Paper Citation Record · LEDGER

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

As of 3 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 3 inbound Pith citation observations for arXiv:2604.09584.

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

pith.paper-citation-record.v1
2604.09584 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T18:37:30.529209Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:07:00.810189Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T16:36:09.295238Z

Reference resolution

8 of 8 outbound references displayed

verified exact2
verified fuzzy2
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 452eb3ed-57d4-4988-b59c-542eb7d746df · outbound

This paper cites doi: 10.1038/s41586-023-06924-6.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations doi: 10.1038/s41586-023-06924-6

Reference 1

Resolution: verified exact; doi, observed 2026-05-15T18:40:14.458798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 906326ee-794a-4ac3-bf8e-3631aedca206 · outbound

This paper cites URLhttps://www.nature.com/articles/ s43588-022-00264-7.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations URLhttps://www.nature.com/articles/ s43588-022-00264-7

Reference 2

Resolution: verified exact; doi, observed 2026-05-15T18:40:14.463676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e5036eff-e2ff-4113-bd4a-958f9817f024 · outbound

This paper cites an unresolved cited work.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-15T18:40:14.888830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4bc94980-b716-4acc-bb24-d61a433abafe · outbound

This paper cites an unresolved cited work.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-15T18:40:14.904503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9264244e-0d14-4cf0-bfd6-3a4741e7eaa0 · outbound

This paper cites This design ensures that the Critic cannot “accept” fabricated values produced by Planner reasoning.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations This design ensures that the Critic cannot “accept” fabricated values produced by Planner reasoning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:40:14.901005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 74c49ce3-c224-4015-88c9-e81c04cdc055 · outbound

This paper cites an unresolved cited work.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-15T18:40:14.892331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9f9e7950-bf0b-48ae-ab9d-b2cb613b21ae · outbound

This paper cites an unresolved cited work.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-15T18:40:14.908004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 936f6b36-56ec-4752-aa59-3cd9c2633daf · outbound

This paper cites By generating tables and plots programmatically from the stored CSV , the Writer is prevented from introducing numerical values that are not supported by evidence.

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations By generating tables and plots programmatically from the stored CSV , the Writer is prevented from introducing numerical values that are not supported by evidence

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T18:40:14.896539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation b5758985-24b2-4686-8fb6-234ab5d66034 · inbound

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling cites this paper.

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T16:36:09.300474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 76b0829d-6eac-41d8-abb8-bdbc5ca32055 · inbound

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics cites this paper.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T22:21:17.161599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a2424d-1811-4a92-8284-9b1bb413661c · inbound

AGENTS4GEOS: agentic platform for open-source multi-physics simulation cites this paper.

AGENTS4GEOS: agentic platform for open-source multi-physics simulation Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:07:00.810189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.