Operators Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:36:07.356960Z

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.

source=pdf_text observed=2026-05-08T17:22:32.572495Z digest=sha256:5605ea2b5955fce113916b40aaa7788d0f99436c868422308dbb31162a05db56

Observation cb7ced0e-0e87-44bd-a658-023049a80d12 · inbound

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

CATO: Charted Attention for Neural PDE Operators Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:56:15.071970Z

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.

source=pdf_text observed=2026-05-12T01:54:41.006685Z digest=sha256:795a4bf5dbd1ac7e429089d6009c8da2f1b033c56f175d49be02ca1a5ca4600b

Observation 3284488a-48ec-4422-a4a9-4bb3c7824916 · inbound

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds cites this paper.

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:25.981544Z

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.

source=pdf_text observed=2026-07-02T01:57:31.255596Z digest=sha256:cb73b79da708bc60e3253fc5a7e13d9ce4a3fd769e731ffdb6fa64ac489d6e4c

Observation 89623257-b420-46aa-a5e2-a1edba282c8a · inbound

Neural operator discovery from heterogeneous trajectories cites this paper.

Neural operator discovery from heterogeneous trajectories Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T23:47:26.906003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:47:26.906003Z digest=sha256:115873f42bac7a7e9a67d185301f5696599b07dd772ad8cb939bfa88b6578f7b