Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Poseidon: Efficient Foundation Models for PDEs
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2405.19101.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T17:39:28.968821Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
Reference resolution
0 of 0 outbound references displayed
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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 836b86fb-2581-4ca8-8be4-26a0c2fa063d · inbound
Neuro-Symbolic AI for Analytical Solutions of Differential Equations cites this paper.
Neuro-Symbolic AI for Analytical Solutions of Differential Equations Poseidon: Efficient Foundation Models for PDEs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:35:21.221718Z
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 8850a0d6-b88f-4c5d-b7f8-c7a08a45cc3a · inbound
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling cites this paper.
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Poseidon: Efficient Foundation Models for PDEs
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:22:14.677365Z
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 96f98a0f-f136-483f-9737-89ef1e49ca25 · 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 Poseidon: Efficient Foundation Models for PDEs
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:51:17.836974Z
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 c7798586-fa34-4508-aa46-8aceeaa4ad44 · inbound
OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers cites this paper.
OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers Poseidon: Efficient Foundation Models for PDEs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:20:57.976674Z
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 d389f757-21d6-44f3-bd0f-38a68e41bef6 · inbound
Towards Scaling Law Analysis For Spatiotemporal Weather Data cites this paper.
Towards Scaling Law Analysis For Spatiotemporal Weather Data Poseidon: Efficient Foundation Models for PDEs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:40:50.790759Z
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 31b9db4e-88a1-43de-81e4-ccd2a640aca4 · inbound
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting cites this paper.
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting Poseidon: Efficient Foundation Models for PDEs
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:14:46.504106Z
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 161198cd-a4dc-48a5-8d70-c23090c3d628 · inbound
Function graph transformers universally approximate operators between function spaces cites this paper.
Function graph transformers universally approximate operators between function spaces Poseidon: Efficient Foundation Models for PDEs
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:13:18.753462Z
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 939c279d-93f4-412f-bd16-2f3299723326 · inbound
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models cites this paper.
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models Poseidon: Efficient Foundation Models for PDEs
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:14:42.350324Z
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 d39cd300-d69f-4824-a68e-5b8c4fec0d8e · inbound
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models cites this paper.
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models Poseidon: Efficient Foundation Models for PDEs
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:46:39.682410Z
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 415faf4b-754a-4f03-a7f1-4502ab19a692 · inbound
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models cites this paper.
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models Poseidon: Efficient Foundation Models for PDEs
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:44:57.781903Z
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 a2918fba-3cd3-4f94-b1d9-3d5546c182b3 · inbound
WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations cites this paper.
WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations Poseidon: Efficient Foundation Models for PDEs
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:04:46.388064Z
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 face7293-b70e-4e22-8561-e22a355368c8 · inbound
Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System cites this paper.
Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System Poseidon: Efficient Foundation Models for PDEs
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:43:30.820910Z
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 4e13c1a4-1b81-4040-98cc-98ab3abf3de9 · inbound
Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics cites this paper.
Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics Poseidon: Efficient Foundation Models for PDEs
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T11:00:50.762057Z
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.